TCRM Einstein Discovery Consultant Practice Questions Flashcards
A customer displays a lot of data and wants a way to dynamically emphasize certain values on a bar chart in order to properly grab the user’s attention.
What can an Einstein Consultant use to accomplish this task?
A - Customize tooltip
B - Chart Markers
C - XMD
D - Compare Table
B
Which of these is not a method for controlling record-level access?
A - Profiles
B - Sharing Rules
C - Organisation-Wide Defaults
D - Role Hierarchy
A
What’s a good way to see which required questions in the configuration wizard don’t have default values?
A - Answer only questions that involve custom objects
B - Try each option in the dropdown one at a time
C - Download the app and run a SAQL query on the JSON
D - Click ‘Looks good, next’ and look for questions highlighted in red
D
How can you restrict access to Analytics data at the row level?
A - Manually add a flag to each row to prevent access.
B - Use a security predicate to filter which rows are returned.
C - Use subtle thought control.
D - Remove restricted rows from the JSON file.
B
A Tableau CRM consultant decides to use a recipe to create a new dataset.
Which two source types can be used for the recipe?
Choose 2 answers
A - Existing datasets
B - Records from a Salesforce object
C - Dataset lens
D - Connected data (Synced)
A, D
The Tableau CRM team at a company has created three dataflows.
myDataflowOne: this dataflow tasks 2 hours to run.
myDataflowOne: this dataflow tasks 1 hours and 30 minutes to run
myDataflowOne: this dataflow tasks 1 minute and 30 seconds to run.
If all three dataflows run, how many count towards the limit?
A - 3
B - 0
C - 1
D - 2
A
Universal Containers (UC) is a multinational company that utilizes Salesforce and has a variety of internal systems. UC uses Einstein Analytics for their data analysis platform and they want to automate their weekly manual process to create a dataset from their on-premise data warehouse.
Which solution should a consultant recommend to meet this requirement?
A - Utilize a Salesforce weekly export feature
B - Utilize Analytics Connector.
C - Utilize middleware with Analytics External Data API
D - Utilize a dataflow
C
Maximum concurrent API Analytics calls per org?
A - 200
B - 500
C - 100
D - 50
C
What are the two types of bindings? Choose 2:
A - Results binding
B - Data bindings
C - Description bindings
D - Selections bindings
A, D
Default # rows in compare table.
A - 1500
B - 1000
C - 3000
D - 2000
D
Concurrent queries per user?
A - 20
B - 50
C - 10
D - 25
C
How do you create a regression timeseries?
A - In SAQL, use the timeseries function with the following arguments: Partition (the group_by piece), Seasonality (set to 12 to get yearly seasonality).
A
What are the steps in the data exploration process?
A - View, Explore, Refine, Save, Share
B - View, Explore, Reduce, Save, Share
C - Download, View, Refine, Save, Share
A
How many concurrent stories per org are allowed?
A - 5
B - 4
C - 2
D - 1
C
Can you share dashboards with others in your org?
A - Click on the ‘Share’ icon on the dashboard. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot.
B - Click on the ‘Share’ icon on the lens. From there, you can set up sharing options, post a dashboard screenshot to Chatter, get a URL to share, or download a screenshot.
C - No, you can’t share dashboards.
D - Click on the ‘Share’ icon on the dataset.
A
When you assign any Analytics permission set to users in your org, Salesforce auto-assigns the Analytics Platform permission set license to that user.
A - True
B - False
A
What is the order of filter, limit, order and offset functions in SAQL?
A - Filter and order can be interchanged. Offset must be after filter/order and limit must come after offset.
A
Permissions of which 2 internal users are used by Analytics to gain access to Salesforce data?
A - Each user has a corresponding Profile assigned (Analytics Cloud Integration User and Analytics Cloud Security User profiles).
B When you query a dataset that has row-level security based on the User object, Analytics uses the permissions of the Security User to access the User object and its fields.
C - Analytics uses the permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow job runs.
A, B, C
Timeout for ETL jobs that have been scheduled but not executed
A - 5 minutes
B - 15 minutes
C - 20 minutes
D - 10 minutes
A
You are asked to update and maintain your company’s Einstein Analytics dashboards.
A request comes in for one of the dashboards that contains steps from different datasets. The request is to make it possible for a table from one dataset to be filtered by the results of a chart from another dataset. Your solution is to create a results binding.
Which three steps should you implement to create the binding?
A - Look up the API name of the filtering field
B - Look up the API name of the source field
C - Find source and target step names
D - Configure the results binding on the target step in the dashboard JSON.
A, C, D
Before using bindings, you can try using facets to specify interactions between widgets.
A - False
B - True
B
Max story creations per org per month
A - 1000 (can purchase more)
B - 500 (can purchase more)
C - 200 (can purchase more)
D - 500
B
What are the 3 basic actions within a query in Analytics? Choose 3:
A - Aggregate by a measure B - Count rows by measure you want to visualize. C - Filter to narrow down your results. D - Grouping by a dimesnsion E - Display the results graphically
A, C, D
Which of these standard deviations is for a curve that has values that are the most spread out away from the average?
A - 8
B - 1
C - 4
D - 16
D
What is a keyword in SAQL? And what case must it be in?
A - A keyword is basically just a function in SAQL, like group, foreach, etc. And it has to be lowercase.
A
Default rows in values table
A - 100
B - 200
C - 50
D - 75
A
How do you analyze data from a CSV file using Einstein Discovery?
A - Import the CSV file into Einstein Discovery.
B - Import the CSV file into the most similar Salesforce object, then run reports on that object.
C - You can’t import data from a CSV file
D - Import the CSV file into an Einstein Analytics dataset, then create a story.
D
Trending data limits: Maximum number of trended datasets per user and rows per snapshot:
A - 5 per user, 200,000 per snapshot
B - 10 per user, 100,000 per snapshot
C - 10 per user, 200,000 per snapshot
D - 5 per user, 100,000 per snapshot
D
Max Analytics API calls per user per hour:
A - 50,000
B - 10,000
C - 5,000
D - 100,000
B
In what order does Einstein Discovery present the insights that it uncovers?
A - Alphabetical, in ascending order
B - Alphabetical, in descending order
C - Insights that explain the most variation in the outcome variable, in ascending order
D - Insights that explain the most variation in the outcome variable, in descending order
E - B and D
D
How many stories can you create in Analytics Plus?
A - 5,000
B - 1,000, but more can be purchased
C - 75, but more can be purchased
D - 500, but more can be purchased
D
An Einstein Consultant is reviewing the ‘Why it Happened’ Insights provided by Einstein Discovery with the customer. The customer would like to validate the results.
Which action should the consultant take?
A - Show the customer how to export and review the R-Code model validation results
B - Check the p-values and standard deviation
C - Use the Share and Export feature to help the customer determine if the findings make logical sense
D - Consult with a Data Scientist to validate the findings
C
Upper and lower limits on columns (vars) in discovery:
A - 20 column minimum, 50 maximum
B - 10 column minimum, 200 maximum
C - 2 column minimum, 50 maximum
D - 2 column minimum, 25 maximum
C
How many external files can be uploaded to Einstein Analytics on rolling 24 hour basis?
A - 100 files per dataset
B - 300 files per dataset
C - 500 files per dataset
D - 50 files Per dataset
D
In the Insights list, insights are ranked in what order?
A - Time B - Geospatial C - Statistical significance D - Alphabetical E - There is no order
C
Can you share data from a widget?
A - No, you can’t share data from a widget.
B - Select the step of the widget and share data.
C - Select ‘Share’ icon, click on ‘Download’, and select ‘Download in .png, .XLS, or CSV’ format.
D - Only with the proper Einstein Analytics Platform license.
C
An Einstein Analytics team wants to create a dashboard using two standard Salesforce objects. The dashboard should display data from the Case object, along with related data from the Account object.
Which two processes can achieve this?
A - Extract data from the case and account objects using ‘sfdcDigest’ transformation, Q use ‘append’ transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset
B - Extract data from the case and account objects using an ETL tool, use the ETL tool to y/ Q join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset
C - Extract data from the case and account objects using ‘sfdcDigest’ transformation, y/ Q use ‘augment’ transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset
D - Extract data from the case and account objects using ‘dataloader’, create a CSV file Q with account and case data, and then upload the CSV as a dataset to Einstein Analytics. Build a dashboard using that dataset
B, C
In Einstein Discovery (Choose 3):
A - ‘What Is The Difference’ insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.
B - ‘Why It Happened’ insights help you take a deeper look into the exact factors that led to an outcome. Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story’s goal. These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.
C - ‘Predictions and Improvements’ insights help you explore what might happen in the future. For example, you can interactively perform ‘what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses:
- waterfall charts for predictions
- bar charts for suggested improvements
D - ‘What Happened’ insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.
A, C, D
Max of objects that can be enabled for Data Sync
A - 200
B - 100
C - 150
D - 50
B
Max story creations per org per day:
A - 40 per org
B - 40 per org per day
C - 20 per org
D - 20 per org per day
D
What can you change in a Compare Table formula column?
A - The filters
B - The measure
C - The grouping
D - The formula and the name
D
Max number of dataflow definitions (with data sync enabled)
A - 35
B - 55
C - 25
D - 15
A
The Einstein Analytics team at a company created a clataset based on the
Opportunity__c custom object. The VP of Sales reports seeing the message ‘No results found’ when opening the dataset to explore it. Other users below the VP in the role hierarchy can see rows on the same dataset.
Which two problems might be causing this issue?
A - The Salesforce profile for the VP does not have read permission on some fields of the Opportunity__c custom object
B - The Security Predicates set up at the dataset level are preventing the VP from seeing data
C - The dataset is inheriting sharing from Salesforce and the VP can see more than 3000 rows
D - The Salesforce profile for the VP does not have read permission on the Opportunity__c custom object
C, D
What permissions are necessary for someone to edit the XMD?
A - Upload External Data to Analytics
B - Manage Analytics Templated Apps
C - Edit Analytics Dataflows
D - Edit Dataset Recipes
A, C
Salesforce Analytics is…
A - An application built on top of Salesforce
B - A tool for analyzing surf reports and forecasts
C - A CRM alternative to Salesforce
D - An online repository of infographics
A
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?
A - Third-order analysis B - Object-oriented analysis C - Second-order analysis D - First-order analysis E - Spectrum analysis
D
Upper and lower limits on rows in discovery.
A - 1000 row minimum, 15,000,000 max
B - 3000 row minimum, 20,000,000 max
C - 00 row minimum, 20,000,000 max
D - 500 row minimum, 25,000,000 max
C
What do you have to assign to users before they can access Analytics?
A - Analytics permission set license (PSL)
B - Permission set with at least one Analytics user permission
C - Username and password
D - A and B
E - B and C
D
What does XMD stand for?
A - Configuring unsupported fields
B - Lenses Dataset Fields
C - Extended Metadata
D - Create a JSON
C
Number of queries per user per day
A - 10,000
B - 50,000
C - 1,000
D - 20,000
A
What are the two main parts of a lens/exploration?
A - Query B - Visualization C - Dataset D - Measure E - Grouping
B, E
Is there a need for a separate Permission Set Licence for an Analytics app?
A - Yes
B - No
A
What kind of org should you use for checking challenges when you do Trailhead modules about Analytics?
A - An enterprise org, because that type of org is typically used by large companies
B - A trial org, because you don’t need to save anything
C - A Developer Edition org, because it’s a free, safe environment where you can try things out
D - A higher education org, because analytics requires advanced math
C
Which security feature can be used to give Regional Development Coordinator roles access to only their designated regions and seed bank orders?
A - Inherited security
B - Security predicates
C - Separate apps for each region
D - Sharing rules
B
To see predictive insights, what option do you select in the Story toolbar?
A - What Changed Over Time B - How Can I Improve It C - Predictions & Improvements D - Why It Happened E - What Happened
C
Einstein Discovery gives you several different kinds of recommended insights. Which of these insights is descriptive?
A - What Happened
B - Why It Happened
C - Predictions & Improvements
D - What Is the Difference
A
The Event Monitoring Analytics app brings prebuilt insights and analytics to what type of existing data in your org?
A - Field audit trail data
B - Forensics data
C - Sales Cloud data Login
D - Event log file data
D
Which isn’t an option for setting a security predicate for a dataset created from an external data file?
A - In the metadata file associated with the external data file using the rowLevelSecurityFilter key
B - In the Register transformation node of a dataflow that uses this dataset
C - In the dataset Security Predicate
D - On each row prior to upload
D
Mosaic recently hired a new development coordinator, Zoe.
First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can’t access Einstein Analytics.
What could be the problem?
A - An admin hasn’t run a dataflow.
B - Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.
C - Danielle didn’t share the Mosaic app with Zoe in Einstein Analytics.
D - Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.
D
In a Compare Table formula, you can refer to other columns with:
A - Their names
B - Numbers (1..9)
C - Letters (A..Z)
D - All of the above
C
What can you do on the Edit Field Attributes page when uploading a CSV file to Analytics?
A - Change a field’s name
B - Change a field’s format
C - Change a field’s type
D - All of the above
D
How many groupings can you have in a Compare Table?
A - None
B - One
C - Infinite
D - Up to four
D
What is the test called that helps to identify categories that exhibit a pattern outside the overall average?
A - Null hypothesis test B - Significance level test C - Critical region test D - Chi-square test E - T-test
E
What is an Analytics app?
A - A specialized version of the Einstein Analytics platform that runs outside of Salesforce
B - Analytics for iPad
C - A collection of datasets, dashboards, lenses, and a dataflow
D - The blueprint for your org’s Einstein Analytics implementation
C
You can configure access to data at all of the following levels, except:
A - Organization
B - Records
C - Page Layouts
D - Objects
C
Where can you view the status of a CSV upload in Analytics?
A - The data manager
B - The Analytics home page
C - The Create Dataset page
D - The Setup menu
A
When Analytics runs a dataflow that accesses Salesforce objects, which user does it use?
A - The current user
B - The system administrator
C - The Integration User
D - The record owner
C
In the list of insights, the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variation in the outcome variable.
When you select one variable, what are you comparing?
A - Selected variable with CLV
B - Selected variable average with the mean
C - Selected variable with a different variable
D - Selected variable average with the filtered average
E - Selected variable with all story data
E
In what order does Einstein Discovery present the insights that it uncovers?
A - Alphabetical, in ascending order
B - Alphabetical, in descending order
C - Insights that explain the most variation in the outcome variable, in ascending order
D - Insights that explain the most variation in the outcome variable, in descending order
D
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?
A - First-order analysis B - Second-order analysis C - Third-order analysis D - Spectrum analysis E - Object-oriented analysis
A
Why would you use a merge key in a dataset recipe?
A - To find out what the merge icons represent in a dataset
B - To schedule when a dataset recipe runs
C - To join related data from different sources
D - To deal with duplicate records
C
What can you do in a dataset recipe?
A - Extract external data into Analytics
B - Build a dashboard
C - Combine data from different datasets
D - Make a data chili
C
How do you post to Chatter from a Sales Wave dashboard?
A - Open the Actions menu for an opportunity or account and select Post
B - Select Post to Chatter from the Actions drop-down at the top of the dashboard
C - Right click any bar and type your message
D - Send an email to a team member with ‘chatter:’ in the subject line
A
Yasmine wants to create a lens with the Seed Bank Orders dataset, but she currently doesn’t see any rows in the dataset. Since Yasmine is Hadiqa’s manager, Yasmine asks Hadiqa if she’s experiencing the same problem, but Hadiqa replies that she can see all the rows. Why is this happening?
A - The dataset’s security predicate was set up incorrectly.
B - Yasmine doesn’t have the Manager app role.
C - Yasmine wasn’t assigned a permission set.
D - Yasmine doesn’t have the Create and Edit Analytics Dashboards permission.
A
Einstein Discovery is a tool that:
A - Is like having a personal data scientist on staff
B - Replaces your team of BI experts and data analysts
C - Helps you hire the best data scientist for your business
D - Understands your business better than you do
A
Which of the following is true about the Service Analytics Overview dashboard?
A - It instantly provides key metrics on open cases, average time to close, first contact resolution, and customer satisfaction.
B - It lets you drill down to more detailed dashboards, like agent performance, channel review, and telephony metrics.
C - It’s available on desktop and mobile.
D - It’s a great place to start your analysis.
E - All of the above.
E
Why is it important to select the right root object when you use the dataset builder?
A - The root object determines who can see the dataset.
B - Only data from the root object can be included in the dataset.
C - The root object determines what related objects you can add to the dataset.
D - The root object determines what app the dataset is saved in.
C
Creating an Einstein Discovery story involves:
A - Selecting a Dataset in Einstein Analytics, then clicking Create Story
B - Copying text from company reports and pasting into Einstein Discovery
C - Uploading a Microsoft PowerPoint presentation
D - Entering notes about the data
A
What is a valid permission for a permission set?
A - Enable Parental Control
B - Always Sign Me Up for Dreamforce
C - Sales Analytics Apps
D - Access Sales Cloud Analytics Templates and Apps
D
What’s the magic of faceting?
A - It binds charts together so that selecting something in one chart filters other charts by that choice.
B - It shifts the time period of the chart you’re viewing.
C - It turns the dataflow on and off.
D - It creates a chart that shows all the faces of your data in a diamond chart.
A
You can get data into Einstein Discovery:
A - By connecting a USB drive to your laptop
B - By using an Einstein analytics dataset
C - Only if your database administrator does it for you
D - Only if Salesforce does it for you
B
Yasmine told Danielle she’s interested in using the artificial intelligence provided by Einstein Discovery to enhance analysis Mosaic probably wouldn’t have considered through their own means. How can Danielle use Einstein Analytics to load data into Einstein Discovery?
A - It’s not possible. Danielle will need to log into Einstein Discovery and import the data from there.
B - Danielle needs a permission set containing the Download Analytics Data permission, then she can use the Export node to load data into Einstein Discovery.
C - Danielle needs a permission set containing the Upload External Data to Analytics permission, then she can log into Einstein Discovery and import the data from there.
D - Data loaded into Einstein Analytics as datasets can then be used in Einstein Discovery without a separate load process.
D
Insights in a story show you how different variables and combinations of variables explain the variation of what kind of variable?
A - Explanatory variable B - Outcome variable C - Global variable D - Local variable E - Tertiary variable
B
What are Einstein Analytics prebuilt permission sets? Select 2:
A - Einstein Analytics Platform Admin
B - Einstein Analytics Platform User
C - Einstein Analytics
D - Einstein Analytics Superadmin
A, B
What do you have to assign to users before they can access Analytics?
A - Analytics permission set license (PSL)
B - Permission set with at least one Analytics user permission
C - Username and password
D - A and B
E - B and C
D
What happens if you first disable Analytics, and then you re-enable Analytics later? Select 2
A - User permissions are removed from each defined permission set if Analytics is disabled.
B - User permissions are not removed from each defined permission set if Analytics is disabled.
C - You must define the permission sets again if Analytics is re-enabled.
D - You must not define the permission sets again if Analytics is re-enabled.
A, C
Philip adds a recently created Seed Bank Orders dataset to an Einstein Analytics app for which the Mosaic Seed Bank project team has the Viewer app role. How much data in the Seed Bank Orders dataset can a project team member see?
A - None of the data
B - Only rows designated by the Salesforce administrator
C - All rows and fields in the datasets
D - Only rows designated by the App Manager
C
What is an Einstein Discovery story?
A - An account of imaginary or real people and events told for entertainment
B - A collection of graphs, statistical analysis, and text that helps you understand the relationships between multiple outcome variables and the factors that influence those variables
C - A collection of graphs, statistical analysis, and text that proves exactly what caused an outcome
D - A collection of graphs, statistical analysis, and text that helps you understand the relationships between a single outcome variable and the factors that influence that variable
D
Why would you use the Actions menu in a chart?
A - To expand the time period shown in a dashboard
B - To rearrange widgets in dashboards
C - To post to Chatter
D - To create workout plan for you and your team
C
Benito has Viewer access to a new Einstein Analytics app. He wants to build and edit a dashboard using the Seed Bank dataset in this new app. What must an admin do for Benito to do this?
A - Grant Benito access to all datasets in the org.
B - Assign Benito a permission set that contains the permission: Create and Edit Analytics Dashboards.
C - Grant Benito access to the app that contains the Seed Bank dataset and assign him a permission set that contains the Create and Edit Analytics Dashboards permission.
D - Assign Benito a permission set that contains the permission: Create and Manage Analytics Apps.
C
Why are insights in the Unrelated category important?
A - They explain everything about the outcome.
B - They aren’t important. Hence the name, Unrelated.
C - They explain how interaction terms affect the outcome.
D - The outcome might not have much to do with related variables. It might have more to do with global effects.
D
Which security option is not available in Einstein Analytics for securing datasets?
A - Inherited security
B - Row-level security with security predicates
C - Field-level security
D - App level security
C
Which of the following are requirements for enabling Analytics for Communities?
A - Wait at least 3 days after purchase.
B - Have a Customer Community Plus or Partner Community license.
C - Be nominated by your community peers.
D - Assign your community members the Analytics for Communities permission set license.
E - B and D
E
What do Analytics apps do?
A - Let you add new types of charts to Salesforce
B - Alert you when you need a visa for an upcoming trip
C - Use ready-made dashboards to tell easy-to-follow stories about your data
D - Let you create configuration wizards to make Analytics setup easier
C
What happens if the ui.json file is empty?
A - You create a text-only version of an app.
B - The template will not include a configuration wizard.
C - The dataflow fails.
D - The app includes all possible dashboards by default.
E - B and D
B
What can you do with the dataflow?
A - Extract data from an external CSV file into Analytics
B - Extract Salesforce object data into Analytics
C - Build a dashboard
D - Explore a dataset
B
What’s the best way to describe the template-info.json file?
A - It’s a read-only file with all the user documentation for a template.
B - It’s the boss of the template with all the information needed to create the app.
C - It makes sure that the app includes all the right Salesforce data.
D - It’s automatically populated every time you create an app from the template.
B
In the context of Analytics, what is faceting?
A - Representing the number of widgets on a dashboard
B - Filtering all related widgets in a dashboard by your selection
C - Something only programmers can access
D - Measuring the number of significant digits of precision for a particular metric
E - Choosing the color of the background in a graph
B
What does Einstein Analytics check when a user submits a query against a dataset?
A - Whether the user has access to the app
B - Which fields the user has access to
C - If the user has access to the dataset
D - Which rows the user has access to
D
Why is it important to prepare the data in a CSV file before you bring it into Analytics?
A - To remove column headers
B - To make sure the content is interesting
C - To add currency symbols to numeric fields
D - To make sure Analytics can set the field type correctly
D
When you set up Analytics, which of the following features can you enable?
A - Low-fuel notifications B - Sharing of apps with Communities C - Access to the API D - A and B E - B and C
E
What does the Division is Naval section of the waterfall graph tell you?
A - How combinations of factors affect the CLV for Naval customers
B - How individual factors separately affect the outcome for Naval customers
C - What the relationship is between significant and insignificant factors as they impact CLV for Naval customers
D - How the chosen variable is related to all other factors in the model for Naval customers
A
How do you open the Actions menu for a particular case shown in a dashboard?
A - Click the Actions bar from a bubble chart
B - Hover over the case number column of the values table widget and click the arrow that appears
C - Double-click the case number in the Actions widget
D - Simply @mention the case manager for that segment
B
What are predictive insights good for?
A - Predicting outcomes that you don’t actually have the right data for
B - Exploring your existing data to see what already happened
C - Drilling down into the underlying reasons behind a prediction
D - Choosing between all possible outcomes for a single variable
C
About what does the configuration wizard ask you questions about how you measure?
A - Case duration B - Customer geography C - Customer satisfaction D - Case resolution E - All of the above
E
To use the Sales Analytics app, which permission set license do you need?
A - Sales Wave
B - Sales Analytics Apps
C - Analytics Templated Apps
D - Security User
B
What can changing an answer to a wizard question do?
A - Alter your Service Cloud implementation
B - Fine-tune dashboards to reflect how your company measures key indicators
C - Create a new set of dashboards with new KPIs
D - Use up one of the three wishes granted you by the wizard
B
What kind of insight is ‘What Is The Difference’?
A - Descriptive B - Diagnostic C - Predictive D - Prescriptive E - Selective
B
What does a configuration wizard do?
A - Automatically creates multiple versions of the same app
B - Lets you know the best way to set up your Salesforce data
C - Asks you questions about how you store data in your org to help you create your app
D - Customizes your template based on Salesforce settings
C
Which permission gives you view-only access to Analytics?
A - Use Analytics
B - Manage Analytics
C - Create and Edit Analytics Dashboard
D - None of above
A
What are two main steps for creating a dataset?
A - Run and monitor
B - Plan and map
C - Extract and prepare
D - Build and explore
C
Which of the following are included in the template object?
A - ui.json B - app.json C - variables.json D - A,B and C E - A,C
E
As part of their analysis, Yasmine, Tonya, and Hadiqa need to create and save lenses to their project app. What is the minimum app role they need to do this?
A - Manager
B - Viewer
C - Editor
D - Designer
C
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story?
A - No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
B - No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
C - Yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
D - Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
B
A new field called ‘CardBalance’ is added to the standard object. Account. The team wants to add this new field to an Einstein Analytics dataset that sources the Account object; however, the team needs to limit the users who are able to view that field’s data in the dataset.
How can an Einstein Consultant help them implement this new requirement?
A - Add the new field to the existing dataset and use the XMO file parameters to hide the new field from users who should not have access to it.
B - Add the new field to the existing dataset and activate ‘Sharing inheritance’ in the Account object so only users who have access to the field in Salesforce will have access in Einstein Analytics.
C - Create a new Account dataset containing the new field and give access to this dataset only to users who should be able to see the new field.
D - Add the new field to the existing dataset and use ‘Security Predicates’ to hide it from users who should not access it.
C
The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.
How can an Einstein Consultant address this need?
A - Create one application for each department and use roles to share applications.
B - Create one application for each department, put common datasets in the shared app, and use profiles to share applications.
C - Create one application for each department, put common datasets in the shared app, and use roles to share applications.
D - Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.
C
An Einstein Analytics team reports that when they start their dataflow it runs successfully with no errors or warnings, but one of the fields does not return values when it is queried.
What can be the origin of this issue?
A - The field does not contain any data in Salesforce.
B - The user who runs the dataflow does not have access to the field.
C - The ‘Integration User Profile’ does not have access to the field.
D - The ‘‘Security User Profile’ does not have access to the field.
A
A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarchy?
A - digest transformation
B - flatten transformation
C - delta transformation
D - sfdcDigest transformation
B
Which three parameters are used in a compare table formula field to calculate and display a field as percentage value? Choose 3 answers
A - Calculation B - Column Color C - Format D - Length E - Column Name
A, C, E
The Universal Containers company built three Einstein Discovery stories that they want to use in Salesforce to predict and maximize their revenue per customer. The stories are for every region where they have business: EMEA, AMER, and APAC.
How can a consultant help them deploy the three Einstein models to Salesforce?
A - Segment the account data per region and deploy the same model to all segments.
B - Deploy the same model to all accounts and set the region field as an actionable variable.
C - Deploy the same model to all accounts and use an Apex trigger to call the appropriate prediction.
D - Segment the account data per region and deploy the appropriate model for each segment.
D
A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the ‘CloseDate_Month’ field, the list filter shows numbers instead of names.
How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?
A - flatten
B - compute Relative
C - compute Expression
D - append
C
The client is trying to create a SAQL step to predict sales in each sales region. They cannot get the query to return any results, but have identified that the error is in the time series statement. They have asked an Einstein Consultant to review the following query and fix any errors.
q = load "sales";
q = group q by ('Date_Year", "Date_Month", "Region");
q = foreach q generate 'Date_Year', 'Date_Month', 'Regions', sum('Sales') as 'sum_Sales';
q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=("Date_Year", "Date_Month, "Y-M"), partition = 'Region');
q = foreach q generate 'Date_Year' + "~~~" + 'Date_Month' as 'Date_Year~~~Date_Month', 'Region', coalesce('sum_Sales', 'Forecasted_Sales') as 'Sales';
q = order q by ('Date_Year~~~Date_Month' asc, 'type' asc);
q = limit q 2000;
A - q = timeseries q generate ‘sum_Sales’ as Forecasted_Sales’ with (dateCols=(‘Date_Year, Date_Quarter’, ‘Y-Q’), partition=Region’, ignoreLast=true);
B - q = timeseries q generate ‘sum_Sales’ as Forecasted_Sales’ with (Iength = 12, dateCols=(‘Date_Year’, ‘Date_Month’. ‘Y-M’), partition=’Region’);
C - q = timeseries q generate ‘sum_Sales’ as Torecasted_Sales’ with (dateCols=(‘Date_Year’, Date_Quarter’, ‘Y-Q’), partition=’Region’, seasonality=4);
D - q = timeseries q generate ‘sum_Sales’ as Torecasted_Sales’ with (dateCols=(‘Date_Year’, Date_Quarter’, ‘Y-Q’), partition=’Region’);
Which timeseries statement will fix the query’
B
A company used Einstein Analytics to create two datasets:
- ‘Opportunity With Account- dataset, which contains data from the Opportunity standard object augmented by the Account data.
- ‘Case with Account’ dataset. which contains data from the Case standard object augmented by the Account data.
The company wants to build a lens showing the total number of Opportunities and Cases per Account. How can a consultant help them build this lens’
A - Create a recipe to generate a new dataset from the ‘OpportunityWithAccount’ and ‘CaseWithAccount’ datasets aggregated by Account, and use the generated dataset in a lens.
B - Use ‘Compare Table’ to join the ‘OpportunityWithAccount’ and ‘CaseWithAccount’ datasets using the ‘Accountld’ and then aggregate by Account.
C - Set up Connect Data Sources in the UI between the ‘OpportunityWithAccount’ and ‘CaseWithAccount’ datasets.
D - Use a SAQL query to group and join the ‘OpportunityWithAccount’ and ‘CaseWithAccount’ datasets then generate the results.
D
A consultant built an Einstein Analytics app for the Sales Operations team. The team wants to share this app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
In the process of creating the template, which role does the original Einstein Analytics app for the Sales Operation team play?
A - It is the template.
B - It is the instance.
C - It is the master.
D - It is the target.
C
A Senior Sales Business Analyst asks for a dashboard that contains fiscal year product opportunities. Information is maintained in a spreadsheet which is comprehensive, but its contents often need to be explained. After sketching the dashboard, the consultant is ready to start building.
Which concept should be applied to this dashboard?
A - Limit widget actions and exploration so users will focus only on the high-level information.
B - Use the different chart types to make the dashboard interesting and appealing.
C - Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.
D - Use charts to help users ask questions, not illustrate a conclusion.
D
Universal Containers has a dashboard for Sales Managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. An Einstein Consultant created a static step to display three values: ClosedDate_month, ClosedDate_quarter, and ClosedDate_year.
What should the consultant do next?
A - Use nested binding to update the grouping in the chart.
B - Use selection binding to update the measure in the chart.
C - Use result binding to update the measure in the chart.
D - Use selection binding to update the grouping in the chart.
D
A company uses role hierarchy to implement data security in Salesforce. They want the same role-hierarchy-based security model to apply in Einstein Analytics, but want the users in a role to see data owned by other users in the same role.
Using the ‘flatten’ transformation, which attribute setting achieves this requirement?
A - Set the attribute ‘selfjield’ to true.
B - Set the attribute ‘selfjield’ to false.
C - Set the attribute ‘include_self_id’ to true.
D - Set the attribute ‘include_self_id’ to false.
C
Exhibit:
Which two statements can be determined based on the Why it Happened graphic above’ Choose 2 answers
A - Germany performs lower than average but better when the product is Call Center.
B - The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.
C - Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.
D - Germany sells more Call Center product and that helps them increase their win rate.
C, D
In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word ‘Yes’ in green; a value of false should result in the display of the word ‘No’ in red.
In which two ways can this be accomplished? Choose 2 answers
A - Download the XMD for the dataset and change the values and color for the fields and then upload to the dataset.
B - In the explorer, select the boolean fields and use the ‘edit values’ option on the fields to change values and colors.
C - Create an XMD node in the dataflow to change the label and color of the values in the fields.
D - In the explorer, select the boolean fields, then create a derived dimension that references the boolean fields, and then modify the values and colors of the derived dimension.
A, B
Exhibit:
Universal Containers has a Sales Manager dashboard. They need to build a table as shown in the graphic and calculate the summary as the first line in a compare table.
How can the summary be calculated?
A - Use the Show Summary option in the compare table.
B - Add a formula field to calculate the summary.
C - Use a SAQL query since the summary is not available in standard interface.
D - Create a computeExpression field in the Dataflow to calculate the summary.
A
Exhibit:
A shipping company created a dataset. ‘Bookll,’ containing budget per region per month for the first six months of 2018. The dataset is shown in the graphic. Now, they want to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.
How can an Einstein Consultant help this company build this lens?
A - Use a SAQL query leveraging the ‘fill’ statement with a ‘partition’ parameter.
B - Use a SAQL query to create fake rows for any data that is missing data from the dataset.
C - Use a ‘Compare Table’ and use the ‘Show summary’ option.
D - Use a ‘Compare Table’ and add a column leveraging the ‘Running Total’ function.
A
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.
Given that the steps are using different datasets. which two changes can an Einstein Consultant make to solve this issue’ Choose 2 answers
A - Use ‘Connect Data Sources’ and create a connection to connect the two datasets.
B - Use selection binding in the filters section of Che step ‘Step_pie_2.’
C - Use ‘Connect Data Sources’ and create a connection to connect the two widgets.
D - Use selection binding in the filters section of the step ‘Type_l.’
A, B
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
A set of JSON files will be generated after a template is created from the Sales Operations app. What is the name of the JSON file that manages template metadata and all other template elements?
A - ui.json
B - template-to-app-rules.json
C - aster- info.j son
D - template-info.json
D
Which three things can be done with the Einstein Analytics Dashboard Inspector? Choose 3 answers
A - Automatically remove bottlenecks to make queries run faster.
B - Get a list of recommendations on how to improve the performance of the dashboard.
C - View all queries and the time it took to run each one.
D - View the total time required to run all queries.
E - See the final query for each step along with query results.
B, C, E
When organizing information in an Einstein Analytics dashboard, what does the ‘Progressive Disclosure’ design principle mean’
A - Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.
B - Utilize the latest templates for the most modern look and feel.
C - Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.
D - Implement strict security predicates to minimize the amount of information displayed to users.
A
Using the Setup menu, the Universal Containers company activated data sync (replication) in the Einstein Analytics settings. After running the sync, they notice that the aggregate sum of a field within their dataset is different than what they manually calculated by summing the same data in the Salesforce object from which the dataset was populated.
Which two differences in the newly synced data can explain this? Choose 2 answers
A - Differences involving permanently deleted records
B - Differences involving workflow-updated fields
C - Differences involving formula fields
D - Differences involving trigger-updated fields
A, C
The Vice President of Sales wants to create a ‘Pipeline Trending’ dashboard in Einstein Analytics that displays specific colors depending on the values of the fields.
Which two techniques can a consultant use to help address this requirement? Choose 2 answers
A - Use an XMD file and assign colors to each field value.
B - Use SAQL queries to calculate a color field and assign it to each field value.
C - Use a compute Expression to calculate a color field and assign it to each field value.
D - Use the ‘fields’ menu when exploring the dataset and assign colors to each field value.
A, D
A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?
A - Use the Analytics External Data API and leverage the ‘query’ resource.
B - Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.
C - Use the Analytics REST API and leverage the -query’ resource.
D - Export the dataset as a CSV file and load it to an external database.
A
A dataset is ready for analysis in Einstein Discovery.
What is the first step a consultant should take after the data is loaded?
A - Identify data types and define the appropriate data as numeric.
B - Analyze data columns and decide which, if any, to drop.
C - Produce a graph of the data to analyze.
D - Load the data into Einstein Analytics
A
In a story investigating margin, large variations between product groups are dominating the story. Which action might an Einstein Consultant take to resolve this?
A - Add more data to the dataset.
B - Normalize the margin by product group.
C - Eliminate extreme values in the dataset.
D - Run separate stories for each region.
C
A Salesforce administrator wants to create a new dashboard that uses custom geoJSON to display data; however, the administrator is unable to upload the file via the UI.
What should be done?
A - Add the system permission ‘Manage Analytics Custom Maps’ to the permission set used.
B - Enable ‘Custom maps with geoJSON’ in the analytics settings.
C - Upload the geoJSON via the API because it is not a function in the UI.
D - Contact Salesforce support and request to get custom maps and geoJSON enabled for the org.
A
A dashboard dataset is growing and the Einstein Analytics consultant notices an impact on performance. The consultant needs to make a few adjustments.
Which three actions can the consultant take to improve dashboard performance? Choose 3 answers
A - Reorganize the dashboard widgets.
B - Distribute steps among separate pages.
C - Use SAQL code to join datasets at runtime.
D - Replace separate step filters with a global filter.
E - Move calculations to a dataflow.
B, D, E
The Universal Containers company uses a Microsoft Azure SQL Data Warehouse to gather information about sales representatives’ objectives. They want to use Einstein Analytics to gain insights from this data; therefore, they need to automatically load the warehouse’s data into an Einstein Analytics dataset on a daily basis. The data also needs to be transformed and merged with data from the company’s org.
Which three Einstein Analytics user interface features can be used to complete these requirements? Choose 3 answers
A - Dataflow
B - Microsoft Azure SQL Data Warehouse Connector
C - Einstein Analytics Connector for Excel
D - Recipes
E - Analytics REST API
A, B, D
Which chart type is best suited to track progress of sales revenue that is realized versus the target?
A - Bar chart
B - Flat gauge
C - Pivot table
D - Pie chart
B
The client asks an Einstein Consultant to build a dashboard with a chart that shows revenue and quantity of units sold. Which type of Combo Chart can the consultant use?
A - Line over Scatter Plot
B - Grid over Bar
C - Line over Bar
D - Line over Stacked Bar
C
A consultant is asked to configured a user to view a dashboard, within a designated app, without the ability to create and save lenses.
After adding the user to the app, which action should the consultant take to implement this requirement?
A - Assign the Manager role the user
B - Ensure the user has the Analytics permission
C - Assign the Editor role the user
D - Assign the view role to the user
B
A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story’s initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?
A - Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
B - Use the credit card company’s domain knowledge and exclude the third-party payment app from the story.
C - Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
D - Ask the credit card company for a more comprehensive dataset to analyze.
C
A consultant created a dashboard using Einstein Analytics for her client, a shipping company. It sources data from very large datasets. Now the client has requested that the consultant add more steps to the dashboard.
To ensure that the dashboard has acceptable performance, what two actions should the consultant take? Choose 2 answers
A - Check if any steps can be reused for multiple purposes.
B - Replace AggregateFlex steps with SAQL steps.
C - Split the steps and charts into different pages in a dashboard.
D - Avoid using conditional formatting.
A, C
After getting approval of the dashboard layout design for a desktop, the Einstein Analytics consultant is ready to start the design process for a mobile layout.
What are three considerations that the consultant should keep in mind when developing the layout? Choose 3 answers
A - If no layouts are eligible for the mobile device, the first defined layout is used.
B - If no layouts are eligible for the mobile device, an error message will be displayed.
C - If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used.
D - A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel.
E - There are widgets that cannot be displayed on mobile layouts.
A, C, D
An Einstein Analytics consultant is notified of a performance issue with data sync (replication). The consultant researches the issue and determines that unnecessary data is being synced.
Which solution should the consultant implement to help improve data sync (replication) performance?
A - Modify dataflows to exclude unused fields and include a filter to extract relevant data.
B - Scale down the number of datasets to help improve data sync (replication) performance.
C - Start over again with new dataflows that exclude unused fields with a filter to extract relevant data.
D - Update the existing data sync (replication) process by removing unused fields with a filter to extract relevant data.
D
An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers
A - When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.
B - By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.
C - The customer’s org must have a Shield Platform Encryption tenant secret.
D - Bring Your Own Key is not supported.
A, C
A Einstein Analytics consultant is asked to help a company report on their sales activity. The company wants to train some users to create their own dashboards. They also want another team to only be able to use the dashboards.
What must be configured to address these requirements?
A - Create two permission sets with different system permissions.
B - Use a permission set license with two different levels of access.
C - Grant ‘Manage’ access permission to the apps.
D - Create a permission set license assignment with two different levels of access
A
Exhibit (question 153)
A company wants to create a timeline chart to visualize the evolution of their Closed Won Opportunities. What are the required parameters to build a lens that displays output similar to the image shown?
A - 2 measures, 0-2 groupings if trellis is disabled, or 0-4 groupings if trellis is enabled
B - 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled
C - 1 measure, 1 grouping by a date field, and either 0-1 groupings by a dimension if trellis is disabled, or 0-2 groupings if trellis is enabled
D - 1 measure, 0 groupings if trellis is disabled, or 0-2 groupings if trellis is enabled
C
Which Einstein Analytics asset or assets are created when using an App Template to create an app?
A - The app, dataflows and datasets, dashboards, and permission sets
B - The app, dataflows and datasets, and dashboards
C - The app, dataflows and datasets, and users
D - An empty app
B
Which three statements are true regarding sharing inheritance? Choose 3 answers
A - If a user can see more than 3,000 records on the object in Salesforce, but the user does not have the ‘View All Data’ permission,
sharing inheritance is not used. The backup security predicate takes effect. This limitation does not apply to the Opportunity object.
B - Sharing inheritance supports Account, Campaign, Case, Contact, Opportunity, Lead, Order, User, and custom objects. If you use
other objects, such as Idea or Site, you must use security predicates for those objects.
C - A dataset using sharing must also have a security predicate defined.
D - Sharing inheritance supports a foreign key for enforcing security.
E - When sharing inheritance is enabled, security predicates are ignored.
A, B, C
The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.
Which two actions should a consultant take? Choose 2 answers
A - Deploy the story, because the variation in the metrics is within the normal range.
B - Confirm that the overall GINI coefficient is good prior to deploying the story.
C - Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.
D - Do not deploy the story immediately, and research why one fold is performing worse than the others.
B, D
Universal Containers has a dashboard for Sales Managers to visualize the YoY Growth of their customers- The formula used is: YoY = [(This Year - Last Year) / Last Year] %
Based on the graphic, when there is no account in the Last Year column, the YoY Growth shows null results. The Sales Managers want to replace it with 100% value.
What is the correct function to use?
A - replace()
B - number_to_string()
C - coalesce()
D - substr()
C
A client has a dataset comprised of Opportunity data and Opportunity Line level data. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate.
What must be done to the dataset to achieve this goal?
A - Select the isWon = True outcome variable and generate the story.
B - Filter to only look at isWon = True records to avoid skewing the results.
C - Click Create Story and Einstein will take care of the rest.
D - Change the grain by removing the line level detail as it will skew the win rate.
C
The edgemart transformation gives the dataflow access to an existing, registered dataset that can contain Salesforce data, external data, or a combination of both.
Where is an edgemart transformation specified?
A - Dataflow Editor
B - Recipes Editor
C - Step Editor
D - Settings
A
An Einstein Analytics team plans to enable data sync (replication).
Which two limits are specific to data sync (replication) and should be considered before enabling the feature because they might impact existing jobs?
Choose 2 answers
A - Maximum number of dataflow definitions
B - Maximum number of dataflow transformations
C - Maximum number of objects that can be enabled for data sync (replication)
D - Timeout for ELT (Extract Load Transform) jobs that are scheduled but not yet executed
A, C
An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?
A - Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
B - Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
C - Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
D - Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
C
An Einstein Analytics consultant has been asked to refactor a dashboard so that it loads more quickly. After some analysis, the consultant found that most of the dashboard steps run in less than five seconds; however, the Opportunities Table takes 30 seconds to run.
How can the consultant improve the performance of this dashboard?
A - Create a second page on the dashboard and move the table to this new page.
B - Create a link to download the list of opportunities as an Excel file.
C - Create a Visualforce page and display a list view of the opportunities on this new page.
D - Create a second dashboard and move the table to this new dashboard.
A
A list widget is added to a dashboard with existing charts and tables. What must be true for the list widget to facet the dashboard charts and tables using widget properties?
A - The list, chart, and table steps must share a common name.
B - The list, chart, and table steps must share common dimensions from different datasets.
C - The list, chart, and table steps must share the same dataset.
D - Chart and table steps must have their own list widgets.
C
A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?
A - This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
B - Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
C - Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
D - Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
D
What are two benefits of designing using the ‘Progressive Disclosure’ principle? Choose 2 answers
A - Improved ease of use for end users
B - Discounted EA licenses when growth is achieved
C - Automatic conditional formatting
D - Better dashboard performance
A, D
The Universal Containers company plans to upload target data from an external tool to Einstein Analytics so they can calculate the Sales team target attainments.
The target data changes every month, so the datasets need to be updated on a monthly basis. The target data is a CSV file that contains the Salesforce ID of the sales representative, the target amount, and the month of the target. For each sales representative, the file contains a target for every month of the current year as well as all previous years.
Based on this information, which operation should a consultant use with the Analytics External Data API to upload the file?
A - Update
B - Append
C - Overwrite
D - Upsert
C
A large company is rolling out Einstein Analytics to their field sales. They have a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy.
An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be able to view opportunities for everyone who rolls up in that hierarchy.
The opportunity dataset has a field called ‘Ownerld’ which represents the opportunity owner.
Given this information, how can an Einstein Consultant implement the above requirements?
A - As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called ‘ParentRolelDs’ on the
opportunity dataset and apply following security predicate: ‘ParentRolelDs’ == ‘$User.UserRoleId’ && ‘Ownerld’ == ‘SUser.Id’.
B - As part of the dataflow, use computeExpression on the Roleld field to create an attribute called ‘ParentRolelDs’ on the opportunity
dataset and apply following security predicate: ‘ParentRolelDs’ == ‘$User.UserRoleId’ || ‘Ownerld’ == ‘$User.Id’.
C - As part of the dataflow, use computeRelative on the Roleld field to create an attribute called ‘ParentRolelDs’ on the opportunity
dataset and apply following security predicate: ‘ParentRolelDs’ == ‘$User.UserRoleId’ || ‘Ownerld’ == ‘$User.Id’.
D - As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called ‘ParentRolelDs’ on the
opportunity dataset and apply following security predicate: ‘ParentRolelDs’ == ‘$User.UserRoleId’ || TeamMember.Id’ == ‘$User. Id’ || ‘Ownerld’ == ‘SUser.Id’.
D
A small Business Intelligence team is overwhelmed with multiple requests to create new dashboards. An option is to use layout templates to help with dashboard development.
What are two advantages of using layout templates? Choose 2 answers
A - Layout templates are equipped with design best practice, such as optimally positioned KPIs and filters
B - Layout templates are fast to create because they are fixed and read-only
C - Layout templates offer a consistent end user experience
D - Layout templates offer a universal layout thus reducing the hours spent on design
C, D
A consultant built an Einstein Analytics dashboard for a shipping company. The dashboard displays data from several data sources- The consultant enabled data sync (replication) to increase the speed of data refreshing from these sources.
What is the maximum number of dataflow definitions available in this situation?
A - 45
B - 35
C - 25
D - 30
D
A company’s Salesforce org has multi-currency enabled. This company’s business intelligence team used Einstein Analytics to build a dataflow that creates a dataset, ‘OpportunityDataSet’. This dataset is populated with data extracted from the standard object, Opportunity. One of the extracted fields is the standard field, Amount.
If a user explores the ‘OpportunityDataSet’ in Einstein Analytics, in which currency will the Amount values be shown?
A - In the connected user’s currency
B - In the integration user’s currency
C - In the currency that is set on the ‘currency’ attribute in the dataset
D - In the currency that is set on the ‘currency’ attribute in the dataflow
B
The Einstein Analytics Plus Platform license is enabled for a Salesforce org and assigned to each user. However, these users cannot see the Einstein Analytics Studio in the App Launcher.
How can this issue be addressed?
A - Share the app with the users in Einstein Analytics.
B - Create user accounts for the users in Einstein Analytics.
C - Assign the users to the permission set containing Use Analytics.
D - Assign the users to the permission set containing Manage Analytics.
C
A customer wants to change the default blue color on a bar chart. What is the easiest way to change blue to another color?
A - Use conditional formatting under the bar chart widget properties by selecting the dimension.
B. Use conditional formatting under the bar chart widget properties by selecting the measure.
C - Use bindings to specify a color per bar.
D - Create a compare table formula to specify a hidden metric for coloring purposes.
B
Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?
A - Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width.
B - Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type.
C - Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device.
D- Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.
D
The Universal Containers company used Einstein Analytics to create two datasets:
Dataset A: contains a list of activities with an ‘activitylD’ dimension and a ‘userlD’ dimension
Dataset B: contains a list of users with a ‘userlD’ dimension
The team wants to delete from Dataset A all activities related to users in Dataset B.
How can an Einstein Consultant help them achieve this?
A - Use the dataflow transformation ‘delete’ and set ‘userlD’ as the deletion ID.
B - Use a combination of dataflow transformations: ‘augment’ and ‘filter.’
C - Use an external ETL tool to extract both datasets and delete records.
D - Use the recipe operation ‘delete’ and set ‘userlD’ as the deletion ID.
B
A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.
Which two actions must be performed when writing the SAQL query?
Choose 2 answers
A - Determine if the timeseries required parameter, prediction interval, should be 80 or 95.
B - Investigate which prediction model is best for the data available.
C - Validate that there is enough data in the dataset to make a good prediction.
D - Include the fill SAQL statement to fill any missing dates.
C, D
A consultant wants to optimize data loads by extracting Salesforce objects using independent Einstein Analytics dataflows ahead of time. Which construct should be used to accomplish this?
A - Augment
B - Dataflow
C - Clone
D - Data Sync (Replication)
A
Universal Containers has a Sales Manager dashboard- They have a compare table that displays the count of Customers and the Sum of Annual Revenue per year and per Account type. A consultant is asked to add more groupings to enhance details about their customers.
What is the maximum number of grouping columns that the consultant must be aware of in order to continue using a compare table versus creating the query using SAQL?
A - 8
B - 4
C - unlimited
D - 10
B
In an org, some of the Activity records do not have related Opportunity records. Additionally, there are Opportunity records that do not have related Activity records.
Which SAQL statement will fetch all Opportunities, even if they don’t have associated Activities, and fetch related Activity data, if it exists?
A - q = cogroup Opportunity by ‘Id’, Activities by ‘Opportunityld’;
B - q = cogroup Opportunity by ‘Id’, Activities by ‘Opportunityld’ left;
C - q = cogroup Opportunity by ‘Id’ right, Activities by ‘Opportunityld’;
D - q = cogroup Opportunity by ‘Id’ left, Activities by ‘Opportunityld’;
D
What are two core design principles to consider when building Analytics apps or dashboards? Choose 2 answers
A - Emphasis: make sure they have space for important information, such as headlines and key charts.
B - Clarity: make sure they are uncluttered and easy to interpret.
C - Consistency: make sure they have a sense of familiarity to strengthen your users’ ease of use.
D - Balance: make sure they have a balance of different charts to get a more interesting design.
B, C
Refer to the graphic (Question 180)
Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?
A - Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.
B - Cancel this story and redefine the dataset.
C - Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.
D - Do nothing; they appear to be similar, but there might be differences from the business perspective.
D
In Einstein Analytics, which node is used in a dataflow to extract data from a registered dataset?
A - sfdcDigest
B - digest
C - export
D - edgemart
D
A company created a dataset called myExternalDataset. It contains a dimension, called UserRegion, that is populated by the standard User object’s picklist: Region.
The company has security requirements for this dataset:
- Only a subset of users should be able to access the dataset.
- Users who can access the dataset should see only data that belongs to their region.
In which two ways can an Einstein Analytics consultant help them implement these requirements? Choose 2 answers
A - Save the dataset under ‘My Private App’ so only a subset of selected users can access the dataset.
B - Use a security predicate in the dataset so users can see only rows belonging to their respective regions.
C - Create a sharing rule in Salesforce based on the Region field in the user object and set the dataset to inherit sharing from Salesforce.
D - Save the dataset under a new application and give ‘viewer’ access to a public group containing the list of users allowed to see the dataset.
B, D
An Einstein Analytics team created a funnel chart to show the number of opportunities in each stage. The managers who use the chart report that the funnel shows stages in alphabetical order instead of sales cycle order.
In which two ways can a consultant help them address this issue? Choose 2 answers
A - Use a dataflow to rename the stages with a preceding number.
B - Use a dashboard JSON to rename stages.
C - Use a dataflow to sort the stages by their internal name.
D - Use a dataset XMD to rename stages.
A, D
A consultant built a very useful Einstein Analytics app for Sales Operations and they want to share its contents with the rest of Global Sales. However, they do not want to add everyone in Sales to their app. The consultant recommends extending the Sales Operations app and distributing it as an Einstein Analytics template app, but needs to locate specific information to get started.
What is the REST API URL where the consultant can find current template apps?
A - /services/data/v##.#/wave/apps
B - /services/data/v##.#/analytics/wizard
C - /services/data/v##.#/wave/templates
D - /services/data/v##.#/analytics/projects
B
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic. (Question 185)
Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers
A - Use selection binding in the filters section of the step ‘Step_pie_1.’
B - Enable the option ‘Apply filters from faceting’ in the step ‘Region_1.’
C - Enable the option ‘Apply filters from faceting’ in the step ‘Step_pie_1.’
D - Use selection binding in the filters section of the step ‘Region_1.’
A, C
A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build.
Which two design considerations should be determined at this time? Choose 2 answers
A - Which fonts to use for headers and body text
B - Which charts to use to best support the defined goal
C - How many charts should be allowed on a single dashboard
D - Which colors to use and how to use them
B, D
A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.
How can a dataflow be used to calculate the average time an opportunity spends in each stage?
A - computeExpression Transformation with SAQL Expression to calculate the duration
B - flatten Transformation with Offset Expressions to calculate the duration
C - computeRelative Transformation with offset parameter to calculate the duration
D - computeRelative Transformation with SAQL Expression to calculate the duration
D
A consultant built an Einstein Analytics dashboard for a company. The company then requested an enhancement to the dashboard and provided additional data that needs to be displayed. As a result, the consultant decides to ‘augment’ the dataflow.
Which phrase describes this transformation?
A - Add data based on the right-side grain
B - Join data similar to an SQL statement
C - Add data as a lookup relationship (left side is the lowest grain)
D - Join data based on a many-to-many relationship
C
A large company has a single dataset that contains the attainment and commission fields for all sales reps. Each sales rep should be able to view the attainment data for each rep in their division. Each rep should only be able to see their own commission data.
Which option should be used to enforce this requirement?
A - Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance.
B - Apply a security predicate on the existing single dataset.
C - Use sharing inheritance.
D - Add the sales organization to the attainment dataset access list.
A
Refer to the graphic. (Question 190)
Which conclusion can be made regarding the strength of the model shown?
A - The model is very strong. A GINI coefficient of .535 shows that this model is very effective.
B - The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.
C - The strength of the model cannot be determined with the metrics shown.
D - The model is very weak and doesn’t provide useful predictions due to the low threshold.
D
An insurance company has many Einstein Analytics dashboards that show the influence of weather, such as atmospheric temperature, on customer cases. A service agent commented that it is sometimes difficult to determine, by looking at a dashboard, whether the temperature data is reported in degrees Fahrenheit or in degrees Celsius.
How can a dashboard designer ensure the temperature data is easier to interpret on the dashboards?
A - Add a text widget to the dashboard to indicate Fahrenheit or Celsius.
B - Use the XMD node in the dataflow to customize the number format of the field.
C - Customize the number format in the number widget properties of the dashboard.
D - In Explorer, go to the Fields menu and then customize the number format of the measure.
A
Which chart type is suitable for rendering five measures in a lens visualization?
A - Treemap chart
B - Scatter chart
C - Metric Radar chart
D - Stacked Bar chart
D
A consultant built a very useful Einstein Analytics app for Sales Operations, and they want to share its contents with the rest of Global Sales. However, they do not want to add everyone in Sales to their app. The consultant recommends extending the Sales Operations app and distributing it as an Einstein Analytics template app, but needs to locate specific information to get started.
{
“folderSource” : { : “Sales Operations ID”}
}
Given the code statement above, which endpoint should it be posted to?
A - /services/data/v . /wave/apps
B - /services/data/v . /analytics/wizard
C - /services/data/v . /wave/templates
D - /services/data/v . /analytics/projects
C
An Einstein consultant created a dashboard that went through review. Some few charts were added and removed in the process. The dashboard is now approved for production.
Which best practice should be done before releasing the dashboard?
A - Modify the XMD so all labels and values are user-friendly.
B - Rename all the steps to correspond with the defined naming convention.
C - Remove the redundant steps to ensure dashboard performance.
D - Apply conditional formatting on the new charts.
C
A company wants to allow users who belong to an account team to see all the Opportunities associated with that Account in Einstein Analytics.
Which two actions accomplish this requirement? Choose 2 answers
A - Apply sharing inheritance.
B - Create a master-detail relationship between the Salesforce Account and Opportunity objects.
C - In the dataflow, extract the AccountTeamMember object and augment it with the Opportunity object using ‘Accountld’ as the join
field and apply following security predicate: ‘AccountTeamMember.Userld’ == ‘$User.Id’.
D - In the dataflow, extract the OpportunityTeamMember object and augment it with the Opportunity object using ‘Opportunityld’ as
the join field and apply the following security predicate: ‘OpportunityTeamMember.Userld’ == ‘$User.Id’.
A, C
An Einstein Consultant receives a new project from a client that wants to implement Einstein Analytics. They do not currently have Einstein Analytics, but want guidance around how to ensure that their users have correct access.
They have 1000 users with a small team of three people who will build datasets and dashboards. An additional 15 people should be able to create dashboards. The remaining users should only be able to view dashboards.
Which recommendation should the consultant give the client?
A - Create and assign Salesforce permission sets according to the three types of roles defined.
B - Assign the app permissions ‘viewer/’ ‘editor,’ and ‘manager’ to the three types of roles defined.
C - Create and assign three new Salesforce profiles according to the three types of roles defined.
D - Assign ‘Einstein Analytics Explorer’ licenses to users that should only view the dashboard, and assign ‘Einstein Analytics Developer’ licenses to users that should be able to create datasets and dashboards.
A
A consultant created an Einstein Analytics dashboard in a sandbox. Now, the dashboard needs to be migrated into production.
To complete the migration, what are the consultant’s three options? Choose 3 answers
A - Ant Migration Tool B - Analytics External Data API C - Analytics REST API D - Change sets E - Analytics dashboard connector
A, C, D
An Einstein Analytics consultant is asked to add a new SalesTax field to a Product Sales dataset. The formula to calculate SalesTax is (SubTotal’CountyTax).
Which node should the consultant use in a Dataflow to calculate and insert SalesTax to the dataset?
A - append
B - computeExpression
C - augment
D - computeRelative
B
The Universal Containers Einstein Analytics team built a dashboard with two widgets:
- List widget associated to the step ‘Type_2’ and grouped by the dimension ‘Type’ (multi-selection)
- Pie chart widget associated to the step ‘Step_pie_3’ and grouped by the dimension ‘Type’
The team wants to use bindings so any selection in the List widget will filter the Pie chart.
Additional notes:
- The steps use different datasets.
- Users should be able to choose more than one Type (multi-selection).
What is the right syntax for the binding? (Question 199)
C
An Einstein Consultant receives a request from the Marketing department to help them understand lead conversion. Presently, they are unaware of the percentage of leads that get converted to sales. They hope to view results by account manager, value, and quarter. The data is there, so the consultant can add it to the marketing dashboard.
How should this metric be calculated?
A - Create a new step in the dashboard using a compare table and define a formula.
B - Create a formula field on the lead object in Salesforce and add it to the dataset.
C - Create a computeExpression in the dataflow.
D - Create a new step in the dashboard using a compare table and the running total function.
C
An Einstein Consultant needs to add some data values to an existing dataflow: a text field, a number (via a case statement), and a date (via SAQL).
In order to achieve this, which compute option should be used?
A - computeExpression
B - computeData
C - computeValue
D - computeField
A
An Einstein Analytics team wants to create a dashboard that displays values from an external, on-premise Oracle database.
What are two options to load the data from the Oracle database into Einstein Analytics? Choose 2 answers
A - Use the Salesforce SOAP interface.
B - Use the Analytics External Data API.
C - Use Oracle database connector.
D - Load the data as a CSV file.
B, C
The Universal Containers company thinks it knows everything about its business. However, Einstein Discovery surfaces an unexpected pattern that is concerning. They call in departmental experts and hold a meeting to discuss next steps with an Einstein Consultant.
What should the consultant advise as the next action?
A - Consult a Data Scientist for further analysis.
B - Determine if the pattern is a data issue or a new insight.
C - Filter out the data that causes the unexpected pattern and analyze the new results.
D - Accept the new pattern and have confidence that Einstein knows the business as accurately as the customer.
D
Which widget property allows a consultant to restrict the view to a domain bounded by the values entered?
A - Add Custom Domain
B - Filter by Range
C - Add Custom Range
D - Add Filter
A
Which dataflow transformation does data sync (replication) reference, in an existing dataflow, to determine which Salesforce objects and fields are currently being extracted?
A - edgemart
B - sfdcRegister
C - export
D - sfdcDigest
D
A customer displays a lot of data and wants a way to dynamically emphasize certain values on a bar chart in order to properly grab the user’s attention.
What can an Einstein Consultant use to accomplish this task?
A - Customize tooltip
B - Chart Markers
C - XMD
D - Compare Table
B
A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
What can the consultant do to give the Sales team more choices and options with future apps that are generated from the Sales Operations app?
A - Update contents in the Sales Operations app and changes will be pushed down to its generated apps.
B - Ensure the Sales team has the necessary permissions to customize their apps.
C - Create a configuration wizard for the app.
D - Update contents in the Sales Operations app and create new template versions of the app.
C
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
What solution should be recommended?
A - Create two custom apps: one for marketing dashboards with marketing as ‘viewer’ and one for sales dashboards with sales as
‘viewer.’ Add the datasets as references to both custom apps.
B - Create three custom apps: one for marketing dashboards with marketing as ‘viewer,’ one for sales dashboards with sales as
‘viewer,’ and one for datasets where marketing and sales are ‘viewer.’
C - Create one custom app for the datasets and share it with marketing and sales as ‘viewer.’
D - Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as ‘editor’ and one for sales dashboards and datasets with sales as ‘editor.’
B
What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?
A - Remind them that the technology is only as good as the data.
B - Advise them that the use case may not be accurate.
C - Highlight that Einstein reduces time to insight, which is much faster than learning from experience.
D - Recommend using a visualization tool, like Einstein Analytics, to uncover the details.
A
A consultant is asked to configure a user to view a dashboard, within a designated app, without the ability to create and save lenses. After adding the user to the app, which action should the consultant take to implement this requirement?
A - Assign the Editor role to the user.
B - Assign the Viewer role to the user.
C - Ensure the user has the Use Analytics permission.
D - Assign the Manager role to the user.
C
Which set of statements generates monthly amount on a cumulative basis annually? (Question 211)
D
After loading data to Einstein Discovery and creating a story, the client asks the Einstein Consultant to explain the ‘Unexplained Bar’ in the ‘Why it Happened’ chart.
Which explanation is correct?
A - It should always be 0 or the model should not be used.
B - It shows the difference between the predicted outcome and the observed outcome.
C - It displays the difference between the analyzed data and the data not reviewed.
D - It only appears for outcomes that do not have an explanation.
B
