DA100 Questions Dump Flashcards
- You need to recommend a solution to ensure that users can select a value once to filter the results on all the pages. What are two possible recommendations to achieve this goal? Each correct answer presents a complete solution. NOTE: each correct selection is worth one point.
a. Replace the slicers with report-level filters
b. Sync the slicers across the pages.
c. Create a bookmark for each slicer value
d. Replace the slicers with page-level filters
e. Replace the slicers with visual-level filters.
Answer: AB
Explanation:
A: Add a report-level filter to filter an entire report.
B: You can sync a slicer and use it on any or all pages in a report.
- You need to create a reference line to show which employees are above the median salary. Solution: You create a constant line and set the value to .5. Does this meet the goal?
a. Yes
b. No
Answer: B.
Explanation: Instead create a percentile line by using the Salary measure and set the percentile to 50 %. Note: The 50th percentile is also known as the median or middle value where 50 percent of observations fall below.
- You need to create a visualization that compares revenue and cost over time. Which type of visualization should you use?
a. Stacked area chart
b. Donut chart
c. Line chart
d. Waterfall chart
Answer: C.
Explanation: A line chart or line graph displays the evolution of one or several numeric variables. Data points are connected by straight line segments. A line chart is often used to visualize a trend in data over intervals of time, “a time series”, this the line is often drawn chronologically.
- You have a collection of reports for the HR department of your company. You need to create a visualization for the HR department that shows a historic employee counts and predicts trends during the next six months. Which type of visualization should you use?
a. Key influences
b. Ribbon chart
c. Line chart
d. Scatter chart
Answer: C.
Explanation: The best data for forecasting is time series data or uniformly increasing whole numbers. The line chart has to have only one line. Try forecasting: Try the new forecasting capabilities of Power View today on your own data or with the sample report available as part of the Power BI report samples.
- You plan to have a menu page that will show all the business questions. You need to ensure that users can click each business question and be directed to the page where the question is answered. The solution must ensure that the menu page will work when deployed to any workspace. What should you include on the menu page?
a. Create a text box for each business question and insert a link.
b. Create a button for each business question and set the action type to Bookmark.
c. Create a Power Apps visual that contains a drop-down list. The drop-down list will contain the business questions.
Answer: B.
Explanation: Power BI enables data insights and better decision-making, while Power Apps enables everyone to build and use apps that connect to business data. Using the Power Apps visual, you can pass context-aware data to a canvas app, which updates in real time as you make changes to your report. Now, your app users can derive business insights and take actions from right within their Power BI reports and dashboards.
- You are developing a report page. Some users will navigate the report by using a keyboard, and some users will consume the report by using a screen reader. You need to ensure that the users can consume the content on a report page in a logical order. What should you configure in MS Power BI Desktop?
a. The tab order
b. The layer order
c. The bookmark order
d. The X position
Answer: A.
Explanation: If you find yourself unable to navigate to an object or visual while using a keyboard, it may be because the report author has decided to hide that object from the tab order. Report authors commonly hide decorative objects from the tab order. If you find that you cannot tab through a report in a logical manner, you should contact the report author. Report authors can set the tab order for objects and visuals.
- Your company has employees in 10 states. The company recently decided to associate each state to one of the following three regions: East, West, and North. You have a data model that contains employee information by state. The model does NOT include region information. You have a report that shows the employees by state. You need to view the employees by region as quickly as possible. What should you do?
a. Create a new aggregation that summarizes by employee.
b. Create a new group on the state column and set the Group type to List.
c. Create a new group on the state column and set the Group type to Bin.
d. Create a new aggregation that summarizes by state.
Answer: B.
Explanation: With grouping you are normally working with dimensional attributes. Here we add three new groups (East, West, and North) and add each state to the appropriate group.
- You need to create a calculated column to display the month based on the reporting requirements to present the month as “Feb 2020”. Which DAX expression should you use?
a. FORMAT(‘Date’[date], “MMM YYYY”)
b. FORMAT(‘Date’[date], “M YY”)
c. FORMAT(‘Date’[year], “#”)
d. FORMAT(‘Date’[date_id], “MMM YYYY”)
Answer: D.
Explanation: In the Date table, the date_id column has a format of yyyymmdd. Users must be able to see the month in reports as shown in the following example: Feb 2020.
- You have a custom connector that returns ID, From, To, Subject, Body, and Has Attachments for every email sent during the past year. More than 10 million records are returned. You build a report analyzing the internal networks of employees based on whom they send emails to. You need to prevent report recipients from reading the analyzed emails. The solution must minimize the model size. What should you do?
a. Implement row-level-security (RLS) so that the report recipients can only see results based on the emails they sent.
b. Remove the Subject and Body columns during the import.
c. From Model view, set the Subject and Body columns to Hidden.
Answer: B.
- You have the tables shown in the following table:
The Impressions table contains approximately 30 million records per month. You need to create an ad analytics system to meet the following requirements:
• Present ad impression counts for the day, campaign, and Site_name. The analytics for the last year are required.
• Minimize the data model size.
Which two actions should you perform?
a. Group the impressions by Ad_id, Site_name, and Impression_date. Aggregate by using the CountRows function.
b. Create one-to-many relationships between the tables.
c. Create a calculated measure that aggregates by using the COUNTROWS function.
d. Create a calculated table that contains Ad_id, Site_name, and Impression_date.
Answer: AB.
- Your company has training videos that are published to Microsoft Stream. You need to surface the videos directly in a Microsoft Power BI dashboard. Which type of tile should you add?
a. Video
b. Custom streaming data
c. Text box
d. Web content
Answer: B.
Explanation: The only way to visualize a streaming dataset is to add a tile and use the streaming dataset as a custom streaming data source.
- You open a query in Power Query Editor. You need to identify the percentage of empty values in each column as quickly as possible. Which Data Preview option should you select?
a. Show whitespace
b. Column profile
c. Column distribution
d. Column quality
Answer: D.
Explanation: Column Quality: In this section, we can easily see valid, Error, and Empty percentage of data values associated with the Selected table.
15. You have a prospective customer list that contains 1,500 rows of data. The list contains the following fields: o First name o Last name o Email address o State/Region o Phone number
You import the list into Power Query Editor. You need to ensure that the list contains records for each State/Region to which you want to target a marketing campaign. Which two actions should you perform?
a. Open the Advanced Editor
b. Select Column quality
c. Enable Column profiling based on entire dataset
d. Select Column distribution
e. Select Column profile
Answer: CE.
Explanation: Data Profiling, Quality & Distribution in Power BI/Power Query features. To enable these features, you need to go to the View tab > Data Preview Group. Check the following:
• Column quality
• Column profile
o Turn on the Column Profiling feature
• Column distribution
o Can use it to visually realize that your query is missing some data because of distinct and unique counts.
- DRAG DROP – You are building a dataset from a JSON file that contains an array of documents. You need to import attributes as columns from all the documents in the JSON file. The solution must ensure that date attributes can be used as date hierarchies in Power BI reports. Which three actions should you perform in sequence?
a. Expand the columns
b. Expand the records
c. Add columns that use data type conversions
d. Set the data types
e. Convert the list to a table
Answer: E, A, D
- You import two Microsoft Excel tables named Customer and Address into Power Query. Customer contains the following columns:
- Customer ID
- Customer name
- Phone
- Email address
- Address ID
Address contains the following columns: • Address ID • Address Line 1 • Address Line 2 • City • State/Region • Country • Postal Code
The Customer ID and Address ID columns represent unique rows. You need to create a query that has one row per customer. Each row must contain City, State/Region, and Country for each customer. What should you do?
A. Merge the Customer and Address tables
B. Transpose the Customer and Address tables
C. Group the Customer and Address tables by the Address ID column.
D. Append the Customer and Address tables.
Answer: A.
Explanation: There are two primary ways of combining queries: merging and appending. When you have one or more columns that you’d like to add to another query, you merge the queries. When you have additional rows of data that you’d like to add to an existing query, you append the query.
- You have the following three version of an Azure SQL database:
o Test
o Production
o Development
You have a dataset that uses the development database as a data source. You need to configure the dataset so that you can easily change the data source between the development, test, and production database servers from powerbi.com. Which should you do?
A. Create a JSON file that contains the database server names. Import the JSON file to the dataset.
B. Create a parameter and update the queries.
C. Create a query for each database server and hide the development tables.
D. Set the data source privacy level to Organizational and use the ReplaceValue Power Query M function.
Answer: B.
Explanation: With privacy level settings, you can specify an isolation level that defines the degree that one data source must be isolated from other data sources. An Organizational data source limits the visibility of a data source to a trusted group of people. An Organizational data source is isolated from all Public data sources, but is visible to other Organizational data sources.
- You have a CSV file that contains user complaints. The file contains a column named Logged. Logged contains the date and time each complaint occurred. The data in Logged is in the following format: 2018-12-31 at 08:59. You need to be able to analyze the complaints by the logged date and use a built-in date hierarchy. What should you do?
A. Change the data type of the Logged column to Date.
B. Apply the Parse function from the Date transformations options to the Logged column.
C. Create a column by example that starts with 2018-12-31 and set the data type of the new column to Date.
D. Apply a transform to extract the first 11 characters of the Logged column.
Answer: C.
Explanation: To use a built-in-date hierarchy, you need to set the data type of the new column to Date.
- You have an Azure SQL database that contains sales transactions. The database is updated frequently. You need to generate reports from the data to detect fraudulent transactions. The data must be visible within five minutes of an update. How should you configure the data connection?
A. Add a SQL statement
B. Set Data Connectivity mode to DirectQuery
C. Set the Command timeout in minutes setting.
D. Set Data Connectivity mode to Import.
Answer: B.
- You have a data model that contains many complex DAX expressions. The expressions contain frequent references to the RELATED and RELATEDTABLE functions. You need to recommend a solution to minimize the use of the RELATED and RELATEDTABLE functions. What should you recommend?
A. Split the model into multiple models.
B. Hide unused columns in the model
C. Merge tables by using Power Query.
D. Transpose.
Answer: C.
Explanation: Combining data means connecting to two or more data sources, shaping them as needed, then consolidating them into a useful query. When you have one or more columns that you’d like to add to another query, you merge the queries. **Note: The RELATEDTABLE function is a shortcut for CALCULATETABLE function with no logical expression. CALCULATETABLE evaluates a table expression in a modified filter context and returns a table of values.
- You have a large dataset that contains more than 1 million rows. The table has a datetime column named Date. You need to reduce the size of the data model. What should you do?
A. Round the hour of the Date column to startOfHour.
B. Change the data type of the Date column to Text.
C. Trim the Date column.
D. Split the Date column into two columns, one that contains only the time and another that contains only the date.
Answer: D.
- DRAG DROP – You are modeling data in a table named SalesDetail by using MS Power BI. You need to provide end users with access to the summary statistics about the SalesDetail data. The users require insights on the completeness of the data and the value distributions. Which three actions should you perform in sequence?
A. Specify the following query, then close and apply:
a. -Table.Distinct(#”SalesDetail”)
B. Create a visual for the query table.
C. Create a parameter that uses a query for the suggested values.
D. Create a query that uses Common Data Service as a data source.
E. Specify the following query, then close and apply.
a. -Table.Profile(“SalesDetail”).
F. Create a blank query as a data source.
Answer: F, E, B.
Explanation:
• Step 1:
Create a blank query as a data source. Start with a New Source in Power Query Editor, and then Blank Query. Create a parameter that uses a query for suggested values.
• Step 2:
Specify the following query, then close and apply: -Table.Profile(“#SalesDetail”). In the new blank query, in the formula bar, type the below expression:
o =Table.Profile()
Note that this code is not yet complete, we need to provide a table as the input of this function.
Note: The Table.Profile() function takes a value of type table and returns a table that displays, for each column in the original table, the min, max, avg, standard deviation, count of values, count of null values, and count of distinct values.
• Step 3:
Create a visual for the query table.
- You create the following step by using Power Query Editor:
Table.ReplaceValue(SalesLT_Address,”1318,”1319”),Replacer.ReplaceText,{“AddressLine1”}).
A row has a value of 21318 Lasalle Street in the AddressLine1 column. What will the value be when the step is applied?
A. 1318
B. 1319
C. 21318 Lasalle Street
D. 21319 Lasalle Street
Answer: D.
- You have a Microsoft Power BI report. The size of PBIX file is 550 MB. The report is accessed by using an App workspace in shared capacity of powerbi.com. The report uses an imported dataset that contains one fact table. The fact table contains 12 million rows. The dataset is scheduled to refresh twice a day at 08:00 and 17:00. The report is a single page that contains 15 AppSource visuals and 10 default visuals. Users say that the report is slow to load the visuals when they access and interact with the report. You need to recommend a solution to improve the performance of the report. What should you recommend?
A. Change any DAX measures to use iterator functions.
B. Replace the default visuals with AppSource visuals.
C. Change the imported dataset to DirectQuery.
D. Remove unused columns from tables in the data model.
Answer: C.
Explanation: Underlying data changes can require a refresh of data. For some reports, the need to display current data can require large data transfers, making reimporting data unfeasible. By contrast, DirectQuery reports always use current data. The 1-GB dataset limitation doesn’t apply to DirectQuery. Note: there are several versions of this question in the exam. The question can have other incorrect answer options such as:
• Implement RLS,
• Increase the number of times that the dataset is refreshed.
- You create a dashboard by using the Microsoft Power BI Service. The dashboard contains a card visual that shows total sales from the current year. You grant users access to the dashboard by using the Viewer role on the workspace. A user wants to receive daily notifications of the number shown on the card visual. You need to automate notifications. What should you do?
A. Create a data alert.
B. Share the dashboard to the user.
C. Create a subscription.
D. Tag the user in a comment.
Answer: C.
Explanation: You can subscribe yourself and your colleagues to the report pages, dashboards, and paginated reports that matter the most to you. Power BI e-mail subscriptions allow you to:
• Decide how often you want to receive the emails: daily, weekly, hourly, monthly, or once a day after the initial data refresh.
• Choose the time you want to receive the email, if you choose daily, weekly, hourly, or monthly.
• Note: Email subscriptions don’t support most custom visuals. The one exception is those custom visuals that have been certified. Email subscriptions don’t support R-powered custom visuals at this time.
- You are modeling data by using Microsoft Power BI. Part of the data model is a large Microsoft SQL Server table named Order that has more than 100 million records. During the development process, you need to import a sample of the data from the Order table. Solution: From Power Query Editor, you import the table and then add a filter step to the query. Does this meet the goal?
A. Yes
B. No
Answer: B.
Explanation: The filter is applied after the data is imported. Instead, add a WHERE clause to the SQL statement before importing the table.
- You create a parameter named DataSourceExcel that holds the file name and location of a Microsoft Excel data source. You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition. Solution: In the Power Query M code, you replace the references to the Excel file with DataSourceExcel. Does this meet the goal?
A. Yes
B. No
Answer: B.
Explanation: Instead, modify the source step of the queries to use DataSourceExcel as the file path.
- You create a parameter named DataSourceExcel that holds the file name and location of a Microsoft Excel data source. You need to update the query to reference the parameter instead of multiple hard-coded copies of the location within each query definition. Solution: You create a new query that references DataSourceExcel. Does this meet the goal?
A. Yes
B. No
Answer: B.
Explanation: Instead, modify the source step of the queries to use DataSourceExcel as the file path.
- You have four sales regions. Each region has multiple sales managers. You implement row-level-security (RLS) in a data model. You assign the relevant distribution lists to each role. You have sales reports that enable analysis by region. The sales managers are prevented from viewing records from other regions. A sales manager changes to a different region. You need to ensure that the sales manager can see the correct sales data. What should you do?
A. Change the Microsoft Power BI license type of the sales manager.
B. From Microsoft Power BI Desktop, edit the Row-Level Security settings for the reports.
C. Request that that the sales manager be added to the correct Azure Active Directory group.
D. Manage the permissions of the underlying dataset.
Answer: C.
Explanation:
Using AD Security Groups, you no longer need to maintain a long list of users. All that you will need to do is to put in the AD Security group with the required permissions and Power BI will do the rest.
**Note: Once published to Power BI, you must map members to dataset roles. Members can be user accounts or security groups. Whenever possible, we recommend you map security groups to dataset roles. It involves managing security group memberships in Azure Active Directory. Possibly, it delegates the task to your network administrators.
