Questions 2 Flashcards

https://quizlet.com/911773926/salesforce-ai-associate-flash-cards/

1
Q

Which type of bias imposes a
system’s values on others?
A. Association
B. Automation
C. Societal

A

Societal

En otro dice Automation

TODO: Buscar respuesta correcta

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2
Q

A sales manager wants to improve their
processes using Al in Salesforce.Which
application of Al would be most
beneficial?
A. Lead scoring and opportunity
forecasting
B. Data modeling and management
C. Sales dashboards and reporting

A

Data modeling and management

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3
Q

What is the most likely impact that high
quality data Will have on customer
relationships?
A. Improved customer trust and
satisfaction
B. Increased brand loyalty
C. Higher customer acquisition costs

A

Improved customer trust and
satisfaction

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4
Q

What are the key components of the data
quality standard?
A. Accuracy, Completeness, Consistency
B. Reviewing, Updating, Archiving
C. Naming, Formatting, Monitoring

A

Accuracy, Completeness, Consistency

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5
Q

What is an implication of user consent in
regard to Al data privacy?
A. Al ensures complete data privacy by
automatically obtaining User consent.
B. Al infringes on privacy when User
consent is not obtained.
C. Al operates Independently of user
privacy and consent

A

Al infringes on privacy when User
consent is not obtained.

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6
Q

Cloud Kicks wants to optimize its
business operations by incorporating Al
into its CRM. What should the company
do first to prepare its data for Use with
A. Remove biased data.
B. Determine data availability.
C. Determine data outcomes.

A

Determine data availability.

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7
Q

Which action should be taken to develop
and implement trusted generated Al with
Salesforce’s safety guideline in mind?
A. Develop right-sized models to reduce
our carbon footprint.
B. Create guardrails that mitigates toxicity
and protect PII
C. Be transparent when Al has created
and automatically delivered content.

A

Create guardrails that mitigates toxicity
and protect PII

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8
Q

What should organizations do to ensure
data quality for their Al initiatives?
A. Collect and curate high-quality data
from reliable sources.
B. Rely on Al algorithms to automatically
handle data quality issues.
C. Prioritize model fine-tuning over data
quality improvements.

A

Collect and curate high-quality data
from reliable sources.

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9
Q

How does Al which CRM help sales
representatives better understand
previous customer interactions?
A. Creates, localizes, and translates
product descriptions
B. Triggers personalized service replies
C. Provides call summaries

A

Provides call summaries

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10
Q

Cloud kicks wants to decrease the
workload for its customer care agents by
implementing a chatbot on its website
that partially deflects incoming cases by
answering frequency asked questions.
Which field of Al is most suitable for this
scenario?
A. Natural language processing
B. Computer vision
C. Predictive analytics

A

Natural language processing

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11
Q

Which best describes the different between
predictive Al and generative Al?
A. Predictive new and original OUtPUt for a
given input.
B. Predictive Al and generative have the
same capabilities differ in the type of input
they receive: predictive Al receives raw data
whereas generation Al receives natural
language.
C. Predictive Al Uses machine learning to
classes or predict output from its input data
whereas generative Al does not Use
machine learning to generate its output

A

Predictive Al Uses machine learning to
classes or predict output from its input data
whereas generative Al does not Use
machine learning to generate its output

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12
Q

Which features of Einstein enhance sales
efficiency and effectiveness?
A. Opportunity List View, Lead List View,
Account List view
B. Opportunity Scoring, Opportunity List
View, Opportunity Dashboard
C. Opportunity Scoring, Lead Scoring,
Account Insights

A

Opportunity Scoring, Lead Scoring,
Account Insights

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13
Q

A financial institution plans a campaign
for preapproved credit cards?
How should they implement Salesforce’s
Trusted Al Principle of Transparency?
A. Communicate how risk factors such as
credit score can impact customer
eligibility.
B. Flag sensitive variables and their
proxies to prevent discriminatory lending
practices.
C. Incorporate customer feedback into
the model’s continuous training.

A

Flag sensitive variables and their
proxies to prevent discriminatory lending
practices.

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14
Q

To avoid introducing unintended bias to
an Al model, which type of data should
be omitted?
A. Transactional
B. Engagement
C. Demographic

A

Demographic

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15
Q

A business analyst (BA) wants to improve
business by enhancing their sales
processes and customer support.
Which Al application should the BA Use
to meet their needs?
A. Sales data cleansing and customer
support data governance
B. Machine learning models and chatbot
predictions
C. Lead scoring, opportunity forecasting,
and case classification

A

Lead scoring, opportunity forecasting,
and case classification

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16
Q

Cloud Kicks wants to ensure that multiple
records for the same customer are
removed in Salesforce.
Which feature should be used to
accomplish this?
A. Duplicate management
B. Trigger deletion of old records
C. Standardized field names

A

Duplicate management

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17
Q

Which Einstein capability Uses emails to create content for Knowledge articles?
A. Generate
B. Discover
C. Predict

A

Generate

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18
Q

Cloud Kicks Uses Einstein to generate
predictions out is not seeing accurate
results? What to a potential mason for
this?
A. Poor data quality
B. The wrong product
C. Too much data

A

Poor data quality

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19
Q

Which data does Salesforce
automatically exclude from Marketing
Cloud Einstein engagement model
training to mitigate bias and ethical risks?
A. Cryptographic
B. Geographic
C. Demographic

A

Demographic

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20
Q

What is a potential outcome of USing
poor-quality data in Al application?
Options:
A. Al model training becomes slower and
less efficient
B. Al models may produce biased or
erroneous results.
C. Al models become more interpretable

A

Al models may produce biased or
erroneous results.

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21
Q

Cloud Kicks learns of complaints from
customers who are receiving too many
sales calls and emails.
Which data quality dimension should be
assessed to reduce these communication
Inefficiencies?
A. Duplication
B. Usage
C. Consent

A

TODO: Buscar respuesta correcta

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22
Q

What is a benefit of a diverse, balanced,
and large dataset?
A. Training time
B. Data privacy
C. Model accuracy

A

Model accuracy

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23
Q

What are the three commonly Used
examples of Al in CRM?
A. Predictive scoring, reporting, Image
classification
B. Predictive scoring, forecasting,
recommendations
C. Einstein Bots, face recognition,
recommendations

A

Predictive scoring, forecasting,
recommendations

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24
Q

A healthcare company implements an
algorithm to analyze patient data and
assist in medical diagnosis.Which primary
role does data Quality play In this Al
application?
A. Enhanced accuracy and reliability of
medical predictions and diagnoses
B. Ensured compatibility of Al algorithms
with the system’s Infrastructure
C. Reduced need for healthcare
expertise in interpreting Al OUtOUtS

A

Enhanced accuracy and reliability of
medical predictions and diagnoses

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25
What are some of the ethical challenges associated with Al development? A. Potential for human bias in machine learning algorithms and the lack of transparency in Al decision-making processes B. Implicit transparency of Al systems, which makes lt easy for Users to understand and trust their decisions C. Inherent neutrality of Al systems, which eliminates any potential for human bias in decision- making
Potential for human bias in machine learning algorithms and the lack of transparency in Al decision-making processes
26
Cloud Kicks discovered multiple variations of state and country values in contact records. Which data quality dimension is affected by this issue? A. Usage B. Accuracy C. Consistency
Consistency
27
How is natural language processing (NLP) used in the context of Al capabilities? A. To cleanse and prepare data for Al implementations B. To interpret and understand programming language C. To understand and generate human language
To understand and generate human language
28
What is an example of Salesforce's Trusted Al Principle of Inclusivity in practice? A. Testing models with diverse datasets B. Striving for model explain ability C. Working with human rights experts
Testing models with diverse datasets
29
Cloud Kicks wants to create a custom service analytics application to analyze cases in Salesforce. The application should rely on accurate data to ensure efficient case resolution.Which data quality dimension Is essential for this custom application? A. Consistency B. Duplication C. Age
Consistency
30
Which type of bias results from data being labeled according to stereotypes? A. Association B. Societal C. Interaction
Societal
31
Salesforce defines bias as USing a person's Immutable traits to classify them or market to them. Which potentially sensitive attribute is an example of an immutable trait? A. Financial status B. Nickname C. Email address
Financial status
32
Cloud Kicks relies on data analysis to optimize its product recommendation; however, CK encounters a recurring Issue of Incomplete customer records, with missing contact Information and incomplete purchase histories.How Will this incomplete data quality impact the company's operations? A. The accuracy of product recommendations is hindered. B. The diversity of product recommendations Is Improved. C. The response time for product recommendations is stalled.
The accuracy of product recommendations is hindered.
33
What are some key benefits of Al in improving customer experiences in CRM? A. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats B. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions C. Fully automates the customer service experience, ensuring seamless automated interactions with customers
Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions
34
How does an organization benefit from USing Al to personalize the shopping experience of online customers? A. Customers are more likely to share personal information with a site that personalizes their experience. B. Customers are more likely to be satisfied with their shopping experience. C. Customers are more likely to visit competitor sites that personalize their experience.
Customers are more likely to be satisfied with their shopping experience.
35
Cloud Kicks is testing a new Al model. Which approach aligns with Salesforce's Trusted Al Principle of Inclusivity? A. Test only with data from a specific region or demographic to limit the risk of data Ieaks. B. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model. C. Test with diverse and representative datasets appropriate for how the model will be used.
Test with diverse and representative datasets appropriate for how the model will be used.
36
Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region Use a text field to capture the product category, while employees from all other locations Use a pickllst. Which data quality dimension is affected in this scenario? A. Completeness B. Accuracy C. Consistency
Consistency
37
Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history. Which type of bias is most likely to be encountered in this scenario? A. Confirmation B. Survivorship C. Societal
Confirmation
38
What is the main fOCUS of the Accountability principle in Salesforce's Trusted Al Principles? A. Safeguarding fundamental human rights and protecting sensitive data B. Taking responsibility for one's actions toward customers, partners, and society C. Ensuring transparency In Al-driven recommendations and predictions
TODO: Buscar principios y accountabilitu principle Taking responsibility for one's actions toward customers, partners, and society
39
What is a sensitive variable that can lead to bias? A. Education level B. Country C. Gender
Gender
40
A marketing manager wants to Use Al to better engage their customers. Which functionality provides the best solution? A. Journey Optimization B. Bring Your Own Model C. Einstein Engagement
Einstein Engagement
41
A Salesforce administrator creates a new field to capture an order's destination country. Which field type should they Use to ensure data quality? A. Text B. Picklist C. Number
Picklist
42
A customer using Einstein Prediction Builder is confused about why a certain prediction was made. Following Salesforce's Trusted Al Principle of Transparency, which customer information should be accessible on the Salesforce Platform? A. An explanation of how Prediction Builder works and a link to Salesforce's Trusted Al Principles B. An explanation of the prediction's rationale and a model card that describes how the model was created C. A marketing article of the product that clearly outlines the product's capabilities and features
An explanation of the prediction's rationale and a model card that describes how the model was created
43
How does the "right of least privilege" reduce the risk of handling sensitive personal data? A. By limiting how many people have access to data B. By reducing how many attributes are collected C. By applying data retention policies
By limiting how many people have access to data
44
What is the best method to safeguard customer data privacy? A. Automatically anonymize all customer data. B. Track customer data consent preferences. C. Archive customer data on a recurring schedule.
Track customer data consent preferences.
45
What is the key difference between generative and predictive Al? A. Generative Al creates new content based on existing data and predictive Al analyzes existing data. B. Generative Al finds content similar to existing data and predictive Al analyzes existing data. C. Generative Al analyzes existing data and predictive Al creates new content based on existing data.
Generative Al creates new content based on existing data and predictive Al analyzes existing data.
46
What is a key benefit of effective interaction between humans and Al systems? A. Leads to more informed and balanced decision making B. Alerts humans to the presence of biased data C. Reduces the need for human involvement
Leads to more informed and balanced decision making
47
What is a key characteristic of machine learning in the context of Al capabilities? A. Uses algorithms to learn from data and make decisions B. Relies on preprogrammed roles to make decisions C. Can perfectly mimic human intelligence and decision-making
Uses algorithms to learn from data and make decisions
48
Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce. Which feature should be Used to accomplish this? A. Duplicate management B. Trigger deletion of old records C. Standardized field names
Duplicate management
49
An administrator at C10Ud Kicks wants to ensure that a field is set UP on the customer record so their preferred name can be captured. Which Salesforce field type should the administrator use to accomplish this? A. Multi-Select Picklist B. Text C. Rich Text Area
Text
50
How does data quality impact the trustworthiness of Al-driven decisions? A. The Use of both Iow-quality and high- quality data can improve the accuracy and reliability of Al-driven decisions. B. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among Users. C. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.
High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among Users.
51
A developer is tasked with selecting a suitable dataset for training an Al model in Salesforce to accurately predict current customer behavior. What Is a crucial factor that the developer should consider during selection? A. Number of variables in the dataset B. Size of the dataset C. Age of the dataset
Size of the dataset
52
What is machine learning? A. Al that can grow its intelligence B. Al that creates new content C. A data model Used in Salesforce
TODO: Buscar respuesta correcta C ??? (Non A?)
53
A service leader wants Use Al to help customer resolve their issues quicker in a guided self-serve application. Which Einstein functionality provides the best solution? A. Case Classification B. Bots C. Recommendation
Bots
54
Why is it critical to consider privacy concerns when dealing with Al and CRM data? A. Ensures compliance with laws and regulations B. Confirms the data is accessible to all users C. Increases the volume of data collected
Ensures compliance with laws and regulations
55
What is a potential source of bias in training data for Al models? A. The data is collected in area time from sources systems. B. The data is skewed toward is particular demographic or source. C. Be transparent when Al has created and automatically delivered content.
The data is skewed toward is particular demographic or source.
56
In the context of Salesforce's Trusted Al Principles what does the principle of Empowerment primarily aim to achieve? A. Empower users to off all skill level to build Al application with clicks, not code. B. Empower Users to contribute to the growing body of knowledge of leading Al research. C. Empower Users to solve challenging technical problems USing neural networks.
Empower users to off all skill level to build Al application with clicks, not code.
57
Cloud Kicks wants to Use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a... How can data quality be assessed quality? A. BUild a Data Management Strategy. B. BUild reports to expire the data quality. C. Leverage data quality apps from AppExchange
Leverage data quality apps from AppExchange
58
What should be done to prevent bias from entering an Al system when training it? A. Use alternative assumptions. B. Import diverse training data. C. Include Proxy variables.
Import diverse training data.
59
What is a Key consideration regarding data quality in Al implementation? A. Techniques from customizing Al features in Salesforce B. Data's role in training and fine-tuning Salesforce Al models C. Integration process of Al models with Salesforce workflows
Data's role in training and fine-tuning
60
Cloud Kicks wants to use Al to enhance its sales processes and customer support. Which capacity should they Use? A. Dashboard of Current Leads and Cases B. Sales path and Automaton Case Escalations C. Einstein Lead Scoring and Case Classification
Einstein Lead Scoring and Case Classification
61
Which statement exemplifies Salesforces honesty guideline when training Al models? A. Minimize the Al models carbon footprint and environment impact during training. B. Ensure appropriate consent and transparency when using Al-generated responses. C. Control bias, toxicity, and harmful content with embedded guardrails and guidance.
Ensure appropriate consent and transparency when using Al-generated responses.
62
What Is a benefit of data quality and transparency as it pertains to bias in generated Al? A. Chances of bias and mitigated B. Chances of bias are aggravated C. Chances of bias are remove
Chances of bias and mitigated
63
A business analyst (BA) wants to improve business by enhancing their sales processes and customer.. Which Al application should the BA use to meet their needs? A. Sales data cleansing and customer support data governance B. Machine learning models and chatbot predictions C. Lead scoring, opportunity forecasting, and case classification
Lead scoring, opportunity forecasting, and case classification
64
A data quality expert at C10Ud Kicks want to ensure that each new contact contains at least an email address ...Which feature should they Use to accomplish this? A. Autofill B. Duplicate matching rule C. Validation rule
Validation rule
65
Cloud Kicks wants to use an Al mode to predict the demand for shoes USing historical data on sales and regional characteristics.What is an essential data quality dimension to achieve this goal? A. Reliability B. Volume C. Age
Reliability
66
A sales manager wants to improve their processes USing Al in Salesforce? Which application of Al would be most beneficial? A. Lead soring and opportunity forecasting B. Sales dashboards and reporting C. Data modeling and management
Lead soring and opportunity forecasting
67
What is the role of Salesforce Trust Al principles in the context of CRM system? A. Guiding ethical and responsible Use of AI B. Providing a framework for Al data model accuracy C. Outlining the technical specifications for Al integration
Guiding ethical and responsible Use of AI
68
What role does data quality play in the ethical us of Al applications? A. High-quality data is essential for ensuring unbased and for fair Al decisions, promoting ethical Use, and preventing discrimination B. High-quality data ensures the process of demographic attributes requires for personalized campaigns. C. Low-quality data reduces the risk of unintended bias as the data is not overfitted to demographic groups.
High-quality data is essential for ensuring unbased and for fair Al decisions, promoting ethical Use, and preventing discrimination
69
What can bias in Al algorithms in CRM lead to? A. Personalization and target marketing changes B. Advertising cost increases C. Ethical challenges in CRM systems
Ethical challenges in CRM systems
70
What is an example of ethical debt? A. Violating a data privacy law and falling to pay fines B. Launching an Al feature after discovering a harmful bias C. Delaying an Al product launch to retrain an Al data model
Launching an Al feature after discovering a harmful bias
71
A consultant conducts a series of Consequence Scanning workshops to support testing diverse datasets. Which Salesforce Trusted Al Principles is being practiced? A. Transparency B. Inclusivity C. Accountability
Inclusivity
72
What is the role of data quality in achieving Al business Objectives? A. Data quality is unnecessary because Al can work with all data types. B. Data quality is required to create accurate Al data insights. C. Data quality is important for maintain Al data storage limits
Data quality is required to create accurate Al data insights.
73
The Cloud technical team is assessing the effectiveness of their Al development processes? Which established Salesforce Ethical Maturity Model should the team Use to guide the development of trusted Al solution? A. Ethical Al Prediction Maturity Model B. Ethical Al Process Maturity Model C. Ethical Al practice Maturity Model
Ethical Al Process Maturity Model
74
How does a data quality assessment impact business outcome for companies using Al? A. Improves the speed of Al recommendations B. Accelerates the delivery of new Al solutions C. Provides a benchmark for Al predictions
Provides a benchmark for Al predictions
75
What is a key challenge of human Al collaboration in decision-making? A. Leads to move informed and balanced decision-making B. Creates a reliance on Al, potentially leading to less critical thinking and oversight C. Reduce the need for human involvement in decision-making processes
Creates a reliance on Al, potentially leading to less critical thinking and oversight
76
A system admin recognizes the need to put a data management strategy in place. What is a key component of data management strategy? A. Naming Convention B. Data Backup C. Color Coding
Data Backup