Exam Prep 2

Question 1

Cloud Kicks wants to use Einstein Prediction Builder to determine a customer’s likelihood of buying specific products. How can data quality be assessed?

A. Build a Data Management Strategy.
B. Build reports to expire the data quality.
C. Leverage data quality apps from AppExchange

Answer 1

C. Leverage data quality apps from AppExchange

Question 2

Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM. What should the company do first to prepare its data for use with AI?

A. Remove biased data.
B. Determine data availability.
C. Determine data outcomes.

Answer 2

B. Determine data availability.

Question 3

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

Answer 3

A. Financial status

Question 4

Which action should be taken to develop and implement trusted generated AI 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 AI has created and automatically delivered content

Answer 4

B. Create guardrails that mitigates toxicity and protect PII

Question 5

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 AI is most suitable for this scenario?

A. Natural language processing
B. Computer vision
C. Predictive analytics

Answer 5

A. Natural language processing

Question 6

To avoid introducing unintended bias to an AI model, which type of data should be omitted?

A. Transactional
B. Engagement
C. Demographic

Answer 6

C. Demographic

Question 7

What is a benefit of a diverse, balanced, and large dataset?

A. Training time
B. Data privacy
C. Model accuracy

Answer 7

C. Model accuracy

Question 8

What is a key characteristic of machine learning in the context of AI capabilities?

A. Uses algorithms to learn from data and make decisions
B. Relies on preprogrammed rules to make decisions
C. Can perfectly mimic human intelligence and decision-making

Answer 8

A. Uses algorithms to learn from data and make decisions

Question 9

A sales manager is looking to enhance the quality of lead data in their CRM system.
Which process will most likely help the team accomplish this goal?

A. Redesign the lead conversion process,
B. Review and update missing lead information.
C. Prioritize active leads quarterly.

Answer 9

B. Review and update missing lead information.

Question 10

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

Answer 10

A. Consistency

Question 11

In the context of Salesforce’s Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

A. Empower users to off all skill level to build AI application with clicks, not code.
B. Empower users to contribute to the growing body of knowledge of leading AI research.
C. Empower users to solve challenging technical problems using neural networks.

Answer 11

A. Empower users to off all skill level to build AI application with clicks, not code.

Question 12

How does an organization benefit from using AI 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

Answer 12

B. Customers are more likely to be satisfied with their shopping experience.

Question 13

Cloud Kicks wants to use AI 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

Answer 13

C. Einstein Lead Scoring and Case Classification

Question 14

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

Answer 14

C. Consistency

Question 15

What is a sensitive variable that can lead to bias?

A. Education level
B. Country
C. Gender

Answer 15

C. Gender

Question 16

Cloud Kicks prepares a dataset for an AI model and identifies some inconsistencies in the data.
What is the most appropriate action the company should take?

A. Adjust the Al model to account for the data inconsistencies.
B. Increase the quantity of data being used for training the model
C. Investigate the data inconsistencies and apply data quality techniques.

Answer 16

C. Investigate the data inconsistencies and apply data quality techniques.

Question 17

A financial institution plans a campaign for preapproved credit cards?
How should they implement Salesforce’s Trusted AI 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

Answer 17

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

Question 18

A business analyst (BA) is preparing a new use case for Al. They run a report to check for null values in the attributes they plan to use. Which data quality component Is the BA verifying by checking for null values?

A. Duplication
B. Usage
C. Completeness

Answer 18

C. Completeness

Question 19

Why is it critical to consider privacy concerns when dealing with AI 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

Answer 19

A. Ensures compliance with laws and regulations

Question 20

What is one technique to mitigate bias and ensure fairness in AI applications?

A. Ongoing auditing and monitoring of data that is used in AI applications
B. Excluding data features from the Al application to benefit a population
C. Using data that contains more examples of minority groups than majority groups

Answer 20

A. Ongoing auditing and monitoring of data that is used in AI applications

Question 21

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

Answer 21

B. Picklist

Question 22

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

Answer 22

A. By limiting how many people have access to data

Question 23

A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately. Which functionality provides the best solution?

A. Call Summaries
B. Sales Dialer
C. Auto-Generated Sales Tasks

Answer 23

A. Call Summaries

Question 24

How does data quality impact the trustworthiness of Al-driven decisions?

A. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-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.

Answer 24

B. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.

Question 25

What is the significance of explainability of trusted AI systems? A. Increases the complexity of AI models B. Enhances the security and accuracy of AI models C. Describes how Al models make decisions

Answer 25

C. Describes how Al models make decisions

Question 26

Cloud Kicks relies on data analysis to optimize its product recommendations for customers. How will incomplete data quality impact the company's recommendations? A. The response time for the product B. The accuracy of the product C. The diversity of the product

Answer 26

B. The accuracy of the product

Question 26

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

Answer 26

A. Lead soring and opportunity forecasting

Question 27

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

Answer 27

B. AI infringes on privacy when user consent is not obtained.

Question 28

A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of the AI models? A. Performance B. Consistency C. Volume

Answer 28

B. Consistency

Question 29

What can bias in AI algorithms in CRM lead to? A. Personalization and target marketing changes B. Advertising cost increases C. Ethical challenges in CRM systems

Answer 29

C. Ethical challenges in CRM systems

Question 30

What are some key benefits of AI 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

Answer 30

B. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions

Question 31

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

Answer 31

C. Opportunity Scoring, Lead Scoring, Account Insights

Question 32

What should an organization do to enforce consistency across accounts for newly entered records? A. Merge all duplicate accounts into a single record when duplicate entries are detected. B. Input the data exactly as it appears from the source, such as the company's website or social media, C. Implement naming conventions or a predefined list of user-selectable values for organization-wide records.

Answer 32

C. Implement naming conventions or a predefined list of user-selectable values for organization-wide records.

Question 33

The Cloud technical team is assessing the effectiveness of their AI development processes? Which established Salesforce Ethical Maturity Model should the team use to guide the development of trusted AI solution? A. Ethical AI Prediction Maturity Model B. Ethical AI Process Maturity Model C. Ethical AI practice Maturity Model

Answer 33

B. Ethical AI Process Maturity Model

Question 34

A developer is tasked with selecting a suitable dataset for training an AI 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

Answer 34

B. Size of the dataset

Question 35

A customer using Einstein Prediction Builder is confused about why a certain prediction was made. Following Salesforce's Trusted AI 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 AI 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

Answer 35

B. An explanation of the prediction's rationale and a model card that describes how the model was created

Question 36

How are prediction definitions and models related? A. There is a 1:1 relationship. B. There are one or more prediction definitions per model. C. There are one or more models per prediction definition. D. Models use prediction definitions to calculate predictions.

Answer 36

C. There are one or more models per prediction definition.

Question 37

What are the main elements of the model lifecycle? A. Build, Analyze, Deploy, Disable B. Train, Modify, Deploy, Review C. Create, Execute, Predict, Retune D. Train, Evaluate, Deploy, Monitor

Answer 37

D. Train, Evaluate, Deploy, Monitor