Salesfoce Associate 1
Salesfoce Associate 1
1 of 40. What should be done to prevent bias from entering an Al system when training it?
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2 of 40. Cloud Kicks prepares a dataset for an Al model and identifies some inconsistencies in the data.
A.(O Increase the quantity of data being used for training the model.
B. O Adjust the Al model to account for the data inconsistencies.
C@ Investigate the data inconsistencies and apply data guality techniques.
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3 of 40. How does poor data quality affect predictive and generative Al models?
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4 of 40. 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 picklist.
A.@ Consistency
B.o Completeness
C.(O Accuracy
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5 of 40. Cloud Kicks wants to evaluate the quality of its sales data.
Which first step should they take for the data quality assessment?
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6 of 40. To avoid introducing unintended bias to an Al model, which type of data should be omitted?
A@ Demographic
B. O Engagement
CAO Transactional
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7 of 40. What should an organization do to enforce consistency across accounts for newly entered records?
A. O Merge all duplicate accounts into a single record when duplicate entries are detected.
B. O Implement naming conventions or a predefined list of user-selectable values for organization-wide records.
C. ° Input the data exactly as it appears from the source, such as the company’'s website or social media.
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8 of 40. In the context of Salesforce's Trusted Al Principles, what does the principle of Empowerment primarily aim to achieve?
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10 of 40. Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.
A Duplicate
B. O Structured
C. O Complete
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11 of 40. How does Al within CRM help sales representatives better understand previous customer interactions?
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12 of 40. Which best describes the difference between predictive Al and generative AlI?
Al O Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al does not use machine learning to generate its output.
B. o Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive Al receives raw data whereas generative Al receives natural language.
C@ Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine leaming to generate new and original output for a given input.
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A@ Predictive Analytics
B. O Rules-based systems
C. O Neural networks
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14 of 40. Cloud Kicks wants to use Al to enhance its sales processes and customer support.
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A, O Rely on a team with similar backgrounds to the target users and assess the model.
B. O Test only with data from a specific region or demographic to ensure data will be relevant.
C@ Test with diverse and representative datasets appropriate for how the model will be used.
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16 of 40. A service leader wants to use Al to help customers resolve their issues quicker in a guided self-serve application.
A @ Bots
B. O Case Classification
C.O Recommendation [}
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17 of 40. Cloud Kicks wants to use Einstein Prediction Builder to determine a customer's likelihood of buying specific products; however, data quality is a
concern.
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18 of 40. A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets.
A.O Accountability b
a.@ Indusivity
C. O Transparencv
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19 of 40. How does data quality impact the trustworthiness of Al-driven decisions?
A, o Low-quality data increases the risk of overfitting the model, but accuracy of predictions may improve.
a@ High-quality data improves the reliability and credibility of AI-driven decisions.
C. o The use of both low-quality and high-quality data can improve the accuracy and reliability of Al-driven decisions, fostering trust among users.
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22 of 40. How does an organization benefit from using Al to personalize the shopping experience of online customers?
A. O Customers are more likely to personalize their own shopping experience after learming from Al.
B. O Customers are more likely to share personal information with a site that personalizes their experience.
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23 of 40. A business analyst (BA) wants to improve business by enhancing their sales processes and customer support.
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24 of 40. Which data does Salesforce automatically exclude from Marketing Cloud Einstein engagement model training to mitigate bias and ethical risks?
A@ Demographic
B. O Geographic
C. o Cryptographic
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25 of 40. Cloud Kicks relies on data analysis to optimize its product recommendations for customers.
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26 of 40. Cloud Kicks wants to improve the quality of its Al model's predictions with the use of a large amount of data.
A Accuracy
B. O Volume
C. O Location
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27 of 40. Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.
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28 of 40. An administrator at Cloud 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@ Text
B. O Multi-Select Pickdist
C. O Rich Text Area
Comments: b
29 of 40. Salesforce defines bias as using a person's immutable traits to classify them or market to them.
A@ Financial status
B. O Email address
C.O Nickname
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30 of 40. What is a key benefit of effective interaction between humans and Al systems?
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E
Salesforce Certified Al Associate
31 of 40. 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, O A marketing article of the product that dearly outlines the product’s capabilities and features
B@ An explanation of the prediction’s rationale and a model card that describes how the model was created
C. o An explanation of how Prediction Builder works and a link to Salesforce’s Trusted Al Principles I}
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32 of 40. Which action should be taken to develop and implement trusted generative Al with Salesforce's safety guideline in mind?
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35 of 40. Which action introduces bias in the training data used for Al algorithms?
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36 of 40. A sales manager wants to use Al to help sales representatives log their calls quicker and more accurately.
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37 of 40. How does the "right of least privilege" reduce the risk of handling sensitive personal data?
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40 of 40.
What is a societal implication of excluding ethics in Al development?
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Your assessment responses are listed below. Asterisks(™) next to the item number indicate you have marked that item for review. Click on the item number to
return to the desired item. When you are ready to submit your assessment, click the "Submit Exam’ button below to submit your responses and end the
assessment.
Assessment Summary
Number of Items Answered: 40
Number of Items Unanswered 0
Number of Items Marked for Review 0
Answers h
1. C 2. C 2. A 4.A
5. B 6. A 2. C 8.8
9. A 10. A 11. A 12. C
13. A 14.8 15. C 16. A
17. 8 18. 8B 19.8 20.8
21. A 22. C 23.8 24.A
25. A 26. A 27.8 28. A
29. A 30.8 21.8 32. A
33.8 34.C 35.8 36. C |
27. C 28. A 29. A 40. A
ose
—Comicoma|
Al Fundamentals 85%
Al Capabilities in CRM 66%
Congratulations! You have successfully completed the certification exam to become a Salesforce Certified Al Associate. Welcome to the Salesforce worldwide community of
Certified Professionals!