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The document contains a series of questions related to AI principles and applications, specifically focusing on Salesforce's Trusted AI Principles and the impact of data quality on AI outcomes. It includes multiple-choice questions about enhancing customer engagement, the consequences of poor data quality, and ethical challenges in AI development. The exam appears to be part of a certification process for Salesforce Certified AI Associate, with a time limit for completion.

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0% found this document useful (0 votes)
8 views42 pages

Ai Asscociate 2 24

The document contains a series of questions related to AI principles and applications, specifically focusing on Salesforce's Trusted AI Principles and the impact of data quality on AI outcomes. It includes multiple-choice questions about enhancing customer engagement, the consequences of poor data quality, and ethical challenges in AI development. The exam appears to be part of a certification process for Salesforce Certified AI Associate, with a time limit for completion.

Uploaded by

jeffdeff706
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31 of 40. Cloud Kicks’ latest email campaign is struggling to attract new customers.

How can Al increase the company's customer email engagement?


(°) ‘Create personalized emails
B. oO Resend emails to inactive recipients
C.C) Remove invalid email addresses

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30 of 40. What is a potential outcome of using poor-quality data in AI applications?


A. oO AI model training becomes slower and less efficient.
8.) Al models are less accurate but easier to train.
c© AI models may produce biased or erroneous results.

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29 of 40. In the context of Salesforce's Trusted Al Principles, what does the principle of Responsibility primarily focus on?
A. oO Providing a framework for data model accuracy
8. oO Outlining the technical specifications for Al integration
c© Ensuring ethical use of AI

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28 of 40. What is a benefit of a diverse, balanced, and large dataset?


AOC Model complexity
a) Model trainability
c© Model accuracy

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27 of 40. What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?
A. oO Safeguarding fundamental human rights and protecting sensitive data
8. Oo Ensuring transparency in Al-driven recommendations and predictions
c© Taking responsibility for one's actions toward customers, partners, and society

O Mark this item for later review.

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26 of 40. What is one technique to mitigate bias and ensure fairness in Al applications?
A. oO Using data that contains more examples of minority groups than majority groups
B. oO €xcluding data features from the Al application to benefit 2 population
c© Ongoing auditing and monitoring of data that is used in AI applications

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25 of 40. What is a key challenge of human-Al collaboration in decision-making?


A. ‘Creates a reliance on Al, potentially leading to less critical thinking and oversight
B.C) Leads to more informed and balanced dacision-making
& oO Reduces the need for human involvement in decision-making processes

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24 of 40. Which type of AI can enhance customer service agents’ email responses by analyzing the written content of previous emails?
A. oO Deep learning
B. Natural language processing
1) Machine learning

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23 of 40. In the context of Salesforce's Trusted AI Principles, what does the principle of Empowerment primarily aim to achieve?
A. oy Empower users to contribute to the growing body of knowledge of leading Al research.
i=} Empower users of all skill levels to build AI applications with clicks, not code.
c. oO Empower users to solve challenging technical problems using neural networks.

oO Mark this item for later review,

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22 of 40. What is a benefit of data quality and transparency as it pertains to bias in generative Al?
AQ ‘Chances of bias are removed.
8.) Chances of bias are mitigated.
c© ‘Chances of bias are aggravated.

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21 of 40. Cloud Kicks wants to use AI to enhance its sales processes and customer support.

Which capability should they use?


(+) Einstein Lead Scoring and Case. Classification
B. oO Finstein Next Best Action and Case Auto Response Rules
@: oO Sales Path and Automated Case Escalations

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20 of 40. A business analyst (BA) is preparing a new use case for AI. 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. oO Duplication
© Camplateness
Cc. oO Usage

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19 of 40. What are some of the ethical challenges associated. with AI development?
(+) Potential for human bias in machine learning algorithms and the lack of transparency in Al decision-making processes
B.C Tnherent neutrality of Al systems, which eliminates any potential for human bias in decision-making
c. oO Implicit transparency of Al systems, which makes it easy for Users to understand and trust their decisions

oO Mark this item for later review.

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18 of 40, What are predictive analytics, machine learning, natural language processing (NLP), and computer vision?
A. oO Different types of automation tools used in Salesforce
B. Different types of Al that can be spplied in Salesforce
we oO Different types of data models used in Salesforce

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16 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.

How can data quality be assessed quickly?


A. o Leverage data quality apps from AppExchange
B. ie) Build a Data Management Strategy.
€, 0) Run reports to explore the data quality

O Mark this item for Jater review.

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17 of 40. Which best describes the difference between predictive Al and generative AI?
A. cy Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative 4] does not use machine learning to generate its output.
B.C) Predictive 41 and generative Al have the same capabilities but differin the type of input they receive; predictive Al receives raw data whereas generative Al receives natural
language.
c Predictive Al uses machine learming to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for a
given input.

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16 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.

How can data quality be assessed quickly?


© Leverage data quality apps from AppExchange.
1 @) Build a Data Management Strategy.
C. ©) Run reports to explore the data quality.

oO Mark this item for later review.

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15 of 40. What does the term "data completeness" refer to in the context of data quality?
A. oO The ability to access data from multiple sources in real time
6. O The process.of aggregating multiple datasets from various databases
“© The degree to which all required data points are present in the dataset

oO Mark this item for later review.

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14 of 40. 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?
(°)) Review and update missing lead information.
B. oO Redesign the lead conversion process.
te) Prioritize active leads quarterly.

O Mark this item for later review,

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13 of 40. What is the best method to safeguard customer data privacy?


A. Track customer data consent preferences.
B.C) Archive customer data on a recurring schedule.
c. oO Protect customer data with encrypted access.

O Mark this item for later review.

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12 of 40. 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 frequently asked questions.

Which field of AI is most suitable for this scenario?


A, Natural language processing
B. oO Computer vision

re) Predictive analytics

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11 of 40, What are the three commonly used exarnples of AI in CRM?


A. Predictive scoring, forecasting, recommendations
5.) Einstein Bots, face recognition, recommendations
G oO Predictive scoring, reporting, Einstein Bots

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10 of 40. 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 AI?
AL oO Determine data outcomes.
B. Determine data availability.
1) Determine data biases.

oO Mark this item for later review.

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9 of 40. What are the potential consequences of an organization suffering from poor data quality?
‘© Revenue loss, poor customer service, and reputational damage
8.7) Low employee morale, stack devaluation, and inability to attract top talent
c. oO Technical debt, monolithic system architecture, and slow ETL throughput

oO Mark this item for later review.

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8 of 40. What should organizations do to ensure data quality for their AI initiatives?
A. oO Prioritize model fine-tuning over data quality improvements.
8. oO Develop AI algorithms to automatically handle data quality issues.
a) ‘Collect and curate high-quality data from reliable sources.

O Mark this item for later review.

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7 of 40. 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. oO Address
B. Picklist
Cc oO Text

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6 of 40.
What is a sensitive variable that can lead to bias?

A.C) Country
B.C Education level
c© Gender

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5 of 40. Which statement exemplifies Salesforce's honesty guideline when training AI models?

AC) Minimize the AI model's carbon footprint and environmental impact during training.
B. oO ‘Choose smaller better-trained models instead of larger more sparsely trained models.
ia(°)) Ensure appropriate consent and transparency when using Al-generated responses.

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4 of 40. What is an implication of user consent in regard to AI data privacy?


A. Al infringes on privacy when user consent is not obtained.
8.) Al ensures complete data privacy by automatically obtaining user consent.
G& oO AI operates independently of user privacy and consent.

oO Mark this item for later review.

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3 of 40. 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. oO Nickname
B. Financial status
te) Email address

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2 of 40, What is an example of Salesforce's Trusted Al Principle of Inclusivity in practice?


A. Testing models with diverse datasets
8. @) Striving for model explainability
ee oO Working with human rights experts

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1 of 40. What is a potential source of bias in training data for AI models?


A. fo] The data is skewed toward a particular démographic or source.
B. ©) The data is collected in real time from source systems,
c. oO The data is collected from a diverse range of sources and demographics.

O Mark this item for later review.

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Test Aids Support Exit Exam


Salesforce Certified AI Associate

Time Taken: 65 minutes of 70 minutes total


Result: Pass

Topic Percentage Correct

AI Fundamentals 100%

AI Capabilities in CRM 100%


Ethical Considerations of AI 100%

Data for Al 93%

Congratulations! You have successfully completed the certification exam to become a Salesforce Certified Al Associate. Welcome to the Salesforce worldwide community of
Certified Professionals!

2024 KRYTERION, Inc. and KRYTERION, Limited - All Rights Reserved. @ kryterion

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Time Remaining: 00:13:03 Enter te

40 of 40. How does a data quality assessment impact business outcomes for companies using Al?
A. oO Improves the speed of AI recommendations
i=} Provides a benchmark for AI predictions
c. oO Accelerates the delivery of new AI solutions

oO Mark this item for later review.

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Time Remaining: 00:13:06 Enter te

39 of 40. How is natural language processing (NLP) used in the context of AI capabilities?
A. To understand and generate human language
8.) To cleanse and prepare data for AI implementations
c. oO To interpret and understand programming language

O Mark this item for later review.

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Time Remaining: 00:13:10 Enter te

38 of 40. Cloud Kicks plans to usé automated chat as its primary support channel.

Which Einstein feature should they use?


A. oO Discovery
B. oO Next Best Action
c© Bots

O Mark this item for later review.

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Time Remaining: 00:13:14 Enter te

37 of 40. A developer has a largé 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?
(°)) Consistency
B. oO Volume
G Oo Performance

O Mark this item for later review.

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Time Remaining: 00:13:19 Enter te

36 of 40. Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.

Which type of records negatively impact data quality?


(°) Duplicate
8. Complete
1) Structured

oO Mark this item for later review.

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Time Remaining: 00:13:23 Enter te

35 of 40. A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets.

Which Salesforce Trusted Al Principle is being practiced?


A. oO Accountability
B. oO Transparency
c© Inclusivity

O Mark this item for later review.

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Time Remaining: 00:13:27 Enter te

34 of 40. Cloud Kicks discovered multiple variations of state and country values in contact records.

Which data quality dimension is affected by this issue?


AL oO Accuracy

B. Consistency
c oO Usage

O Mark this item for later review.

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Time Remaining: 00:13:29 Enter te

33 of 40. What is the significance of explainability of trusted Al systems?


A Describes how AL models make decisions
B.C) Enhances the security and accuracy of Ai models
GG oO Increases the complexity of Al models

Oo Mark this item for later review.

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Time Remaining: 00:13:33 Enter te

32 of 40. A sales manager wants to improve their processes using Al in Salesforce.

Which application of AI would be most beneficial?


(°) Lead scoring and opportunity forecasting
B. oO Data modeling and management
1) Sales dashboards and reporting

oO Mark this item for later review.

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