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Salesforce Certified AI Associate Free Exam Questions

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1 / 60

Which type of bias imposes a system's values on others?

Societal

Association

Automation

2 / 60

A sales manager wants to improve their processes using AI in Salesforce.
Which application of AI would be most beneficial?

Sales dashboards and reporting

Lead scoring and opportunity forecasting

Data modeling and management

3 / 60

What are the key components of the data quality standard?

Naming, Formatting, Monitoring

Reviewing, Updating, Archiving

Accuracy, Completeness, Consistency

4 / 60

What is the most likely impact that high-quality data will have on customer relationships?

Increased brand loyalty

Improved customer trust and satisfaction

Higher customer acquisition costs

5 / 60

How does AI within CRM help sales representatives better understand previous customer interactions?

Triggers personalized service replies

Creates, localizes, and translates product descriptions

Provides call summaries

6 / 60

What is the role of Salesforce's Trusted AI Principles in the context of CRM systems?

Guiding ethical and responsible use of AI

Providing a framework for AI data model accuracy

Outlining the technical specifications for AI integration

7 / 60

A business analyst (BA) wants to improve business by enhancing their sales processes and customer support.
Which AI applications should the BA use to meet their needs?

Lead scoring, opportunity forecasting, and case classification

Machine learning models and chatbot predictions

Sales data cleansing and customer support data governance

8 / 60

What is a benefit of data quality and transparency as it pertains to bias in generative AI?

Chances of bias are mitigated

Chances of bias are removed

Chances of bias are aggravated

9 / 60

Cloud Kicks wants to use an AI model 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?

Volume

Reliability

Age

10 / 60

Why is it critical to consider privacy concerns when dealing with AI and CRM data?

Increases the volume of data collected

Confirms the data is accessible to all users

Ensures compliance with laws and regulations

11 / 60

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

Empower users to contribute to the growing body of knowledge of leading AI research

Empower users to solve challenging technical problems using neural networks

Empower users of all skill levels to build AI applications with clicks, not code

12 / 60

A data quality expert at Cloud Kicks wants to ensure that each new contact contains at least an email address or phone number.
Which feature should they use to accomplish this?

Duplicate matching rule

Validation rule

Autofill

13 / 60

What is machine learning?

AI that can grow its intelligence

AI that creates new content

A data model used in Salesforce

14 / 60

A financial institution plans a campaign for preapproved credit cards.
How should they implement Salesforce's Trusted AI Principle of Transparency?

Flag sensitive variables and their proxies to prevent discriminatory lending practices

Communicate how risk factors such as credit score can impact customer eligibility

Incorporate customer feedback into the model’s continuous training

15 / 60

Which best describes the difference between predictive AI and generative AI?

Predictive AI and generative AI have the same capabilities but differ in the type of input they receive; predictive AI receives raw data whereas generative AI receives natural language

Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI uses machine leaning to generate new and original output for a given input

Predictive AI uses machine learning to classify or predict outputs from its input data whereas generative AI does not use machine learning to generate its output

16 / 60

What is a key challenge of human-AI collaboration in decision-making?

Creates a reliance on AI, potentially leading to less critical thinking and oversight

Reduces the need for human involvement in decision-making processes

Leads to more informed and balanced decision-making

17 / 60

What can bias in AI algorithms in CRM lead to?

Personalization and targeted marketing changes

Advertising cost increases

Ethical challenges in CRM systems

18 / 60

The Cloud Kicks 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 solutions?

Ethical AI Process Maturity Model

Ethical AI Prediction Maturity Model

Ethical AI Practice Maturity Model

19 / 60

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

Dashboard of Current Leads and Cases

Sales Path and Automated Case Escalations

20 / 60

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

The data is skewed toward a particular demographic or source

The data is collected from a diverse range of sources and demographics

The data is collected in real time from source systems

21 / 60

What is an example of ethical debt?

Launching an AI feature after discovering a harmful bias

Delaying an AI product launch to retrain an AI data model

Violating a data privacy law and failing to pay fines

22 / 60

Which Einstein capability uses emails to create content for Knowledge articles?

Generate

Discover

Predict

23 / 60

How does a data quality assessment impact business outcomes for companies using AI?

Improves the speed of AI recommendations

Provides a benchmark for AI predictions

Accelerates the delivery of new AI solutions

24 / 60

A system admin recognizes the need to put a data management strategy in place.
What is a key component of a data management strategy?

Data Backup

Color Coding

Naming Convention

25 / 60

A consultant conducts a series of Consequence Scanning Workshops to support testing diverse datasets.
Which Salesforce Trusted AI Principle is being practiced?

Transparency

Accountability

Inclusivity

26 / 60

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

AI model training becomes slower and less efficient

AI models become more interpretable

AI models may produce biased or erroneous results

27 / 60

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.
Which dimension of data quality is affected in this scenario?

Consistency

Completeness

Accuracy

28 / 60

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?

Usage

Consent

Duplication

29 / 60

A marketing manager wants to use AI to better engage their customers.
Which functionality provides the best solution?

Einstein Engagement

Journey Optimization

Bring Your Own Model

30 / 60

Which action should be taken to develop and implement trusted generative AI with Salesforce's safety guideline in mind?

Create guardrails that mitigate toxicity and protect PII

Develop right-sized models to reduce our carbon footprint

Be transparent when AI has created and autonomously delivered content

31 / 60

What is a sensitive variable that can lead to bias?

Country

Gender

Education level

32 / 60

What role does data quality play in the ethical use of AI applications?

High-quality data ensures the presence of demographic attributes required for personalized campaigns

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 unbiased and fair AI decisions, promoting ethical use, and preventing discrimination

33 / 60

A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis.

Which primary role does data quality play in this AI application?

Reduced need for healthcare expertise in interpreting AI outputs

Ensured compatibility of AI algorithms with the system's infrastructure

Enhanced accuracy and reliability of medical predictions and diagnoses

34 / 60

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?

Predictive analytics

Computer vision

Natural language processing

35 / 60

How does the "right of least privilege" reduce the risk of handling sensitive personal data?

By applying data retention policies

By limiting how many people have access to data

By reducing how many attributes are collected

36 / 60

Which data does Salesforce automatically exclude from Marketing Cloud Einstein engagement model training to mitigate bias and ethical risks?

Geographic

Demographic

Cryptographic

37 / 60

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?

Consistency

Duplication

Age

38 / 60

What is one way to achieve transparency in AI?

Establish an ethical and unbiased culture amongst those involved

Communicate AI goals and objectives with those involved prior to all interactions

Allow users to give feedback regarding the inferences the AI makes about them

39 / 60

Which statement exemplifies Salesforce's honesty guideline when training AI models?

Minimize the AI model's carbon footprint and environmental impact during training

Control bias, toxicity, and harmful content with embedded guardrails and guidance

Ensure appropriate consent and transparency when using AI- generated responses

40 / 60

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 AI decision-making processes

Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making

Implicit transparency of AI systems, which makes it easy for users to understand and trust their decisions

41 / 60

What is the best method to safeguard customer data privacy?

Track customer data consent preferences

Archive customer data on a recurring schedule

Automatically anonymize all customer data

42 / 60

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

Data privacy

Training time

Model accuracy

43 / 60

What are some key benefits of AI in improving customer experiences in CRM?

Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats

Fully automates the customer service experience, ensuring seamless automated interactions with customer

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

44 / 60

Which features of Einstein enhance sales efficiency and effectiveness?

Opportunity Scoring, Opportunity List View, Opportunity Dashboard

Opportunity List View, Lead List View, Account List view

Opportunity Scoring, Lead Scoring, Account Insights

45 / 60

Cloud Kicks wants to ensure that multiple records for the same customer are removed in Salesforce.

Which feature should be used to accomplish this?

Trigger deletion of old records

Standardized field names

Duplicate management

46 / 60

How does an organization benefit from using AI to personalize the shopping experience of online customers?

Customers are more likely to be satisfied with their shopping experience

Customers are more likely to share personal information with a site that personalizes their experience

Customers are more likely to visit competitor sites that personalize their experience

47 / 60

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

Engagement

Demographic

Transactional

48 / 60

What is a key benefit of effective interaction between humans and AI systems?

Reduces the need for human involvement

Leads to more informed and balanced decision-making

Alerts humans to the presence of biased data

49 / 60

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?

Age of the dataset

Number of variables in the dataset

Size of the dataset

50 / 60

What should organizations do to ensure data quality for their AI initiatives?

Rely on AI algorithms to automatically handle data quality issues

Prioritize model fine-tuning over data quality improvements

Collect and curate high-quality data from reliable sources

51 / 60

What are the three commonly used examples of AI in CRM?

Einstein Bots, face recognition, recommendations

Predictive scoring, reporting, Image classification

Predictive scoring, forecasting, recommendations

52 / 60

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?

Determine data outcomes

Remove biased data

Determine data availability

53 / 60

Cloud Kicks discovered multiple variations of state and country values in contact records.
Which data quality dimension is affected by this issue?

Consistency

Usage

Accuracy

54 / 60

How is natural language processing (NLP) used in the context of AI capabilities?

To understand and generate human language

To interpret and understand programming language

To cleanse and prepare data for AI implementations

55 / 60

What is an example of Salesforce's Trusted AI Principle of Inclusivity in practice?

Working with human rights experts

Striving for model explain ability

Testing models with diverse datasets

56 / 60

Which type of bias results from data being labeled according to stereotypes?

Interaction

Association

Societal

57 / 60

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?

The response time for product recommendations is stalled

The diversity of product recommendations Is Improved

The accuracy of product recommendations is hindered

58 / 60

Cloud Kicks wants to implement AI features on its 5aiesforce Platform but has concerns about potential ethical and privacy challenges.
What should they consider doing to minimize potential AI bias?

Implement Salesforce's Trusted AI Principles

Use demographic data to identify minority groups

Integrate AI models that auto-correct biased data

59 / 60

Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

Test with diverse and representative datasets appropriate for how the model will be used

Rely on a development team with uniform backgrounds to assess the potential societal implications of the model

Test only with data from a specific region or demographic to limit the risk of data leaks

60 / 60

What is the main focus of the Accountability principle in Salesforce's Trusted AI Principles?

Ensuring transparency In Al-driven recommendations and predictions

Safeguarding fundamental human rights and protecting sensitive data

Taking responsibility for one's actions toward customers, partners, and society

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The average score is 75%

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Free Certified-AI-Associate Exam Questions – 2025 Updated

Study Smarter for the Certified-AI-Associate Exam with Our Free and Accurate Certified-AI-Associate Exam Questions – Updated for 2025.

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