Free AI Associate Salesforce-AI-Associate Ultimate Study Guide (Updated 103 Questions) [Q35-Q52]

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Free AI Associate Salesforce-AI-Associate Ultimate Study Guide (Updated 103 Questions)

Get to the Top with Salesforce-AI-Associate Practice Exam Questions

NEW QUESTION 35
Which Einstein capability uses emails to create content for Knowledge articles?

Generate

Discover

Predict

NEW QUESTION 36
Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce’s Trusted AI Principle of Incluslvity?

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

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

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

NEW QUESTION 37
Which best describes the different between predictive AI and generative AI?

Predictive new and original output for a given input.

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

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

NEW QUESTION 38
A sales manager wants to improve their processes using AI in Salesforce?
Which application of AI would be most beneficial?

Lead soring and opportunity forecasting

Sales dashboards and reporting

Data modeling and management

NEW QUESTION 39
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?

Integrate AI models that auto-correct biased data.

Implement Salesforce’s Trusted AI Principles.

Use demographic data to identify minority groups.

NEW QUESTION 40
How does poor data quality affect predictive and generative AI models?

Creates inaccurate results

Increases raw data volume

Decreases storage efficiency

NEW QUESTION 41
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?

Adjust the Al model to account for the data inconsistencies.

Increase the quantity of data being used for training the model

Investigate the data inconsistencies and apply data quality techniques.

NEW QUESTION 42
Which type of bias imposes a system ‘s values on others?

Societal

Automation

Association

NEW QUESTION 43
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?

Remove biased data.

Determine data availability.

Determine data outcomes.

NEW QUESTION 44
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?

Duplication

Usage

Consent

NEW QUESTION 45
What is a potential outcome of using poor-quality data in AI application?

AI model training becomes slower and less efficient

AI models may produce biased or erroneous results.

AI models become more interpretable

NEW QUESTION 46
What is a sensitive variable that car esc to bias?

Education level

Country

Gender

NEW QUESTION 47
What is a Key consideration regarding data quality in AI implementation?

Techniques from customizing AI features in Salesforce

Data’s role in training and fine-tuning Salesforce AI models

Integration process of AI models with Salesforce workflows

NEW QUESTION 48
Cloud Kicks wants to develop a solutionto 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 plckllst.
Which data quality dimension is affected in this scenario?

Completeness

Accuracy

Consistency

NEW QUESTION 49
What is an implication of user consent in regard to AI data privacy?

AI ensures complete data privacy by automatically obtaining user consent.

AI infringes on privacy when user consent is not obtained.

AI operates Independently of user privacy and consent.

NEW QUESTION 50
What is the main focus of the Accountability principle in Salesforce’s Trusted AI Principles?

Safeguarding fundamental human rights and protecting sensitive data

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

Ensuring transparency In Al-driven recommendations and predictions

NEW QUESTION 51
What is the main focus of the Accountability principle in Salesforce’s Trusted AI Principles?

Safeguarding fundamental human rights and protecting sensitive data

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

Ensuring transparency In Al-driven recommendations and predictions

NEW QUESTION 52
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?

Build a Data Management Strategy.

Build reports to expire the data quality.

Leverage data quality apps from AppExchange

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

Topic	Details
Topic 1	Identify CRM AI capabilities Differentiate between the types of AI and their capabilities
Topic 2	Describe the importance of data quality Explain the basic principles and applications of AI within Salesforce
Topic 3	AI Capabilities in CRM Ethical Considerations of AI AI Fundamentals
Topic 4	Apply Salesforce’s Trusted AI Principles to given scenarios Describe the benefits of AI as they apply to CRM
Topic 5	Describe the ethical challenges of AI Describe the elements components of data quality