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Ace Your Salesforce AI Associate Exam with the Salesforce-AI-Associate Practice Test

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The Salesforce AI Associate exam may not be rocket science. However, it acknowledges your AI expertise and how you apply it to CRM. These Salesforce-trusted AI principles make you stand out in the job market. Knowing this stuff will be your ticket to acing the 70-minute exam.

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Salesforceprep.com trains Salesforce AI Associate question answers candidates step-by-step. Salesforce-AI-Associate practice tests take you through the exam's array of topics. These topics range from AI, including AI fundamentals, CRM AI capabilities, and ethical considerations of AI, to data for AI. Our aim: you get comfortable with the exam format, types of questions, and time constraints.

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All Salesforce-AI-Associate Related Certification Exams



Salesforce Salesforce-AI-Associate Sample Questions


Question # 1

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


Question # 2

What does the term "data completeness" refer to in the context of data quality?

A. The degree to which all required data points are present in the dataset
B. The process of aggregating multiple datasets from various databases
C. The ability to access data from multiple sources in real time


Question # 3

What are predictive analytics, machine learning, natural language processing (NLP), andcomputer vision?

A. Different types of data models used in Salesforce
B. Different types of automation tools used in Salesforce
C. Different types of AI that can be applied in Salesforce


Question # 4

A developer has a large amount of data, but it is scattered across different systems and isnot standardized.Which key data quality element should they focus on to ensure the effectiveness of the AImodels?

A. Performance
B. Consistency
C. Volume


Question # 5

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.


Question # 6

Which type of AI can enhance customer service agents' email responses by analyzing thewritten content of previous emails?

A. Natural language processing
B. Machine learning
C. Deep learning


Question # 7

Cloud Kicks plans to use automated chat as its primary support channel.Which Einstein feature should they use?

A. Discovery
B. Bots
C. Next Best Action


Question # 8

A business analyst (BA) is preparing a new use case for Al. They run a report to check fornull 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


Question # 9

Cloud Kicks' latest email campaign is struggling to attract new customers.How can AI increase the company's customer email engagement?

A. Create personalized emails
B. Resend emails to inactive recipients
C. Remove invalid email addresses


Question # 10

Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.Which type of records negatively impact data quality?

A. Structured
B. Complete
C. Duplicate


Question # 11

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


Question # 12

Which action introduces bias in the training data used for AI algorithms?

A. Using a large dataset that is computationally expensive
B. Using a dataset that represents diverse perspectives and populations
C. Using a dataset that underrepresents perspectives and populations


Question # 13

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

A. Predictive AT uses machine learning to classify or predict outputs from its input datawhereas generative Al does not use machine learning to generate its output.
B. Predictive Al uses machine learning to classify or predict outputs from its input datawhereas generative Al uses machine learning to generate new and original output for 4given input
C. Predictive Al and generative Al have the same capabilities but differ in the type of inputthey receive; predictive AT receives raw data whereas generative AT receives naturallanguage.


Question # 14

How does AI assist in lead qualification?

A. Scores leads based on customer data
B. Creates personalized SMS campaigns
C. Automatically interacts with prospects


Question # 15

Cloud Kicks wants to evaluate the quality of its sales data.Which first step should they take for the data quality assessment?

A. Plan and align territories,
B. Run a new report or dashboard.
C. Identify business objectives.


Question # 16

Which AI tool is a web of connections, guided by weights and biases?

A. Neural networks
B. Predictive Analytics
C. Rules- based systems
D. Mark this item for later review,


Question # 17

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

A. Creates inaccurate results
B. Increases raw data volume
C. Decreases storage efficiency


Question # 18

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.


Question # 19

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

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


Question # 20

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


Question # 21

What is a societal implication of excluding ethics in AI development?

A. Faster and cheaper development
B. More innovation and creativity
C. Harm to marginalized communities


Question # 22

What should an organization do to enforce consistency across accounts for newly enteredrecords?

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 orsocial media,
C. Implement naming conventions or a predefined list of user-selectable values fororganization-wide records.


Question # 23

Cloud Kicks wants to improve the quality of its AI model's predictions with the use of alarge amount of data.Which data quality element should the company focus on?

A. Accuracy
B. Location
C. Volume


Question # 24

How does AI which CRM help sales representatives better understand previous customerinteractions?

A. Creates, localizes, and translates product descriptions
B. Triggers personalized service replies
C. Provides call summaries


FAQs Related To Salesforce Certified AI Associate Exam (SU24)

How much does the Salesforce-AI-Associate exam cost in 2025?
What are the key benefits of earning the Salesforce-AI-Associate certification in 2025?
What is the typical salary range for a Salesforce-AI-Associate certified professional in 2025?
How does the Salesforce-AI-Associate certification enhance my career in 2025?
Can I retake the Salesforce-AI-Associate exam if I don’t pass on the first attempt?
What topics are covered in the Salesforce-AI-Associate exam in 2025?
How long is the Salesforce-AI-Associate certification valid, and what are the recertification requirements?
Are there any prerequisites for taking the Salesforce-AI-Associate exam in 2025?
What resources are available for preparing for the Salesforce-AI-Associate exam in 2025?
How many questions are on the Salesforce-AI-Associate exam, and what is the format?
How long do I have to complete the Salesforce-AI-Associate exam in 2025?
Is the Salesforce-AI-Associate certification recognized globally?
What kind of roles can I pursue after earning the Salesforce-AI-Associate certification?
How can I schedule the Salesforce-AI-Associate exam?


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