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Salesforce AI Associate Exam Questions and Answers, | SPOTO

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Question #1
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?
A. Enhanced accuracy and reliability of medical predictions and diagnoses
B. Ensured compatibility of AI algorithms with the system's Infrastructure
C. Reduced need for healthcare expertise in interpreting AI outouts
View answer
Correct Answer: A
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
View answer
Correct Answer: A
Question #3
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?
A. Duplication
B. Usage
C. Consent
View answer
Correct Answer: A
Question #4
Which type of bias results from data being labeled according to stereotypes?
A. Association
B. Societalcorrect
C. Interaction
View answer
Correct Answer: B
Question #5
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 plckllst. Which data quality dimension is affected in this scenario?
A. Completeness
B. Accuracy
C. Consistencycorrect
View answer
Correct Answer: C
Question #6
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?
A. Build a Data Management Strategy
B. Build reports to expire the data quality
C. Leverage data quality apps from AppExchange
View answer
Correct Answer: C
Question #7
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?
A. Consistencycorrect
B. Duplication
C. Age
View answer
Correct Answer: A
Question #8
What are some of the ethical challenges associated with AI development?
A. Potential for human bias in machine learning algorithms and the lack of transparency in AI decision-making processes
B. Implicit transparency of AI systems, which makes It easy for users to understand and trust their decisions
C. Inherent neutrality of AI systems, which eliminates any potential for human bias in decision-making
View answer
Correct Answer: A
Question #9
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 data whereas 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 data whereas generative Al uses machine learning to generate new and original output for 4 given input
C. Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive AT receives raw data whereas generative AT receives natural language
View answer
Correct Answer: B
Question #10
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?
A. The accuracy of product recommendations is hindered
B. The diversity of product recommendations Is Improved
C. The response time for product recommendations is stalled
View answer
Correct Answer: A
Question #11
What is the role of Salesforce Trust AI principles in the context of CRM system?
A. Guiding ethical and responsible use of AI
B. Providing a framework for AI data model accuracy
C. Outlining the technical specifications for AI integration
View answer
Correct Answer: A
Question #12
Lack of transparency in AI systems can lead to which of the following issues?
A. Improved user experience due to simplified interfaces
B. Difficulty in understanding how decisions are made
C. Increased trust in AI systems by the general public
D. Enhanced privacy and data protection
View answer
Correct Answer: B
Question #13
What are the three commonly used examples of AI in CRM?
A. Predictive scoring, reporting, Image classification
B. Predictive scoring, forecasting, recommendations
C. Einstein Bots, face recognition, recommendations
View answer
Correct Answer: B
Question #14
What are the key components of the data quality standard?
A. Naming, formatting, Monitoring
B. Accuracy, Completeness, Consistency
C. Reviewing, Updating, Archiving
View answer
Correct Answer: B
Question #15
Cloud Kicks is testing a new AI model.Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?
A. Test only with data from a specific region or demographic to limit the risk of data leaks
B. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model
C. Test with diverse and representative datasets appropriate for how the model will be used
View answer
Correct Answer: C
Question #16
Which features of Einstein enhance sales efficiency and effectiveness?
A. Opportunity List View, Lead List View, Account List view
B. Opportunity Scoring, Opportunity List View, Opportunity Dashboard
C. Opportunity Scoring, Lead Scoring, Account Insightscorrect
View answer
Correct Answer: C
Question #17
What is a primary benefit of implementing AI in CRM systems?
A. Reducing the need for human customer service representatives
B. Automatically updating software versions
C. Providing personalized experiences to customers
D. Increasing the data storage capacity
View answer
Correct Answer: C
Question #18
Cloud Kicks is testing a new AI model. Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?
A. Test only with data from a specific region or demographic to limit the risk of data leaks
B. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model
C. Test with diverse and representative datasets appropriate for how the model will be used
View answer
Correct Answer: C
Question #19
How does AI which CRM help sales representatives better understand previous customer interactions?
A. Creates, localizes, and translates product descriptions
B. Triggers personalized service replies
C. Provides call summaries
View answer
Correct Answer: C
Question #20
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. Financial statuscorrect
B. Nickname
C. Email address
View answer
Correct Answer: A
Question #21
What is a Key consideration regarding data quality in AI implementation?
A. Techniques from customizing AI features in Salesforce
B. Data's role in training and fine-tuning Salesforce AI models
C. Integration process of AI models with Salesforce workflows
View answer
Correct Answer: B
Question #22
How does AI benefit CRM?
A. By replacing human interaction
B. By creating physical products
C. By personalizing customer experiences
D. By focusing solely on data storage
View answer
Correct Answer: C
Question #23
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?
A. The accuracy of product recommendations is hindered
B. The diversity of product recommendations Is Improved
C. The response time for product recommendations is stalled
View answer
Correct Answer: A

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