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Salesforce AI Associate Exam Questions and Answers PD | SPOTO

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Question #1
Why is high-quality data essential for the success of AI systems?
A. It ensures the AI system can operate without any human oversight
B. Quality data reduces the computational power needed for AI algorithms
C. It guarantees the AI system will be completely unbiased
D. High-quality data leads to more accurate and reliable AI predictions and decisions
View answer
Correct Answer: D
Question #2
Which CRM AI capability helps in identifying sales opportunities from email conversations?
A. Chatbots
B. Email sentiment analysis
C. Data visualization
D. Automated data entry
View answer
Correct Answer: B
Question #3
Cloud kicks wants to develop a solution to predict customers' interest based on historical data. The company found that employee region uses a text field to capture the product category while employee from all other locations use a picklist.Which dimension of data quality is affected in this scenario?
A. Accuracy
B. Consistency
C. Completeness
View answer
Correct Answer: B
Question #4
What is an example of ethical debt?
A. Violating a data privacy law and falling to pay fines
B. Launching an AI feature after discovering a harmful bias
C. Delaying an AI product launch to retrain an AI data model
View answer
Correct Answer: B
Question #5
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
View answer
Correct Answer: A
Question #6
What are some key benefits of AI in improving customer experiences in CRM?
A. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
B. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutionscorrect
C. Fully automates the customer service experience, ensuring seamless automated interactions with customers
View answer
Correct Answer: B
Question #7
A customer using Einstein Prediction Builder is confused about why a certain prediction was made. Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?
A. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
B. An explanation of the prediction's rationale and a model card that describes how the model was createdcorrect
C. A marketing article of the product that clearly outlines the oroduct's capabilities and features
View answer
Correct Answer: B
Question #8
What is a key challenge of human AI collaboration in decision-making?
A. Leads to move informed and balanced decision-making
B. Creates a reliance on AI, potentially leading to less critical thinking and oversight
C. Reduce the need for human involvement in decision-making processes
View answer
Correct Answer: B
Question #9
Which Einstein capability uses emails to create content for Knowledge articles?
A. Generatecorrect
B. Discover
C. Predict
View answer
Correct Answer: A
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
View answer
Correct Answer: C
Question #11
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?
A. Integrate AI models that auto-correct biased data
B. Implement Salesforce's Trusted AI Principles
C. Use demographic data to identify minority groups
View answer
Correct Answer: B
Question #12
Which Einstein capability uses emails to create content for Knowledge articles?
A. Generate
B. Discover
C. Predict
View answer
Correct Answer: A
Question #13
Which best describes the different between predictive AI and generative AI?
A. Predictive new and original output for a given input
B. 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
C. 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
View answer
Correct Answer: A

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