Salesforce-AI-Specialist: Salesforce Certified AI Specialist Prompt Practice Questions
The free Salesforce-AI-Specialist: Salesforce Certified AI Specialist questions that deal with prompt, with answers and explanations. The full bank and the timed practice test cover every topic the exam asks about.
Question #3
An AI Specialist wants to ground a new prompt template with the User related list. What should the AI Specialist consider?
Correct answer: A
Explanation
An AI Specialist wants to ground a new prompt template with theUser related list. Grounding in prompt templates involves using data from related lists to provide context or additional information to the Large Language Model (LLM) when generating responses. Key Consideration: • Unsupported Related Lists in Prompt Templates: Why Options A and B are Incorrect: • Option A (The User related list should have View All access): • Option B (The User related list needs to be included on the record page): References: • Salesforce AI Specialist Documentation -Prompt Templates Limitations: • Salesforce Help -Data Access in Prompt Templates: • Salesforce Trailhead -Understanding Prompt Template Grounding: Conclusion: Since the User related list is not supported in prompt templates, the AI Specialist must consider alternative approaches. They might need to redesign the prompt template to use supported objects or related lists, or explore other methods to incorporate necessary user information while adhering to Salesforce's data access policies.
Question #6
Universal Containers (UC) recently rolled out Einstein Generative capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information. What is a possible explanation for the poor prompt performance?
Correct answer: A
Explanation
Poor prompt performance when generating case summaries is often due to the data used forgroundingbeingincorrect or incomplete. Grounding involves feeding accurate, relevant data to the AI so it can generate appropriate outputs. If the data source is incomplete or contains errors, the generated summaries will reflect that by being inaccurate or insufficient. • Option B(prompt template incompatibility with the LLM) is unlikely because such incompatibility usually results in more technical failures, not poor content quality. • Option C(Einstein Trust Layer misconfiguration) is focused on data security and auditing, not the quality of prompt responses. For more information, refer toSalesforce documentation on grounding AI modelsand data quality best practices.
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