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Salesforce AI-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Agent Force Concepts | 30% | - Einstein GPT Integration
|
| Einstein Trust Layer & Security | - Data Masking
| |
| Reasoning Engine & AI Actions | - Workflow mastery
| |
| Prompt Engineering | 30% | - Prompt Builder & Template Creation
|
Salesforce Certified Agentforce Specialist Sample Questions:
1. A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries. Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy. Which feature in Einstein for Service should the support team use?
A) Einstein Service Replies
B) Einstein Knowledge Recommendations
C) Einstein Reply Recommendations
2. Universal Container's internal auditing team asks An Agentforce to verify that address information is properly masked in the prompt being generated. How should the Agentforce Specialist verify the privacy of the masked data in the Einstein Trust Layer?
A) Review the platform event logs
B) Enable data encryption on the address field
C) Inspect the AI audit trail
3. Coral Cloud Resorts needs consistent pass/fail logic for agent testing. Which Testing Center capability provides that?
A) Use customer rating as a proxy for correctness.
B) Run a script on event logs to identify the failed utterances.
C) Use structured batch testing with validation per test utterance,
4. An Agentforce Specialist created a Field Generation prompt template. What should the Agentforce Specialist do to expose the template to the user?
A) Use a screen flow to associate the Field Generation prompt template.
B) Call a template using an autolaunched flow.
C) Associate the template with the form field on the Lightning page.
5. Universal Containers (UC) is tracking web activities in Data Cloud for a unified contact, and wants to use that in a prompt template to help extract insights from the data. Assuming that the Contact object is one of the objects associated with the prompt template, what is a valid way for DC to do this?
A) Call the prompt directly from Data Cloud with a web tracing activity included in the prompt definition.
B) Create a prompt template that takes a list of all Data Cloud activity records as input to pass to the large language model (LLM).
C) Add the activity records as an enrichment related list to the Contact then pass the Contact into a prompt template workspace using related list grounding.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |
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