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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Agent Force Concepts30%- Data Cloud & Grounding Techniques
  • 1. Real-world applications
- Einstein GPT Integration
  • 1. Advanced implementation strategies
Topic 2: Einstein Trust Layer & Security- Trust Layer & Security Features
  • 1. Enterprise-grade deployment
- Data Masking
  • 1. Configuration of privacy data entities
Topic 3: Reasoning Engine & AI Actions- Workflow mastery
  • 1. Custom Agent actions (Apex)
  • 2. Custom Agent actions (Flows)
  • 3. Standard Agent actions
Topic 4: Prompt Engineering30%- Agentforce AI Setup & Configuration
  • 1. Advanced implementation strategies
- Prompt Builder & Template Creation
  • 1. Best practices

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Salesforce Certified Agentforce Specialist Sample Questions (Q74-Q79):

NEW QUESTION # 74
What is the primary function of the planner service in the Agent system?

Answer: A

Explanation:
The primary function of the planner service in the Agent system is to identify copilot actions that should be taken in response to user utterances. This service is responsible for analyzing the conversation and determining the appropriate actions (such as querying records, generating a response, or taking another action) that the Agent should perform based on user input.


NEW QUESTION # 75
Which metric provides the MOST insight into whether an Agentforce agent is delivering business value?

Answer: B

Explanation:
Business value is best measured by successful task completion and resolution outcomes.


NEW QUESTION # 76
Universal Containers (UC) recently rolled out Einstein Generative AI 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?

Answer: C

Explanation:
UC's custom prompt for summarizing case records is underperforming, and we need to identify a likely cause.


NEW QUESTION # 77
Universal Containers (UC) users are complaining that agent answers are not satisfactory. The agent is using PDF files as a knowledge source. How should UC troubleshoot this issue?

Answer: B

Explanation:
Why is "Verify the retriever's filter criteria and data source connection" the correct answer?
If agent answers are not satisfactory when using PDF files as a knowledge source, the issue is likely caused by:
Retriever misconfiguration
If filters are too broad or too restrictive, AI may fail to find relevant information.
Checking filter logic and retrieval scope helps improve accuracy.
Incorrect data source connection
If the retriever is not properly linked to the PDF storage location, it may fail to retrieve relevant information.
Ensuring a stable connection between Salesforce Data Cloud and the retriever prevents retrieval failures.
Parsing Issues with PDF Files
If PDFs are not properly indexed, AI may struggle to extract relevant content.
Ensuring structured document formatting improves AI comprehension.


NEW QUESTION # 78
Why is starting with a narrowly scoped Agentforce use case considered a best practice?

Answer: A

Explanation:
A narrow scope limits unintended behavior and makes monitoring, tuning, and governance easier.


NEW QUESTION # 79
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