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Valid Test AI-201 Fee - AI-201 Certificate Exam

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Salesforce Certified Agentforce Specialist Sample Questions (Q37-Q42):

NEW QUESTION # 37
A company wants to retrieve patient history details to augment the Al agent response. [he company wants to leverage the Data Cloud search index feature. What is best practice when considering retrieval-augrmented generation (RAG) for information that may contain personally identifiable information (PII)?

A. Encrypt embeddings, but still index PII records.
B. Depend on the agent's prompt to avoid exposing PII.
C. Mask sensitive fields and index only non-PII data.

Answer: C

Explanation:
According to the AgentForce Data Governance and RAG Security Guidelines, when implementing retrieval-augmented generation (RAG) using Data Cloud search indexes, best practice is to ensure that personally identifiable information (PII) and other sensitive data are never indexed or embedded in the retrieval system.
The documented recommendation is to mask or exclude sensitive fields before creating embeddings or indexing content. This prevents the large language model (LLM) from accessing or generating responses that could inadvertently expose confidential information. Masking can include redacting names, IDs, contact details, or any regulated medical information.

NEW QUESTION # 38
An administrator wants to check the response of the Flex prompt template they've built, but the preview button is greyed out. What is the reason for this?

A. The records related to the prompt have not been selected.
B. The prompt has not been saved and activated,
C. A merge field has not been inserted in the prompt.

Answer: A

Explanation:
When the preview button is greyed out in a Flex prompt template, it is often because the records related to the prompt have not been selected. Flex prompt templates pull data dynamically from Salesforce records, and if there are no records specified for the prompt, it can't be previewed since there is no content to generate based on the template.

NEW QUESTION # 39
After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?

A. A data stream, a search index, and a retriever
B. A data connector, an analytics dashboard, and a workflow rule
C. A data pipeline, an indexing engine, and a query processor

Answer: A

Explanation:
Why is "A data stream, a search index, and a retriever" the correct answer?
When a Salesforce Agentforce Data Library is configured and saved, it automatically creates three essential components in Data Cloud to facilitate AI-driven search and retrieval.
Key Components Created in Data Cloud:
Data Stream
This acts as the pipeline that brings data into Data Cloud.
It enables real-time data ingestion from sources such as Salesforce records, PDFs, or external databases.
Search Index
After ingestion, data is indexed for efficient search and retrieval.
This allows AI models to perform structured queries and retrieve relevant data faster.
Retriever
The retriever is an AI-powered search mechanism that uses the search index to fetch the most relevant data.
It ensures that AI-generated responses are grounded in structured, reliable data.

NEW QUESTION # 40
An agent must comply with regional data regulations (e.g., GDPR). Which Salesforce capability MOST directly supports this?

A. Einstein Trust Layer governance controls
B. Lightning App Builder
C. Custom metadata types
D. Reports and Dashboards

Answer: A

Explanation:
The Einstein Trust Layer enforces data residency, masking, and compliance policies.

NEW QUESTION # 41
What is the primary advantage of creating an individual retriever instead of the default retriever?

A. Individual retrievers can aggregate multiple data spaces and data model objects (DMOs) into a unified retriever output.
B. Individual retrievers allow the configuration of filters, specified fields, and how many results are returned.
C. Individual retrievers automatically generate new search indexes and dynamically update vectors.

Answer: B

Explanation:
The AgentForce Data Cloud and Retrieval Configuration Guide explains that individual retrievers offer customization flexibility beyond the default retriever. The guide states: "Individual retrievers allow specialists to define filters, select specific fields for retrieval, and configure result limits, providing fine-grained control over data recall and relevance."

NEW QUESTION # 42
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