Agentforce-Specialist Free Practice Test

In the context of retriever and search indexes, what best describes the data preparation process in Data Cloud?

1. A. Data preparation focuses on real-time data ingestion and dynamic indexing to generate dynamic grounding reference data without preprocessing steps.
2. B. Data preparation entails aggregating, normalizing, and encoding structured datasets to ensure compliance with data governance and security protocols.
3. C. Data preparation Involves loading, chunking, vectorizing, and storing content in a search-optimized manner to support retrieval from the vector database.

Correct Answer: C
Why is "Loading, Chunking, Vectorizing, and Storing" the correct answer? Agentforce AI-powered search and retriever indexing requires data to be structured and optimized for retrieval. The Data Cloud preparation process involves:
Key Steps in the Data Preparation Process for Agentforce:
✑ Loading Data
✑ Chunking (Breaking Text into Small Parts)
✑ Vectorization (Transforming Text for AI Retrieval)
✑ Storing in a Vector Database
Why Not the Other Options?
* A. Real-time data ingestion and dynamic indexing
✑ Incorrect because while real-time updates can occur, the primary process involves preprocessing and indexing first.
* B. Aggregating, normalizing, and encoding structured datasets
✑ Incorrect because this process relates to data compliance and security, not AI retrieval optimization.
Agentforce Specialist References
✑ Salesforce AI Specialist Material confirms that data preparation includes chunking, vectorizing, and storing for AI retrieval in Data Cloud.

Universal Containers implemented Agent for its users.
One user complains that Agent is not deleting activities from the past 7 days. What is the reason for this issue?

1. A. Agent Delete Record Action permission is not associated to the user.
2. B. Agent does not have the permission to delete the user's records.
3. C. Agent does not support the Delete Record action.

Correct Answer: C
Agent currently supports various actions like creating and updating records but does not support the Delete Record action. Therefore, the user's request to delete activities from the past 7 days cannot be fulfilled using Agent.
✑ Unsupported Action: The inability to delete records is due to the current limitations of Agent's supported actions. It is designed to assist with tasks like data retrieval, creation, and updates, but for security and data integrity reasons, it does not facilitate the deletion of records.
✑ User Permissions: Even if the user has the necessary permissions to delete
records within Salesforce, Agent itself does not have the capability to execute delete operations.
References:
✑ Salesforce Agentforce Specialist Documentation - Agent Supported Actions:
✑ Salesforce Help - Limitations of Agent:

How does the AI Retriever function within Data Cloud?

1. A. It performs contextual searches over an indexed repository to quickly fetch the most relevant documents, enabling grounding AI responses with trustworthy, verifiable information.
2. B. It monitors and aggregates data quality metrics across various data pipelines to ensure only high-integrity data is used for strategic decision-making.
3. C. It automatically extracts and reformats raw data from diverse sources into standardized datasets for use in historical trend analysis and forecasting.

Correct Answer: A
Comprehensive and Detailed In-Depth Explanation:The AI Retriever is a key component in Salesforce Data Cloud, designed to support AI-driven processes like Agentforce by retrieving relevant data. Let??s evaluate each option based on its documented functionality.
✑ Option A: It performs contextual searches over an indexed repository to quickly fetch the most relevant documents, enabling grounding AI responses with trustworthy, verifiable information.The AI Retriever in Data Cloud uses vector- based search technology to query an indexed repository (e.g., documents, records, or ingested data) and retrieve the most relevant results based on context. It employs embeddings to match user queries or prompts with stored data, ensuring AI responses (e.g., in Agentforce prompt templates) are grounded in accurate, verifiable information from Data Cloud. This enhances trustworthiness by linking outputs to source data, making it the primary function of the AI Retriever. This aligns with Salesforce documentation and is the correct answer.
✑ Option B: It monitors and aggregates data quality metrics across various data pipelines to ensure only high-integrity data is used for strategic decision- making.Data quality monitoring is handled by other Data Cloud features, such as Data Quality Analysis or ingestion validation tools, not the AI Retriever. The Retriever??s role is retrieval, not quality assessment or pipeline management. This option is incorrect as it misattributes functionality unrelated to the AI Retriever.
✑ Option C: It automatically extracts and reformats raw data from diverse sources
into standardized datasets for use in historical trend analysis and forecasting.Data extraction and standardization are part of Data Cloud??s ingestion and harmonization processes (e.g., via Data Streams or Data Lake), not the AI Retriever??s function. The Retriever works with already-indexed data to fetch results, not to process or reformat raw data. This option is incorrect.
Why Option A is Correct:The AI Retriever??s core purpose is to perform contextual searches over indexed data, enabling AI grounding with reliable information. This is critical for Agentforce agents to provide accurate responses, as outlined in Data Cloud and Agentforce documentation.
References:
✑ Salesforce Data Cloud Documentation: AI Retriever – Describes its role in contextual searches for grounding.
✑ Trailhead: Data Cloud for Agentforce – Explains how the AI Retriever fetches relevant data for AI responses.
✑ Salesforce Help: Grounding with Data Cloud – Confirms the Retriever??s search functionality over indexed repositories.

For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?

1. A. Indexes the uploaded files in a location specified by the user
2. B. Indexes the uploaded files into Data Cloud
3. C. Indexes the uploaded files in Salesforce File Storage

Correct Answer: B
Comprehensive and Detailed In-Depth Explanation:In Salesforce Agentforce, a Data Library is a feature that allows organizations to upload files (e.g., PDFs, documents) to be used as grounding data for AI-driven agents. Once the Data Library is created and configured, the uploaded files are indexed to make their content searchable and usable by the AI (e.g., for retrieval-augmented generation or prompt enhancement). The key question is where this indexing occurs. Salesforce Agentforce integrates tightly with Data Cloud, a unified data platform that includes a vector database optimized for storing and indexing unstructured data like uploaded files. When a Data Library is set up, the files are ingested and indexed into Data Cloud??s vector database, enabling the AI to efficiently retrieve relevant information from them during conversations or actions.
✑ Option A: Indexing files in a "location specified by the user" is not a feature of Agentforce Data Libraries. The indexing process is managed by Salesforce infrastructure, not a user-defined location.
✑ Option B: This is correct. Data Cloud handles the indexing of uploaded files, storing them in its vector database to support AI capabilities like semantic search and content retrieval.
✑ Option C: Salesforce File Storage (e.g., where ContentVersion records are stored) is used for general file storage, but it does not inherently index files for AI use. Agentforce relies on Data Cloud for indexing, not basic file storage.
Thus, Option B accurately reflects the process after a Data Library is created and configured in Agentforce.
References:
✑ Salesforce Agentforce Documentation: "Set Up a Data Library" (Salesforce Help:
https://help.salesforce.com/s/articleView?id=sf.agentforce_data_library.htm&type= 5)
✑ Salesforce Data Cloud Documentation: "Vector Database for AI" (https://help.salesforce.com/s/articleView?id=sf.data_cloud_vector_database.htm& type=5)

When configuring a prompt template, an Agentforce Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response. Which information does the Resolution text provide?

1. A. It shows the full text that is sent to the Trust Layer.
2. B. It shows the response from the LLM based on the sample record.
3. C. It shows which sensitive data is masked before it is sent to the LLM.

Correct Answer: B
Comprehensive and Detailed In-Depth Explanation:In Salesforce Agentforce, when previewing a prompt template, the interface displays two outputs: Resolution and Response. These terms relate to how the prompt is processed and evaluated, particularly in the context of the Einstein Trust Layer, which ensures AI safety, compliance, and auditability. The Resolution text specifically refers to the full text that is sent to the Trust Layer for processing, monitoring, and governance (Option A). This includes the constructed prompt (with grounding data, instructions, and variables) as it??s submitted to the large language model (LLM), along with any Trust Layer interventions (e.g., masking, filtering) applied before or after LLM processing. It??s a comprehensive view of the input/output flow that the Trust Layer captures for auditing and compliance purposes.
✑ Option B: The "Response" output in the preview shows the LLM??s generated text based on the sample record, not the Resolution. Resolution encompasses more than just the LLM response—it includes the entire payload sent to the Trust Layer.
✑ Option C: While the Trust Layer does mask sensitive data (e.g., PII) as part of its guardrails, the Resolution text doesn??t specifically isolate "which sensitive data is masked." Instead, it shows the full text, including any masked portions, as processed by the Trust Layer—not a separate masking log.
✑ Option A: This is correct, as Resolution provides a holistic view of the text sent to the Trust Layer, aligning with its role in monitoring and auditing the AI interaction.
Thus, Option A accurately describes the purpose of the Resolution text in the prompt template preview.
References:
✑ Salesforce Agentforce Documentation: "Preview Prompt Templates" (Salesforce Help: https://help.salesforce.com/s/articleView?id=sf.agentforce_prompt_preview.htm&ty pe=5)
✑ Salesforce Einstein Trust Layer Documentation: "Trust Layer Outputs" (https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer.htm&type=5)