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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Prompt Engineering | 30% | - Prompt Builder & Template Creation
|
| Topic 2: Reasoning Engine & AI Actions | - Workflow mastery
| |
| Topic 3: Einstein Trust Layer & Security | - Data Masking
| |
| Topic 4: Agent Force Concepts | 30% | - Data Cloud & Grounding Techniques
|
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NEW QUESTION # 19
In the context of retriever and search indexes, what best describes the data preparation process in Data Cloud?
Answer: A
Explanation:
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
Raw text from documents, emails, chat transcripts, and Knowledge articles is loaded into Data Cloud.
Chunking (Breaking Text into Small Parts)
AI divides long-form text into retrievable chunks to improve response accuracy.
Example: A 1000-word article might be split into multiple indexed paragraphs.
Vectorization (Transforming Text for AI Retrieval)
Each text chunk is converted into numerical vector embeddings.
This enables faster AI-powered searches based on semantic meaning, not just keywords.
Storing in a Vector Database
The processed data is stored in a search-optimized vector format.
Agentforce AI retrievers use this data to find relevant responses quickly.
NEW QUESTION # 20
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?
Answer: C
Explanation:
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.
NEW QUESTION # 21
What is the primary function of the planner service in the Agent system?
Answer: B
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 # 22
An Agentforce Specialist at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time, UC wants to help prep the sales team for calls by:
- Summarizing past purchases
- Displaying products the contact has shown interest in (with data
captured via Data Cloud)
- Providing a recap of past email and phone conversations that have
transcripts
Which approach should the Agentforce Specialist recommend to achieve this goal?
Answer: A
Explanation:
The AgentForce No-Code Builder and Prompt Template Guide specifies that when using Salesforce's standard foundation models, users can ground prompts on CRM and Data Cloud data without requiring fine-tuning or model deployment. The documentation notes: "No-code users can leverage standard foundation models with prompt templates grounded in Salesforce data, including CRM and Data Cloud, to summarize records, highlight insights, and prepare agents for customer engagements." This approach allows the sales operations team to automatically summarize customer data (purchases, interests, and communications) without needing model customization.
NEW QUESTION # 23
After creating a foundation model in Einstein Studio, which hyperparameter should An Agentforce use to adjust the balance between consistency and randomness of a response?
Answer: C
Explanation:
The Temperature hyperparameter controls the randomness of model outputs:
Low Temperature (e.g., 0.2): More deterministic, consistent responses.
High Temperature (e.g., 1.0): More creative, varied responses.
NEW QUESTION # 24
......
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