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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance & Observability | 10% | - AI governance
|
| Topic 2: Prompt Engineering | 20% | - Grounding techniques
|
| Topic 3: Data Cloud & Grounding | 20% | - Data integration for AI agents
|
| Topic 4: Testing, Deployment & Lifecycle | 15% | - Agent lifecycle management
|
| Topic 5: AI Agents | 35% | - Agent setup and orchestration
|
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NEW QUESTION # 44
Universal Containers has a custom Agent action calling a flow to retrieve the real-time status of an order from the order fulfillment system. For the given flow, what should the Agentforce Specialist consider about the running user's data access?
Answer: C
Explanation:
When a flow is invoked via a custom Agent action, its data access depends on the flow's runtime configuration, not system mode by default. Salesforce flows can be configured to respect the running user's permissions and sharing settings:
If the flow is set to "Run as the User Who Launched the Flow" (enabled in Flow Settings), it adheres to the user's permissions, field-level security (FLS), and sharing rules.
NEW QUESTION # 45
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 # 46
An Agentforce is creating a custom action for Agentforce. Which setting should the a ensure the action performs as expected?
Answer: C
Explanation:
When creating a custom action for Einstein Bots in Salesforce (including Agentforce), Action Instructions are critical for defining how the bot processes and executes the action. These instructions guide the bot on the logic to follow, such as API calls, data transformations, or conditional steps. Testing and iterating on the instructions ensures the bot understands how to handle dynamic inputs, external integrations, and decision-making.
Salesforce documentation emphasizes that Action Instructions directly impact the bot's ability to execute workflows accurately. For example, poorly defined instructions may lead to incorrect API payloads or failure to parse responses. The Einstein Bot Developer Guide highlights that refining instructions is essential for aligning the bot's behavior with business requirements.
NEW QUESTION # 47
Coral Cloud Resorts (CCR) uses Agentforce to assist customers with booking and service issues.
CCR wants to implement a triage process 50 that:
- High severity requests must be escalated to a human service rep.
- Lower severity requests should result in creating a support case for
the guest.
The requirement is to achieve the highest reliability and determinism in the response from the agent.
Which approach should an Agentforce Specialist recommend?
Answer: A
Explanation:
The AgentForce Conditional Logic and Triage Design Guide recommends using custom variables and deterministic filters for reliable decision-making in AI agents. The document explains: "For deterministic triage flows, create a variable (e.g., severityLevel) populated by an action or rule.
Then, apply filters so that specific actions execute only when the variable matches defined criteria. This approach guarantees predictable and auditable outcomes." In this case, severityLevel controls whether to escalate to a human rep or create a support case, ensuring no ambiguity in execution.
NEW QUESTION # 48
During configuration, Universal Containers (UC) forgot to grant Knowledge access to the Agentforce Service Agent. Which permission must UC add for the agent to interact with Knowledge articles and answer customer questions effectively?
Answer: B
Explanation:
According to the AgentForce for Service Configuration Guide, for an agent to interact with and retrieve Knowledge articles, it must have Knowledge object and field access, along with the
"Allow View Knowledge" permission. The documentation explains: "Agents need permission to access Knowledge records and their fields to retrieve and summarize content accurately.
Additionally, the Allow View Knowledge setting enables the agent to use the Knowledge object as a retrieval source."
NEW QUESTION # 49
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