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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Agentforce Specialist (AI-201) |
| Exam Number: | AI-201 |
| Real Exam Qty: | 60 multiple-choice questions + up to 5 unscored questions |
| Related Certifications: | Salesforce Platform App Builder Salesforce Platform Administrator Salesforce AI Specialist (retired) Salesforce AI Associate (retired) |
| Available Languages: | French, Japanese, English |
| Exam Duration: | 105 minutes |
| Exam Price: | USD 200 |
| Passing Score: | 72%-73% |
| Exam Format: | Multiple Select, Scenario-based Questions, Multiple Choice |
| Recommended Training: | Salesforce Trailhead Agentforce Learning Paths Agentforce Specialist Exam Prep |
| Exam Registration: | Salesforce Certification Registration Certification Exam Guide |
| Sample Questions: | Salesforce Agentforce-Specialist Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | None |
| Official Syllabus URL: | https://help.salesforce.com/s/articleView?id=005298924&type=1 |
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NEW QUESTION # 199
An Agentforce at Universal Containers is trying to set up a new Field Generation prompt template. They take the following steps.
1. Create a new Field Generation prompt template.
2. Choose Case as the object type.
3. Select the custom field AI_Analysis_c as the target field.
After creating the prompt template, the Agentforce Specialist saves, tests, and activates it. Howsoever, when they go to a case record, the AI Analysis field does not show the (Sparkle) icon on the Edit pencil. When the Agentforce Specialist was editing the field, it was behaving as a normal field.
Which critical step did the Agentforce Specialist miss?
Answer: C
Explanation:
For Field Generation prompt templates to display the Sparkle icon (indicating AI-generated content), the target field must be explicitly associated with the prompt template on the Lightning page layout. Even if the prompt template is activated, failing to add the field to the page layout and link it to the template will result in the field behaving as a standard field. Salesforce documentation emphasizes that page layout configuration is mandatory to enable AI-driven field interactions.
Reactivating the layout (A) is unnecessary unless the layout itself was modified after activation.
Case objects are supported for Field Generation (B is incorrect).
Reference:
Salesforce Help Article: Configure Field Generation Prompt Templates ("Associating Fields with Page Layouts" section).
Einstein GPT Implementation Guide: "Enabling AI-Generated Fields in Lightning Pages."
NEW QUESTION # 200
Universal Containers (UC) wants to enable its sales team to use AI to suggest recommended products from its catalog. Which type of prompt template should UC use?
Answer: C
Explanation:
UC needs an AI solution to suggest products from a catalog for its sales team. Let's assess the prompt template types in Prompt Builder.
* Option A: Record summary prompt templateRecord summary templates generate concise summaries of records (e.g., Case, Opportunity). They're not designed for product recommendations, which require dynamic logic beyond summarization, making this incorrect.
* Option B: Email generation prompt templateEmail generation templates craft emails (e.g., customer outreach). While they could mention products, they're not optimized for standalone recommendations, making this incorrect.
* Option C: Flex prompt templateFlex prompt templates are versatile, allowing custom inputs (e.g., catalog data from objects or Data Cloud) and instructions (e.g., "Suggest products based on customer preferences"). This flexibility suits UC's need to recommend products dynamically, making it the correct answer.
Why Option C is Correct:
Flex templates offer the customization needed to suggest products from a catalog, aligning with Salesforce's guidance for tailored AI outputs.
References:
Salesforce Agentforce Documentation: Prompt Builder > Flex Templates - Details dynamic use cases.
Trailhead: Build Prompt Templates in Agentforce - Covers Flex for custom scenarios.
Salesforce Help: Prompt Template Types - Confirms Flex versatility.
NEW QUESTION # 201
The Agentforce Specialist of Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer.
Which steps should the Agentforce Specialist take upon modifying the masked fields?
Answer: A
Explanation:
After modifying masked fields in Einstein's Trust Layer, the next important step is to test and confirm that the responses generated by prompts utilizing the newly masked data still meet quality standards. This ensures that masking sensitive information does not negatively impact the usefulness or accuracy of the AI-generated content. Thorough testing helps identify any issues in prompt performance that could arise due to masking, and adjustments can be made if needed.
Option B is correct because testing the effects of masking on AI responses is a critical step in ensuring AI continues to function as expected.
Option A (turning off and on the Einstein Trust Layer) is unnecessary after changing the masked fields.
Option C (turning on Einstein Feedback) allows for user feedback but is not a direct step following field masking modifications.
Salesforce Einstein Trust Layer Overview: https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer.htm
NEW QUESTION # 202
What is a valid use case for Data Cloud retrievers?
Answer: B
Explanation:
Comprehensive and Detailed In-Depth Explanation:Salesforce Data Cloud integrates with Agentforce to provide real-time, unified data access for AI-driven applications.Data Cloud retrieversare specialized components that fetch relevant data from Data Cloud's vector database-a storage system optimized for semantic search and retrieval-to enhance agent responses or actions. A valid use case, as described in Option A, is using these retrievers to return pertinent data (e.g., customer purchase history, support tickets) from the vector database to augment a prompt. This process, often part of Retrieval-Augmented Generation (RAG), allows the LLM to generate more accurate, context-aware responses by grounding its output in structured, searchable data stored in Data Cloud.
* Option B: Grounding data from external websites is not a primary function of Data Cloud retrievers.
While RAG can incorporate external data, Data Cloud retrievers specifically work with data within Salesforce's ecosystem (e.g., the vector database or harmonized data lakes), not arbitrary external websites. This makes B incorrect.
* Option C: Data Cloud retrievers are read-only mechanisms designed for data retrieval, not for modifying or updating source systems. Updates to source systems are handled by other Salesforce tools (e.g., Flows or Apex), not retrievers.
Option A is correct because it aligns with the core purpose of Data Cloud retrievers: enhancing prompts with relevant, vectorized data from within Salesforce Data Cloud.
References:
* Salesforce Data Cloud Documentation: "Data Cloud for Agentforce" (Salesforce Help:https://help.
salesforce.com/s/articleView?id=sf.data_cloud_agentforce.htm&type=5)
* Trailhead: "Data Cloud Basics" module (https://trailhead.salesforce.com/content/learn/modules/data- cloud-basics)
NEW QUESTION # 203
Universal Containers would like to route SMS text messages to a service rep from an Agentforce Service Agent. Which Service Channel should the company use in the flow to ensure it's routed properly?
Answer: A
Explanation:
Comprehensive and Detailed In-Depth Explanation:UC wants to route SMS text messages from an Agentforce Service Agent to a service rep using a flow. Let's identify the correct Service Channel.
* Option A: MessagingIn Salesforce, the "Messaging" Service Channel (part of Messaging for In-App and Web or SMS) handles text-based interactions, including SMS. When integrated with Omni-Channel Flow, the "Route Work" action uses this channel to route SMS messages to agents. This aligns with UC' s requirement for SMS routing, making it the correct answer.
* Option B: Route Work Action"Route Work" is an action in Omni-Channel Flow, not a Service Channel. It uses a channel (e.g., Messaging) to route work, so this is a component, not the channel itself, making it incorrect.
* Option C: Live Agent"Live Agent" refers to an older chat feature, not the current Messaging framework for SMS. It's outdated and unrelated to SMS routing, making it incorrect.
* Option D: SMS ChannelThere's no standalone "SMS Channel" in Salesforce Service Channels-SMS is encompassed within the "Messaging" channel. This is a misnomer, making it incorrect.
Why Option A is Correct:The "Messaging" Service Channel supports SMS routing in Omni-Channel Flow, ensuring proper handoff from the Agentforce Service Agent to a rep, per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Omni-Channel Integration > Messaging- Details SMS in Messaging channel.
* Trailhead: Omni-Channel Flow Basics- Confirms Messaging for SMS.
* Salesforce Help: Service Channels- Lists Messaging for text-based routing.
NEW QUESTION # 204
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