Valid Salesforce Salesforce-AI-Specialist Exam Syllabus - Salesforce-AI-Specialist Sample Exam
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| Topic |
Details |
| Topic 1 |
- Agentforce Tools: In this topic, AI specialists get knowledge using agents when it is appropriate. Moreover, the topic explains the working of agents and reasoning engine powers Agentforce. Lastly, the topic focuses on managing and monitoring agent adoption.
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| Topic 2 |
- Prompt Builder: This section evaluates the expertise of AI specialists working with Salesforce's AI tools. It focuses on the Prompt Builder feature, requiring candidates to understand its usage based on business needs.
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| Topic 3 |
- Einstein Trust Layer: This section evaluates the skills of Salesforce AI specialists responsible for implementing security protocols and safeguarding data privacy. It emphasizes the security, privacy, and foundational features of the Einstein Trust Layer.
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| Topic 4 |
- Model Builder: This portion of the exam focuses on Salesforce AI specialists' expertise in working with AI models within Salesforce environments. Candidates will need to demonstrate knowledge of when to use the Model Builder and how to configure standard, custom, or Bring Your Own Large Language Model (BYOLLM) generative models to meet business needs.
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| Topic 5 |
- Generative AI in CRM Applications: This part of the exam assesses AI specialists’ knowledge of generative AI within CRM systems. It covers the use of generative AI features in Einstein for Sales and Einstein for Service.
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>> Valid Salesforce Salesforce-AI-Specialist Exam Syllabus <<
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Salesforce Certified AI Specialist Exam Sample Questions (Q38-Q43):
NEW QUESTION # 38
Universal Containers is rolling out a new generative AI initiative.
Which Prompt Builder limitations should the AI Specialist be aware of?
- A. Custom objects are supported only for Flex template types.
- B. Rich text area fields are only supported in Flex template types.
- C. Creations or updates to the prompt templates are not recorded in the Setup Audit Trail.
Answer: A
Explanation:
ThePrompt Builderin Salesforce has some specific limitations, one of which is thatcustom objects aresupportedonly for Flex template types. This means that users must rely on Flex templates to integrate custom objects into their prompts.
* Option A: While rich text area fields have certain restrictions, this does not pertain to the core limitation of integrating custom objects.
* Option B: Updates and creations for prompt templates are indeed recorded in the Setup Audit Trail, so this statement is incorrect.
* Option C: This is the correct answer as it reflects a documented limitation of the Prompt Builder.
NEW QUESTION # 39
Which configuration must an AI Specialist complete for users to access generative Al-enabled fields in the Salesforce mobile app?
- A. Enable Mobile Generative AI.
- B. Enable Mobile Prompt Responses.
- C. Enable Dynamic Forms on Mobile.
Answer: C
Explanation:
* Context of the Question
* Universal Containers (UC) has generative AI-enabled fields that users can access in the desktop experience.
* The AI Specialist needs these same fields to be visible and usable in the Salesforce Mobile App.
* Why Dynamic Forms on Mobile?
* Dynamic Formsallow you to configure record pages so that fields and sections can appear or be hidden based on certain criteria.
* When you enable "Dynamic Forms for Mobile," any generative AI-enabled fields placed on the dynamic layout become accessible in the Salesforce mobile experience.
* There is no standard Setup option labeled "Enable Mobile Generative AI" or "Enable Mobile Prompt Responses" as a universal toggle; the existing official approach is to ensure dynamic forms (and the relevant fields) are supported on mobile.
* Conclusion
* Ensuring that these AI-driven fields are visible on mobile is accomplished by turning onDynamic Forms on Mobileand adding those fields to the dynamic layout. Therefore,Option Cis correct.
Salesforce AI Specialist References & Documents
* Salesforce Documentation:Dynamic Forms OverviewExplains how to enable Dynamic Forms for both desktop and mobile UIs, allowing newly added fields (including generative AI-enabled ones) to display in the Salesforce Mobile App.
* Salesforce AI Specialist Study GuideReiterates that to expose generative AI fields or components in mobile, you must configure dynamic forms and ensure compatibility on mobile layouts.
NEW QUESTION # 40
An AI Specialist has grounded a prompt template with a related list. During user acceptance testing (UAT).
users are not getting the correct responses.
What is causing this issue?
- A. The related list prompt template option is not enabled.
- B. The related list is not on the parent object's page layout.
- C. The related list is Read Only.
Answer: A
Explanation:
When grounding a prompt template with a related list, the AI must be explicitly configured to include the related list's data. If the "related list prompt template option" is not enabled, the AI ignores the related list, leading to incomplete or incorrect responses.
* Option A: Page layout visibility affects user interface display but does not restrict data access for AI grounding.
* Option B: Read-only settings prevent edits but not data retrieval.
* Option C: Enabling the related list in the prompt template configuration is mandatory for the AI to use its data.
References:
* Salesforce Help: Prompt Template Grounding Settings
* States that "related lists must be enabled in the prompt template's grounding settings to include their data in AI responses."
NEW QUESTION # 41
Universal Containers implements three custom actions to get three distinct types of sales summaries for its users. Users are complaining that they are not getting the right summary based on their utterances. What should the AI Specialist investigate as the root cause?
- A. Review that the custom action Is assigned to an Agent.
- B. Review the action Instructions to ensure they are unique.
- C. Ensure the input and output types are correctly chosen.
Answer: B
Explanation:
The root cause of users receiving incorrect sales summaries lies in non-unique action instructions (Option B). In Einstein Bots, custom actions are triggered based on how well user utterances align with the action instructions defined for each action. If the instructions for the three custom actions overlap or lack specificity, the bot's natural language processing (NLP) cannot reliably distinguish between them, leading to mismatched responses.
Steps to Investigate:
* Review Action Instructions: Ensure each custom action has distinct, context-specific instructions. For example:
* Action 1: "Summarize quarterly sales by region."
* Action 2: "Generate a product-wise sales breakdown for the current fiscal year."
* Action 3: "Provide a comparison of sales performance between online and in-store channels." Ambiguous or overlapping instructions (e.g., "Get sales summary") cause confusion.
* Test Utterance Matching: Use Einstein Bot's training tools to validate if user utterances map to the correct action. Overlap indicates instruction ambiguity.
* Refine Instructions: Incorporate keywords or phrases unique to each sales summary type to improve intent detection.
Why Other Options Are Incorrect:
* A. Assigning actions to an agent is irrelevant, as custom actions are automated bot components.
* C. Input/output types relate to data formatting, not intent routing. While important for execution, they don't resolve utterance mismatches.
References:
* Einstein Bot Developer Guide: Stresses the need for unique action instructions to avoid intent conflicts.
* Trailhead Module: "Build AI-Powered Bots with Einstein" highlights instruction specificity for accurate action triggering.
* Salesforce Help Documentation: Recommends testing and refining action instructions to ensure clarity in utterance mapping.
NEW QUESTION # 42
How should an organization use theEinstein Trust layer to audit,track, and view masked data?
- A. Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud.
- B. Access the audit trail in Setup and export all user-generated prompts.
- C. In Setup, use Prompt Builder to send a prompt to the LLM requesting for the masked data.
Answer: A
Explanation:
TheEinstein Trust Layeris designed to ensure transparency, compliance, and security for organizations leveraging Salesforce's AI and generative AI capabilities. Specifically, for auditing, tracking, and viewing masked data, organizations can utilize:
* Audit Trail in Data Cloud: Theaudit trailcaptures and stores all prompts submitted to large language models (LLMs), ensuring that sensitive or masked data interactions are logged. This allows organizations to monitor and audit all AI-generated outputs, ensuring that data handling complies with internal and regulatory guidelines. TheData Cloudprovides the infrastructure for managing and accessing this audit data.
* Why not B?UsingPrompt Builderin Setup to send prompts to the LLM is for creating and managing prompts, not for auditing or tracking data. It does not interact directly with the audit trail functionality.
* Why not C?Although the audit trail can be accessed in Setup, the user-generated prompts are primarily tracked in the Data Cloud for broader control, auditing, and analysis. Setup is not the primary tool for exporting or managing these audit logs.
More information on auditing AI interactions can be found in theSalesforce AI Trust Layerdocumentation, which outlines how organizations can manage and track generative AI interactions securely.
NEW QUESTION # 43
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