100% PASS 2025 FIRST-GRADE SALESFORCE SALESFORCE-AI-SPECIALIST: RELIABLE SALESFORCE CERTIFIED AI SPECIALIST EXAM EXAM SYLLABUS

100% Pass 2025 First-grade Salesforce Salesforce-AI-Specialist: Reliable Salesforce Certified AI Specialist Exam Exam Syllabus

100% Pass 2025 First-grade Salesforce Salesforce-AI-Specialist: Reliable Salesforce Certified AI Specialist Exam Exam Syllabus

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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.
Topic 4
  • 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.
Topic 5
  • 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.

Salesforce Certified AI Specialist Exam Sample Questions (Q77-Q82):

NEW QUESTION # 77
Universal Containers wants to incorporate the current order fulfillment status into a prompt for a large language model (LLM). The order status is stored in the external enterprise resource planning (ERP) system.
Which data grounding technique should the AI Specialist recommend?

  • A. Eternal Object Record Merge Fields
  • B. External Services Merge Fields
  • C. Apex Merge Fields

Answer: A

Explanation:
* Context of the Requirement:Universal Containers wants to pull in real-time order status data from an external ERP system into an LLM prompt.
* Data Grounding in LLM Prompts:Data grounding ensures the Large Language Model has access to the most current and relevant information. In Salesforce, one recommended approach is to useExternal Objects(via Salesforce Connect) when data resides outside of Salesforce.
* Why External Object Record Merge Fields:
* External Objectsappear much like standard or custom objects but map to tables in external systems.
* You can reference fields from these External Objects in merge fields, allowing real-time data retrieval from the external ERP system without storing that data natively in Salesforce.
* This is a simpler "point-and-reference" approach compared to coding custom Apex or configuring external services for direct prompt embedding.
* Why Not External Services Merge Fields or Apex Merge Fields:
* External Services Merge Fieldstypically leverage flows or external service definitions. While feasible, it is more about orchestrating or invoking external services for automation (e.g., Flow).
It's not the standard approach for seamlessly referencingexternal recorddata in prompt merges.
* Apex Merge Fieldswould imply custom Apex code controlling the prompt insertion. While possible, it's less "clicks not code" friendly and is not the default method for referencing typical record data.
* References and Study Resources:
* Salesforce Help & Training#Salesforce Connect and External Objects
* Salesforce Trailhead#"Integrate External Data with Salesforce Connect"
* Salesforce AI Specialist Study Resources(documentation regarding how to ground LLM prompts using External Objects)


NEW QUESTION # 78
Which mechanism within the Einstein Trust Layer helps to ensure that personal data is handled in compliance with data protection regulations like GDPR?

  • A. Toxicity Scoring
  • B. Data Masking
  • C. Prompt Defense

Answer: B


NEW QUESTION # 79
Universal Containers wants to implement a solution in Salesforce with a custom UX that allows users to enter a sales order number.
Subsequently, the system will invoke a custom prompt template to create and display a summary of the sales order header and sales order details.
Which solution should an AI Specialist implement to meet this requirement?

  • A. Create a screen flow to collect sales order number and invoke the prompt template using the standard "Prompt Template" flow action.
  • B. Create a template-triggered prompt flow and invoke the prompt template using the standard "Prompt Template" flow action.
  • C. Create an autolaunched flow and invoke the prompt template using the standard "Prompt Template" flow action.

Answer: A

Explanation:
To implement a solution where users enter a sales order number and the system generates a summary, the AI Specialist should create a screen flow to collect the sales order number and invoke the prompt template. The standard "Prompt Template" flow action can then be used to trigger the custom prompt, providing a summary of the sales order header and details.
Option B, creating a template-triggered prompt flow, is not necessary for this scenario because the requirement is to directly collect input through a screen flow.
Option C, using an autolaunched flow, would be inappropriate here because the solution requires user interaction (entering a sales order number), which is best suited to a screen flow.
Salesforce AI Specialist Reference:
For further guidance on creating prompt templates with flows: https://help.salesforce.com/s/articleView?id=sf.prompt_template_flow_integration.htm


NEW QUESTION # 80
Universal Containers (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information.
In refining its prompt design strategy, which key practices should UC prioritize?

  • A. Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.
  • B. Enable prompt test mode, allocate different prompt variations to a subset of users for evaluation, and standardize the most effective model based on performance feedback.
  • C. Create concise, clear, and consistent prompt templates with effective grounding, contextual role-playing, clear instructions, and iterative feedback.

Answer: C

Explanation:
For Universal Containers (UC) to refine its Generative AI prompt design strategy and improve the accuracy of the generated summaries for the custom object Guest, the best practice is to focus on crafting concise, clear, and consistent prompt templates. This includes:
Effective grounding: Ensuring the prompt pulls data from the correct sources.
Contextual role-playing: Providing the AI with a clear understanding of its role in generating the summary.
Clear instructions: Giving unambiguous directions on what to include in the response.
Iterative feedback: Regularly testing and adjusting prompts based on user feedback.
Option B is correct because it follows industry best practices for refining prompt design.
Option A (prompt test mode) is useful but less relevant for refining prompt design itself.
Option C (prompt review case with Salesforce) would be more appropriate for technical issues or complex prompt errors, not general design refinement.
Reference:
Salesforce Prompt Design Best Practices: https://help.salesforce.com/s/articleView?id=sf.prompt_design_best_practices.htm


NEW QUESTION # 81
An AI Specialist built a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors.
What is the cause of the random nature of this error?

  • A. The template type needs to be switched to Flex to accommodate the variable amount of tokens generated by the prompt grounding.
  • B. The number of tokens that can be processed by the LLM varies with total user demand.
  • C. The number of tokens generated by the dynamic nature of the prompt template will vary by record.

Answer: C


NEW QUESTION # 82
......

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