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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 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.

Topic 4

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.

Topic 5

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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Salesforce Certified AI Specialist Exam Sample Questions (Q76-Q81):

NEW QUESTION # 76
Universal Containers wants support agents to use Agentforce to ask questions about its product tutorials and product guides.
What should the AI Specialist do to meet this requirement?

A. Publish product tutorials and guides as Knowledge articles.
B. Add an Answer Questions custom field in the product object for tutorial instructions.
C. Create a prompt template for product tutorials and guides.

Answer: A

Explanation:
* Context of the QuestionUniversal Containers (UC) wants its support agents to use Agentforce to ask questions about product tutorials and product guides. Agentforce typically references knowledge sources to provide accurate and contextual responses.
* Why Knowledge Articles?
* Centralized Repository: Publishing product tutorials and guides as Knowledge articles in Salesforce ensures that the information is readily available and searchable by Agentforce.
* AI Integration: Salesforce's AI solutions, including Agentforce, can often be configured to pull content directly from Salesforce Knowledge articles, giving users on-demand answers without manual data duplication.
* Maintenance & Updates: Storing content in Salesforce Knowledge simplifies content updates, versioning, and user permissions.
* Why Not the Other Options?
* Option A (Create a Prompt Template): Creating a prompt template alone does not solve how the underlying content (tutorials, guides) is stored or accessed by Agentforce. Prompt templates shape the queries/responses but do not provide the knowledge base.
* Option B (Add an Answer Questions Custom Field): A single field on the product object is insufficient for the depth of information found in tutorials and guides. It also lacks the robust search and user-friendly interface that Knowledge articles provide.
* ConclusionTo ensure Agentforce can effectively retrieve and deliver accurate information about products,publishing product tutorials and guides as Knowledge articlesis the recommended approach.
Salesforce AI Specialist References & Documents
* Salesforce Documentation:Set Up Salesforce KnowledgeDiscusses how to publish articles for easy access by AI-driven assistants and support teams.
* Salesforce AI Specialist Study GuideExplains best practices for feeding knowledge sources to generative AI and Agentforce.

NEW QUESTION # 77
Which part of the Einstein Trust Layer architecture leverages an organization's own data within a large language model (LLM) prompt to confidently return relevant and accurate responses?

A. Prompt Defense
B. Data Masking
C. Dynamic Grounding

Answer: C

Explanation:
Dynamic Grounding in the Einstein Trust Layer architecture ensures that large language model (LLM) prompts are enriched with organization-specific data (e.g., Salesforce records, Knowledge articles) to generate accurate and relevant responses. By dynamically injecting contextual data into prompts, it reduces hallucinations and aligns outputs with trusted business data.
* Prompt Defense (A) focuses on blocking malicious inputs or prompt injections but does not enhance responses with organizational data.
* Data Masking (B) redacts sensitive information but does not contribute to grounding responses in business context.

NEW QUESTION # 78
Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases. UC is considering implementing Einstein Copilot and extending Service Cloud to mobile users.
When would Einstein Copilot implementation be most advantageous?

A. When the main objective is to enhance data security and compliance measures
B. When the focus is on optimizing marketing campaigns and strategies
C. When the goal is to streamline customer support processes and improve response times

Answer: C

Explanation:
Einstein Copilot implementation would be most advantageous in Salesforce Service Cloud when the goal is to streamline customer support processes and improve response times. Einstein Copilot can assist agents by providing real-time suggestions, automating repetitive tasks, and generating contextual responses, thus enhancing service efficiency.
Option B (data security) is not the primary focus of Einstein Copilot, which is more about improving operational efficiency.
Option C (marketing campaigns) falls outside the scope of Service Cloud and Einstein Copilot's primary benefits, which are aimed at improving customer service and case management.
For further reading, refer to Salesforce documentation on Einstein Copilot for Service Cloud and how it improves support processes.

NEW QUESTION # 79
Universal Container's internal auditing team asks an AI Specialist to verify that address information is properly masked in the prompt being generated.
How should the AI Specialist verify the privacy of the masked data in the Einstein Trust Layer?

A. Inspect the AI audit trail
B. Enable data encryption on the address field
C. Review the platform event logs

Answer: A

Explanation:
TheAI audit trailin Salesforce provides a detailed log of AI activities, including the data used, its handling, and masking procedures applied in the Einstein Trust Layer. It allows the AI Specialist to inspect and verify that sensitive data, such as addresses, is appropriately masked before being used in prompts or outputs.
* Enable data encryption on the address field: While encryption ensures data security at rest or in transit, it does not verify masking in AI operations.
* Review the platform event logs: Platform event logs capture system events but do not specifically focus on the handling or masking of sensitive data in AI processes.
* Inspect the AI audit trail: This is the most relevant option, as it provides visibility into how data is processed and masked in AI activities.

NEW QUESTION # 80
An administrator wants to check the response of the Flex prompt
template they've built, but the preview button is greyed out.
What is the reason for this?

A. The records related to the prompt have not been selected.
B. The prompt has not been saved and activated,
C. A merge field has not been inserted in the prompt.

Answer: A

Explanation:
When thepreview button is greyed outin a Flex prompt template, it is often because the records related to the prompt have not been selected. Flex prompt templates pull data dynamically from Salesforce records, and if there are no records specified for the prompt, it can't be previewed since there is no content to generate based on the template.
* Option B, not saving or activating the prompt, would not necessarily cause the preview button to be greyed out, but it could prevent proper functionality.
* Option C, missing a merge field, would cause issues with the output but would not directly grey out the preview button.
Ensuring that the related records are correctly linked is crucial for testing and previewing how the prompt will function in real use cases.
Salesforce AI Specialist References:Refer to the documentation on troubleshooting Flex templates here:
https://help.salesforce.com/s/articleView?id=sf.flex_prompt_builder_troubleshoot.htm

NEW QUESTION # 81
......

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