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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:
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.
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.
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
- 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 5
- 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.
Salesforce Certified AI Specialist Exam Sample Questions (Q118-Q123):
NEW QUESTION # 118
An AI Specialist configured Data Masking within the Einstein Trust Layer.
How should the AI Specialist begin validating that the correct fields are being masked?
- A. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.
- B. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.
- C. Use a Flow-based resource in Prompt Builder to debug the fields' merge values using Flow Debugger.
Answer: A
Explanation:
To begin validating that the correct fields are being masked in Einstein Trust Layer, the AI Specialist should request the Einstein Generative AI Audit Data from the Security section of the Salesforce Setup menu.
This audit data allows the AI Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected.
* Option B is correct because it allows for the retrieval of audit data that can be used to validate data masking.
* Option A (Flow Debugger) and Option C (Einstein Feedback) do not relate to validating field masking in the context of the Einstein Trust Layer.
References:
* Salesforce Einstein Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer_audit.htm
NEW QUESTION # 119
Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein's generative AI service.
No data is used for LLM training or product improvements by third- party LLMs.
No data is retained outside of UC's Salesforce org.
The data sent cannot be accessed by the LLM provider.
Which property of the Einstein Trust Layer should the AI Specialist highlight to UC that addresses these requirements?
- A. Zero-Data Retention Policy
- B. Prompt Defense
- C. Data Masking
Answer: A
Explanation:
Universal Containers (UC) has concerns about data privacy when using Salesforce's generative AI features, particularly around preventing third-party LLMs from accessing or retaining their data. The Zero-Data Retention Policy in the Einstein Trust Layer is designed to address these concerns by ensuring that:
No data is used for training or product improvements by third-party LLMs.
No data is retained outside of the customer's Salesforce organization.
The LLM provider cannot access any customer data.
This policy aligns perfectly with UC's requirements for keeping their data safe while leveraging generative AI capabilities.
Prompt Defense and Data Masking are also security features, but they do not directly address the concerns related to third-party data access and retention.
Reference:
Salesforce Einstein Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer.htm
NEW QUESTION # 120
What does it mean when a prompt template version is described as immutable?
- A. Prompt template version is activated; no further changes can be saved to that version.
- B. Only the latest version of a template can be activated.
- C. Every modification on a template will be saved as a new version automatically.
Answer: A
Explanation:
When a prompt template version is immutable, it means that once the version is activated, it cannot be edited or modified. This ensures consistency in production environments where changes could disrupt workflows.
* Option A is incorrect: Any version (not just the latest) can be activated, depending on the use case.
* Option D is incorrect: Modifications require manually creating a new version; automatic versioning is not enforced.
* Option C is correct: Activation locks the version, enforcing immutability.
References:
* Salesforce Help: Prompt Template Versioning
* States that "activated prompt template versions are immutable and cannot be edited."
NEW QUESTION # 121
Universal Containers (UC) is looking to improve its sales team's productivity by providing real-time insights and recommendations during customer interactions.
Why should UC consider using Agentforce Sales Agent?
- A. To track customer interactions for future analysis
- B. To automate the entire sales process for maximum efficiency
- C. To streamline the sales process and increase conversion rates
Answer: C
Explanation:
Agentforce Sales Agent provides real-time insights and AI-powered recommendations, which are designed to streamline the sales process and help sales representatives focus on key tasks to increase conversion rates.
It offers features like lead scoring, opportunity prioritization, and proactive recommendations, ensuring that sales teams can interact with customers efficiently and close deals faster.
* Option A: While tracking customer interactions is beneficial, it is only part of the broader capabilities offered by Agentforce Sales Agent and is not the primary objective for improving real-time productivity.
* Option B: Agentforce Sales Agent does not automate the entire sales process but provides actionable recommendations to assist the sales team.
* Option C: This aligns with the tool's core purpose of enhancing productivity and driving sales success.
NEW QUESTION # 122
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 # 123
......
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