Salesforce-AI-Specialist Exam Topics & Examcollection Salesforce-AI-Specialist Dumps

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 3	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 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	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.

Salesforce Certified AI Specialist Exam Sample Questions (Q13-Q18):

NEW QUESTION # 13
An AI Specialist implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads basedon their interactions and data stored in Salesforce. The AI Specialist needsto configure the system to use the most accurate and up-to-date information for email generation.
Which grounding technique should the AI Specialist use?

A. Ground with Apex Merge Fields
B. Automatic grounding using Draft with Einstein feature
C. Ground with Record Merge Fields

Answer: C

Explanation:
ForEinstein Sales Emailsto generate personalized follow-up emails, it is crucial to ground the email content with the most up-to-date and accurate information. Grounding refers to connecting the AI model with real- time data. The most appropriate technique in this case isGround with Record Merge Fields. This method ensures that the content in the emails pulls dynamic and accurate data directly from Salesforce records, such as lead or contact information, ensuring the follow-up is relevant and customized based on the specific record.
* Record Merge Fieldsensure the generated emails are highly personalized using data like lead name, company, or other Salesforce fields directly from the records.
* Apex Merge Fieldsare typically more suited for advanced, custom logic-driven scenarios but are not the most straightforward for this use case.
* Automatic grounding using Draft with Einsteinis a different feature where Einstein automatically drafts the email, but it does not specifically ground the content with record-specific data likeRecord Merge Fields.
References:
* Salesforce Einstein Sales Emails Documentation:https://help.salesforce.com/s/articleView?id=release- notes.rn_einstein_sales_emails.htm

NEW QUESTION # 14
Which configuration must an AI Specialist complete for users to access generative Al-enabled fields in the Salesforce mobile app?

A. Enable Mobile Prompt Responses.
B. Enable Mobile Generative AI.
C. Enable Dynamic Forms on Mobile.

Answer: B

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 Forms allow 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 on Dynamic Forms on Mobile and adding those fields to the dynamic layout. Therefore, Option C is 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 # 15
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. Create concise, clear, and consistent prompt templates with effective grounding, contextual role- playing, clear instructions, and iterative feedback.
C. 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.

Answer: B

Explanation:
ForUniversal Containers (UC)to refine itsGenerative AIprompt design strategy and improve the accuracy of the generated summaries for the custom objectGuest, the best practice is to focus on craftingconcise, 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 Bis 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.
References:
* Salesforce Prompt Design Best Practices:https://help.salesforce.com/s/articleView?id=sf.
prompt_design_best_practices.htm

NEW QUESTION # 16
Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements.
What should an AI Specialist recommend to resolve the issue?

A. Configure data masking in the Einstein Trust Layer setup.
B. Add new data masking rules in LLM setup.
C. Enable data masking for sandbox refreshes.

Answer: A

Explanation:
WhenUniversal Containers' AI data masking rulesdo not meet organizational privacy and security standards, the AI Specialist should configure thedata maskingrules within theEinstein Trust Layer. The Einstein Trust Layerprovides a secure and compliant environment where sensitive data can be masked or anonymized to adhere to privacy policies and regulations.
* Option A, enabling data masking for sandbox refreshes, is related to sandbox environments, which are separate from how AI interacts with production data.
* Option C, adding masking rules in the LLM setup, is not appropriate because data masking is managed through theEinstein Trust Layer, not the LLM configuration.
The Einstein Trust Layer allows for more granular control over what data is exposed to the AI model and ensures compliance with privacy regulations.
Salesforce AI Specialist References:For more information, refer to:https://help.salesforce.com/s/articleView?
id=sf.einstein_trust_layer_data_masking.htm

NEW QUESTION # 17
A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to write the emails, and wants to reuse templates for different products and customers.
Which solution approach should the admin leverage?

A. Create a t field Generation prompt template type
B. Create a Sales Email prompt template type.
C. Use sales Email standard templates

Answer: B

NEW QUESTION # 18
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Salesforce-AI-Specialist Exam Topics & Examcollection Salesforce-AI-Specialist Dumps

Salesforce-AI-Specialist test study engine & Salesforce-AI-Specialist training questions & Salesforce-AI-Specialist valid practice material

Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Salesforce Certified AI Specialist Exam Sample Questions (Q13-Q18):

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