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Quiz Salesforce - Salesforce-AI-Specialist - Unparalleled Latest Salesforce Certified AI Specialist Exam Material

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 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	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.

Salesforce Certified AI Specialist Exam Sample Questions (Q85-Q90):

NEW QUESTION # 85
Universal Containers (UC) wants to create a new Sales Email prompt template in Prompt Builder using the "Save As" function. However, UC notices that the new template produces different results compared to the standard Sales Email prompt due to missing hyperparameters.
What should UC do to ensure the new prompt template produces results comparable to the standard Sales Email prompts?

A. Manually add the hyperparameters to the new template.
B. Revert to using the standard template without modifications.
C. Use Model Playground to create a model configuration with the specified parameters.

Answer: A

Explanation:
When Universal Containers creates a new Sales Email prompt template using the "Save As" function, missing hyperparameters can result in different outputs. To ensure the new prompt produces comparable results to the standard Sales Email prompt, the AI Specialist should manually add the necessary hyperparameters to the new template.
Hyperparameters like Temperature, Frequency Penalty, and Presence Penalty directly affect how the AI generates responses. Ensuring that these are consistent with the standard template will result in similar outputs.
Option A (Model Playground) is not necessary here, as it focuses on fine-tuning models, not adjusting templates directly.
Option C (Reverting to the standard template) does not solve the issue of customizing the prompt template.
For more information, refer to Prompt Builder documentation on configuring hyperparameters in custom templates.

NEW QUESTION # 86
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. Add new data masking rules in LLM setup.
B. Configure data masking in the Einstein Trust Layer setup.
C. Enable data masking for sandbox refreshes.

Answer: B

Explanation:
When Universal Containers' AI data masking rules do not meet organizational privacy and security standards, the AI Specialist should configure the data masking rules within the Einstein Trust Layer. The Einstein Trust Layer provides 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 the Einstein 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 # 87
Universal Container (UC) has effectively utilized prompt templates to update summary fields on Lightning record pages. An admin now wishes to incorporate similar functionality into UC's automation process using Flow.
How can the admin get a response from this prompt template from within a flow to use as part of UC's automation?

A. Invocable Apex
B. Flow Action
C. Einstein for Flow

Answer: B

Explanation:
* Context of the Question
* Universal Container (UC) has used prompt templates to update summary fields on record pages.
* Now, the admin wants to incorporate similar generative AI functionality within a Flow for automation purposes.
* How to Call a Prompt Template Within a Flow
* Flow Action: Salesforce provides a standard way to invoke generative AI templates or prompts within a Flow step. From the Flow Builder, you can add an "Action" that references the prompt template you created in Prompt Builder.
* Other Options:
* Invocable Apex: Possible fallback if there's no out-of-the-box Flow Action available.
However, Salesforce is releasing native Flow integration for AI prompts, making custom Apex less necessary.
* Einstein for Flow: A broad label for Salesforce's generative AI features within Flow.
Under the hood, you typically use a "Flow Action" that points to your prompt.
* Conclusion
* The easiest out-of-the-box solution is to use aFlow Actionreferencing the prompt template.
Hence,Option Bis correct.
Salesforce AI Specialist References & Documents
* Salesforce Trailhead:Use Prompt Templates in FlowDemonstrates how to add an Action in Flow that calls a prompt template.
* Salesforce Documentation:Einstein GPT for FlowExplains standard flow actions to invoke and handle generative AI responses.

NEW QUESTION # 88
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 goal is to streamline customer support processes and improve response times
C. When the focus is on optimizing marketing campaigns and strategies

Answer: B

Explanation:
Einstein Copilotimplementation would be most advantageous inSalesforce Service Cloudwhen 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 toSalesforce documentation on Einstein Copilot for Service Cloudand how it improves support processes.

NEW QUESTION # 89
Universal Containers implemented Agentforce for its users. One user complains that an Agent is not deleting activities from the past 7 days. What is the reason for this issue?

A. Agentforce Delete Record Action permission is not associated to the user.
B. Agentforce does not have the permission to delete the user's records.
C. Agentforce does not have a standard Delete Record action.

Answer: C

Explanation:
* Context of the QuestionUniversal Containers (UC) uses Agentforce, a specialized AI-driven assistant for Salesforce. A user reports that an Agent is unable to delete recent activities.
* Why Agentforce Cannot Delete Records
* Agentforce's Standard Actions: Agentforce typically has predefined or "standard" actions like Create, Update, or Summarize records. However, a standard Delete Record action is not part of the default set of Agentforce actions.
* Implication: If Agentforce has no built-in delete functionality, it cannot remove activities-even if the user has permission to delete them in the Salesforce UI.
* Why Other Options Are Incorrect
* Option A - Permission to Delete the User's Records: Standard Salesforce user permissions do not automatically extend to Agentforce's capabilities. Even if the user can delete records, that doesn't grant Agentforce a new action.
* Option B - Agentforce Delete Record Action Permission: There is no separate "Delete Record Action permission" for Agentforce to be toggled. The relevant issue is that the standard Delete Record action does not exist within Agentforce out of the box.
* ConclusionThe core reason for the issue is thatAgentforce does not support a standard Delete Record action(Choice C).
Salesforce AI Specialist References & Documents
* Salesforce Official Documentation - Agentforce(Note: Agentforce may be a pilot or specialized feature; check pilot release notes or official docs for standard actions.)
* Salesforce AI Specialist Study GuideCovers the limitations of certain AI-enabled features regarding record operations.

NEW QUESTION # 90
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Real Salesforce Salesforce-AI-Specialist Questions with Free Updates–BUY NOW

Quiz Salesforce - Salesforce-AI-Specialist - Unparalleled Latest Salesforce Certified AI Specialist Exam Material

Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Salesforce Certified AI Specialist Exam Sample Questions (Q85-Q90):

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