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Salesforce Certified AI Specialist Exam Sample Questions (Q41-Q46):

NEW QUESTION # 41
Universal Containers needs its sales reps to be able to only execute prompt templates.
What should an AI Specialist recommend to achieve this requirement?

  • A. Prompt Template Manager permission set
  • B. Prompt Template user permission set
  • C. Prompt Execute Template permission set

Answer: C

Explanation:
Prompt Execute Template permission set: This permission set is specifically designed to allow users to execute existing prompt templates. This is exactly what Universal Containers needs for its sales reps.
Prompt Template user permission set: This permission set likely grants broader access, including potentially creating or modifying templates, which is not required in this scenario.
Prompt Template Manager permission set: This permission set likely grants even more extensive administrative access to prompt templates, going beyond what the sales reps need.
By granting sales reps the "Prompt Execute Template" permission set, you ensure they have the necessary access to use prompt templates without granting unnecessary permissions that could potentially lead to unintended changes or security risks.


NEW QUESTION # 42
An Al Specialist is creating a custom action for Agentforce.
Which setting should the AI Specialist test and iterate on to ensure the action performs as expected?

  • A. Action Name
  • B. Action Input
  • C. Action Instructions

Answer: C

Explanation:
To ensure a custom action in Agentforce performs as expected, the AI Specialist must focus on Action Instructions. Here's why:
* Action Instructions define the logic, parameters, and steps the AI should follow to execute the action.
They include:
* How input data is processed.
* API calls or Apex invocations.
* Conditional logic (e.g., decision trees).Testing and iterating on these instructions ensures alignment with the intended workflow. For example, incorrect API endpoint references or misconfigured parameters in the instructions will cause failures.
* Action Input (Option A) refers to the data provided to the action. While validating input formats is important, inputs are static once defined. The primary issue lies in whether the instructions correctly use the inputs.
* Action Name (Option B) is a descriptive label and does not affect functionality.
Salesforce Documentation Support:
* Salesforce Einstein Bots & Custom Actions Guide highlights that Action Instructions are where the
"core logic" resides, requiring rigorous testing (Source: Einstein Bots Developer Guide).
* Trailhead Module "Build Custom Actions for Einstein Bots" emphasizes refining instructions to handle edge cases and validate outputs (Source: Trailhead).
By iterating on Action Instructions, the AI Specialist ensures the action's logic, integrations, and error handling are robust.


NEW QUESTION # 43
An administrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM dat a. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt.
Which feature in the Einstein Trust Layer best supports UC's need?

  • A. Data masking
  • B. Dynamic grounding with secure data retrieval
  • C. Zero-data retention policy

Answer: B

Explanation:
Dynamic grounding with secure data retrieval is a key feature in Salesforce's Einstein Trust Layer, which provides enhanced data protection and ensures that AI-generated outputs are both accurate and securely sourced. This feature allows relevant Salesforce data to be merged into the AI-generated responses, ensuring that the AI outputs are contextually aware and aligned with real-time CRM data.
Dynamic grounding means that AI models are dynamically retrieving relevant information from Salesforce records (such as customer records, case data, or custom object data) in a secure manner. This ensures that any sensitive data is protected during AI processing and that the AI model's outputs are trustworthy and reliable for business use.
The other options are less aligned with the requirement:
Data masking refers to obscuring sensitive data for privacy purposes and is not related to merging Salesforce records into prompts.
Zero-data retention policy ensures that AI processes do not store any user data after processing, but this does not address the need to merge Salesforce record information into a prompt.
Reference:
Salesforce Developer Documentation on Einstein Trust Layer
Salesforce Security Documentation for AI and Data Privacy


NEW QUESTION # 44
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. A merge field has not been inserted in the prompt.
  • B. The prompt has not been saved and activated,
  • C. The records related to the prompt have not been selected.

Answer: C

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 # 45
Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?

  • A. Service Replies
  • B. Case Escalation
  • C. Case Summaries

Answer: A

Explanation:
* Service Replies: This generative AI feature automates and assists in generating accurate, contextual, and efficient replies for customer service agents. It uses past interactions, case data, and the context of the conversation to provide draft responses, thereby enhancing productivity and reducing response times.
* Case Summaries: Summarizes case information but does not assist directly in replying to customer chats.
* Case Escalation: Refers to moving cases to higher-level support teams but does not address the need to improve chat response productivity.
Thus,Service Repliesis the best feature for this requirement as it directly aligns with improving agent efficiency in replying to chats.


NEW QUESTION # 46
......

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