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Title: Salesforce-AI-Specialist Exam Review - Salesforce-AI-Specialist Test Engine Vers
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Salesforce Certified AI Specialist Exam Sample Questions (Q44-Q49):NEW QUESTION # 44
Universal Containers implemented Einstein Copilot for its users.
One user complains that Einstein Copilot is not deleting activities from the past 7 days.
What is the reason for this issue?
Answer: B
Explanation:
Einstein Copilot currently supports various actions like creating and updating records but does not support the Delete Recordaction. Therefore, the user's request to delete activities from the past 7 days cannot be fulfilled using Einstein Copilot.
* Unsupported Action:The inability to delete records is due to the current limitations of Einstein Copilot's supported actions. It is designed to assist with tasks like data retrieval, creation, and updates, but for security and data integrity reasons, it does not facilitate the deletion of records.
* User Permissions:Even if the user has the necessary permissions to delete records within Salesforce, Einstein Copilot itself does not have the capability to execute delete operations.
References:
* Salesforce AI Specialist Documentation -Einstein Copilot Supported Actions:
* Lists the actions that Einstein Copilot can perform, noting the absence of delete operations.
* Salesforce Help -Limitations of Einstein Copilot:
* Highlights current limitations, including unsupported actions like deleting records.

NEW QUESTION # 45
Universal Containers wants to reduce overall agent handling time minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields.
Which combination of Einstein for Service features enables this effort?
Answer: C
Explanation:
Universal Containers aims to reduce overall agent handling time by minimizing the time agents spend typing routine answers for common questions during chats and by reducing post-chat analysis through suggesting values for case fields.
To achieve these objectives, the combination of Einstein Reply Recommendations and Case Classification is the most appropriate solution.
1. Einstein Reply Recommendations:
Purpose: Helps agents respond faster during live chats by suggesting the best responses based on historical chat data and common customer inquiries.
Functionality:
Real-Time Suggestions: Provides agents with a list of recommended replies during a chat session, allowing them to quickly select the most appropriate response without typing it out manually.
Customization: Administrators can configure and train the model to ensure the recommendations are relevant and accurate.
Benefit: Significantly reduces the time agents spend typing routine answers, thus improving efficiency and reducing handling time.
2. Case Classification:
Purpose: Automatically suggests or populates values for case fields based on historical data and patterns identified by AI.
Functionality:
Field Predictions: Predicts values for picklist fields, checkbox fields, and more when a new case is created.
Automation: Can be set to auto-populate fields or provide suggestions for agents to approve.
Benefit: Reduces the time agents spend on post-chat analysis and data entry by automating the classification and field population process.
Why Options A and B are Less Suitable:
Option A (Einstein Service Replies and Work Summaries):
Einstein Service Replies: Similar to Reply Recommendations but typically used for email and not live chat.
Work Summaries: Provides summaries of customer interactions but does not assist in field value suggestions.
Option B (Einstein Reply Recommendations and Case Summaries):
Case Summaries: Generates a summary of the case details but does not help in suggesting field values.
Reference:
Salesforce AI Specialist Documentation - Einstein Reply Recommendations:
Details how Reply Recommendations assist agents in providing quick responses during live chats.
Salesforce AI Specialist Documentation - Einstein Case Classification:
Explains how Case Classification predicts and suggests field values to streamline case management.
Salesforce Trailhead - Optimize Service with AI:
Provides an overview of AI features that enhance service efficiency.

NEW QUESTION # 46
An AI Specialist needs to enable the use of Sales Email prompt templates for the sales team. The AI Specialist has already created the templates in Prompt Builder.
According to best practices, which steps should the AI Specialist take to ensure the sales team can use these templates?
Answer: B
Explanation:
To enable Sales Email prompt templates:
* Permission Set: Assign the Prompt Template User permission set to the sales team to grant access to use pre-built templates.
* Feature Activation: Enable Sales Emails in Salesforce Setup to activate the integration between prompt templates and email workflows.
* Option B (Manager permission set): Required for creating/modifying templates, not for usage.
* Option C (Data Cloud Admin): Unrelated to prompt template access.
References:
* Salesforce Help: Prompt Template Permissions
* Specifies that "rompt Template User" is required to leverage templates in workflows.
* Sales Email Setup outlines enabling the feature in Setup.

NEW QUESTION # 47
An Al Specialist is tasked with creating a prompt template for a sales team. The template needs to generate a summary of all related opportunities for a given Account.
Which grounding technique should the Al Specialist use to include data from the related list of opportunities in the prompt template?
Answer: A
Explanation:
In Salesforce, when creating a prompt template for the sales team, you can include data from related objects such as Opportunities that are linked to an Account. The best method to ground the AI model and provide relevant information from related records, like Opportunities, is by using merge fields.
Merge fields in Salesforce allow you to dynamically reference data from a record or related records, like Opportunities for a given Account. In this scenario, the AI Specialist needs to pull data from the default related list of Opportunities associated with the Account. This is achieved by using merge fields, which pull in data from the standard relationship Salesforce creates between Accounts and Opportunities.
Option A (referencing a custom related list) and Option C (using formula fields with Einstein-related lists) do not align with the standard, practical grounding method for this task. Custom lists would require additional configurations not typically necessary for a basic use case, and formula fields are typically not used to directly fetch related list data for prompt generation in templates. The standard and straightforward method is using merge fields tied to the default related list of opportunities.
Salesforce References:
* Merge Fields in Templates: https://help.salesforce.com/s/articleView?id=000387601&type=1
* Grounding Data in Prompts: https://developer.salesforce.com ... .salesforce_ai.meta
/salesforce_ai/grounding_data_prompts

NEW QUESTION # 48
An AI Specialist wants to include data from the response ofexternal service invocation (REST API callout) into the prompt template.
How should the AI Specialist meet this requirement?
Answer: B
Explanation:
An AI Specialist wants to include data from the response of an external service invocation (REST API callout) into a prompt template. The goal is to incorporate dynamic data retrieved from an external API into the AI-generated content.
Solution:
* Use External Service Record Merge Fields
* External Service Integration:
* Definition:External Services in Salesforce allow the integration of external REST APIs into Salesforce without custom code.
* Registration:The external service must be registered in Salesforce, defining the API's schema and methods.
* External Service Record Merge Fields:
* Purpose:Enables the inclusion of data from external service responses directly into prompt templates using merge fields.
* Functionality:
* Dynamic Data Inclusion:Allows prompt templates to access and use data returned from REST API callouts.
* Merge Fields Syntax:Use merge fields in the prompt template to reference specific data points from the API response.
Implementation Steps:
* Register the External Service:
* UseExternal Servicesto register the REST API in Salesforce.
* Define the API's schema, including methods and data structures.
* Create a Named Credential:
* Configure authentication and endpoint details for the external API.
* Use External Service in Flow:
* Build aFlowthat invokes the external service and captures the response.
* Ensure the flow outputs the necessary data for use in the prompt template.
* Configure the Prompt Template:
* UseExternal Service Record merge fieldsin the prompt template to reference data from the flow's output.
* Syntax Example: {{flowOutputVariable.fieldName}}
Why Other Options are Less Suitable:
* Option A (Convert the JSON to an XML merge field):
* Irrelevance:Converting JSON to XML merge fields is unnecessary and complicates the process.
* Unsupported Method:Salesforce prompt templates do not support direct inclusion of XML merge fields from JSON conversion.
* Option C (Use "Add Prompt Instructions" flow element):
* Purpose of Add Prompt Instructions:
* Allows adding instructions to the prompt within a flow but does not facilitate including external data.
* Limitationoes not directly help in incorporating external service responses into the prompt template.
References:
* Salesforce AI Specialist Documentation -Integrating External Services with Prompt Templates:
* Explains how to use External Services and merge fields in prompt templates.
* Salesforce Help -Using Merge Fields with External Data:
* Provides guidance on referencing external data in templates using merge fields.
* Salesforce Trailhead -External Services and Flow:
* Offers a practical understanding of integrating external APIs using External Services and Flow.
Conclusion:
By using External Service Record merge fields, the AI Specialist can effectively include data from external REST API responses into prompt templates, ensuring that the AI-generated content is enriched with up-to- date and relevant external data.

NEW QUESTION # 49
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