SALESFORCE-AI-SPECIALIST EXAM ASSESSMENT | SALESFORCE-AI-SPECIALIST LATEST TEST ONLINE

Salesforce-AI-Specialist Exam Assessment | Salesforce-AI-Specialist Latest Test Online

Salesforce-AI-Specialist Exam Assessment | Salesforce-AI-Specialist Latest Test Online

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Salesforce Certified AI Specialist Exam Sample Questions (Q80-Q85):

NEW QUESTION # 80
Universal Containers (UC) is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implementing Einstein Copilot to improve its processes.
What is a key reason for implementing Einstein Copilot?

  • A. Allowing AI to perform tasks without user interaction
  • B. Improving data entry and data cleansing
  • C. Streamlining workflows and automating repetitive tasks

Answer: C

Explanation:
The key reason for implementing Einstein Copilot is its ability to streamline workflows and automate repetitive tasks. By leveraging AI, Einstein Copilot can assist users in handling mundane, repetitive processes, such as automatically generating insights, completing actions, and guiding users through complex processes, all of which significantly improve operational efficiency.
Option A (Improving data entry and cleansing) is not the primary purpose of Einstein Copilot, as its focus is on guiding and assisting users through workflows.
Option B (Allowing AI to perform tasks without user interaction) does not accurately describe the role of Einstein Copilot, which operates interactively to assist users in real time.
Salesforce AI Specialist Reference:
More details can be found in the Salesforce documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_overview.htm


NEW QUESTION # 81
Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. Thegoal is to enhance the team'sperformance by identifying areas for improvement and competitive intelligence.
Which feature provides insights about competitor mentions and coaching opportunities?

  • A. Einstein Sales Insights
  • B. Call Explorer
  • C. Call Summaries

Answer: B

Explanation:
For analyzing voice and video call records to gain insights into competitor mentions, coaching opportunities, and other key information,Call Exploreris the most suitable feature.Call Explorer, a part ofEinstein Conversation Insights, enables sales teams to analyze calls, detect patterns, and identify areas where improvements can be made. It uses natural language processing (NLP) to extract insights, including competitor mentionsand moments for coaching. These insights are vital for improving sales performance by providing a clear understanding of the interactions during calls.
* Call Summariesoffer a quick overview of a call but do not delve deep into competitor mentions or coaching insights.
* Einstein Sales Insightsfocuses more on pipeline and forecasting insights rather than call-based analysis.
References:
* Salesforce Einstein Conversation Insights Documentation:https://help.salesforce.com/s/articleView?
id=einstein_conversation_insights.htm


NEW QUESTION # 82
Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data.
Which audit data is available using the Einstein Trust Layer?

  • A. Hallucination score and bias score
  • B. Masked data and toxicity score
  • C. Response accuracy and offensiveness score

Answer: B

Explanation:
Universal Containers is considering the use of the Einstein Trust Layer along with Einstein Generative AI Audit Data. The Einstein Trust Layer provides a secure and compliant way to use AI by offering features like data masking and toxicity assessment.
The audit data available through the Einstein Trust Layer includes information aboutmasked data-which ensures sensitive information is not exposed-and thetoxicity score, which evaluates the generated content for inappropriate or harmful language.
References:
* Salesforce AI Specialist Documentation - Einstein Trust Layer:Details the auditing capabilities, including logging of masked data and evaluation of generated responses for toxicity to maintain compliance and trust.


NEW QUESTION # 83
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?

  • A. Use "Add Prompt Instructions" flow element.
  • B. Convert the JSON to an XML merge field.
  • C. Use External Service Record merge fields.

Answer: C

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.
* Limitation:Does 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 # 84
What is an AI Specialist able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

  • A. View session data including user Input and copilot responses for sessions over the past 7 days.
  • B. Generate details reports on all Copilot conversations over any time period.
  • C. View the user click path that led to each copilot action.

Answer: A

Explanation:
When the "Enrich event logs with conversation data" setting is enabled in Einstein Copilot, it allows an AI Specialist or admin to view session data, including both the user input and copilot responses from interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping AI specialists track AI behavior and user engagement.
Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.
Salesforce AI Specialist Reference:
You can refer to this documentation for further insights: https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm


NEW QUESTION # 85
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