SALESFORCE SALESFORCE-AI-SPECIALIST TEST DURATION, EXAM DUMPS SALESFORCE-AI-SPECIALIST FREE

Salesforce Salesforce-AI-Specialist Test Duration, Exam Dumps Salesforce-AI-Specialist Free

Salesforce Salesforce-AI-Specialist Test Duration, Exam Dumps Salesforce-AI-Specialist Free

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Salesforce Certified AI Specialist Exam Sample Questions (Q50-Q55):

NEW QUESTION # 50
Universal Containers wants to implement a solution in Salesforce with a custom UX that allows users to enter a sales order number.
Subsequently, the system will invoke a custom prompt template to create and display a summary of the sales order header and sales order details.
Which solution should an AI Specialist implement to meet this requirement?

  • A. Create an autolaunched flow and invoke the prompt template using the standard "Prompt Template" flow action.
  • B. Create a template-triggered prompt flow and invoke the prompt template using the standard "Prompt Template" flow action.
  • C. Create a screen flow to collect sales order number and invoke the prompt template using the standard "Prompt Template" flow action.

Answer: C

Explanation:
To implement a solution where users enter a sales order number and the system generates a summary, the AI Specialist should create a screen flow to collect the sales order number and invoke the prompt template. The standard "Prompt Template" flow action can then be used to trigger the custom prompt, providing a summary of the sales order header and details.
Option B, creating a template-triggered prompt flow, is not necessary for this scenario because the requirement is to directly collect input through a screen flow.
Option C, using an autolaunched flow, would be inappropriate here because the solution requires user interaction (entering a sales order number), which is best suited to a screen flow.
Salesforce AI Specialist Reference:
For further guidance on creating prompt templates with flows: https://help.salesforce.com/s/articleView?id=sf.prompt_template_flow_integration.htm


NEW QUESTION # 51
Universal Containers (UC) is Implementing Service AI Grounding to enhance its customer service operations. UC wants to ensure that its AI- generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding.
Which objects should UC select to configure Service AI Grounding?

  • A. Case, Knowledge, and Case Notes
  • B. Case, Case Emails, and Knowledge
  • C. Case and Knowledge

Answer: C

Explanation:
Universal Containers (UC) is implementing Service AI Grounding to enhance its customer service operations. They aim to ensure that AI-generated responses are grounded in the most relevant data sources and need to configure the system to include all supported objects for grounding.
Supported Objects for Service AI Grounding:
Case
Knowledge
Case Object:
Role in Grounding: Provides contextual data about customer inquiries, including case details, status, and history.
Benefit: Grounding AI responses in case data ensures that the information provided is relevant to the specific customer issue being addressed.
Knowledge Object:
Role in Grounding: Contains articles and documentation that offer solutions and information related to common issues.
Benefit: Utilizing Knowledge articles helps the AI provide accurate and helpful responses based on verified information.
Exclusion of Other Objects:
Case Notes and Case Emails:
Not Supported for Grounding: While useful for internal reference, these objects are not included in the supported objects for Service AI Grounding.
Reason: They may contain sensitive or unstructured data that is not suitable for AI grounding purposes.
Why Options A and C are Incorrect:
Option A (Case, Knowledge, and Case Notes):
Case Notes Not Supported: Case Notes are not among the supported objects for grounding in Service AI.
Option C (Case, Case Emails, and Knowledge):
Case Emails Not Supported: Case Emails are also not included in the list of supported objects for grounding.
Reference:
Salesforce AI Specialist Documentation - Service AI Grounding Configuration: Details the objects supported for grounding AI responses in Service Cloud.
Salesforce Help - Implementing Service AI Grounding: Provides guidance on setting up grounding with Case and Knowledge objects.
Salesforce Trailhead - Enhance Service with AI Grounding: Offers an interactive learning path on using AI grounding in service scenarios.


NEW QUESTION # 52
An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting.
What should the AI Specialist do to identify the root cause of the problem?

  • A. In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information.
  • B. Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.
  • C. In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.

Answer: C

Explanation:
When troubleshooting acopilot custom actionusing flow as the reference action type, enablingdynamic debuggingwithinCopilot Builder's Dynamic Panelis the most effective way to identify the root cause. By turning on dynamic debugging, the AI Specialist can see detailed logs showing both theinputs and outputsof the flow, which helps identify where the action might be failing or not delivering the expected results.
* Option B, confirming selected actions and observing the Input and Output sections, is useful for monitoring flow configuration but does not provide the deep diagnostic details available with dynamic debugging.
* Option C, verifying the user utterance and reviewing session event logs, could provide helpful context, but dynamic debugging is the primary tool for identifying issues with inputs and outputs in real time.
Salesforce AI Specialist References:To explore more about dynamic debugging in Copilot Builder, see:
https://help.salesforce.com/s/articleView?id=sf.copilot_custom_action_debugging.htm


NEW QUESTION # 53
When a customer chat is initiated, which functionality in Salesforce provides generative AI replies or draft emails based on recommended Knowledge articles?

  • A. Einstein Grounding
  • B. Einstein Reply Recommendations
  • C. Einstein Service Replies

Answer: C

Explanation:
When acustomer chat is initiated,Einstein Service Repliesprovidesgenerative AI replies or draft emails based on recommendedKnowledge articles. This feature uses the information from theSalesforce Knowledge baseto generate responses that are relevant to the customer's query, improving the efficiency and accuracy of customer support interactions.
* Option Bis correct becauseEinstein Service Repliesis responsible for generating AI-driven responses based on knowledge articles.
* Option A(Einstein Reply Recommendations) is focused on recommending replies but does not generate them.
* Option C(Einstein Grounding) refers to grounding responses in data but is not directly related to drafting replies.
References:
* Einstein Service Replies Overview:https://help.salesforce.com/s/articleView?id=sf.
einstein_service_replies.htm


NEW QUESTION # 54
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 about masked data-which ensures sensitive information is not exposed-and the toxicity score, which evaluates the generated content for inappropriate or harmful language.
Reference:
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 # 55
......

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