100% PASS 2025 SALESFORCE SALESFORCE-AI-SPECIALIST: SALESFORCE CERTIFIED AI SPECIALIST EXAM–PROFESSIONAL RELIABLE STUDY PLAN

100% Pass 2025 Salesforce Salesforce-AI-Specialist: Salesforce Certified AI Specialist Exam–Professional Reliable Study Plan

100% Pass 2025 Salesforce Salesforce-AI-Specialist: Salesforce Certified AI Specialist Exam–Professional Reliable Study Plan

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

TopicDetails
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
  • 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 3
  • 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 4
  • 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.
Topic 5
  • 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.

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Salesforce Certified AI Specialist Exam Sample Questions (Q154-Q159):

NEW QUESTION # 154
Universal Containers implements Custom Copilot Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Copilot Action to ensure proper configuration and functionality.
What should the development team review in the Custom Copilot Action configuration to identify one of the core components of a Custom Copilot Action?

  • A. Action Triggers
  • B. Instructions
  • C. Output Types

Answer: B

Explanation:
Instructions: This is a core component of Custom Copilot Actions. Instructions tell the AI model what the action should do and how it should be executed. Clear and concise instructions are crucial for the action to function correctly and provide the expected outcome.
Let's look at why the other options are not the primary core component:
Output Types: While important for defining the kind of data the action produces, it's not the core defining element of the action itself.
Action Triggers: These determine when the action is initiated, but they don't define the core functionality of the action.


NEW QUESTION # 155
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. Convert the JSON to an XML merge field.
  • B. Use "Add Prompt Instructions" flow element.
  • 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 # 156
What is best practice when refining Einstein Copilot custom action instructions?

  • A. Use consistent introductory phrases and verbs across multiple action instructions.
  • B. Specify the persona who will request the action.
  • C. Provide examples of user messages that are expected to trigger the action.

Answer: C

Explanation:
When refiningEinstein Copilot custom action instructions, it is considered best practice toprovide examples of user messagesthat are expected to trigger the action. This helps ensure that the custom action understands a variety of user inputs and can effectively respond to the intent behind the messages.
* Option B(consistent phrases) can improve clarity but does not directly refine the triggering logic.
* Option C(specifying a persona) is not as crucial as giving examples that illustrate how users will interact with the custom action.
For more details, refer toSalesforce's Einstein Copilot documentationon building and refining custom actions.


NEW QUESTION # 157
Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users findthat the draft email containsplaceholders for attributes that could have been derived from the recipient's contact record.
What is the most likely explanation for why the draft email shows these placeholders?

  • A. The user does not have permission to access the fields.
  • B. The user does not have Einstein Sales Emails permission assigned.
  • C. The user's locale language is not supported by Prompt Builder.

Answer: A

Explanation:
When usingEinstein Generative AIto create personalized emails, if placeholders appear in the draft email where data from a recipient'sContactrecord should be, the most likely reason is that theuser lacks permission to access the necessary fields. Salesforce's field-level security may prevent users from viewing or utilizing certain data fields, resulting in placeholders being shown instead of the actual values.
* Option Bis correct because missing field permissions will cause placeholders in email drafts.
* Option A(missing Einstein Sales Emails permission) is unlikely, as this would prevent email generation altogether, not just placeholders.
* Option C(locale language issues) would more likely affect language-specific issues, not field placeholders.
References:
* Salesforce Email Template and Permissions Documentation:https://help.salesforce.com/s/articleView?
id=sf.email_templates_field_permissions.htm


NEW QUESTION # 158
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. In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.
  • C. Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.

Answer: B

Explanation:
When troubleshooting a copilot custom action using flow as the reference action type, enabling dynamic debugging within Copilot Builder's Dynamic Panel is the most effective way to identify the root cause. By turning on dynamic debugging, the AI Specialist can see detailed logs showing both the inputs and outputs of 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 Reference:
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 # 159
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