[2026] Use Valid Exam Salesforce-AI-Specialist by DumpTorrent Books For Free Website [Q56-Q73]

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[2026] Use Valid Exam Salesforce-AI-Specialist by DumpTorrent Books For Free Website

Free AI Associate Salesforce-AI-Specialist Official Cert Guide PDF Download

Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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 3	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 4	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 5	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.

QUESTION 56
An AI Specialist configured Data Masking within the Einstein Trust Layer.
How should the AI Specialist begin validating that the correct fields are being masked?

Use a Flow-based resource in Prompt Builder to debug the fields’ merge values using Flow Debugger.

Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.

Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.

QUESTION 57
An AI Specialist wants to use the related lists from an account in a custom prompt template.
Whatshould the AI Specialist considerwhen configuring the prompt template?

The text encoding (for example, UTF-8, ASCII) option

The maximum number of related list merge fields

The choice between XML and JSON rendering formats for the list

QUESTION 58
How does the Einstein Trust Layer ensure that sensitive data isprotected while generating useful and meaningful responses?

Masked data will be de-masked during response journey.

Masked data will be de-masked during request journey.

Responses that do not meet the relevance threshold will be automatically rejected.

QUESTION 59
Where should the AI Specialist go to add/update actions assigned to a copilot?

Copilot Actions page, the record page for the copilot action, or the Copilot Action Library tab

Copilot Actions page or Global Actions

Copilot Detail page, Global Actions, or the record page for the copilot action

QUESTION 60
Universal Containers is very concerned about security compliance and wants to understand:
Which prompt text is sent to the large language model (LLM)
* How it is masked
* The masked response
What should the AI Specialist recommend?

Ingest the Einstein Shield Event logs into CRM Analytics.

Review the debug logs of the running user.

Enable audit trail in the Einstein Trust Layer.

QUESTION 61
An AI Specialist is setting up a new org and needs to ensure that users can create and execute prompt templates. The AI Specialist is unsure which roles are necessary for these tasks.
Which permission sets should the AI Specialist assign to users who need to create and execute prompt templates?

Prompt Template Manager for creating templates and Data Cloud Admin for executing templates

Prompt Template Manager for creating templates and Prompt Template User for executing templates

Data Cloud Admin for creating templates and Prompt Template User for executing templates

QUESTION 62
Which mechanism within the Einstein Trust Layer helps to ensure that personal data is handled in compliance with data protection regulations like GDPR?

Toxicity Scoring

Data Masking

Prompt Defense

QUESTION 63
Universal Containers, dealing with a high volume of chat inquiries, implements Einstein Work Summaries to boost productivity.
After an agent-customer conversation, which additional information does Einstein generate and fill, apart from the “summary”‘

Sentiment Analysis and Emotion Detection

Draft Survey Request Email

Issue and Revolution

QUESTION 64
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?

Create a screen flow to collect sales order number and invoke the prompt template using the standard
“Prompt Template” flow action.

Create a template-triggered prompt flow and invoke the prompt template using the standard “Prompt Template” flow action.

Create an autolaunched flow and invoke the prompt template using the standard “Prompt Template” flow action.

QUESTION 65
How does Secure Data Retrieval ensure that only authorized users can access necessary Salesforce data for dynamic grounding?

Retrieves Salesforce data based on the ‘Run As” users permissions.

Retrieves Salesforce data based on the user’s permissions executing the prompt.

Retrieves Salesforces data based on the Prompt template’s object permissions.

QUESTION 66
Universal Containers needs its sales reps to be able to only execute prompt templates.
What should an AI Specialist recommend to achieve this requirement?

Prompt Template user permission set

Prompt Template Manager permission set

Prompt Execute Template permission set

QUESTION 67
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?

Response accuracy and offensiveness score

Hallucination score and bias score

Masked data and toxicity score

QUESTION 68
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer’s toxicity scoring to assess the content’s safety level.
What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?

Not safe

Safe

Moderately safe

QUESTION 69
Universal Containers’ data science team is hosting a generative large language model (LLM) on Amazon Web Services (AWS).
What should the team use to access externally-hosted models in the Salesforce Platform?

Model Builder

App Builder

Copilot Builder

QUESTION 70
Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls.
How should UC meet this requirement?

Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.

Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.

Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.

QUESTION 71
Universal Containers (UC) is discussing its AI strategy in an agile Scrum meeting.
Which business requirement would lead an AI Specialist to recommend connecting to an external foundational model via Einstein Studio (Model Builder)?

UC wants to fine-tune model temperature.

UC wants a model fine-tuned using company data.

UC wants to change the frequency penalty of the model.

QUESTION 72
Universal Containers (UC) is using standard Service AI Grounding. UC created a custom rich text field to be used with Service AI Grounding.
What should UC consider when using standard Service AI Grounding?

Service AI Grounding only works with Case and Knowledge objects.

Service AI Grounding only supports String and Text Area type fields.

Service AI Grounding visibility works m system mode.

QUESTION 73
What is the correct process to leverage Prompt Builder in a Salesforce org?

Select the appropriate prompt template type to use, select one of Salesforce’s standard prompts, determine the object to associatethe prompt, select a record tovalidate against, and associate the prompt to an action.

Select the appropriate prompt template type to use, develop the prompt within the prompt workspace, select resources to dynamically insert CRM-derived grounding data, pick the model to use, and test and validate the generated responses.

Enable the target object for generative prompting, develop the prompt within the prompt workspace, select records to fine-tune and ground the response, enable the Trust Layer, and associate the prompt to an action.