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100% Pass Quiz Salesforce - Salesforce-AI-Specialist The Best New Exam Topics

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 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

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.

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Salesforce Certified AI Specialist Exam Sample Questions (Q36-Q41):

NEW QUESTION # 36
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language.
Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?

A. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.
B. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
C. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.

Answer: A

Explanation:
To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the AI Specialist should create aTrust Layer audit reportwithinData Cloud. By using thetoxicity detector type filter, the report can displaytoxic responsesalong with their respective toxicity scores, allowing Universal Containersto monitor and manage any toxic content generated with a high level of confidence.
* Option Cis correct because it enables visibility into toxic language detection within theTrust Layerand allows for auditing responses for toxicity.
* Option Asuggests checking a toxicity detection log, butSalesforceprovides more comprehensive options via the audit report.
* Option Binvolves creating a flow, which is unnecessary for toxicity detection monitoring.
References:
* Salesforce Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer_audit.htm

NEW QUESTION # 37
An AI Specialist wants to use the related lists from an account in a custom prompt template.
What should the AI Specialist consider when configuring the prompt template?

A. The maximum number of related list merge fields
B. The text encoding (for example, UTF-8, ASCII) option
C. The choice between XML and JSON rendering formats for the list

Answer: A

Explanation:
When configuring a custom prompt template to use related lists, the AI Specialist must be aware of the maximum number of related list merge fields that can be included. Salesforce enforces limits to ensure prompt templates perform efficiently and do not overload the system with too much data. As a best practice, it's important to monitor and optimize the number of merge fields used.
Option B is correct because there is a limit on how many related list merge fields can be included in a prompt template.
Option A (text encoding) and Option C (XML/JSON rendering) are not key considerations in this context.
Reference:
Salesforce Prompt Builder Documentation: https://help.salesforce.com/s/articleView?id=sf.prompt_builder.htm

NEW QUESTION # 38
A Salesforce Administrator is exploring the capabilities of Einstein Copilot to enhance user interaction within their organization. They are particularly interested in how Einstein Copilot processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Einstein Copilot directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users.
How does Einstein Copilot handle user requests In Salesforce?

A. Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message.
B. Einstein Copilot will perform an HTTP callout to an LLM provider.
C. Einstein Copilot analyzes the user's request and LLM technology is used to generate and display the appropriate response.

Answer: C

Explanation:
Einstein Copilot is designed to enhance user interaction within Salesforce by leveraging Large Language Models (LLMs) to process and respond to user inquiries. When a user submits a request, Einstein Copilot analyzes the input using natural language processing techniques. It then utilizes LLM technology to generate an appropriate and contextually relevant response, which is displayed directly to the user within the Salesforce interface.
Option C accurately describes this process. Einstein Copilot does not necessarily trigger a flow (Option A) or perform an HTTP callout to an LLM provider (Option B) for each user request. Instead, it integrates LLM capabilities to provide immediate and intelligent responses, facilitating a broad range of user requests.
Reference:
Salesforce AI Specialist Documentation - Einstein Copilot Overview: Details how Einstein Copilot employs LLMs to interpret user inputs and generate responses within the Salesforce ecosystem.
Salesforce Help - How Einstein Copilot Works: Explains the underlying mechanisms of how Einstein Copilot processes user requests using AI technologies.

NEW QUESTION # 39
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?

A. Prompt Template Manager for creating templates and Data Cloud Admin for executing templates
B. Data Cloud Admin for creating templates and Prompt Template User for executing templates
C. Prompt Template Manager for creating templates and Prompt Template User for executing templates

Answer: C

Explanation:
To effectively manage and use prompt templates, two distinct permission sets are required:
* Prompt Template Manager: This permission set allows users to create prompt templates. It provides the necessary access to define templates, which can be shared and utilized across the organization.
* Prompt Template User: This permission set is designed for users who need to execute the templates. It provides the ability to interact with pre-designed prompts and generate outcomes based on these templates.
TheData Cloud Adminpermission set is not directly relevant to creating or executing prompt templates but is more focused on managing the Data Cloud.

NEW QUESTION # 40
An AI Specialist wants to ground a new prompt template with the User related list.
What should the AI Specialist consider?

A. The User related list needs to be included on the record page.
B. The User related list should have View All access.
C. The User related list is not supported in prompt templates.

Answer: C

Explanation:
An AI Specialist wants to ground a new prompt template with theUser related list. Grounding in prompt templates involves using data from related lists to provide context or additional information to the Large Language Model (LLM) when generating responses.
Key Consideration:
* Unsupported Related Lists in Prompt Templates:
* Limitation:TheUser related listisnot supportedin prompt templates for grounding purposes.
* Reason:Salesforce restricts certain objects and related lists from being used in prompt templates to maintain data security and integrity. The User object often contains sensitive information and is subject to strict access controls.
* Impact:Attempting to use the User related list in a prompt template will not work as expected because the system does not support it.
Why Options A and B are Incorrect:
* Option A (The User related list should have View All access):
* Incorrect:Even with View All access, the User related list is still not supported in prompt templates.
* Security Concerns:Granting View All access to the User object is a significant security risk and not a recommended practice.
* Option B (The User related list needs to be included on the record page):
* Incorrect:Including the User related list on the record page does not affect its availability in prompt templates.
* Irrelevance:The placement of the related list on the record page does not change the system's ability to access it in a prompt template.
References:
* Salesforce AI Specialist Documentation -Prompt Templates Limitations:
* Details the objects and related lists that are not supported in prompt templates.
* Salesforce Help -Data Access in Prompt Templates:
* Explains how data access and security considerations affect the use of objects in prompt templates.
* Salesforce Trailhead -Understanding Prompt Template Grounding:
* Provides insights into grounding prompt templates and the limitations involved.
Conclusion:
Since the User related list is not supported in prompt templates, the AI Specialist must consider alternative approaches. They might need to redesign the prompt template to use supported objects or related lists, or explore other methods to incorporate necessary user information while adhering to Salesforce's data access policies.

NEW QUESTION # 41
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