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Certification Salesforce-AI-Specialist Exam Dumps & Free Salesforce-AI-Specialist Vce Dumps

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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

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 4

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 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.

Salesforce Certified AI Specialist Exam Sample Questions (Q17-Q22):

NEW QUESTION # 17
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. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.
C. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.

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 # 18
Universal Containers (UC) wants to improve the efficiency of addressing customer questions and reduce agent handling time with AI- generated responses. The agents should be able to leverage their existing knowledge base and identify whether the responses are coming from the large language model (LLM) or from Salesforce Knowledge.
Which step should UC take to meet this requirement?

A. Turn on Service AI Grounding and Grounding with Knowledge.
B. Turn on Service AI Grounding, Grounding with Case, and Service Replies.
C. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.

Answer: A

Explanation:
To meet Universal Containers' goal of improving efficiency and reducing agent handling time with AI- generated responses, the best approach is to enable Service Replies, Service AI Grounding, and Grounding with Knowledge.
* Service Replies generates responses automatically.
* Service AI Grounding ensures that the AI is using relevant case data.
* Grounding with Knowledge ensures that responses are backed by Salesforce Knowledge articles, allowing agents to identify whether a response is coming from the LLM or Salesforce Knowledge.
* Option C does not include Service Replies, which is necessary for generating AI responses.
* Option A lacks the Grounding with Knowledge, which is essential for identifying response sources.
For more details, refer to Salesforce Service AI documentation on grounding and service replies.

NEW QUESTION # 19
Where should the AI Specialist go to add/update actions assigned to a copilot?

A. Copilot Detail page, Global Actions, or the record page for the copilot action
B. Copilot Actions page, the record page for the copilot action, or the Copilot Action Library tab
C. Copilot Actions page or Global Actions

Answer: B

Explanation:
To add or update actions assigned to a copilot, an AI Specialist can manage this through several areas:
* Copilot Actions Page: This is the central location where copilot actions are managed and configured.
* Record Page for the Copilot Action: From the record page, individual copilot actions can be updated or modified.
* Copilot Action Library Tab: This tab serves as a repository where predefined or custom actions for Copilot can be accessed and modified.
These areas provide flexibility in managing and updating the actions assigned to Copilot, ensuring that the AI assistant remains aligned with business requirements and processes.
The other options are incorrect:
* Bmisses the Copilot Action Library, which is crucial for managing actions.
* Cincludes the Copilot Detail page, which isn't the primary place for action management.
References:
* Salesforce Documentation onManaging Copilot Actions
* Salesforce AI Specialist Guide onCopilot Action Management

NEW QUESTION # 20
An AI Specialist at Universal Containers (UC) Is tasked with creating a new custom prompt template to populate a field with generated output. UC enabled the Einstein Trust Layer to ensure AI Audit data is captured and monitored for adoption and possible enhancements.
Which prompt template type should the AI Specialist use and which consideration should they review?

A. Field Generation, and that Dynamic Fields is enabled
B. Flex, and that Dynamic Fields is enabled
C. Field Generation, and that Dynamic Forms is enabled

Answer: A

Explanation:
When creating acustom prompt templateto populate a field with generated output, the most appropriate template type isField Generation. This template is specifically designed for generating field-specific outputs using generative AI.
Additionally, the AI Specialist must ensure thatDynamic Fieldsare enabled.Dynamic Fieldsallow the system to use real-time data inputs from related records or fields when generating content, ensuring that the AI output is contextually accurate and relevant. This is crucial when populating specific fields with AI-generated content, as it ensures the data source remains dynamic and up-to-date.
TheEinstein Trust Layerwill track and audit the interactions to ensure the organization can monitor AI adoption and make necessary enhancements based on AI usage patterns.
For further reading, refer to Salesforce's guidelines onField Generation templatesand theEinstein Trust Layer.

NEW QUESTION # 21
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 analyzes the user's request and LLM technology is used to generate and display the appropriate response.
B. Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message.
C. Einstein Copilot will perform an HTTP callout to an LLM provider.

Answer: A

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.
OptionCaccurately 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.
References:
* 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 # 22
......

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