SALESFORCE-AI-SPECIALIST LATEST TEST BOOTCAMP, SALESFORCE-AI-SPECIALIST TEST SAMPLE ONLINE

Salesforce-AI-Specialist Latest Test Bootcamp, Salesforce-AI-Specialist Test Sample Online

Salesforce-AI-Specialist Latest Test Bootcamp, Salesforce-AI-Specialist Test Sample Online

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Tags: Salesforce-AI-Specialist Latest Test Bootcamp, Salesforce-AI-Specialist Test Sample Online, Salesforce-AI-Specialist New Question, Salesforce-AI-Specialist Test Sample Questions, Test Salesforce-AI-Specialist Testking

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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.

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If you want our Salesforce-AI-Specialist study materials to download and print, the PDF version is perfect for you since it has the function of being printable. And the PDF version of our Salesforce-AI-Specialist exam questions can be noted when you want to memory something as well as to indicate the keypoints. Also, our Salesforce-AI-Specialist Preparation exam is unlimited in number of devices, making it easy for you to learn anytime, anywhere.

Salesforce Certified AI Specialist Exam Sample Questions (Q19-Q24):

NEW QUESTION # 19
Universal Containers (UC) plans to send one of three different emails to its customers based on the customer's lifetime value score and their market segment.
Considering that UC are required to explain why an e-mail was selected, which AI model should UC use to achieve this?

  • A. Predictive model and generative model
  • B. Generative model
  • C. Predictive model

Answer: C

Explanation:
Universal Containersshould use aPredictive modelto decide which of the three emails to send based on the customer'slifetime value scoreandmarket segment. Predictive models analyze data to forecast outcomes, and in this case, it would predict the most appropriate email to send based on customer attributes. Additionally, predictive models can provideexplainabilityto show why a certain email was chosen, which is crucial for UC' s requirement to explain the decision-making process.
* Generative modelsare typically used for content creation, not decision-making, and thus wouldn't be suitable for this requirement.
* Predictive modelsoffer the ability to explain why a particular decision was made, which aligns with UC's needs.
Refer toSalesforce's Predictive AI model documentationfor more insights on how predictive models are used for segmentation and decision making.


NEW QUESTION # 20
What is the main purpose of Prompt Builder?

  • A. A tool for developers to use in Visual Studio Code that creates prompts for Apex programming, assisting developers in writing code more efficiently.
  • B. A tool that enables companies to create reusable prompts for large language models (LLMs), bringing generative AI responses to their flow of work
  • C. A tool within Salesforce offering real-time Al-powered suggestions and guidance to users, Improving productivity and decision-making.

Answer: B

Explanation:
Prompt Builder is designed to help organizations create and configure reusable prompts for large language models (LLMs). By integrating generative AI responses into workflows, Prompt Builder enables customization of AI prompts that interact with Salesforce data and automate complex processes. This tool is especially useful for creating tailored and consistent AI-generated content in various business contexts, including customer service and sales.
* It is not a tool for Apex programming (as in option A).
* It is also not limited to real-time suggestions as mentioned in option C. Instead, it provides a flexible way for companies to manage and customize how AI-driven responses are generated and used in their workflows.
References:
* Salesforce Prompt Builder Overview: https://help.salesforce.com/s/articleView?id=sf.prompt_builder.htm


NEW QUESTION # 21
What is an AI Specialist able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

  • A. View session data including user Input and copilot responses for sessions over the past 7 days.
  • B. View the user click path that led to each copilot action.
  • C. Generate details reports on all Copilot conversations over any time period.

Answer: A

Explanation:
When the "Enrich event logs with conversation data" setting is enabled in Einstein Copilot, it allows an AI Specialist or admin to view session data, including both the user input and copilot responses from interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping AI specialists track AI behavior and user engagement.
Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.
Salesforce AI Specialist Reference:
You can refer to this documentation for further insights: https://help.salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm


NEW QUESTION # 22
What is an AI Specialist able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

  • A. View session data including user Input and copilot responses for sessions over the past 7 days.
  • B. View the user click path that led to each copilot action.
  • C. Generate details reports on all Copilot conversations over any time period.

Answer: A

Explanation:
When the "Enrich event logs with conversation data" setting is enabled in Einstein Copilot, it allows an AI Specialist or admin to view session data, including both the user input and copilot responses from interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
* This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping AI specialists track AI behavior and user engagement.
* Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
* Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.
Salesforce AI Specialist References:You can refer to this documentation for further insights: https://help.
salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm


NEW QUESTION # 23
Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements.
What should an AI Specialist recommend to resolve the issue?

  • A. Add new data masking rules in LLM setup.
  • B. Enable data masking for sandbox refreshes.
  • C. Configure data masking in the Einstein Trust Layer setup.

Answer: C

Explanation:
When Universal Containers' AI data masking rules do not meet organizational privacy and security standards, the AI Specialist should configure the data masking rules within the Einstein Trust Layer. The Einstein Trust Layer provides a secure and compliant environment where sensitive data can be masked or anonymized to adhere to privacy policies and regulations.
* Option A, enabling data masking for sandbox refreshes, is related to sandbox environments, which are separate from how AI interacts with production data.
* Option C, adding masking rules in the LLM setup, is not appropriate because data masking is managed through the Einstein Trust Layer, not the LLM configuration.
The Einstein Trust Layer allows for more granular control over what data is exposed to the AI model and ensures compliance with privacy regulations.
Salesforce AI Specialist References:For more information, refer to: https://help.salesforce.com/s
/articleView?id=sf.einstein_trust_layer_data_masking.htm


NEW QUESTION # 24
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