SALESFORCE-AI-SPECIALIST LATEST GUIDE FILES, SALESFORCE-AI-SPECIALIST BEST STUDY MATERIAL

Salesforce-AI-Specialist Latest Guide Files, Salesforce-AI-Specialist Best Study Material

Salesforce-AI-Specialist Latest Guide Files, Salesforce-AI-Specialist Best Study Material

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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 (Q63-Q68):

NEW QUESTION # 63
Based on the user utterance, "Show me all the customers in New York", which standard Einstein Copilot action will the planner service use?

  • A. Fetch Records
  • B. Query Records
  • C. Select Records

Answer: B

Explanation:
Thestandard Einstein Copilot actionthat would be used in response to the user utterance, "Show me all the customers in New York," isQuery Records. This action is responsible for retrieving a set of records from Salesforce based on a specified condition - in this case, filtering customers by location (New York).
* Query Recordsis the action that fetches relevant data based on the criteria provided in the user's input.
* Select Recordsis more about picking specific records from an already presented list.
* Fetch Recordsis not a standard term used in this context for the action.
Refer toEinstein Copilot documentationon how Copilot actions work with natural language queries and data retrieval.


NEW QUESTION # 64
An AI Specialist implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads based on their interactions and data stored in Salesforce. The AI Specialist needs to configure the system to use the most accurate and up-to-date information for email generation.
Which grounding technique should the AI Specialist use?

  • A. Ground with Apex Merge Fields
  • B. Ground with Record Merge Fields
  • C. Automatic grounding using Draft with Einstein feature

Answer: C

Explanation:
ForEinstein Sales Emailsto generate personalized follow-up emails, it is crucial to ground the email content with the most up-to-date and accurate information. Grounding refers to connecting the AI model with real- time data. The most appropriate technique in this case isGround with Record Merge Fields. This method ensures that the content in the emails pulls dynamic and accurate data directly from Salesforce records, such as lead or contact information, ensuring the follow-up is relevant and customized based on the specific record.
* Record Merge Fieldsensure the generated emails are highly personalized using data like lead name, company, or other Salesforce fields directly from the records.
* Apex Merge Fieldsare typically more suited for advanced, custom logic-driven scenarios but are not the most straightforward for this use case.
* Automatic grounding using Draft with Einsteinis a different feature where Einstein automatically drafts the email, but it does not specifically ground the content with record-specific data likeRecord Merge Fields.
References:
* Salesforce Einstein Sales Emails Documentation:https://help.salesforce.com/s/articleView?id=release- notes.rn_einstein_sales_emails.htm


NEW QUESTION # 65
Universal Containers (UC) plans to automatically populate the Description field on the Account object.
Which type of prompt template should UC use?

  • A. Sales Email prompt template
  • B. Field Generation prompt template
  • C. Flex Prompt template

Answer: B

Explanation:
* Context of the QuestionUniversal Containers (UC) wants to automatically populate the Description field on the Account object. The AI-driven solution must generate textual data and write it directly into a field.
* Field Generation Prompt Template
* Primary Use Case: A Field Generation prompt template is specifically designed to create or fill in fields on a record with AI-generated text.
* Auto-population: By configuring a Field Generation prompt template, admins can define the instructions, data inputs, and desired output for the AI. The resulting text then populates the specified field, such as the Account Description.
* Why Not Flex or Sales Email Prompt Templates?
* Flex Prompt Template: Used to combine or manipulate data across objects, merges, or references from multiple sources in more advanced, flexible prompts. Typically not the go-to for straightforward text generation on a single field.
* Sales Email Prompt Template: Focused on drafting or summarizing emails for sales reps (like crafting outreach or follow-up messages). This template is not specifically built to populate a field on a record.
* ConclusionFor automatically populating the Description field with AI-generated content, theField Generation prompt template(Option A) is the correct choice.
Salesforce AI Specialist References & Documents
* Salesforce Documentation:Prompt Template TypesExplains various template types (Field Generation, Flex, Email, etc.) and their typical use cases.
* Salesforce AI Specialist Study GuideHighlights Field Generation prompt templates for populating or updating record fields with AI-generated text.


NEW QUESTION # 66
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 analyzes the user's request and LLM technology is used to generate and display the appropriate response.
  • C. Einstein Copilot will perform an HTTP callout to an LLM provider.

Answer: B

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 # 67
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?

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

Answer: C

Explanation:
When configuring acustom prompt templateto use related lists, the AI Specialist must be aware of the maximum number of related list merge fieldsthat 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 Bis correct because there is a limit on how many related list merge fields can be included in a prompt template.
* Option A(text encoding) andOption C(XML/JSON rendering) are not key considerations in this context.
References:
* Salesforce Prompt Builder Documentation:https://help.salesforce.com/s/articleView?id=sf.
prompt_builder.htm


NEW QUESTION # 68
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