CORRECT BOOKS SALESFORCE-AI-SPECIALIST PDF & PASS-SURE SALESFORCE CERTIFICATION TRAINING - VERIFIED SALESFORCE SALESFORCE CERTIFIED AI SPECIALIST EXAM

Correct Books Salesforce-AI-Specialist PDF & Pass-Sure Salesforce Certification Training - Verified Salesforce Salesforce Certified AI Specialist Exam

Correct Books Salesforce-AI-Specialist PDF & Pass-Sure Salesforce Certification Training - Verified Salesforce Salesforce Certified AI Specialist Exam

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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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Salesforce Certified AI Specialist Exam Sample Questions (Q131-Q136):

NEW QUESTION # 131
The sales team at a hotel resort would like to generate a guest summary about the guests' interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page.
Which AI capability should the team use?

  • A. Einstein Copilot
  • B. Model Builder
  • C. Prompt Builder

Answer: C

Explanation:
The sales team at a hotel resort wants to generate a guest summary about guests' interests and provide recommendations based on their activity preferences captured in each guest profile. They require the summary to be available only on the contact record page.
Solution:
Use Prompt Builder to create a prompt template that generates the desired summary and displays it on the contact record page.
Prompt Builder:
Purpose: Allows the creation of custom prompt templates that leverage AI to generate content based on Salesforce data.
Functionality:
Field Generation Templates: Can be used to populate fields on records with AI-generated summaries.
Customization: Enables the AI Specialist to design prompts that utilize data from the guest profiles to produce personalized summaries and recommendations.
Relevance to the Use Case:
The sales team wants the summary to be available on the contact record page, which aligns with the capabilities of Prompt Builder to generate and display content on specific record pages.
Implementation Steps:
Create a Field Generation Prompt Template:
Use Prompt Builder to create a new prompt template of type Field Generation.
Design the prompt to instruct the AI to generate a summary based on the guest's interests and activity preferences.
Include Relevant Data:
Use merge fields to include data from the guest profile in the prompt.
Ensure that the prompt accesses the necessary fields to generate accurate recommendations.
Configure the Contact Page Layout:
Add the field that will display the AI-generated summary to the contact record page layout.
Ensure that the field is only visible where appropriate, adhering to the requirement of availability only on the contact record page.
Why Not Einstein Copilot or Model Builder:
Option A (Einstein Copilot):
Purpose: Einstein Copilot is a conversational AI assistant designed to interact with users through natural language.
Mismatch with Requirements:
The team wants a static summary displayed on the contact record page, not an interactive conversational experience.
Option C (Model Builder):
Purpose: Model Builder is used to create custom AI models for predictions and classifications.
Inapplicability:
Building a custom model is unnecessary for generating text summaries based on existing data.
Model Builder does not directly provide functionality to generate and display summaries on record pages.
Reference:
Salesforce AI Specialist Documentation - Prompt Builder Overview:
Provides an introduction to Prompt Builder and its capabilities.
Salesforce Help - Creating Field Generation Prompt Templates:
Guides on creating prompt templates that generate content for fields on records.
Salesforce Trailhead - Customize AI Content with Prompt Builder:
Offers hands-on experience in building and customizing prompt templates.
Conclusion:
By utilizing Prompt Builder, the sales team can create a customized prompt template that generates personalized guest summaries and recommendations based on activity preferences. This solution meets the requirement of displaying the summary only on the contact record page, enhancing the team's ability to engage with guests effectively.


NEW QUESTION # 132
An AI Specialist implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads basedon their interactions and data stored in Salesforce. The AI Specialist needsto 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 Record Merge Fields
  • B. Automatic grounding using Draft with Einstein feature
  • C. Ground with Apex Merge Fields

Answer: A

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 # 133
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 Replies, Service AI Grounding, and Grounding with Knowledge.
  • B. Turn on Service AI Grounding and Grounding with Knowledge.
  • C. Turn on Service AI Grounding, Grounding with Case, and Service Replies.

Answer: B

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 # 134
An AI Specialist needs to create a prompt template to fill a custom field named Latest Opportunities Summary on the Account object with information from the three most recently opened opportunities.
How should the AI Specialist gather the necessary data for the prompt template?

  • A. Select the Account Opportunity object as a resource when creating the prompt template.
  • B. Select the latest Opportunities related list as a merge field.
  • C. Create a flow to retrieve the opportunity information.

Answer: C

Explanation:
To gather the necessary data for populating the Latest Opportunities Summary custom field on the Account object with information from the three most recently opened opportunities, the AI Specialist should create a flow. A flow can be configured to query and retrieve the required opportunity records based on criteria such as their open date. Once the flow has gathered the necessary data, it can be used in a prompt template or other automation processes to populate the custom field on the Account record.
Option A is correct because creating a flow allows for dynamic data retrieval and control over the logic for selecting the most recent opportunities.
Option B and Option C do not provide sufficient control or data retrieval capabilities needed for this scenario.
Reference:
Salesforce Flow Documentation: https://help.salesforce.com/s/articleView?id=sf.flow.htm


NEW QUESTION # 135
Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time consuming for both UC's sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency.
Which Salesforce feature should a Salesforce AI Specialist recommend to address these concerns?

  • A. Einstein Recommendation Builder
  • B. Einstein Copilot Action: Query Records
  • C. Einstein Prompt Builder and Prompt Templates

Answer: C

Explanation:
For Universal Containers (UC), to reduce the time and ensure prompt consistency when using public generative AI models, the recommended feature is Einstein Prompt Builder and Prompt Templates. This feature allows teams to create reusable and consistent prompts for generative AI tasks, ensuring that all users receive uniform responses without having to type in detailed prompts manually every time.
Einstein Prompt Builder simplifies the creation of prompts, and Prompt Templates standardize the inputs, saving time for sales and service reps.
Option A (Einstein Recommendation Builder) is more focused on recommendations, not prompt standardization.
Option B (Einstein Copilot Action: Query Records) is for querying records, not generating AI-driven prompts.
Reference:
Salesforce Prompt Builder Overview: https://help.salesforce.com/s/articleView?id=sf.prompt_builder_overview.htm


NEW QUESTION # 136
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