VALID SALESFORCE SALESFORCE-AI-SPECIALIST BRAINDUMPS & EXAM SALESFORCE-AI-SPECIALIST LABS

Valid Salesforce Salesforce-AI-Specialist Braindumps & Exam Salesforce-AI-Specialist Labs

Valid Salesforce Salesforce-AI-Specialist Braindumps & Exam Salesforce-AI-Specialist Labs

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Tags: Valid Salesforce-AI-Specialist Braindumps, Exam Salesforce-AI-Specialist Labs, Salesforce-AI-Specialist Passleader Review, Salesforce-AI-Specialist Visual Cert Exam, Reliable Salesforce-AI-Specialist Exam Papers

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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
  • 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
  • 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
  • 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
  • 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.

Salesforce Certified AI Specialist Exam Sample Questions (Q140-Q145):

NEW QUESTION # 140
When a customer chat is initiated, which functionality in Salesforce provides generative AI replies or draft emails based on recommended Knowledge articles?

  • A. Einstein Grounding
  • B. Einstein Reply Recommendations
  • C. Einstein Service Replies

Answer: C

Explanation:
When acustomer chat is initiated,Einstein Service Repliesprovidesgenerative AI replies or draft emails based on recommendedKnowledge articles. This feature uses the information from theSalesforce Knowledge baseto generate responses that are relevant to the customer's query, improving the efficiency and accuracy of customer support interactions.
* Option Bis correct becauseEinstein Service Repliesis responsible for generating AI-driven responses based on knowledge articles.
* Option A(Einstein Reply Recommendations) is focused on recommending replies but does not generate them.
* Option C(Einstein Grounding) refers to grounding responses in data but is not directly related to drafting replies.
References:
* Einstein Service Replies Overview:https://help.salesforce.com/s/articleView?id=sf.
einstein_service_replies.htm


NEW QUESTION # 141
Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email.
After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?

  • A. Make Less Formal
  • B. Optimize for Clarity
  • C. Enhance Friendliness

Answer: A

Explanation:
WhenUniversal Containersuses theDraft with Einsteinfeature inSales Cloudto create a personalized email, the predefined adjustment toMake Less Formalis the correct option to revise the draft with a more casual tone. This option adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism.
* Enhance Friendlinesswould make the tone more positive, but not necessarily more casual.
* Optimize for Clarityfocuses on making the draft clearer but doesn't adjust the tone.
For more details, seeSalesforce documentation on Einstein-generated email draftsand tone adjustments.


NEW QUESTION # 142
Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes.
What is a consideration for this requirement?

  • A. Storing this data requires Data Cloud to be provisioned.
  • B. Storing this data requires a custom object for data to be configured.
  • C. Storing this data requires Salesforce big objects.

Answer: A

Explanation:
When implementing Einstein Generative AI for improved customer insights and interactions, the Data Cloud is a key consideration for storing and managing large-scale audit and feedback data. The Salesforce Data Cloud (formerly known as Customer 360 Audiences) is designed to handle and unify massive datasets from various sources, making it ideal for storing data required for AI-powered insights and reporting. By provisioning Data Cloud, organizations like Universal Containers (UC) can gain real-time access to customer data, making it a central repository for unified reporting across various systems.
Audit and feedback data generated by Einstein Generative AI needs to be stored in a scalable and accessible environment, and the Data Cloud provides this capability, ensuring that data can be easily accessed for reporting, analytics, and further model improvement.
Custom objects or Salesforce Big Objects are not designed for the scale or the specific type of real-time, unified data processing required in such AI-driven interactions. Big Objects are more suited for archival data, whereas Data Cloud ensures more robust processing, segmentation, and analysis capabilities.
Reference:
Salesforce Data Cloud Documentation: https://www.salesforce.com/products/data-cloud/overview/ Salesforce Einstein AI Overview: https://www.salesforce.com/products/einstein/overview/


NEW QUESTION # 143
Leadership needs to populate a dynamic form field with a summary or description created by a large language model (LLM) to facilitate more productive conversations with customers. Leadership also wants to keep a human in the loop to be considered in their AI strategy.
Which prompt template type should the AI Specialist recommend?

  • A. Sales Email
  • B. Field Generation
  • C. Record Summary

Answer: B

Explanation:
The correct answer is Field Generation because this template type is designed to dynamically populate form fields with content generated by a large language model (LLM). In this scenario, leadership wants a dynamic form field that contains a summary or description generated by AI to aid customer interactions. Additionally, they want to keep a human in the loop, meaning the generated content will likely be reviewed or edited by a person before it's finalized, which aligns with the Field Generation prompt template.
* Field Generation: This prompt type allows you to generate content for specific fields in Salesforce, leveraging large language models to create dynamic and contextual information. It ensures that AI content is available within the record where needed, but it allows human oversight or review, supporting the "human-in-the-loop" strategy.
* Sales Email: This prompt type is mainly used for generating email content for outreach or responses, which doesn't align directly with populating fields in a form.
* Record Summary: While this option might seem close, it is typically used to summarize entire records for high-level insights rather than filling specific fields with dynamic content based on AI generation.
Salesforce AI Specialist References:
* You can explore more about these prompt templates and AI capabilities through Salesforce documentation and official resources on Prompt Builder: https://help.salesforce.com/s/articleView?
id=sf.prompt_builder_templates_overview.htm


NEW QUESTION # 144
Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users find that the draft email contains placeholders for attributes that could have been derived from the recipient's contact record.
What is the most likely explanation for why the draft email shows these placeholders?

  • A. The user's locale language is not supported by Prompt Builder.
  • B. The user does not have Einstein Sales Emails permission assigned.
  • C. The user does not have permission to access the fields.

Answer: C

Explanation:
When using Einstein Generative AI to create personalized emails, if placeholders appear in the draft email where data from a recipient's Contact record should be, the most likely reason is that the user lacks permission to access the necessary fields. Salesforce's field-level security may prevent users from viewing or utilizing certain data fields, resulting in placeholders being shown instead of the actual values.
Option B is correct because missing field permissions will cause placeholders in email drafts.
Option A (missing Einstein Sales Emails permission) is unlikely, as this would prevent email generation altogether, not just placeholders.
Option C (locale language issues) would more likely affect language-specific issues, not field placeholders.
Reference:
Salesforce Email Template and Permissions Documentation: https://help.salesforce.com/s/articleView?id=sf.email_templates_field_permissions.htm


NEW QUESTION # 145
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