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100% Pass High Hit-Rate Salesforce - Salesforce-AI-Specialist Latest Exam Notes

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Salesforce Salesforce-AI-Specialist Exam Syllabus Topics:

Topic
Details

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

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 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

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 5

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.

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Salesforce Certified AI Specialist Exam Sample Questions (Q45-Q50):

NEW QUESTION # 45
Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. The goal is to enhance the team's performance by identifying areas for improvement and competitive intelligence.
Which feature provides insights about competitor mentions and coaching opportunities?

A. Call Summaries
B. Einstein Sales Insights
C. Call Explorer

Answer: C

Explanation:
For analyzing voice and video call records to gain insights into competitor mentions, coaching opportunities, and other key information, Call Explorer is the most suitable feature. Call Explorer, a part of Einstein Conversation Insights, enables sales teams to analyze calls, detect patterns, and identify areas where improvements can be made. It uses natural language processing (NLP) to extract insights, including competitor mentions and moments for coaching. These insights are vital for improving sales performance by providing a clear understanding of the interactions during calls.
Call Summaries offer a quick overview of a call but do not delve deep into competitor mentions or coaching insights.
Einstein Sales Insights focuses more on pipeline and forecasting insights rather than call-based analysis.
Reference:
Salesforce Einstein Conversation Insights Documentation: https://help.salesforce.com/s/articleView?id=einstein_conversation_insights.htm

NEW QUESTION # 46
Universal Containers wants to use an external large language model (LLM) in Prompt Builder.
What should an AI Specialist recommend?

A. Use Apex to connect to an external LLM and ground the prompt.
B. Use Flow and External Services to bring data from an external LLM.
C. Use BYO-LLM functionality in Einstein Studio,

Answer: C

Explanation:
Bring Your Own Large Language Model (BYO-LLM) functionality in Einstein Studio allows organizations to integrate and use external large language models (LLMs) within the Salesforce ecosystem.
Universal Containers can leverage this feature to connect and ground prompts with external LLMs, allowing for custom AI model use cases and seamless integration with Salesforce data.
* Option B is the correct choice as Einstein Studio provides a built-in feature to work with external models.
* Option A suggests using Apex, but BYO-LLM functionality offers a more streamlined solution.
* Option C focuses on Flow and External Services, which is more about data integration and isn't ideal for working with LLMs.
References:
* Salesforce Einstein Studio BYO-LLM Documentation: https://help.salesforce.com/s/articleView?id=sf.
einstein_studio_llm.htm

NEW QUESTION # 47
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 permission to access the fields.
C. The user does not have Einstein Sales Emails permission assigned.

Answer: B

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 # 48
Universal Containers plans to enhance the customer support team's productivity using AI.
Which specific use case necessitates the use of Prompt Builder?

A. Estimating support ticket volume based on historical data and seasonal trends
B. Creating a draft of a support bulletin post for new product patches
C. Creating an Al-generated customer support agent performance score

Answer: B

Explanation:
The use case that necessitates the use ofPrompt Builderiscreating a draft of a support bulletin postfor new product patches.Prompt Builderallows the AI Specialist to create and refine prompts that generate specific, relevant outputs, such as drafting support communication based on product information and patch details.
* Option B(agent performance score) would likely involve predictive modeling, not prompt generation.
* Option C(estimating support ticket volume) would require data analysis and predictive tools, not prompt building.
For more details, refer toSalesforce's Prompt Builder documentationfor generative AI content creation.

NEW QUESTION # 49
Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing auto launched flow to query the information from Oracle ERP, which is the system of record for the order fulfillment process.
How should an AI Specialist apply the power of conversational AI to this use case?

A. Create a custom copilot action which calls a flow.
B. Configure the Integration Flow Standard Action in Einstein Copilot.
C. Create a Flex prompt template in Prompt Builder.

Answer: A

Explanation:
To enable Universal Containers service agents to query the current fulfillment status of an order using natural language and leverage an existing auto-launched flow that queries Oracle ERP, the best solution is to create a custom copilot action that calls the flow. This action will allow Einstein Copilot to interact with the flow and retrieve the required order fulfillment information seamlessly. Custom copilot actions can be tailored to call various backend systems or flows in response to user requests.
Option B is correct because it enables integration between Einstein Copilot and the flow that connects to Oracle ERP.
Option A (Flex prompt template) is more suited for static responses and not for invoking flows.
Option C (Integration Flow Standard Action) is not directly related to creating a specific copilot action for this use case.
Reference:
Salesforce Einstein Copilot Actions: https://help.salesforce.com/s/articleView?id=einstein_copilot_actions.htm

NEW QUESTION # 50
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Bill Ward Bill Ward

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