Salesforce-AI-Specialist最新関連参考書 & Salesforce-AI-Specialist予想試験

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Salesforce Salesforce-AI-Specialist 認定試験の出題範囲：

トピック	出題範囲
トピック 1	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.
トピック 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.
トピック 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.
トピック 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.
トピック 5	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.

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Salesforce Certified AI Specialist Exam 認定 Salesforce-AI-Specialist 試験問題 (Q17-Q22):

質問 # 17
Universal Containers (UC) has recently received an increased number of support cases. As a result, UC has hired more customer support reps and has started to assign some of the ongoing cases to newer reps.
Which generative AI solution should the new support reps use to understand the details of a case without reading through each case comment?

A. Einstein Sales Summaries
B. Einstein Work Summaries
C. Einstein Copilot

正解：B

解説：
New customer support reps atUniversal Containerscan useEinstein Work Summariesto quickly understand the details of a case without reading through each case comment.Work Summariesleverage generative AI to provide a concise overview of ongoing cases, summarizing all relevant information in an easily digestible format.
* Einstein Copilotcan assist with a variety of tasks but is not specifically designed for summarizing case details.
* Einstein Sales Summariesare focused on summarizing sales-related activities, which is not applicable for support cases.
For more details, refer toSalesforce documentation on Einstein Work Summaries.

質問 # 18
An AI Specialist turned on Einstein Generative AI in Setup. Now, the AI Specialist would like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu.
What is causing the problem?

A. The large language model (LLM) was not configured correctly in Data Cloud.
B. The Prompt Template User permission set was not assigned correctly.
C. The Prompt Template Manager permission set was not assigned correctly.

正解：C

解説：
In order to access and create custom prompt templates in Prompt Builder, the AI Specialist must have the Prompt Template Manager permission set assigned. Without this permission, they will not be able to access Prompt Builder in the Setup menu, even though Einstein Generative AI is enabled.
Option B is correct because the Prompt Template Manager permission set is required to use Prompt Builder.
Option A (Prompt Template User permission set) is incorrect because this permission allows users to use prompts, but not create or manage them.
Option C (LLM configuration in Data Cloud) is unrelated to the ability to access Prompt Builder.
Reference:
Salesforce Prompt Builder Permissions: https://help.salesforce.com/s/articleView?id=sf.prompt_builder_permissions.htm

質問 # 19
Universal Containers aims to streamline the sales team's daily tasks by using AI.
When considering these new workflows, which improvement requires the use of Prompt Builder?

A. Populate an Al-generated time-to close estimation to opportunities
B. Populate an Al generated lead score for new leads.
C. Populate an AI generated summary field for sales contracts.

正解：C

解説：
Prompt Builder is explicitly required to create AI-generated summary fields via prompt templates. These fields use natural language instructions to extract or synthesize information (e.g., summarizing contract terms). Time-to-close estimations (A) and lead scores (C) are typically handled by predictive AI (e.g., Einstein Opportunity Scoring) or analytics tools, which do not require Prompt Builder.

質問 # 20
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. Call Explorer
C. Einstein Sales Insights

正解：B

解説：
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

質問 # 21
An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting.
What should the AI Specialist do to identify the root cause of the problem?

A. In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.
B. In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information.
C. Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.

正解：A

解説：
When troubleshooting acopilot custom actionusing flow as the reference action type, enablingdynamic debuggingwithinCopilot Builder's Dynamic Panelis the most effective way to identify the root cause. By turning on dynamic debugging, the AI Specialist can see detailed logs showing both theinputs and outputsof the flow, which helps identify where the action might be failing or not delivering the expected results.
* Option B, confirming selected actions and observing the Input and Output sections, is useful for monitoring flow configuration but does not provide the deep diagnostic details available with dynamic debugging.
* Option C, verifying the user utterance and reviewing session event logs, could provide helpful context, but dynamic debugging is the primary tool for identifying issues with inputs and outputs in real time.
Salesforce AI Specialist References:To explore more about dynamic debugging in Copilot Builder, see:
https://help.salesforce.com/s/articleView?id=sf.copilot_custom_action_debugging.htm

質問 # 22
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