合格させるSalesforce Salesforce-AI-Specialistテスト問題でテストエンジンとPDFを提供中
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Salesforce Salesforce-AI-Specialist 認定試験の出題範囲：
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質問 # 37
Based on the user utterance, "Show me all the customers in New York", which standard Einstein Copilot action will the planner service use?
- A. Select Records
- B. Fetch Records
- C. Query Records
正解：C
解説：
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.
質問 # 38
Universal Containers plans to implement prompt templates that utilize the standard foundation models.
What should the AI Specialist consider when building prompt templates in Prompt Builder?
- A. Ask it to role-play as a character in the prompt template to provide more context to the LLM.
- B. Include multiple-choice questions within the prompt to test the LLM's understanding of the context.
- C. Train LLM with data using different writing styles including word choice, intensifiers, emojis, and punctuation.
正解：C
解説：
When buildingprompt templates in Prompt Builder, it is essential to consider how the Large Language Model (LLM) processes and generates outputs. Training the LLM with variouswriting styles, such as different word choices, intensifiers, emojis, and punctuation, helps the model better understand diverse writing patterns and produce more contextually appropriate responses.
This approach enhances the flexibility and accuracy of the LLM when generating outputs for different use cases, as it is trained to recognize various writing conventions and styles. The prompt template should focus on providing rich context, and this stylistic variety helps improve the model's adaptability.
Options A and B are less relevant because adding multiple-choice questions or role-playing scenarios doesn't contribute significantly to improving the AI's output generation quality within standard business contexts.
For more details, refer to Salesforce'sPrompt Builder documentationand LLM tuning strategies.
質問 # 39
Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls.
How should UC meet this requirement?
- A. Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.
- B. Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.
- C. Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.
正解：A
解説：
To provide the sales team with insights into product and competitor names mentioned during calls, Universal Containers should:
* Enable Einstein Conversation Insights:Activates the feature that analyzes call recordings for valuable insights.
* Enable Sales Recording:Allows calls to be recorded within Salesforce without needing an external recording provider.
* Assign Permission Sets:Grants the necessary permissions to sales team members to access and utilize conversation insights.
* Customize Insights:Configure the system to track mentions of up to50 productsand50 competitors, providing tailored insights relevant to the organization's needs.
OptionCaccurately reflects these steps. OptionAmentions defining recording managers but omits enabling sales recording within Salesforce. OptionBsuggests connecting a recording provider and limits customization to 25 products, which does not fully meet UC's requirements.
References:
* Salesforce AI Specialist Documentation - Setting Up Einstein Conversation Insights:Provides instructions on enabling conversation insights and sales recording.
* Salesforce Help - Customizing Conversation Insights:Details how to customize insights with up to
50 products and competitors.
* Salesforce AI Specialist Exam Guide:Outlines best practices for implementing AI features like Einstein Conversation Insights in a sales context.
質問 # 40
Universal Containers (UC) plans to send one of three different emails to its customers based on the customer's lifetime value score and their market segment.
Considering that UC are required to explain why an e-mail was selected, which AI model should UC use to achieve this?
- A. Generative model
- B. Predictive model
- C. Predictive model and generative model
正解：B
解説：
Universal Containersshould use aPredictive modelto decide which of the three emails to send based on the customer'slifetime value scoreandmarket segment. Predictive models analyze data to forecast outcomes, and in this case, it would predict the most appropriate email to send based on customer attributes. Additionally, predictive models can provideexplainabilityto show why a certain email was chosen, which is crucial for UC' s requirement to explain the decision-making process.
* Generative modelsare typically used for content creation, not decision-making, and thus wouldn't be suitable for this requirement.
* Predictive modelsoffer the ability to explain why a particular decision was made, which aligns with UC's needs.
Refer toSalesforce's Predictive AI model documentationfor more insights on how predictive models are used for segmentation and decision making.
質問 # 41
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 findthat the draft email containsplaceholders 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 does not have permission to access the fields.
- B. The user's locale language is not supported by Prompt Builder.
- C. The user does not have Einstein Sales Emails permission assigned.
正解：A
解説：
When usingEinstein Generative AIto create personalized emails, if placeholders appear in the draft email where data from a recipient'sContactrecord should be, the most likely reason is that theuser 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 Bis 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.
References:
* Salesforce Email Template and Permissions Documentation:https://help.salesforce.com/s/articleView?
id=sf.email_templates_field_permissions.htm
質問 # 42
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. Record Summary
- C. Field Generation
正解：C
解説：
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
質問 # 43
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. Record Summary
- C. Field Generation
正解：C
質問 # 44
Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates.
Which type of flow should UC use?
- A. Data Cloud-triggered flow
- B. Unified-object linking flow
- C. Template-triggered prompt flow
正解：A
解説：
In this scenario,Universal Containerswants to bring data fromunified Data Cloud objectsinto prompt templates, and the best way to do that is through aData Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects.
Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts.
For more detailed guidance, refer to Salesforce documentation onData Cloud-triggered flowsandData Cloud integrationswith generative AI solutions.
質問 # 45
Universal Container (UC) has effectively utilized prompt templates to update summary fields on Lightning record pages. An admin now wishes to incorporate similar functionality into UC's automation process using Flow.
How can the admin get a response from this prompt template from within a flow to use as part of UC's automation?
- A. Flow Action
- B. Einstein for Flow
- C. Invocable Apex
正解：B
解説：
* Context of the Question
* Universal Container (UC) has used prompt templates to update summary fields on record pages.
* Now, the admin wants to incorporate similar generative AI functionality within a Flow for automation purposes.
* How to Call a Prompt Template Within a Flow
* Flow Action: Salesforce provides a standard way to invoke generative AI templates or prompts within a Flow step. From the Flow Builder, you can add an "Action" that references the prompt template you created in Prompt Builder.
* Other Options:
* Invocable Apex: Possible fallback if there's no out-of-the-box Flow Action available.
However, Salesforce is releasing native Flow integration for AI prompts, making custom Apex less necessary.
* Einstein for Flow: A broad label for Salesforce's generative AI features within Flow.
Under the hood, you typically use a "Flow Action" that points to your prompt.
* Conclusion
* The easiest out-of-the-box solution is to use a Flow Action referencing the prompt template.
Hence, Option B is correct.
Salesforce AI Specialist References & Documents
* Salesforce Trailhead: Use Prompt Templates in FlowDemonstrates how to add an Action in Flow that calls a prompt template.
* Salesforce Documentation: Einstein GPT for FlowExplains standard flow actions to invoke and handle generative AI responses.
質問 # 46
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. Create a flow to retrieve the opportunity information.
- B. Select the Account Opportunity object as a resource when creating the prompt template.
- C. Select the latest Opportunities related list as a merge field.
正解：A
解説：
To gather the necessary data for populating theLatest Opportunities Summarycustom field on theAccount object with information from the three most recently opened opportunities, the AI Specialist shouldcreate a flow. Aflowcan 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 aprompt templateor other automation processes to populate the custom field on the Account record.
* Option Ais correct because creating a flow allows for dynamic data retrieval and control over the logic for selecting the most recent opportunities.
* Option BandOption Cdo not provide sufficient control or data retrieval capabilities needed for this scenario.
References:
* Salesforce Flow Documentation:https://help.salesforce.com/s/articleView?id=sf.flow.htm
質問 # 47
Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a prompt template.
What should the AI Specialist recommend?
- A. Create a prompt template-triggered flow to access the data from standard and custom objects.
- B. Create a Flex template to add resources with standard and custom objects as inputs.
- C. Create a prompt template passing in a special custom object that connects the records temporarily,
正解：B
解説：
Universal Containers needs to generate a sales proposal using data from multiple unrelated standard and custom objects within a prompt template. The most effective way to achieve this is by using a Flex template.
Flex templates in Salesforce allow AI specialists to create prompt templates that can accept inputs from multiple sources, including various standard and custom objects. This flexibility enables the direct use of data from unrelated objects without the need to create intermediary custom objects or complex flows.
Reference:
Salesforce AI Specialist Documentation - Flex Templates: Explains how Flex templates can be utilized to incorporate data from multiple sources, providing a flexible solution for complex data requirements in prompt templates.
質問 # 48
An AI Specialist is setting up a new org and needs to ensure that users can create and execute prompt templates. The AI Specialist is unsure which roles are necessary for these tasks.
Which permission sets should the AI Specialist assign to users who need to create and execute prompt templates?
- A. Prompt Template Manager for creating templates and Prompt Template User for executing templates
- B. Prompt Template Manager for creating templates and Data Cloud Admin for executing templates
- C. Data Cloud Admin for creating templates and Prompt Template User for executing templates
正解：A
解説：
To effectively manage and use prompt templates, two distinct permission sets are required:
* Prompt Template Manager: This permission set allows users to create prompt templates. It provides the necessary access to define templates, which can be shared and utilized across the organization.
* Prompt Template User: This permission set is designed for users who need to execute the templates. It provides the ability to interact with pre-designed prompts and generate outcomes based on these templates.
TheData Cloud Adminpermission set is not directly relevant to creating or executing prompt templates but is more focused on managing the Data Cloud.
質問 # 49
What is the role of the large language model (LLM) in executing an Einstein Copilot Action?
- A. Determine a user's access and sort actions by priority to be executed
- B. Find similar requests and provide actions that need to be executed
- C. Identify the best matching actions and correct order of execution
正解：C
解説：
In Einstein Copilot, the role of the Large Language Model (LLM) is to analyze user inputs and identify the best matching actions that need to be executed. It uses natural language understanding to break down the user's request and determine the correct sequence of actions that should be performed.
By doing so, the LLM ensures that the tasks and actions executed are contextually relevant and are performed in the proper order. This process provides a seamless, AI-enhanced experience for users by matching their requests to predefined Salesforce actions or flows.
The other options are incorrect because:
A mentions finding similar requests, which is not the primary role of the LLM in this context.
C focuses on access and sorting by priority, which is handled more by security models and governance than by the LLM.
Reference:
Salesforce Einstein Documentation on Einstein Copilot Actions
Salesforce AI Documentation on Large Language Models
質問 # 50
An AI Specialist configured Data Masking within the Einstein Trust Layer.
How should the AI Specialist begin validating that the correct fields are being masked?
- A. Use a Flow-based resource in Prompt Builder to debug the fields' merge values using Flow Debugger.
- B. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.
- C. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.
正解：B
解説：
To begin validating that the correct fields are being masked in Einstein Trust Layer, the AI Specialist should request the Einstein Generative AI Audit Data from the Security section of the Salesforce Setup menu. This audit data allows the AI Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected.
Option B is correct because it allows for the retrieval of audit data that can be used to validate data masking.
Option A (Flow Debugger) and Option C (Einstein Feedback) do not relate to validating field masking in the context of the Einstein Trust Layer.
Reference:
Salesforce Einstein Trust Layer Documentation: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.htm
質問 # 51
Universal Containers plans to enhance its sales team's productivity using Al.
Which specific requirement necessitates the use of Prompt Builder?
- A. Predicting the likelihood of customers churning or discontinuing their relationship with the company
- B. Creating an estimated Customer Lifetime Value (CLV) with historical purchase data
- C. Creating a draft newsletter for an upcoming tradeshow
正解：C
質問 # 52
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2026年最新の実際に出る検証済みの無料Salesforce Salesforce-AI-Specialist試験問題：https://drive.google.com/open?id=1-3VE9y59D5JletaziT4nRtja15Wl6FS8