Salesforce Salesforce-AI-Specialist 問題集

質問 1：
How should an organization use the Einstein Trust layer to audit, track, and view masked data?
A. In Setup, use Prompt Builder to send a prompt to the LLM requesting for the masked data.
B. Access the audit trail in Setup and export all user-generated prompts.
C. Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud.
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 2：
An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client.
How should the AI Specialist integrate the custom LLM into Salesforce?
A. Add the fine-tuned LLM in Einstein Studio Model Builder.
B. Enable model endpoint on OpenAl and make callouts to the model to generate emails.
C. Create an application of the custom LLM and embed it in Sales Cloud via iFrame.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 3：
Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases.
Which feature should the AI Specialist set up to enable UC's sales team?
A. Call Summaries
B. Call Explorer
C. Call Insights
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 4：
An AI Specialist wants to include data from the response of external service invocation (REST API callout) into the prompt template.
How should the AI Specialist meet this requirement?
A. Convert the JSON to an XML merge field.
B. Use "Add Prompt Instructions" flow element.
C. Use External Service Record merge fields.
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 5：
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 and generative model
C. Predictive model
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 6：
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 Prompt Builder and Prompt Templates
C. Einstein Copilot Action: Query Records
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 7：
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 BYO-LLM functionality in Einstein Studio,
C. Use Flow and External Services to bring data from an external LLM.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 8：
Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-powered predictions in Einstein Studio.
Which use case works for this scenario?
A. Predict most popular products from new product catalog.
B. Predict customer sentiment toward a promotion message.
C. Predict customer lifetime value of an account.
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 9：
Based on the user utterance, "Show me all the customers in New York", which standard Einstein Copilot action will the planner service use?
A. Query Records
B. Fetch Records
C. Select Records
正解：A
解説: (Topexam メンバーにのみ表示されます)