Salesforce Salesforce-AI-Specialist 問題集

質問 1：
An AI Specialist at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time. UC wants to help prep the sales team for the calls by summarizing past purchases, interests in products shown by the Contact captured via Data Cloud, and a recap of past email and phone conversations for which there are transcripts.
Which approach should the AI Specialist recommend to achieve this use case?
A. Fine-Tune the standard foundational model due to the complexity of the data.
B. Deploy UC's own custom foundational model on this data first.
C. Use a prompt template grounded on CRH and Data Cloud data using standard foundation model.
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 2：
Universal Container's internal auditing team asks an AI Specialist to verify that address information is properly masked in the prompt being generated.
How should the AI Specialist verify the privacy of the masked data in the Einstein Trust Layer?
A. Enable data encryption on the address field
B. Inspect the AI audit trail
C. Review the platform event logs
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 3：
Universal Containers (UC) is implementing generative AI and wants to leverage a prompt template to provide responses to customers that gives personalized product recommendations to website visitors based on their browsing history.
Which initial step should UC take to ensure the chatbot can deliver accurate recommendations'
A. Collect and analyze browsing data.
B. Design universal product recommendations.
C. Write a response scrip for the chatbot.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 4：
Universal Containers, dealing with a high volume of chat inquiries, implements Einstein Work Summaries to boost productivity.
After an agent-customer conversation, which additional information does Einstein generate and fill, apart from the "summary"'
A. Draft Survey Request Email
B. Issue and Revolution
C. Sentiment Analysis and Emotion Detection
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 5：
An AI Specialist at Universal Containers is trying to set up a new Field Generation prompt template. They take the following steps.
1. Create a new Field Generation prompt template.
2. Choose Case as the object type.
3. Select the custom field AI_Analysis_c as the target field.
After creating the prompt template, the AI Specialist saves, tests, and activates it. Howsoever, when they go to a case record, the AI Analysis field does not show the (Sparkle) icon on the Edit pencil. When the AI Specialist was editing the field, it was behaving as a normal field.
Which critical step did the AI Specialist miss?
A. They forgot that the Case Object is not supported for Add generation as Feinstein Service Replies should be used instead.
B. They forgot to edit the Lightning page layout and associate the field to a prompt template
C. They forgot to reactivate the Lightning page layout for the Case object after activating their Field Generation prompt template.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 6：
Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base.
Which AI capability should UC use?
A. Einstein Generative Service Replies for Email
B. Einstein Email Replies
C. Einstein Service Replies for Email
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 7：
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 passing in a special custom object that connects the records temporarily,
B. Create a Flex template to add resources with standard and custom objects as inputs.
C. Create a prompt template-triggered flow to access the data from standard and custom objects.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 8：
Universal Containers (UC) noticed an increase in customer contract cancellations in the last few months. UC is seeking ways to address this issue by implementing a proactive outreach program to customers before they cancel their contracts and is asking the Salesforce team to provide suggestions.
Which use case functionality of Model Builder aligns with UC's request?
A. Customer churn prediction
B. Product recommendation prediction
C. Contract Renewal Date prediction
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 9：
Universal Containers (UC) is tracking web activities in Data Cloud for a unified contact, and wants to use that in a prompt template to help extract insights from the data.
Assuming that the Contact object is one of the objects associated with the prompt template, what is a valid way for DC to do this?
A. Create a prompt template that takes a list of all Data Cloud activity records as input to pass to the large language model (LLM).
B. Add the activity records as an enrichment related list to the Contact then pass the Contact into a prompt template workspace using related list grounding.
C. Call the prompt directly from Data Cloud with a web tracing activity included in the prompt definition.
正解：B
解説: (Topexam メンバーにのみ表示されます)