Salesforce Agentforce-Specialist 問題集

質問 1：
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 Agentforce 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 2：
The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history.
Why should the team use Agent as the solution?
A. To generate relevant content when engaging with each customer
B. To send automated emails to all customers
C. To analyze past campaign performance
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 3：
Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation.
Which features should the Agentforce Specialist recommend?
A. Service Replies and Case Summaries
B. Reply Recommendations and Sales Summaries
C. Service Replies and Work Summaries
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 4：
A data science team has trained an XGBoost classification model for product recommendations on Databricks. The Agentforce Specialist is tasked with bringing inferences for product recommendations from this model into Data Cloud as a stand-alone data model object (DMO).
How should the Agentforce Specialist set this up?
A. Create the serving endpoint in Einstein Studio, then configure the model using Model Builder.
B. Create the serving endpoint in Databricks, then configure the model using Model Builder.
C. Create the serving endpoint in Databricks, then configure the model using a Python SDK connector.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 5：
How does an Agent respond when it can't understand the request or find any requested information?
A. With a preconfigured message, based on the action type.
B. With a general message asking the user to rephrase the request.
C. With a generated error message.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 6：
A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Agent capability helps the agent accomplish this?
A. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
B. Invoke a flow which makes a call to external data to create a Knowledge article.
C. Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.
正解：C
解説: (Topexam メンバーにのみ表示されます)

質問 7：
Which scenario best demonstrates when an Agentforce Data Library is most useful for improving an AI agent' s response accuracy?
A. When the AI agent must provide answers based on a curated set of policy documents that are stored, regularly updated, and indexed in the data library.
B. When data is being retrieved from Snowflake using zero-copy for vectorization and retrieval.
C. When the AI agent needs to combine data from disparate sources based on mutually common data, such as Customer Id and Product Id for grounding.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 8：
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 9：
Universal Containers would like to route a service agent conversation to a human agent queue. Which tool connects the service agent to the human agent queue for escalation?
A. Screen Flow
B. Prompt Flow
C. Outbound Omni-Channel Flow
正解：C
解説: (Topexam メンバーにのみ表示されます)