SF-Admin Agentforce AI Practice Question
Northern Trail Outfitters wants its Agentforce Service Agent to summarize a long customer chat and store the summary on the related case for human agents. The administrator needs the summary to be generated by the model and then written to a field. Which approach should the administrator use to accomplish both steps reliably?
⚠ Common exam trap
The trap here is expecting a single feature to both generate model text and write it to a record, when generation and record updates are handled by separate Agentforce capabilities.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use a Prompt Template to generate the summary text, then pass its output into an Agent Action that updates the case field.
Generating a summary and persisting it requires two capabilities: model-based text generation and a deterministic record update. A Prompt Template produces the summary, and an Agent Action can consume that output and write it to the case field. Calculated insights, Einstein Activity Capture, and static instructions cannot generate a dynamic summary and store it on the record.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Add the summary as a static instruction in the Topic so the agent repeats it at the end of every session.
Why it's wrong here
Static instructions are fixed text and cannot generate a summary of a variable conversation, nor can they write to a case field. The agent would repeat the same wording regardless of content. This does not produce a dynamic summary or persist it.
- ✓
Use a Prompt Template to generate the summary text, then pass its output into an Agent Action that updates the case field.
Why this is correct
A Prompt Template produces the model-generated summary, and an Agent Action can take that output as input and write it to the case field. Combining generation with a deterministic write action accomplishes both steps reliably. This is the supported pattern for generating content and persisting it to a record.
- ✗
Enable Einstein Activity Capture to automatically summarize the chat and update the case.
Why it's wrong here
Einstein Activity Capture syncs email and calendar activity to Salesforce; it does not summarize agent conversations or update case fields with generated text. It has no mechanism to produce a chat summary. This would not satisfy the requirement.
- ✗
Configure a Data Cloud calculated insight to write the summary directly to the case field.
Why it's wrong here
Data Cloud calculated insights compute metrics and attributes over data, not free-text conversation summaries, and they do not write generated text to a Salesforce case field in real time. This does not produce a model-generated summary or persist it. The approach does not meet the requirement.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Salesforce exam blueprint
This SF-Admin practice question is part of Courseiva's free Salesforce certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SF-Admin exam.