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Last Updated: Aug 20, 2026
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| Section | Weight | Objectives |
|---|---|---|
| Einstein Trust Layer & Security | - Data Masking
| |
| Reasoning Engine & AI Actions | - Workflow mastery
| |
| Agent Force Concepts | 30% | - Einstein GPT Integration
|
| Prompt Engineering | 30% | - Prompt Builder & Template Creation
|
1. Universal Containers wants an AI agent to answer questions about warranties using unstructured data stored in Data Cloud. Results must be filterable by product line and ranked by recent updates.
A) Apply semantic embeddings with default metadata filters to achieve the desired result.
B) Use the default retriever which automatically accounts for recency ranking.
C) Build a custom retriever in Einstein Studio with product line filters and recency ranking.
2. 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 customer sentiment toward a promotion message.
B) Predict most popular products from new product catalog.
C) Predict customer lifetime value of an account.
3. Universal Containers (UC) needs to save agents time with AI-generated case summaries. UC has implemented the Work Summary feature. What does Einstein consider when generating a summary?
A) Generation is grounded with existing conversation context only.
B) Generation is grounded with conversation context, Knowledge articles, and cases.
C) Generation is grounded with conversation context and Knowledge articles.
4. A service manager wants to use Salesforce Prompt Builder to help agents summarize customer case notes after a support call.
The summary should:
- Capture the customer's issue, troubleshooting steps taken, and next
actions.
- Be no longer than five sentences.
- Use plain language (no technical jargon).
If no next action is identified, the summary should explicitly state "No next action required." Which prompt template follows Salesforce prompt design best practices?
A) Role: You are a case documentation assistant.
Task: Write a summary of the support call.
Context: Always describe the customer issue, troubleshooting, and resolution details.
Constraints: The summary should be comprehensive and professional, but there is no limit on length or language style.Format: Use complete sentences in a narrative style.
B) Role: You are a support agent writing a case summary.
Task: Provide a professional summary of the issue and troubleshooting steps.
Contest: Include customer issue, steps taken, and next actions if available.
Constraints: No strict sentence limit, but use plain language. If no next action is found, leave it out.
Format: Use paragraphs for readability.
C) Role: You are an experienced support agent.
Task: Summarize the case notes,
Context: Include customer issue, troubleshooting steps, and next actions.
Constraints: Limit to 5 sentences, use plain language, and if no next action is found, state "No next action required." Format: Use numbered sentences for clarity.
5. After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?
A) A data connector, an analytics dashboard, and a workflow rule
B) A data stream, a search index, and a retriever
C) A data pipeline, an indexing engine, and a query processor
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: C | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: B |
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