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Strategies for Building Agents: Expanding Your Flows – Test Your Recall

Strategies for Building Agents: Expanding Your Flows – Test Your Recall

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Question 1 of 6

1. Question

What is one common reason traditional Salesforce Flows would stop before AI integration?

A human decision was required.
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Automated data processing halted unexpectedly.
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The system automatically executed fallback logic.
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Flows completed all tasks without any manual input.
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Question 2 of 6

2. Question

Which tool combination now enables the extension and chaining of Salesforce Flows with AI?

Agentforce combined with prompt template actions.
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A simple manual override mechanism integrated with flows.
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Traditional workflows using static picklists only.
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A standalone automation tool without context integration.
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Question 3 of 6

3. Question

Which step involves reviewing why a flow previously ended before introducing AI enhancements?

Identify Why Flows Previously Ended.
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Analyze historical errors and manual intervention records.
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Evaluate system performance metrics during flow execution.
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Assess feedback from users regarding process delays.
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Question 4 of 6

4. Question

Which of the following illustrates a decision point where AI can assist within a flow?

Extracting knowledge from unstructured data like resumes or emails.
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Relying solely on static picklist values for routing decisions.
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Automatically concluding the flow without further evaluation.
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Using fixed field values to bypass the decision process.
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Question 5 of 6

5. Question

What is one best practice for optimizing expanded flows that incorporate AI?

Start with pilot users and gather feedback on the automation steps.
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Immediately deploy full-scale AI integration across all processes without testing.
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Limit the use of prompt templates to avoid complicating the flow unnecessarily.
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Rely exclusively on automated decisions without any human oversight.
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Question 6 of 6

6. Question

In the context of chaining Salesforce Flows, which option best describes integrating AI to automate complex decision-making steps traditionally reserved for humans?

By expanding flows to include AI-powered prompt template actions that gather contextual details and chain multiple flows together, resulting in a continuous and adaptive workflow.
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By creating separate flows that operate independently and require manual initiation at each step.
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By using AI to replace every manual process step without any testing or optimization measures in place.
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By integrating a simple decision tree based solely on predefined data without considering user input.
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