The correct answer is to provide few-shot examples of multi-step workflows, create higher-level composite functions, and allow the planner to ask clarifying questions. These three strategies directly improve a Semantic Kernel planner’s ability to handle complex multi-step requests by giving it concrete patterns to follow, reducing the orchestration burden through abstraction, and enabling dynamic clarification when user intent is ambiguous. On the Microsoft Azure AI Engineer Associate AI-102 exam, this tests your understanding of how planners use prompts and function composition to scale from simple to complex tasks—a common trap is assuming a simpler prompt or more functions always helps, when in fact fewer, higher-level functions with rich examples yield better results. Remember the mnemonic “FEW, COMP, ASK” to recall: Few-shot examples, Composite functions, and Asking clarifying questions are the three pillars for improving planner performance.
AI-102 Implement an agentic solution Practice Question
This AI-102 practice question tests your understanding of implement an agentic solution. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You are building an agentic solution using Microsoft Semantic Kernel. The agent uses a planner to orchestrate multiple functions. You want to improve the planner's ability to handle complex user requests that involve multiple steps. Which THREE strategies should you implement?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Enable the planner to ask the user for clarification when the request is ambiguous
Options B, C, and E are correct. B: Providing few-shot examples helps the planner understand complex tasks. C: Creating higher-level composite functions reduces the number of steps the planner needs to orchestrate. E: Allowing the planner to ask clarifying questions improves accuracy. Option A is incorrect because a simple prompt reduces capability. Option D is incorrect because limiting functions restricts the planner.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Limit the number of available functions to reduce planning overhead
Why it's wrong here
Limiting functions reduces capability.
✓
Enable the planner to ask the user for clarification when the request is ambiguous
Why this is correct
Clarification improves accuracy.
Related concept
Read the scenario before looking for a memorised answer.
✓
Create composite functions that encapsulate common multi-step sub-tasks
Why this is correct
Composite functions simplify planning.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use a simple, generic prompt to avoid overfitting
Why it's wrong here
Simple prompt may not handle complexity.
✓
Provide few-shot examples of multi-step workflows in the planner prompt
Why this is correct
Few-shot examples guide the planner.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Implement an agentic solution — This question tests Implement an agentic solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Enable the planner to ask the user for clarification when the request is ambiguous — Options B, C, and E are correct. B: Providing few-shot examples helps the planner understand complex tasks. C: Creating higher-level composite functions reduces the number of steps the planner needs to orchestrate. E: Allowing the planner to ask clarifying questions improves accuracy. Option A is incorrect because a simple prompt reduces capability. Option D is incorrect because limiting functions restricts the planner.
What should I do if I get this AI-102 question wrong?
Identify which AI-102 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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