AI-102 Implement an agentic solution Practice Question
You are troubleshooting an agentic solution where the agent is not returning responses within acceptable time limits. You suspect the agent is making too many sequential calls to external tools. Which strategy should you recommend to reduce latency?
⚠ Common exam trap
Watch out — candidates often confuse throughput improvements (like adding tools or increasing token limits) with latency reduction, when the real bottleneck is the sequential dependency of tool calls.
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
✓
Enable parallel tool execution
Enabling parallel tool execution allows the agent to invoke multiple external tools simultaneously rather than sequentially, directly reducing the total latency caused by serial tool calls. This is a core optimization in agentic frameworks like Semantic Kernel or AutoGen, where tool calls are independent and can be dispatched concurrently.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the max token limit
Why it's wrong here
Token limit affects response length, not tool call latency.
- ✓
Enable parallel tool execution
Why this is correct
Parallel execution allows the agent to invoke multiple tools simultaneously.
- ✗
Add more tools to distribute the load
Why it's wrong here
More tools may increase complexity and latency.
- ✗
Reduce the thread history length
Why it's wrong here
This might affect context but does not directly reduce tool call latency.
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Senior Network & Security Engineer · founder of Courseiva
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