Connect to and consume Azure services and third-party services →mediumMultiple SelectObjective-mapped
AZ-204 Practice Question: Connect to and consume Azure services and third-party services
Which TWO actions can you take to improve the performance of an Azure App Service web app that makes calls to an external API? (Choose two.)
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 async/await patterns in the code to avoid blocking threads.
Options D and E are correct. Caching responses with Azure Cache for Redis reduces redundant API calls, improving performance. Using async/await patterns prevents blocking threads, allowing the web app to handle more concurrent requests efficiently. Option A (connection pooling) can help but is not as directly impactful for performance in this scenario. Option B (parallel requests) may increase load on the API without guaranteed performance gain. Option C (scaling out) increases capacity but does not improve per-request latency or reduce redundant calls.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a connection pool to reuse connections to the API.
Why it's wrong here
Connection pooling is good but not the best option among these.
- ✗
Send multiple requests in parallel to the API.
Why it's wrong here
Parallel requests may increase concurrency but not necessarily improve performance.
- ✗
Scale out the App Service to more instances.
Why it's wrong here
Scaling out improves throughput, not latency per request.
- ✓
Use async/await patterns in the code to avoid blocking threads.
Why this is correct
Async/await improves scalability and responsiveness.
- ✓
Implement caching of API responses using Azure Cache for Redis.
Why this is correct
Caching reduces latency and load on the API.
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