AZ-204 Practice Question: Monitor, troubleshoot, and optimize Azure solutions
You are investigating a slow API call in your Azure web app. Application Insights shows that the request took 10 seconds. You need to view all the dependencies (database calls, external HTTP requests) that contributed to this request. What should you use?
⚠ Common exam trap
Many candidates confuse Application Map (a high-level topology view) with the detailed dependency drill-down available in Transaction Search, leading them to choose A when they need to see the specific calls and timings for a single request.
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
✓
Transaction Search
Transaction Search (now part of the 'Search' experience in Application Insights) allows you to query individual requests and drill into their correlated dependency calls, such as SQL queries or external HTTP requests, showing the exact duration and sequence of each dependency. This is the correct tool to identify which specific dependencies contributed to the 10-second request latency.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Application Map
Why it's wrong here
Application Map visualizes the components of your distributed application and their interactions, showing average performance and failure rates between services. While excellent for identifying problematic services or bottlenecks at a high level, it aggregates data and does not provide the granular, per-request details needed to diagnose a specific slow API call's full transaction trace. It's designed for understanding system architecture and overall health, not individual request debugging.
- ✗
Live Metrics
Why it's wrong here
Live Metrics provides a real-time stream of telemetry data, including request rates, response times, and failures, with a minimal delay of about one second. This feature is invaluable for monitoring the immediate health and performance of your application as it happens. However, it is designed for current operational insights and does not offer the capability to search for and analyze the full trace of a specific historical request that occurred previously.
- ✓
Transaction Search
Why this is correct
Transaction Search in Application Insights is the ideal tool for investigating a specific slow API call because it allows you to locate individual requests using criteria like request ID, URL, or duration. Once identified, it provides a comprehensive end-to-end transaction trace, detailing all operations, dependencies (like database calls or external HTTP requests), and their respective durations within that single request. This granular view is crucial for pinpointing the exact bottleneck responsible for the slowness.
- ✗
Usage Analysis
Why it's wrong here
Usage Analysis features within Application Insights, such as Users, Sessions, and Funnels, are designed to help you understand user engagement patterns, demographics, and retention. These tools provide insights into how users interact with your application over time and their journey through different features. However, they are not equipped to diagnose the performance characteristics or trace the execution path of an individual slow API call, as their focus is on aggregated user behavior rather than system-level performance debugging.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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