AZ-204 Practice Question: Monitor, troubleshoot, and optimize Azure solutions
You are monitoring an Azure Web App with Application Insights. You notice a sudden spike in failed requests. You need to quickly identify which specific URL path is causing the most failures. Which blade in the Application Insights portal should you use?
⚠ Common exam trap
A common mix-up: candidates confuse the Failures blade with the Performance blade, assuming performance metrics (like slow requests) are the root cause of failures, but the question explicitly asks for identifying failed requests by URL path, which is the sole purpose of the Failures blade.
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
✓
Failures blade
The Failures blade in Application Insights is specifically designed to analyze failed requests, including HTTP 4xx and 5xx errors, and provides a breakdown by URL path, response code, and failure count. This allows you to quickly identify the specific URL path causing the most failures, which directly addresses the need to pinpoint the problematic endpoint.
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 dependencies between application components and external resources, showing their health and average performance. While it highlights failing components at a high level, it aggregates failures at a service or component level and lacks the granular detail to quickly identify specific failing URL paths within a web app, especially during a spike. Its primary purpose is high-level topology and health overview, not detailed failure analysis by individual endpoint.
- ✓
Failures blade
Why this is correct
The Failures blade in Application Insights is specifically engineered for detailed analysis of failed requests and exceptions within your application. It automatically groups failures by operation name, response code, and URL path, providing metrics like failure count and impact. This functionality allows developers to quickly pinpoint the most problematic endpoints, view associated samples, and drill down into specific error details, making it the ideal tool for identifying the most failing URL path during a historical spike.
- ✗
Performance blade
Why it's wrong here
The Performance blade primarily focuses on the latency and throughput of requests, dependencies, and operations within your application. It helps identify slow operations or bottlenecks by showing average response times, request counts, and resource consumption. While poor performance can sometimes correlate with failures, this blade does not directly categorize or highlight *failed* requests by URL path; its emphasis is on successful request duration and overall application responsiveness, not error diagnostics.
- ✗
Live Metrics Stream
Why it's wrong here
Live Metrics Stream offers real-time, unaggregated telemetry data, including requests, failures, and performance counters, with a minimal delay. While it shows failures as they happen, it's a streaming view designed for immediate operational monitoring rather than historical analysis or aggregated reporting. Identifying the "most failing URL path" during a past spike requires aggregated historical data and grouping capabilities, which Live Metrics Stream does not provide effectively for retrospective analysis.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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