The answer is Azure Monitor and Application Insights. Azure Monitor serves as the unified platform for collecting metrics and logs from all Azure resources, including Virtual Machines and Azure SQL Database, while Application Insights extends this with application performance management and built-in machine learning anomaly detection, such as Smart Detection, for proactive alerting. Together, they fulfill the requirement for a monitoring solution with anomaly detection by providing a single pane of glass for telemetry and ML-driven insights that automatically surface irregularities. On the AZ-305 exam, this pairing tests your understanding of how to layer application-level intelligence on top of infrastructure monitoring; a common trap is choosing only Azure Monitor and forgetting that Application Insights is needed for the ML-based anomaly detection specifically tied to application behavior. Remember the mnemonic “Monitor for the machine, Insights for the app” to keep the distinction clear.
AZ-305 Practice Question: Design identity, governance, and monitoring solutions
This AZ-305 practice question tests your understanding of design identity, governance, and monitoring solutions. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 designing a monitoring solution for a multi-region application deployed on Azure Virtual Machines and Azure SQL Database. The solution must provide a unified view of metrics and logs from all resources, detect anomalies using machine learning, and send alerts to the operations team. Which TWO capabilities should you include in the design?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Azure Application Insights
Azure Monitor is the core platform for collecting, analyzing, and acting on telemetry from Azure resources, including metrics and logs from VMs and SQL Database. Application Insights extends Azure Monitor with application performance management (APM) and built-in machine learning anomaly detection (e.g., Smart Detection) for proactive alerting. Together, they provide a unified monitoring view with ML-driven insights.
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.
✗
Azure Service Health
Why it's wrong here
Service Health provides status of Azure services, not application-level monitoring.
✓
Azure Application Insights
Why this is correct
Application Insights, part of Azure Monitor, provides application performance monitoring and anomaly detection.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Security Center
Why it's wrong here
Security Center focuses on security posture, not general monitoring.
✓
Azure Monitor
Why this is correct
Azure Monitor is the central service for collecting and analyzing metrics and logs from Azure resources.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Log Analytics
Why it's wrong here
Log Analytics is a workspace within Azure Monitor, not a standalone service.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Log Analytics as a separate monitoring service rather than recognizing it as a component of Azure Monitor, leading them to select it as an independent capability instead of Azure Monitor itself.
Detailed technical explanation
How to think about this question
Azure Monitor ingests metrics via the Azure Monitor Metrics API (using the Azure Resource Manager REST API) and logs via the Log Analytics agent or Azure Diagnostics extension. Application Insights uses the Application Insights SDK to collect telemetry (e.g., requests, dependencies, exceptions) and applies machine learning models (e.g., Smart Detection) to automatically detect anomalies like failed request spikes or performance degradations. In a multi-region scenario, you can use Azure Monitor Workbooks to create cross-region dashboards and Application Insights Availability Tests to monitor endpoints globally.
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.
TExam Day Tips
→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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AZ-305 question in full detail.
Design identity, governance, and monitoring solutions — This question tests Design identity, governance, and monitoring solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure Application Insights — Azure Monitor is the core platform for collecting, analyzing, and acting on telemetry from Azure resources, including metrics and logs from VMs and SQL Database. Application Insights extends Azure Monitor with application performance management (APM) and built-in machine learning anomaly detection (e.g., Smart Detection) for proactive alerting. Together, they provide a unified monitoring view with ML-driven insights.
What should I do if I get this AZ-305 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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