This AZ-104 practice question tests your understanding of monitor and maintain azure resources. 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.
Your operations team wants to query collected VM log data by using Kusto Query Language and retain it centrally for analysis. Which Azure resource should you deploy?
A Log Analytics workspace
This is the central log store and query platform for Azure Monitor Logs.
An availability set
Why wrong: Availability sets provide resiliency grouping for VMs, not log analytics.
A local user account on each VM
Why wrong: That does not centralize or query logs.
A network security group
Why wrong: An NSG filters traffic and is unrelated to log retention and analytics.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
A Log Analytics workspace
A Log Analytics workspace is the correct Azure resource because it serves as the central repository for VM log data collected via Azure Monitor agents. It supports Kusto Query Language (KQL) for querying and analyzing the collected data, enabling the operations team to perform advanced log analytics and retention. This aligns directly with the requirement to query and retain VM log data centrally.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
A Log Analytics workspace
Why this is correct
This is the central log store and query platform for Azure Monitor Logs.
Related concept
Read the scenario before looking for a memorised answer.
An availability set
Why it's wrong here
Availability sets provide resiliency grouping for VMs, not log analytics.
A local user account on each VM
Why it's wrong here
That does not centralize or query logs.
A network security group
Why it's wrong here
An NSG filters traffic and is unrelated to log retention and analytics.
Common exam traps
The trap here is that candidates might confuse a Log Analytics workspace with a simple storage account or think that local accounts or NSGs can somehow be used for log aggregation, but only a Log Analytics workspace provides the KQL query engine and central retention required for this scenario.
Detailed technical explanation
Under the hood, a Log Analytics workspace uses a dedicated Azure Data Explorer cluster to store log data in tables optimized for KQL queries. The Azure Monitor Agent (AMA) or legacy Log Analytics agent sends data from VMs to the workspace via HTTPS (port 443) using the Data Collection Rule (DCR) configuration. In a real-world scenario, you can use KQL to join VM performance counters with security events across hundreds of VMs, enabling root-cause analysis that would be impossible with local accounts or NSGs.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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.
What to study next
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FAQ
Monitor and Maintain Azure Resources — This question tests Monitor and Maintain Azure Resources — Read the scenario before looking for a memorised answer..
The correct answer is: A Log Analytics workspace — A Log Analytics workspace is the correct Azure resource because it serves as the central repository for VM log data collected via Azure Monitor agents. It supports Kusto Query Language (KQL) for querying and analyzing the collected data, enabling the operations team to perform advanced log analytics and retention. This aligns directly with the requirement to query and retain VM log data centrally.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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