Quick Answer
The answer is a Log Analytics workspace. This is the correct choice because it functions as the central Kusto query location for Azure logs, ingesting and consolidating data from diverse sources such as Azure AD sign-in logs, VM performance counters from Azure Monitor, and Azure Activity Logs into a single repository. By supporting Kusto Query Language (KQL), it enables your operations team to run complex, cross-source queries across all this telemetry without needing separate tools. On the AZ-104 exam, this question tests your understanding of Azure Monitor’s architecture and the distinction between a Log Analytics workspace (for storage and querying) and a diagnostic setting (which only routes logs). A common trap is confusing the workspace with Azure Sentinel or a storage account, but remember: if the requirement is to query logs with KQL, you need a Log Analytics workspace. Memory tip: think of it as the “single pane of glass” for all your Azure log data.
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 needs to run Kusto queries across collected sign-in logs, VM performance counters, and Azure Activity Log data in a central location. What should you deploy?
A Log Analytics workspace
This is the service designed for centralized log retention and KQL-based analysis.
An availability zone
Why wrong: Availability zones improve resiliency, not analytics.
A NAT gateway
Why wrong: A NAT gateway handles outbound connectivity, not logging.
A standard public IP address
Why wrong: A public IP address does not store or query logs.
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 central repository in Azure that ingests and stores diagnostic data from multiple sources, including sign-in logs (Azure AD), VM performance counters (Azure Monitor for VMs), and Azure Activity Logs. It supports Kusto Query Language (KQL) for running complex queries across all collected data, making it the correct choice for this requirement.
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 service designed for centralized log retention and KQL-based analysis.
Related concept
Read the scenario before looking for a memorised answer.
An availability zone
Why it's wrong here
Availability zones improve resiliency, not analytics.
A NAT gateway
A standard public IP address
Why it's wrong here
A public IP address does not store or query logs.
Common exam traps
The trap here is that candidates may confuse a Log Analytics workspace with other networking or compute resources, thinking a NAT gateway or public IP is needed for data ingestion, when in fact Azure Monitor agents and diagnostic settings send data directly to the workspace without requiring public internet exposure.
Detailed technical explanation
Under the hood, a Log Analytics workspace stores data in Azure Data Explorer clusters optimized for KQL queries, with retention policies configurable per table (e.g., 30 days for Activity Logs, 90 days for sign-in logs). In a real-world scenario, you can use cross-workspace queries to join data from multiple workspaces, but for centralized querying, a single workspace is simpler and avoids latency from distributed queries.
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 central repository in Azure that ingests and stores diagnostic data from multiple sources, including sign-in logs (Azure AD), VM performance counters (Azure Monitor for VMs), and Azure Activity Logs. It supports Kusto Query Language (KQL) for running complex queries across all collected data, making it the correct choice for this requirement.
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
This AZ-104 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AZ-104 exam.
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