Explore how Azure Monitor utilizes Log Analytics to efficiently organize log data, empowering you to craft complex queries with KQL and seamlessly monitor virtual machine logs across diverse platforms.
Your company operates a large web farm with over 100 virtual machines. They’ve decided to use Log Analytics in Azure Monitor to configure their input data sources. You’re developing queries with the Kusto query language (KQL) to filter and evaluate the virtual machine log data. Here are some of the tasks and considerations you need to address:
- You need a complex query to monitor the virtual machine logs and view the data in different models.
- You’re investigating scenarios for using Log Analytics agents.
- The website team has asked for a summary of options to organize the log data in Azure Monitor.
Question 1
How does Azure Monitor organize log data?
A. Event queues
B. Text files
C. Tables
Answer
C. Tables
Explanation
Azure Monitor log data organizes data by using tables.
A is incorrect. Azure Monitor log data doesn’t use event queues. Is there a more structured option?
B is incorrect. Text files aren’t an efficient way to organize log data.
Question 2
What KQL commands build an aggregation of input data and produce visuals for query results?
A. summarize and render
B. aggregate and visualize
C. count and project
Answer
A. summarize and render
Explanation
The summarize operator creates a table that aggregates your input table content. The render operator prepares a visualization of your query results, such as a pie chart, scatter graph, or time pivot.
B is incorrect. You can compose an aggregation function in KQL, and also create visualizations, but aggregate and visualize aren’t recognized commands in KQL.
C is incorrect. The count operator shows the number of records in an input record set. The project operator selects columns to include, drop, or insert.
Question 3
Log Analytics agents can run on which resource?
A. Only on cloud computers
B. On multiple platforms including other cloud providers
C. Only on physical computers
Answer
B. On multiple platforms including other cloud providers
Explanation
Log Analytics agents can run on many different platforms, including other providers.
A is incorrect. Log Analytic agents can also run on on-premises computers.
C is incorrect. Log Analytic agents can also run on virtual computers.
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