You plan to collect and analyze event details for five Azure virtual machines.
You need to run queries to compare the event details collected from all the virtual machines.
Which two tools should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Click on the arrows to vote for the correct answer
A. B. C. D. E.CE
To compare event details collected from Azure virtual machines, you should use Azure Monitor (C) and Log Analytics (E).
In the given scenario, you can configure Azure Monitor to collect event details from the five Azure virtual machines. Azure Monitor will gather events related to the virtual machines' operations, configurations, and errors. It provides a centralized platform to view and analyze these events.
You can create a Log Analytics workspace and connect it to Azure Monitor. This workspace acts as a central repository for the event data. Once the event details are collected, you can run queries using the powerful query language provided by Log Analytics. These queries enable you to compare the event details across the five virtual machines, filter and aggregate the data, and extract insights from the collected events.
Therefore, in order to compare the event details collected from the Azure virtual machines, you should use Azure Monitor (C) to capture the events and Log Analytics (E) to store and query the event data.
To collect and analyze event details for Azure virtual machines and run queries to compare the event details collected from all virtual machines, you should use Azure Monitor and Log Analytics.
Azure Monitor is a service that provides a comprehensive solution for collecting, analyzing, and acting on telemetry from cloud and on-premises environments. It collects data from various sources such as Azure virtual machines, applications, and Azure services. With Azure Monitor, you can set up alerts, create dashboards, and analyze performance and usage data.
Log Analytics is a feature within Azure Monitor that provides a powerful query language, known as Kusto Query Language (KQL), to extract insights from the data collected by Azure Monitor. It can be used to analyze data from various sources, including Azure virtual machines, and provides rich visualization options to help you gain insights into your data. You can use Log Analytics to run queries to compare the event details collected from all virtual machines.
Azure Service Health, Azure Service Bus, and Azure Advisor are not directly related to collecting and analyzing event details for Azure virtual machines. Azure Service Health provides personalized alerts and guidance when Azure service issues affect your resources. Azure Service Bus is a messaging service that enables you to decouple and scale microservices, distributed systems, and serverless applications. Azure Advisor is a personalized cloud consultant that helps you follow best practices to optimize your Azure resources for high availability, security, performance, and cost.