Azure Data Scientists Associate Practice Exam

In Azure ML, which service allows you to manage application insights?

1. mlStorage

2. mlKeyVault

3. mlACR

4. mlAppInsights

The correct answer is: mlAppInsights

In Azure ML, the service designated for managing application insights is indeed labeled as mlAppInsights. This service integrates seamlessly with Azure Monitor, providing advanced analytics capabilities for your applications. It allows you to track and analyze usage statistics and user behavior effectively, as well as diagnose issues in real time. With mlAppInsights, data scientists and developers can gain valuable insights into application performance and optimize the user experience accordingly. The other options represent different services within Azure ML. For instance, while mlStorage is focused on managing data storage, mlKeyVault is aimed at secure storage of secrets and encryption keys, and mlACR relates to Azure Container Registry for managing Docker containers. While each of these services plays a vital role in the overall functionality of Azure ML, they do not serve the specific purpose of managing application insights. This distinction underscores why mlAppInsights is the correct choice for this question.