Top 30 Microsoft Azure Machine Learning Interview Questions with Answers

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Here are 30 Microsoft Azure Machine Learning interview questions along with their answers:

1. What is Azure Machine Learning?

Answer: Azure Machine Learning is a cloud-based service provided by Microsoft that enables data scientists and developers to build, deploy, and manage machine learning models at scale.

2. What are the key components of Azure Machine Learning?

Answer: The key components of Azure Machine Learning are:

  • Azure Machine Learning Studio: A web-based drag-and-drop environment for building machine learning experiments.
  • Azure Machine Learning SDK: A Python library for creating and managing machine learning workflows programmatically.
  • Azure Machine Learning service: A cloud-based service for managing end-to-end machine learning projects.

3. What are the benefits of using Azure Machine Learning?

Answer: Some benefits of Azure Machine Learning include:

  • Scalability: Allows scaling machine learning workloads to handle large datasets and complex models.
  • Collaboration: Provides a collaborative environment for data scientists, developers, and stakeholders.
  • Integration: Seamless integration with other Azure services and tools.
  • Deployment: Simplifies the deployment of machine learning models in production environments.

4. How can you create an Azure Machine Learning workspace?

Answer: You can create an Azure Machine Learning workspace through the Azure portal, Azure CLI, or Azure Machine Learning SDK using the Workspace.create() method.

5. What is an experiment in Azure Machine Learning?

Answer: An experiment in Azure Machine Learning represents a series of related runs that are conducted to solve a specific machine learning problem. It typically consists of data, code, and configuration settings.

6. How can you submit a training run in Azure Machine Learning?

Answer: You can submit a training run in Azure Machine Learning using the Experiment.submit() method, which takes the experiment and the script or code file as input.

7. How can you track and log metrics during a training run in Azure Machine Learning?

Answer: You can track and log metrics during a training run in Azure Machine Learning using the Run.log() method. It allows you to log metrics, such as accuracy, loss, and any custom metrics you define.

8. What is an Azure ML Pipeline?

Answer: An Azure ML Pipeline is a way to create, manage, and execute machine learning workflows that consist of multiple steps or stages. It enables end-to-end automation of machine learning processes.

9. How can you deploy a trained machine learning model in Azure Machine Learning?

Answer: You can deploy a trained machine learning model in Azure Machine Learning by creating an inference configuration that defines the scoring environment, specifying the model file, and deploying it to an endpoint.

10. How can you monitor and collect data from deployed models in Azure Machine Learning?

Answer: Azure Machine Learning provides monitoring capabilities through Azure Application Insights. You can enable monitoring for deployed models to collect data on usage, performance, and errors.

11. How can you perform hyperparameter tuning in Azure Machine Learning?

Answer: Azure Machine Learning provides hyperparameter tuning capabilities through the HyperDrive package. You can define the search space for hyperparameters, specify the optimization metric, and let Azure Machine Learning conduct the tuning process.

12. What is Azure Machine Learning Designer?

Answer: Azure Machine Learning Designer is a drag-and-drop tool provided by Microsoft that allows users without coding experience to build machine learning models and pipelines visually.

13. What is AutoML in Azure Machine Learning?

Answer: AutoML in Azure Machine Learning is an automated machine learning capability that allows users to automatically search for the best machine learning model and hyperparameters for a given dataset.

14. What is Availability Set in Azure?

Answer: Availability Set is a grouping of Azure Virtual Machines. The availability set allows the Azure cloud to build and understand how the application for a user is constructed to provide availability and redundancy.

15. What steps should we take in case of drive failure?

Answer: In case of a drive failure, we should follow these steps:

Unmount the drive, which allows the Azure storage object to function without fault.
In the case of replacement, we will format and remount the drive.

16. Why do we use VNet? Name the power states of a Virtual Machine.

Answer: We can represent our network within the cloud using VNet. VNet logically isolates our instances launched in the cloud, from the rest of our resources. The various power state of a Virtual Machine is: Running, Starting, Stopping, Deallocating, etc.

17. What are network security groups?

Answer: A network security group allows us to manage the network traffic to NIC or subnets etc. The network load will be distributed as needed if it is connected wisely.

18. What is cspack?

Answer: Cspack is a command-line tool, which is used to generate a service package file. It helps us to prepare an application for deployment, either in compute emulator or Microsoft Windows Azure.

19. Name two blobs used in Microsoft Azure.

Answer: The two types of blobs in Azure are:

  • Block Blob
  • Page Blob

20. Can we add an existing VM to an availability set?

Answer: No, if we want our VM to be part of an availability set, then we need to create the VM within the set.

21. How Much Storage Can We Use With A Virtual Machine?

Answer: In Azure, each data disk can be up to 1 TB. The number of disks we can use depends upon the size of the virtual machine. Azure Managed Disks are the recommended disk storage offering to use with Azure Virtual Machines for persistent storage of data. We can use multiple Managed Disks with each Virtual Machine.

22. What Is Azure Search?

Answer: It is a cloud search-as-a-service solution that delegates server and infrastructure management to Microsoft, leaving us with a ready-to-use service that we can populate with our data and then use to add search to our web or mobile application. Azure search allows us to easily add a robust search experience to our applications using a simple REST API or .NET SDK without managing search infrastructure or becoming an expert in search.

23. Explain Stateful And Stateless Micro-Services For Service Fabric?

Answer: Service Fabric enables us to build applications that consist of microservices. A stateless micro-service doesn’t maintain a mutable state outside a request. Azure Cloud Service’s worker role is an example of a stateless service. Stateful microservice maintains a mutable, authoritative state beyond the request and its response.

24. What Is A Web Role In Azure Cloud Service?

Answer: A web role in Azure is a virtual machine instance running a Microsoft IIS Web server that can accept and respond to HTTP or HTTPS requests.

25. Can We Create A VM Using Azure Resource Manager In A Virtual Network That Was Created Using Classic Deployment?

Answer: It is not supported by the Azure portal. We cannot use Azure Resource Manager to deploy a Virtual machine into a virtual network that was created using classic deployment.

26. What Are The Options Available In Azure For Data Storage?

Answer: Options for storing data includes:

  • Azure files
  • OS drive
  • Scale set
  • Temp drive
  • Azure data service
  • External data service

27. What Is Azure Redis Cache?

Answer: Redis cache is an open-source, in-memory data structure store, which is used as a database, cache, and message broker. Azure Redis Cache resembles the famous open-source Redis cache. It provides access to a secure and dedicated Redis cache that is managed by Microsoft and accessible from any application inside Azure.

28. What Are Redis Databases?

Answer: It is a fully managed, open-source, compatible in-memory data store to power fast and scalable applications.

29. What are the roles available in Windows Azure?

Answer: All three roles (web, worker, VM) are essentially Windows Server 2008. Web and Worker roles are nearly identical: With Web and Worker roles, the OS and related patches are taken care of for you; you build your app’s components without having to manage a VM

30. What is the difference between the Windows Azure Platform and Windows Azure?

Answer: The former is Microsoft’s PaaS offering including Windows Azure, SQL Azure, and AppFabric; while the latter is part of the offering and Microsoft’s cloud OS.

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