Microsoft Azure

Designing and Implementing a Data Science Solution on Azure

DP-100

Master data science on Azure with the DP-100 exam focusing on designing and implementing solutions.

138 questions 0 views Free
Start Mock Test Timed · Full-length · Scored

Questions 111–120 of 138

Q111

What happens when you attempt to use a dataset that has not been registered in Azure Machine Learning?

  • A It automatically registers the dataset.
  • B You cannot use the dataset.
  • C It triggers an error message.
  • D It gets stored temporarily.
Explanation In Azure Machine Learning, only registered datasets can be used in experiments and workflows.
Q112

Which service allows low-latency predictions for machine learning models?

  • A Azure Machine Learning Real-time Endpoints
  • B Azure Databricks
  • C Azure Data Factory
  • D Azure Logic Apps
Explanation Azure Machine Learning Real-time Endpoints provide low-latency predictions, unlike the other services focused on data processing or workflows.
Q113

A company needs to optimize data preparation workflows for machine learning. Which Azure service should they use?

  • A Azure Pipeline
  • B Azure Machine Learning Designer
  • C Azure Functions
  • D Azure Stream Analytics
Explanation Azure Machine Learning Designer visually develops and manages data workflows tailored for machine learning, unlike the other options.
Q114

What happens when you choose to use automated machine learning in Azure?

  • A You must build models manually.
  • B Azure selects the best model and parameters.
  • C Data must be preprocessed externally.
  • D Only regression models are created.
Explanation Automated machine learning automates model selection and hyperparameter tuning, which is not the case for the other options.
Q115

Which Azure service is best for real-time analytics on streaming data?

  • A Azure Stream Analytics
  • B Azure Data Lake
  • C Azure Blob Storage
  • D Azure SQL Database
Explanation Azure Stream Analytics specializes in real-time processing, whereas the others are for storage or batch processing.
Q116

A company needs to deploy a machine learning model. Which Azure service should they use for continuous integration and deployment?

  • A Azure Kubernetes Service
  • B Azure DevOps
  • C Azure Machine Learning
  • D Azure Functions
Explanation Azure Machine Learning provides built-in CI/CD capabilities for models, while the others don't focus on ML specifically.
Q117

What happens when a Data Scientist runs a training job that exceeds the allocated memory of the virtual machine?

  • A The job fails with an out-of-memory error.
  • B The job automatically downsizes the VM.
  • C The job continues with slower performance.
  • D The job reallocates memory from storage.
Explanation The job fails with an out-of-memory error; none of the other options can occur because VMs do not auto-resize or reallocate memory this way.
Q118

Which Azure service is used for developing machine learning models?

  • A Azure Machine Learning
  • B Azure SQL Database
  • C Azure Functions
  • D Azure Cosmos DB
Explanation Azure Machine Learning is specifically designed for model development, while the others serve different purposes.
Q119

A company needs to process large streaming data in real-time. Which Azure service should they use?

  • A Azure Data Lake Storage
  • B Azure Stream Analytics
  • C Azure Blob Storage
  • D Azure SQL Database
Explanation Azure Stream Analytics is tailored for real-time analytics on streaming data, unlike the other options which focus on storage and batch processing.
Q120

You are configuring auto ML in Azure. What happens when you enable feature selection?

  • A All features will be used automatically.
  • B Redundant features are automatically removed.
  • C Only numeric features can be selected.
  • D Feature selection has no effect.
Explanation Enabling feature selection helps to filter out redundant features, improving model performance, while the other options are incorrect because they misinterpret the functionality.