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 71–80 of 138

Q71

A company needs to run machine learning experiments and track their outcomes. Which Azure service should they use?

  • A Azure Machine Learning
  • B Azure Synapse Analytics
  • C Azure Data Lake Storage
  • D Azure SQL Database
Explanation Azure Machine Learning provides tools for experimentation and tracking outcomes, unlike the other options.
Q72

You are configuring a prediction model in Azure Machine Learning. What happens if the input data contains null values?

  • A Model training is aborted immediately.
  • B Null values are ignored by default.
  • C An error is raised on training.
  • D Predictive accuracy is unaffected.
Explanation Null values in the dataset will cause an error during training unless handled first.
Q73

Which Azure service is best for IoT solutions?

  • A Azure IoT Hub
  • B Azure Logic Apps
  • C Azure Functions
  • D Azure Cosmos DB
Explanation Azure IoT Hub is specifically designed for IoT solutions, while the others serve different purposes.
Q74

A company needs to securely manage APIs. Which service should they use?

  • A Azure API Management
  • B Azure Functions
  • C Azure App Service
  • D Azure Storage
Explanation Azure API Management provides tools for secure API management, unlike the other services.
Q75

What happens when you set a model's hyperparameters too high?

  • A Underfitting occurs
  • B Overfitting occurs
  • C Freezing occurs
  • D No effect
Explanation Setting hyperparameters too high leads to overfitting as the model learns noise instead of signal.
Q76

Which Azure Machine Learning component manages the lifecycle of machine learning models?

  • A Azure ML Model Registry
  • B Azure ML Designer
  • C Azure Databricks
  • D Azure DevOps
Explanation The Azure ML Model Registry tracks and manages models, while the others serve different purposes.
Q77

A company needs to process large datasets quickly. Which Azure service should they use for distributed data processing?

  • A Azure Functions
  • B Azure HDInsight
  • C Azure Blob Storage
  • D Azure Sentinel
Explanation Azure HDInsight provides managed services for big data processing; the others do not focus on distributed processing.
Q78

You are configuring an Azure Data Factory pipeline. What happens when a dataset fails during a copy activity?

  • A Pipeline execution stops immediately.
  • B Skip to the next activity.
  • C Log the error and terminate.
  • D Retry the activity based on settings.
Explanation Azure Data Factory can be configured to retry failed activities depending on settings, while the others describe incorrect behavior.
Q79

Which Azure service is best suited for building machine learning models?

  • A Azure Machine Learning
  • B Azure Data Factory
  • C Azure Blob Storage
  • D Azure SQL Database
Explanation Azure Machine Learning is specifically designed for building ML models, while the others are for data processing or storage.
Q80

A company needs to run a batch analytics job every day at midnight. Which Azure service should it use?

  • A Azure Functions
  • B Azure Data Lake
  • C Azure Data Factory
  • D Azure Event Hubs
Explanation Azure Data Factory is designed for orchestrating data workflows, including scheduled batch jobs.