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 91–100 of 138

Q91

Which Azure service offers a fully managed NoSQL database?

  • A Azure Cosmos DB
  • B Azure SQL Database
  • C Azure Blob Storage
  • D Azure Data Lake Storage
Explanation Azure Cosmos DB provides globally distributed NoSQL databases, whereas the others serve different storage functionalities.
Q92

A company needs to deploy machine learning models. What should they use?

  • A Azure Synapse Analytics
  • B Azure Machine Learning
  • C Azure Functions
  • D Azure Data Factory
Explanation Azure Machine Learning is designed specifically for building and deploying ML models, unlike the other options.
Q93

What happens when you configure auto-scaling in Azure Machine Learning?

  • A Increases storage capacity.
  • B Automatically scales compute resources.
  • C Limits model functionality.
  • D Decreases training speed.
Explanation Auto-scaling adjusts compute resources based on demand, while other options do not accurately describe scaling behavior.
Q94

You are configuring Azure Machine Learning. Which language is supported for scripting custom models?

  • A Python
  • B Ruby
  • C Swift
  • D Go
Explanation Python is the primary language for Azure ML, while Ruby, Swift, and Go are not supported.
Q95

A company needs to deploy a machine learning model that handles sensitive customer data. Which Azure service provides built-in security features for such workloads?

  • A Azure Blob Storage
  • B Azure Machine Learning
  • C Azure Functions
  • D Azure Data Factory
Explanation Azure Machine Learning includes compliance features for handling sensitive data, unlike Blob Storage, Functions, and Data Factory.
Q96

What happens when you select a lower `max_distance` in a KMeans clustering scenario in Azure ML?

  • A More clusters created
  • B Less data is included
  • C Increased complexity of model
  • D Fewer iterations run
Explanation A lower `max_distance` can lead to more clusters being formed, while the other options are incorrect interpretations of the parameter's effect.
Q97

Which service can be used to automate ML model deployment?

  • A Azure ML
  • B Azure Functions
  • C Azure SQL Database
  • D Azure Blob Storage
Explanation Azure ML provides tools for deploying models, while the others serve different purposes.
Q98

A company needs to streamline data preprocessing for ML. Which Azure service is best suited for ETL tasks?

  • A Azure Data Factory
  • B Azure Logic Apps
  • C Azure DevOps
  • D Azure Kubernetes Service
Explanation Azure Data Factory specializes in ELT processes, unlike the other options.
Q99

What happens when you set a model's input without matching the trained schema in Azure ML?

  • A It will throw an error.
  • B It will auto-correct the schema.
  • C It will process with default values.
  • D It will return incorrect predictions.
Explanation Mismatched inputs lead to schema validation errors during model execution.
Q100

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

  • A Azure Stream Analytics
  • B Azure Data Lake
  • C Azure SQL Database
  • D Azure Blob Storage
Explanation Azure Stream Analytics is designed for real-time data analysis; the others are for different storage or processing tasks.