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 1–10 of 138

Q1

Which service is best for real-time analytics in Azure?

  • A Azure Stream Analytics
  • B Azure Blob Storage
  • C Azure Kubernetes Service
  • D Azure Functions
Explanation Azure Stream Analytics is specifically designed for real-time analytics, while others serve different purposes.
Q2

A data scientist wants to share a dataset securely for collaboration. Which Azure service should they use?

  • A Azure Data Lake Storage
  • B Azure Databricks
  • C Azure Machine Learning Workspaces
  • D Azure SQL Database
Explanation Azure Machine Learning Workspaces is intended for secure sharing of datasets and collaboration specifically among data professionals.
Q3

What happens when you set the 'max_concurrent_runs' to 0 in Azure Data Factory?

  • A Jobs run indefinitely
  • B No jobs will run
  • C Only dependent jobs run
  • D Default limit of 10 jobs applied
Explanation Setting 'max_concurrent_runs' to 0 disables job execution, while other options misrepresent the functionality of this setting.
Q4

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

  • A Azure Machine Learning
  • B Azure SQL Database
  • C Azure Data Lake
  • D Azure DevOps
Explanation Azure Machine Learning is specifically designed for building, training, and deploying ML models, while others serve different purposes.
Q5

A company needs to preprocess large datasets using distributed computing; which Azure service should they use?

  • A Azure Functions
  • B Azure Data Factory
  • C Azure Databricks
  • D Azure SQL Database
Explanation Azure Databricks is optimized for distributed data processing, making it ideal for preprocessing large datasets.
Q6

What happens when you enable auto-scaling for an Azure Machine Learning endpoint?

  • A Resource allocation decreases during inactivity
  • B Endpoint deployment is deleted
  • C Resources are provisioned on demand
  • D Auto-scaling requires manual setup
Explanation Enabling auto-scaling allows the service to allocate resources dynamically based on demand.
Q7

Which service can be used for model training with distributed computing in Azure?

  • A Azure Machine Learning
  • B Azure Blob Storage
  • C Azure Functions
  • D Azure Event Hubs
Explanation Azure Machine Learning provides tools for distributed model training, while the others serve different purposes.
Q8

A company needs to store unstructured data for analysis. Which storage service should they choose?

  • A Azure SQL Database
  • B Azure Cosmos DB
  • C Azure Data Lake Storage
  • D Azure Table Storage
Explanation Azure Data Lake Storage is optimized for unstructured data, whereas others are structured or semi-structured.
Q9

What happens when a machine learning model trained in Azure Machine Learning hits a data drift condition?

  • A Model automatically retrains
  • B Model maintenance required
  • C Model gets deleted
  • D Model performance improves
Explanation Data drift indicates a need for model monitoring and retraining, but not automatic retraining.
Q10

Which Azure service can you use to implement real-time analytics on streaming data?

  • A Azure Stream Analytics
  • B Azure Data Lake
  • C Azure Functions
  • D Azure Blob Storage
Explanation Azure Stream Analytics is designed for real-time analytics, while others focus on storage or event processing.