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 61–70 of 138

Q61

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

  • A Azure Stream Analytics
  • B Azure Blob Storage
  • C Azure Functions
  • D Azure Data Factory
Explanation Azure Stream Analytics processes real-time data streams, while the other services do not specialize in streaming.
Q62

A company needs to manage user access to resources in Azure. What should they use?

  • A Azure Storage Accounts
  • B Azure Active Directory
  • C Azure Monitor
  • D Azure DevOps
Explanation Azure Active Directory provides identity and access management functionality, unlike the other options.
Q63

You are configuring a machine learning model in Azure, and you encounter a skewed dataset. What should you do first?

  • A Increase model complexity
  • B Apply resampling techniques
  • C Ignore the skewness
  • D Use a different algorithm
Explanation Applying resampling techniques helps to balance classes, while the other options may yield poor model performance.
Q64

Which Azure service is best for hosting Jupyter notebooks?

  • A Azure Synapse Analytics
  • B Azure Machine Learning Studio
  • C Azure Blob Storage
  • D Azure Databricks
Explanation Azure Databricks is optimized for notebook hosting, while others serve different purposes.
Q65

A company needs to process large datasets in real time. Which service should they use?

  • A Azure Batch
  • B Azure Data Lake Storage
  • C Azure Stream Analytics
  • D Azure SQL Database
Explanation Azure Stream Analytics provides real-time data processing, while others are geared for different workloads.
Q66

What happens when you provision a Data Science Virtual Machine (DSVM)?

  • A Resources are free for 60 days.
  • B Pre-installed data science libraries initialize.
  • C Cloud resources are permanently allocated.
  • D It automatically scales beyond limits.
Explanation Provisioning the DSVM pre-installs necessary data science libraries, while other options are incorrect regarding resource allocation and usage.
Q67

Which Azure service is optimized for building real-time analytics solutions?

  • A Azure Stream Analytics
  • B Azure Data Lake
  • C Azure SQL Database
  • D Azure Blob Storage
Explanation Azure Stream Analytics efficiently processes real-time data flows, while others focus on storage or batch processing.
Q68

A company needs to deploy machine learning models with minimal operational overhead. Which Azure service should they use?

  • A Azure Databricks
  • B Azure Machine Learning
  • C Azure Functions
  • D Azure Cognitive Services
Explanation Azure Machine Learning provides automated deployment capabilities, while the others require more management.
Q69

You are configuring an Azure Data Factory pipeline that consists of multiple data transformations. What happens if one of the activities fails?

  • A All activities stop immediately.
  • B Subsequent activities attempt to retry.
  • C Activity continues and logs the error.
  • D Only failed activity is rolled back.
Explanation In default settings, if one activity fails, the entire pipeline execution stops immediately.
Q70

Which Azure service is best for handling large-scale data processing?

  • A Azure Stream Analytics
  • B Azure Databricks
  • C Azure Logic Apps
  • D Azure Functions
Explanation Azure Databricks is optimized for big data processing capabilities, while the others serve different purposes.