Microsoft Azure

Implementing Analytics Solutions Using Microsoft Fabric

DP-600

Learn to implement analytics solutions with the DP-600 exam focused on Microsoft Fabric.

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

Questions 131–140 of 150

Q131

A company needs to integrate on-premises data with Azure services. What should they use?

  • A Azure Data Factory
  • B Azure Blob Storage
  • C Azure Functions
  • D Azure Cosmos DB
Explanation Azure Data Factory is designed for data integration between on-premises and cloud. The other options do not directly facilitate this integration.
Q132

What happens when you upgrade your Azure MLS model without retraining it?

  • A Model accuracy improves
  • B Model may become less effective
  • C Model continues as before
  • D Model accuracy decreases significantly
Explanation Without retraining, the model may not benefit from improvements in the service and could lose predictive power. Options A and D are overly positive or negative, while C implies stasis which isn't guaranteed.
Q133

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

  • A Azure Stream Analytics
  • B Azure Blob Storage
  • C Azure Data Lake
  • D Azure SQL Database
Explanation Azure Stream Analytics allows real-time data processing, while others do not specialize in it.
Q134

A company needs to analyze large datasets and wants to optimize compute and storage costs. Which service should they consider in Azure Fabric?

  • A Azure Data Factory
  • B Azure Synapse Analytics
  • C Azure Blob Storage
  • D Azure SQL Database
Explanation Azure Synapse Analytics integrates analytics and data exploration, balancing cost between compute and storage.
Q135

You are configuring a Dataflow in Azure Data Factory. What happens if you merge two streams with incompatible schemas?

  • A The merge operation succeeds seamlessly.
  • B An error is thrown preventing the merge.
  • C Automatic schema adjustment occurs.
  • D The operation defaults to first stream's schema.
Explanation Merging incompatible schemas leads to errors, ensuring schema integrity.
Q136

Which service allows real-time analytics on streaming data in Azure?

  • A Azure Stream Analytics
  • B Azure Data Lake
  • C Azure Data Factory
  • D Azure SQL Database
Explanation Azure Stream Analytics is designed for real-time analytics, while others focus on batch processing or data storage.
Q137

A company needs to implement role-based access control for their data in Azure Data Lake. What should they utilize?

  • A Security Roles
  • B Azure Active Directory
  • C Access Control Lists
  • D Resource Groups
Explanation Azure Active Directory is essential for implementing RBAC in Azure environments.
Q138

You are configuring a data pipeline using Azure Data Factory. What happens if a source dataset fails during the copy operation?

  • A The pipeline stops execution
  • B The operation retries automatically
  • C Only the dataset is deleted
  • D The entire pipeline is deleted
Explanation By default, a failure in a source causes the pipeline to stop execution, while other options do not accurately describe expected behavior.
Q139

Which service is best for real-time data ingestion in Azure Fabric?

  • A Azure Stream Analytics
  • B Azure Blob Storage
  • C Azure Data Lake
  • D Azure SQL Database
Explanation Azure Stream Analytics is designed specifically for real-time data ingestion, while the others focus on storage or querying.
Q140

A company needs to analyze social media sentiment in near real-time; which Azure Fabric feature should they enable?

  • A Batch data processing
  • B Dataflow transformation
  • C Event-driven architecture
  • D Static data modeling
Explanation Event-driven architecture supports near real-time analysis, while others do not prioritize real-time capabilities.