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
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Questions 111–120 of 150

Q111

What happens when you configure an Azure Stream Analytics job with a low throughput setting?

  • A Increased latency in event processing
  • B Permanent data loss
  • C Improved data accuracy
  • D Automatic scaling of resources
Explanation Low throughput settings can lead to increased latency, while the other options do not describe the effect accurately.
Q112

Which service provides data integration in Azure Fabric?

  • A Azure Data Factory
  • B Azure Databricks
  • C Azure Blob Storage
  • D Azure Logic Apps
Explanation Azure Data Factory specifically handles data integration tasks, unlike the others for various functions.
Q113

A company needs real-time analytics for streaming data. Which Azure service should they use?

  • A Azure Stream Analytics
  • B Azure Data Lake Storage
  • C Azure Functions
  • D Azure SQL Database
Explanation Azure Stream Analytics is designed for real-time analytics on streaming data sources; others are not focused on real-time processing.
Q114

What happens when configuring a Power BI dataset with maximum data refresh frequency?

  • A Data refresh occurs hourly.
  • B Data refresh occurs daily.
  • C Data refresh occurs with a schedule.
  • D Data refresh frequency cannot be set.
Explanation Dataset refresh frequency is configurable, allowing move frequent updates, unlike the fixed options in A or B.
Q115

Which service is best for integrating data from multiple Azure sources?

  • A Azure Data Factory
  • B Azure Blob Storage
  • C Azure Synapse Analytics
  • D Azure SQL Database
Explanation Azure Data Factory excels in data integration, while the others serve different purposes.
Q116

A company needs to analyze real-time streaming data. Which service should they use?

  • A Azure Stream Analytics
  • B Azure Data Lake Storage
  • C Azure Functions
  • D Azure Logic Apps
Explanation Azure Stream Analytics is designed for processing real-time data streams.
Q117

What happens when you configure data retention in Azure Data Lake Storage?

  • A Data is deleted immediately
  • B Data is archived in cold storage
  • C Old data is removed automatically
  • D New data is prevented from being added
Explanation Configuring retention ensures old data is removed automatically, while the other options are incorrect actions.
Q118

Which Azure service is best for data orchestration?

  • A Azure Data Factory
  • B Azure Functions
  • C Azure Logic Apps
  • D Azure Stream Analytics
Explanation Azure Data Factory is designed for data orchestration, while others serve different functions.
Q119

A company needs to safeguard sensitive data in Azure. What feature should they implement?

  • A Azure Security Center
  • B Azure SQL Database Auditing
  • C Azure Data Lake Storage Gen2
  • D Azure Key Vault
Explanation Azure Key Vault securely stores sensitive data like keys and secrets, unlike the other options which serve different purposes.
Q120

You are configuring a data pipeline in Azure. What happens when a data transformation fails?

  • A Pipeline will restart automatically
  • B Failure notification is sent
  • C Transformation is skipped
  • D Data is deleted
Explanation A failure in a data transformation sends a failure notification to alert administrators, while other options are incorrect responses to failure scenarios.