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 91–100 of 150

Q91

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

  • A Azure Stream Analytics
  • B Azure Data Warehouse
  • C Azure Blob Storage
  • D Azure Functions
Explanation Azure Stream Analytics is specifically designed for real-time data analysis, while others serve different purposes.
Q92

What happens when a query is executed on a large dataset in Azure Synapse Analytics?

  • A It uses distributed processing
  • B It queues requests until complete
  • C It only processes first 1,000 rows
  • D It limits results to single node
Explanation Azure Synapse uses distributed processing for efficiency, while the others do not apply to its architecture.
Q93

You are configuring a data pipeline in Azure Data Factory. What is a key benefit of using Data Flows?

  • A External data storage integration
  • B Code-free data transformation
  • C Enhanced security features
  • D Real-time data processing capabilities
Explanation Data Flows allow users to transform data without code, while others refer to functions not specific to Data Flows.
Q94

Which service is best for data transformation in Azure Fabric?

  • A Data Factory
  • B Azure SQL Database
  • C Blob Storage
  • D Stream Analytics
Explanation Azure Data Factory is specifically designed for data transformation, while others serve different purposes.
Q95

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

  • A Azure Functions
  • B Azure Logic Apps
  • C Azure Stream Analytics
  • D Azure Data Lake Storage
Explanation Azure Stream Analytics is tailored for real-time data analysis, unlike the other options which have different use cases.
Q96

What happens when an Azure Fabric data lake is configured for hierarchical namespace?

  • A Increased cost of storage
  • B Improved file management capabilities
  • C Slower data retrieval times
  • D Reduction in data redundancy
Explanation Enabling hierarchical namespaces enhances file management, while other options do not accurately reflect the benefits or consequences.
Q97

Which service is primarily used for data integration in Microsoft Fabric?

  • A Data Factory
  • B Azure Machine Learning
  • C Azure DevOps
  • D Power BI
Explanation Data Factory is designed specifically for data integration, while the others serve different purposes.
Q98

A company needs to implement real-time analytics on streaming data sources. Which approach should they consider using in Azure Fabric?

  • A Batch processing
  • B Data Flow
  • C Stream Analytics
  • D Data Warehouse
Explanation Stream Analytics is designed for analyzing real-time data streams unlike batch or warehouse options.
Q99

You are configuring a data model in Microsoft Fabric. What happens when you enable incremental data refresh?

  • A All historical data is deleted.
  • B Only new data is refreshed.
  • C Data refresh time increases significantly.
  • D Full data refresh is always needed.
Explanation Enabling incremental refresh allows only new or updated data to be refreshed, optimizing efficiency.
Q100

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

  • A Azure Stream Analytics
  • B Azure Data Lake Storage
  • C Azure Blob Storage
  • D Azure SQL Database
Explanation Azure Stream Analytics specifically handles real-time data processing, while others are for storage or querying.