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 101–110 of 150

Q101

A company needs to analyze logs for a monthly report. Which Azure service is appropriate?

  • A Azure Databricks
  • B Azure Functions
  • C Azure Event Hubs
  • D Azure Blob Storage
Explanation Azure Databricks provides big data analysis tools suitable for report generation, unlike the other options.
Q102

What happens when you configure a materialized view in Azure Synapse Analytics?

  • A Improvements in query speed
  • B Increased cost of storage
  • C Real-time data access
  • D Automatic indexing applied
Explanation Materialized views enhance query performance through pre-computed results, while other options are inaccurate functions.
Q103

Which service is best suited for orchestrating data pipelines in Microsoft Fabric?

  • A Data Factory
  • B Power BI
  • C Azure Synapse
  • D Dataverse
Explanation Data Factory is designed for orchestrating data workflows, unlike the others.
Q104

A company needs to analyze large datasets without managing infrastructure. Which Microsoft Fabric service should they use?

  • A Azure SQL Database
  • B Azure Blob Storage
  • C Azure Synapse Analytics
  • D Azure Machine Learning
Explanation Azure Synapse Analytics provides serverless capabilities for large-scale analysis.
Q105

What happens when you configure a dataset for refresh in Power BI but do not set up credentials?

  • A Refresh will succeed
  • B Refresh will fail
  • C Dataset won't update
  • D Error will be logged only
Explanation Without credentials, the refresh cannot access data sources, resulting in failure.
Q106

Which service in Azure is best for data orchestration?

  • A Azure Data Factory
  • B Azure Blob Storage
  • C Azure Data Lake
  • D Azure Cosmos DB
Explanation Azure Data Factory provides data integration capabilities whereas the others serve different purposes.
Q107

A company needs to process large streaming data in real-time. What is the best option?

  • A Azure Synapse Analytics
  • B Azure Stream Analytics
  • C Azure Data Warehouse
  • D Azure SQL Database
Explanation Azure Stream Analytics is designed for real-time data processing; others are not optimized for this purpose.
Q108

You are configuring a dataflow in Azure Data Factory, but the pipeline fails because of an incorrect column type. What happens next?

  • A The pipeline retries automatically.
  • B It fails with an error message.
  • C The incorrect column type is ignored.
  • D The pipeline continues with default values.
Explanation The pipeline will fail and provide an error message detailing the issue, while others suggest incorrect behavior.
Q109

Which service allows for data integration across Azure?

  • A Azure Data Factory
  • B Azure SQL Database
  • C Azure Blob Storage
  • D Azure Front Door
Explanation Azure Data Factory is specifically designed for data integration tasks, while the others serve different purposes.
Q110

A company needs to apply machine learning to predict customer churn. Which Azure service is suitable for building and deploying models?

  • A Azure Synapse Analytics
  • B Azure Machine Learning
  • C Azure Data Lake Storage
  • D Azure Logic Apps
Explanation Azure Machine Learning provides the capabilities needed for building and deploying ML models, unlike the other options.