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
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Questions 61–70 of 150
Which service integrates Power BI, Azure Data Lake, and data orchestration?
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A
Azure Synapse Analytics
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B
Azure Databricks
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C
Azure ML Studio
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D
Azure Stream Analytics
Explanation
Azure Synapse Analytics provides an integrated analytics service, while others focus on specific tasks.
A company needs near real-time data processing with health metrics from IoT devices. Which Azure component is best suited?
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A
Azure Functions
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B
Azure Event Hubs
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C
Azure Blob Storage
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D
Azure Data Factory
Explanation
Azure Event Hubs is designed for high-throughput data ingestion from IoT.
What happens when you delete an Azure Synapse workspace that contains existing data flows?
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A
Only data flows are deleted.
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B
Data flows remain intact in storage.
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C
All resources in the workspace are deleted.
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D
Only the workspace gets unlinked.
Explanation
Deleting the workspace removes all associated resources, including data flows.
Which service provides real-time analytics in Azure?
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A
Azure Stream Analytics
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B
Azure Data Lake Storage
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C
Azure Blob Storage
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D
Azure Batch
Explanation
Azure Stream Analytics allows real-time data processing, while others support storage or batch processing.
A company needs to run complex data transformations in Azure. Which is the best option?
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A
Azure Data Factory
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B
Azure SQL Database
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C
Azure Functions
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D
Azure Blob Storage
Explanation
Azure Data Factory specializes in data integration and transformation, while the others serve different purposes.
You are configuring a data pipeline in Azure Data Factory. What happens if you set a trigger to run daily at 10 AM?
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A
It runs at 10 AM every day.
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B
It runs once at 10 AM only.
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C
It runs every hour starting 10 AM.
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D
It runs only on weekdays at 10 AM.
Explanation
A daily trigger means the pipeline executes at the specified time every day, not just once or hourly.
Which service allows for real-time analytics in data streams?
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A
Azure Stream Analytics
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B
Azure Blob Storage
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C
Azure Data Lake
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D
Azure Functions
Explanation
Azure Stream Analytics processes real-time data, while others do not.
A company needs to analyze large datasets efficiently. Which storage solution is optimal for analytical workloads?
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A
Azure SQL Database
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B
Azure Data Lake Storage
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C
Azure Cosmos DB
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D
Azure Redis Cache
Explanation
Azure Data Lake Storage is designed for analytics on vast amounts of data.
You are configuring azure analytics solution to integrate different data sources. What might occur if schema conflicts arise?
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A
Data will be automatically resolved
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B
Integration will fail silently
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C
Errors will be thrown during ingestion
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D
Data will merge without issues
Explanation
Schema conflicts usually result in ingestion errors, requiring resolution.
You are configuring data flow in Azure Data Factory. Which component is crucial for defining the data transformations?
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A
Copy activity
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B
Data flow
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C
Pipeline
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D
Trigger
Explanation
Data flows are specifically designed for data transformation; other options relate to data movement or orchestration.