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Question 1
Which Azure service provides a fully managed, scalable messaging service for building distributed applications?
A) Azure Event Grid
B) Azure Event Hubs
C) Azure Service Bus
D) Azure Storage Queues
Question 2
What does PolyBase in Azure Synapse Analytics enable users to do?
A) Query data stored in Azure Blob Storage using standard T-SQL queries
B) Automatically provision and scale compute resources for analytics workloads
C) Integrate Azure Synapse Analytics with Azure Data Factory for data movement
D) Manage and monitor Azure Synapse Analytics workspaces
Question 3
Which type of data store should you recommend in the AnalyticsPOC workspace?
A. a data lake
B. a warehouse
C. a lakehouse
D. an external Hive metaStore
Question 4
What should you recommend using to ingest the customer data into the data store in the AnatyticsPOC workspace?
A. a stored procedure
B. a pipeline that contains a KQL activity
C. a Spark notebook
D. a dataflow
Question 5
What is the primary advantage of using Azure Blob Storage over traditional file storage solutions?
A) Lower cost
B) Better performance
C) Integration with Azure services
D) Support for multiple data tiers
Question 6
Which Azure service provides a fully managed, scalable messaging service for building distributed applications?
A) Azure Event Grid
B) Azure Event Hubs
C) Azure Service Bus
D) Azure Storage Queues
Question 7
Which Azure service is specifically designed to provide high-performance, low-latency access to NoSQL data?
A) Azure SQL Database
B) Azure Cosmos DB
C) Azure Data Lake Storage
D) Azure Blob Storage
Question 8
What feature of Azure Cosmos DB allows it to deliver low-latency access to data globally?
A) Multi-model support
B) Schema flexibility
C) Global distribution
D) Automatic scaling
Question 9
Which Azure service provides a scalable and secure data lake solution for big data analytics?
A) Azure Blob Storage
B) Azure Data Lake Storage
C) Azure SQL Database
D) Azure Data Lake Analytics
Question 10
What is the primary benefit of using Azure Data Factory for data integration?
A) Real-time analytics
B) Serverless processing
C) Cost-effective storage
D) Orchestration of data workflows