| Exam Code | DP-600 |
| Exam Name | Implementing Analytics Solutions Using Microsoft Fabric |
| Questions | 87 Questions Answers With Explanation |
| Update Date | July 15,2024 |
| Price |
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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
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
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
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
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
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
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
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
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
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
Which Azure service provides capabilities for real-time stream processing and analytics?
A) Azure SQL Database
B) Azure Databricks
C) Azure Stream Analytics
D) Azure Data Lake Analytics
What is the primary advantage of using Azure SQL Database Managed Instance over Azure SQL Database?
A) Lower cost
B) Higher performance
C) Near-complete compatibility with SQL Server
D) Better integration with Azure Machine Learning
Which Azure service provides a fully managed, serverless SQL data warehouse for enterprise analytics?
A) Azure HDInsight
B) Azure Data Lake Storage
C) Azure SQL Database
D) Azure Synapse Analytics
Which Azure service provides a serverless analytics service for processing and analyzing large datasets stored in Azure Data Lake Storage?
A) Azure Data Lake Analytics
B) Azure HDInsight
C) Azure Databricks
D) Azure Synapse Analytics
What is the primary advantage of using Azure Data Lake Storage over traditional file storage solutions?
A) Lower cost
B) Better performance
C) Integration with Azure services
D) Support for hierarchical namespace
Which Azure service is a fully managed cloud service for open-source analytics, offering popular big data frameworks such as Apache HadoopSpark, and Hive?
A) Azure HDInsight
B) Azure Databricks
C) Azure Data Lake Analytics
D) Azure SQL Managed Instance
What feature of Azure Synapse Analytics allows users to query data stored in Azure Data Lake Storage or Azure Blob Storage using standard queries?
A) PolyBase
B) Query Store
C) Elastic Pools
D) Managed Instances
Which Azure storage service is optimized for storing large volumes of unstructured data such as documents, images, and videos?
A) Azure Blob Storage
B) Azure Data Lake Storage
C) Azure File Storage
D) Azure Queue Storage
What is the primary benefit of using Azure SQL Managed Instance over traditional SQL Server deployment in Azure VMs?
A) Cost-effectiveness
B) Full control over the underlying infrastructure
C) Automatic patching and maintenance
D) Limited scalability options
Which Azure service is specifically optimized for Apache Spark-based analytics and provides collaborative notebooks and automated machine learning capabilities?
A) Azure HDInsight
B) Azure SQL Database
C) Azure Databricks
D) Azure Data Lake Analytics
