Microsoft Certified Azure Data Engineer Associate · Free Practice Question Easy
Question 25
Which Azure Synapse Analytics component enables you to perform Hybrid Transactional and Analytical Processing?
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A
Azure Synapse Studio
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B
Azure Stream Analytics
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C
Azure Synapse Spark pools
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D
Azure Data Explorer
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E
Azure Synapse Link
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F
None of the listed options
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G
Azure Synapse Pipeline
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H
Azure Data Warehouse
Reveal correct answer
Correct answer: E
Explanation
Azure Synapse Link is the component that enables Hybrid Transactional and Analytical Processing.
Azure Synapse Link for Azure Cosmos DB is a cloud-native hybrid transactional and analytical processing (HTAP) capability that enables you to run near real-time analytics over operational data in Azure Cosmos DB. Azure Synapse Link creates a tight seamless integration between Azure Cosmos DB and Azure Synapse Analytics.
Using Azure Cosmos DB analytical store, a fully isolated column store, Azure Synapse Link enables no Extract-Transform-Load (ETL) analytics in Azure Synapse Analytics against your operational data at scale. Business analysts, data engineers and data scientists can now use Synapse Spark or Synapse SQL interchangeably to run near real-time business intelligence, analytics, and machine learning pipelines. You can achieve this without impacting the performance of your transactional workloads on Azure Cosmos DB.
The following image shows the Azure Synapse Link integration with Azure Cosmos DB and Azure Synapse Analytics:
A. Azure Synapse Studio is a unified workspace for big data and data integration tasks. While it provides a collaborative environment for data engineers, it is not specifically focused on Hybrid Transactional and Analytical Processing.
B. Azure Stream Analytics is a real-time event processing service that helps uncover real-time insights from devices, sensors, infrastructure, and applications. It is not primarily focused on Hybrid Transactional and Analytical Processing.
C. Azure Synapse Spark pools provide Apache Spark-based big data processing capabilities. While they are useful for data processing and analytics, they are not specifically tailored for Hybrid Transactional and Analytical Processing.
D. Azure Data Explorer is a service for analyzing large volumes of diverse data types for real-time insights. While it is a powerful tool for data exploration, it is not specifically designed for Hybrid Transactional and Analytical Processing.
E. Azure Synapse Link enables you to perform Hybrid Transactional and Analytical Processing by providing real-time analytics on operational data without impacting transactional workloads.
F. None of the listed options are specifically designed to enable Hybrid Transactional and Analytical Processing except for Azure Synapse Link, which is the correct choice for this scenario.
G. Azure Synapse Pipeline is a tool for orchestrating data workflows and ETL processes within Azure Synapse Analytics. While it is essential for data processing pipelines, it is not directly related to Hybrid Transactional and Analytical Processing.
H. Azure Data Warehouse is a cloud-based enterprise data warehousing service that is optimized for analytical processing. While it is a valuable tool for data analytics, it is not specifically designed for Hybrid Transactional and Analytical Processing.
Discussion
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