Match each Azure service to its primary purpose in a data engineering pipeline.
Drag a concept onto its matching description — or click a concept then click the description.
Scalable data lake for analytics workloads
Unified analytics platform with SQL and Spark
Cloud-based ETL and data integration service
Real-time stream processing service
Apache Spark-based analytics platform
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure Data Lake Storage Gen2: Scalable data lake for big data analytics.
The correct matches are: Azure Data Lake Storage Gen2 as a scalable data lake, Azure Synapse Analytics as a unified data warehousing platform, Azure Data Factory for data integration and orchestration, and Azure Databricks for Spark-based analytics. Common confusions include swapping storage and integration services, or mistaking data lakes for data warehousing.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Data Lake Storage Gen2: Scalable data lake for big data analytics.
Why this is correct
Azure Data Lake Storage Gen2 is designed for massive scale data storage and analytics, providing a hierarchical namespace and POSIX-like access.
Azure Synapse Analytics: Unified analytics platform for large-scale data warehousing.
Why this is correct
Azure Synapse Analytics integrates data warehousing, big data analytics, and data integration into a single workspace.
Azure Data Factory: Cloud data integration service for orchestrating data movement.
Why this is correct
Azure Data Factory is a serverless data integration service that allows creating, scheduling, and orchestrating data pipelines.
Azure Databricks: Collaborative Apache Spark-based analytics platform.
Why this is correct
Azure Databricks provides an interactive workspace for big data processing and machine learning using Apache Spark.
Azure Data Lake Storage Gen2: Cloud data integration service for orchestrating data movement.
Why it's wrong here
This describes Azure Data Factory, not Azure Data Lake Storage Gen2. Data Lake Storage is a storage service, not an integration service.
Azure Synapse Analytics: Scalable data lake for big data analytics.
Why it's wrong here
This describes Azure Data Lake Storage Gen2, not Azure Synapse Analytics. Synapse is a data warehousing and analytics platform.
Go deeper
Learn chapter
Introduction to Azure Data Engineering
Key term
Azure Synapse Analytics
Azure Synapse Analytics is a cloud-based data integration, warehousing, and analytics service that brings together big data and data warehouse capabilities under one platform.
Key term
Azure Data Factory
Azure Data Factory is a cloud-based data integration service that lets you create, schedule, and orchestrate data pipelines to move and transform data from various sources to destinations.
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