Databricks Certified Data Engineer Associate · Free Practice Question Easy
Question 29
- A Databricks SQL
- B Unity Catalog
- C Data Explorer
- D Checkpointing
- E Spark Structured Streaming
Reveal correct answer
Correct answer: E
Explanation
Auto Loader is designed to efficiently ingest data incrementally into Delta Lake on Databricks, leveraging Spark Structured Streaming for this purpose. Spark Structured Streaming provides a high-level abstraction for stream processing, allowing for scalable and fault-tolerant processing of streaming data. It enables Auto Loader to monitor a directory for new files and process them as they arrive, handling incremental loads with ease. This approach simplifies the development of streaming data pipelines, ensuring that data is processed in real-time or near-real-time, making Spark Structured Streaming the ideal tool within Auto Loader's architecture for incremental data processing.A. Databricks SQL is a SQL analytics service in Databricks that allows users to query and analyze data using SQL. While it is a useful tool for querying data, it is not the tool utilized by Auto Loader for processing data in increments.
B. Unity Catalog is a centralized metadata management service in Databricks that helps users discover, organize, and query data. While it is important for managing metadata, it is not the tool used by Auto Loader for processing data in increments.
C. Data Explorer is a tool in Databricks that allows users to explore and analyze data interactively. While it is useful for data exploration and visualization, it is not the tool utilized by Auto Loader for processing data in increments.
D. Checkpointing is a mechanism used in Spark to ensure fault tolerance and recoverability in case of failures. While it is important for maintaining the state of a streaming application, it is not directly related to the processing of data in increments by Auto Loader.
E. Spark Structured Streaming is the correct choice for the tool utilized by Auto Loader to process data in increments. Spark Structured Streaming allows for real-time processing of data streams and supports processing data in micro-batches, making it ideal for incremental data processing.
Discussion
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