Databricks Certified Data Engineer Associate Practice Questions: Databricks Lakehouse Platform Domain

Correct Answer: B

Explanation: The Databricks Lakehouse Platform allows for seamless integration of ETL processes with machine learning workflows, enabling data engineers and data scientists to collaborate more effectively. Option A is incorrect because data transformation is often a crucial part of ETL. Option C is incorrect as the platform supports both batch and streaming data processing. Option D is incorrect because the platform provides automated job scheduling features.

Correct Answer: B

Explanation: Delta Lake is an open-source storage layer that brings ACID transactions to Apache Spark and big data workloads. It ensures data reliability and consistency, which is essential for building robust data pipelines. Option A is incorrect because real-time streaming is not the primary function of Delta Lake. Option C is incorrect as Delta Lake is not specifically for optimizing ML training. Option D is incorrect because data visualization is not a function of Delta Lake.

Correct Answer: B

Explanation: Clusters in Databricks enable distributed computing, which allows for the efficient processing of large-scale data workloads by scaling resources according to demand. This is essential for handling big data efficiently. Option A is incorrect because clusters are primarily used for processing, not just storage. Option C is incorrect as clusters can consist of multiple nodes, not just a single node. Option D is incorrect because data security remains a crucial aspect of cluster management.

Correct Answer: B

Explanation: Option B is correct because Unity Catalog is a feature of the Databricks Lakehouse Platform that offers centralized governance for data and AI assets, ensuring security and compliance. Option A is incorrect because built-in machine learning models are not related to data governance. Option C is incorrect because the platform supports both structured and unstructured data. Option D is incorrect because automated data visualization tools do not inherently provide governance and security.

Correct Answer: C

Explanation: Option C is correct because Delta Lake is an open-source storage layer that brings ACID transactions, scalable metadata handling, and unifies streaming and batch data processing to data lakes. Option A is incorrect because Delta Lake is used for persistent storage, not temporary. Option B is incorrect because Delta Lake supports both streaming and batch data. Option D is incorrect because Delta Lake is not a visualization tool.

Correct Answer: B

Explanation: Delta Live Tables simplifies the development and management of reliable data pipelines by providing a declarative framework for building ETL processes. Option A is incorrect because Delta Live Tables is not focused on data replication across regions. Option C is incorrect because it does not provide a drag-and-drop interface. Option D is incorrect because while storage scalability is a feature of the Lakehouse, it is not specific to Delta Live Tables.

Correct Answer: B

Explanation: The Time Travel feature in Databricks Lakehouse Platform allows users to access and query previous versions of data, which is crucial for maintaining data quality and auditing changes over time. Option A, schema enforcement, ensures data adheres to a predefined structure but does not track changes over time. Option C, data encryption, secures data but does not track changes. Option D, real-time streaming, allows for immediate data processing but is not related to tracking historical data changes.

Correct Answer: B

Explanation: The primary advantage of using Databricks' collaborative notebooks is their support for real-time collaboration and version control, which allows multiple users to work together seamlessly on data engineering tasks. Option A, providing a GUI for SQL queries, is a feature of Databricks SQL, not notebooks specifically. Option C, automatic optimization of Spark jobs, is not a feature of notebooks themselves but rather a benefit of using the Databricks platform. Option D, eliminating the need for data cleaning, is incorrect as data cleaning is a necessary step in most data engineering tasks.

Correct Answer: B

Explanation: Delta Lake provides ACID transactions, schema enforcement, and the ability to handle large-scale data reliably. This ensures data integrity and consistency. Real-time data streaming (A) is not a primary feature of Delta Lake. Data visualization (C) and machine learning algorithms (D) are not directly related to Delta Lake's core functionalities.

Correct Answer: B

Explanation: Delta Lake is an open-source storage layer that brings ACID transactions, scalable metadata handling, and data quality enforcement to data lakes, making them more reliable for analytics and machine learning. Option A is incorrect because Delta Lake is not a streaming service, although it can be used in streaming architectures. Option C is incorrect as Delta Lake is not a visualization tool. Option D is incorrect because Delta Lake is not directly involved in deploying machine learning models.