Delta Lake Operations - 01: Practice Questions

Learning Objectives

Validate your understanding of lakehouse architecture advantages over traditional data warehouses

Test your ability to distinguish Delta Lake features from standard data lakes

Demonstrate knowledge of managed and external table behavior during DROP operations

Assess your grasp of Time Travel and RESTORE commands for data recovery

Reinforce understanding of VACUUM operations and retention period configuration

Verify your knowledge of table creation using DDL and CTAS approaches

Apply COPY INTO commands for efficient bulk data ingestion

Overview

This practice set covers Delta Lake Operations, a fundamental component of the Databricks Certified Data Engineer Associate exam. Each question tests your understanding of Delta Lake features, table management, and data operations in the lakehouse architecture.

Test your knowledge of Delta Lake concepts and operations:

Lakehouse architecture benefits including ACID transactions and support for diverse data types
Delta Lake fundamentals covering architecture, features, and differences from traditional data lakes
Table management operations including managed vs external tables, CTAS, and DDL commands
Data versioning and recovery using Time Travel and RESTORE operations
Delta table maintenance with VACUUM and retention period configuration
Data ingestion patterns using COPY INTO for bulk data loading
Medallion Architecture layers and their data characteristics

What makes this different:

Real-world scenarios from e-commerce, healthcare, and logistics domains
Detailed explanations of Delta Lake features and operations
Practical examples of table management and data recovery commands

Use this practice set to validate your Delta Lake knowledge before exam day.

Prerequisites

Understanding of Delta Lake architecture and ACID transaction properties
Familiarity with lakehouse concepts and medallion architecture layers
Knowledge of SQL DDL and DML commands for table operations
Basic understanding of managed vs external table differences
Familiarity with Delta Lake features like Time Travel and VACUUM
Knowledge of data ingestion patterns in Databricks