Practice Test: Databricks Certified Data Engineer Associate
About this course
If you looking for practice tests for Databricks Data Engineer Associate certification exam, you have come to the right place! This practice test with detailed explanations is available to prepare you before appearing for the actual examThe practice tests cover the following exam topics with detailed explanations:Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including:Data Lakehouse (architecture, descriptions, benefits)Data Science and Engineering workspace (clusters, notebooks, data storage)Delta Lake (general concepts, table management and manipulation, optimizations)Build ETL pipelines using Apache Spark SQL and Python, including:Relational entities (databases, tables, views)ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)Incrementally process data, including:Structured Streaming (general concepts, triggers, watermarks)Auto Loader (streaming reads)Multi-hop Architecture (bronze-silver-gold, streaming applications)Delta Live Tables (benefits and features)Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including:Jobs (scheduling, task orchestration, UI)Dashboards (endpoints, scheduling, alerting, refreshing)Understand and follow best security practices, including:Entity Permissions (data objects Privileges)DurationTesters will have 90 minutes to complete each practice exam.Questions
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What you'll learn
- Understand the architecture and benefits of the Databricks Lakehouse Platform
- Build ETL pipelines using Apache Spark SQL and Python
- Implement structured streaming concepts using Delta Lake features
- Create production pipelines and Databricks SQL queries and dashboards
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