Overview

If you looking for practice tests for Databricks Data Engineer Professional certification exam, you have come to the right place! Four practice tests with detailed explanations are available to prepare you before appearing for the actual exam.The practice tests cover the following exam topics with detailed explanations:Model data management solutions, including:Lakehouse (bronze/silver/gold architecture, tables, views, and the physical layout)General data modeling concepts (constraints, lookup tables, slowly changing dimensions)Build data processing pipelines using the Spark and Delta Lake APIs, including:Building batch-processed ETL pipelinesBuilding incrementally processed ETL pipelinesDeduplicating dataUsing Change Data Capture (CDC) to propagate changesOptimizing workloadsUnderstand how to use and the benefits of using the Databricks platform and its tools, including:Databricks CLI (deploying notebook-based workflows)Databricks REST API (configure and trigger production pipelines)Build production pipelines using best practices around security and governance, including:Managing clusters and jobs permissions with ACLsCreating row- and column-oriented dynamic views to control user/group accessSecurely delete data as requested according to GDPR & CCPAConfigure alerting and storage to monitor and log production jobs, including:Recording logged metricsDebugging errorsFollow best practices for managing, testing and deploying code, including:Relative importsScheduling JobsOrchestration Jobs

Skills

Reviews