Practice Exams: Databricks Data Engineer Professional

Practice Exams: Databricks Data Engineer Professional udemy course

Practice Tests with Detailed Explanations for the Databricks Certified Data Engineer Professional exam

If you looking for practice tests for Databricks Data Engineer Professional certification exam, you have come to the right place! Two 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 pipelines

  • Building incrementally processed ETL pipelines

  • Deduplicating data

  • Using Change Data Capture (CDC) to propagate changes

  • Optimizing workloads

• Understand 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 ACLs

  • Creating row- and column-oriented dynamic views to control user/group access

  • Securely delete data as requested according to GDPR & CCPA

• Configure alerting and storage to monitor and log production jobs, including:

  • Recording logged metrics

  • Debugging errors

• Follow best practices for managing, testing and deploying code, including:

  • Relative imports

  • Scheduling Jobs

  • Orchestration Jobs

Duration

Testers will have 120 minutes to complete each practice exam.

Questions

There are 60 multiple-choice questions on each practice exam. The questions will be distributed by high-level topic in the following way:

• Databricks Tooling – 20% (12/60)

• Data Processing – 30% (18/60)

• Data Modeling – 20% (12/60)

• Security and Governance – 10% (6/60)

• Monitoring and Logging – 10% (6/60)

• Testing and Deployment – 10% (6/60)

After passing these practice exams, you will be ready to take the certification exam.

I wish you all the best in your exam!