Free Practice Questions for Cloudera Data Engineer (CDP-3002) Certification
Study with 340 exam-style practice questions designed to help you prepare for the Cloudera Data Engineer (CDP-3002).
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Key information about Cloudera Data Engineer (CDP-3002)
- Multiple choice
55%
online, proctored
Data Engineer professional, who knows how to work proficiently designing, developing and optimizing data workflows using Cloudera tools. Strong grasp of data modeling for efficient storage, including formats, partitioning and schema design, and Apache Iceberg. Expertise in performance optimization, bottleneck identification, query tuning and resource efficiency. Proficient in security configuration, monitoring, troubleshooting and cloud integration for Cloudera clusters using mainly Spark and Airflow.
none
90
50
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
Domain 1: Spark
Subdomain 1.1: Fundamentals on Spark over Kubernetes
Fundamentals on Spark over Kubernetes
Subdomain 1.2: Work with DataFrames
Work with DataFrames
Subdomain 1.3: Understand Distribute Processing
Understand Distribute Processing
Subdomain 1.4: Implement Hive and Spark Integration
Implement Hive and Spark Integration
Subdomain 1.5: Understand Distributed Persistence
Understand Distributed Persistence
Domain 2: Airflow
Subdomain 2.1: Implement incremental extraction in Apache Airflow from source system
Implement incremental extraction in Apache Airflow from source system
Subdomain 2.2: Use Apache Airflow to schedule ETL pipelines
Use Apache Airflow to schedule ETL pipelines
Subdomain 2.3: Use Apache Airflow to schedule quality checks
Use Apache Airflow to schedule quality checks
Subdomain 2.4: Work with DAGs
Work with DAGs
Domain 3: Performance Tuning
Subdomain 3.1: Know Basic tools in (Spark) Performance Tuning
Know Basic tools in (Spark) Performance Tuning
Subdomain 3.2: Understand Optimization Framework and Explain plans
Understand Optimization Framework and Explain plans
Subdomain 3.3: Understand Inferring Schemas
Understand Inferring Schemas
Subdomain 3.4: Work with Improving Join Performance Leverage Caching Data for Reuse
Work with Improving Join Performance Leverage Caching Data for Reuse
Subdomain 3.5: Work with Partitioned and Bucketed Tables
Work with Partitioned and Bucketed Tables
Domain 4: Deployment
Subdomain 4.1: Use the API and CLI
Use the API and CLI
Subdomain 4.2: Work in the Data Engineering Service
Work in the Data Engineering Service
Domain 5: Iceberg
Subdomain 5.1: Understand Iceberg
Understand Iceberg
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