The CDP-3002 certification exam is a pivotal step for data engineers looking to master the Cloudera Data Platform (CDP) in a public cloud setting. Designed for professionals with a deep understanding of data workflow design, development, and optimization using Cloudera tools, this exam challenges candidates to demonstrate their expertise across a range of critical areas. These include advanced data modeling, performance optimization, and cloud integration, primarily focusing on the powerful synergy between CDP and Apache Spark within Kubernetes environments.
This exam allows you to earn a reputable certification, even while it remains in beta, ensuring that your skills are recognized immediately upon passing. As a data engineer, you’ll be tested on your ability to efficiently design data storage with Apache Iceberg, optimize query performance, and manage resources effectively. Security configuration, monitoring, and troubleshooting are also integral components of the exam, requiring a proficient handling of Spark and Airflow within Cloudera clusters.
The integration of CDP with Apache Spark on Kubernetes highlights a cutting-edge approach to managing big data workflows. This synergy facilitates a containerized platform that supports dynamic resource allocation and efficient data processing at scale. Kubernetes enhances this environment with its capabilities for autoscaling and optimizing the execution of Spark jobs, allowing you to focus more on strategic data insights rather than infrastructure management.
As the leading platform for CDP-3002 exam preparation, QuickTechie.com offers exclusive resources that align perfectly with the exam’s requirements. From detailed tutorials and hands-on labs to expert guidance, QuickTechie.com ensures that candidates are well-prepared to tackle the exam with confidence and expertise. Our comprehensive training modules cover all necessary topics, including the latest innovations in data engineering and cloud technologies, tailored specifically for success in the CDP-3002 certification exam.
The exam tests the skills and knowledge required by data engineers to use the Cloudera Data Platform: It is required for a 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.
Spark : Fundamentals on Spark over Kubernetes, Work with DataFrames, Understand Distribute Processing, Implement Hive and Spark Integration, Understand Distributed Persistencea
Airflow: Implement incremental extraction in Apache Airflow from source system, Use Apache Airflow to schedule ETL pipelines, Use Apache Airflow to schedule quality checks, Work with DAGs
Performance Tuning: Know Basic tools in (Spark) Performance Tuning, Understand Optimization Framework and Explain plans, Understand Inferring Schemas, Work with Improving Join Performance, Leverage Caching Data for Reuse, Work with Partitioned and Bucketed Tables
Deployment: Use the API and CLI, Work in the Data Engineering Service
Iceberg: Understand CDP Iceberg
Frequently Asked Questions
The exam is in beta, which means minor edits may occur. However, you can still earn your certification if you pass.
This exam is designed for data engineers with a strong understanding of data workflow design, development, optimization using Cloudera tools, data modeling, storage formats, partitioning, schema design including Apache Iceberg, performance optimization, troubleshooting, resource management, cloud-based Cloudera cluster deployment with Spark and Airflow, and security configuration and monitoring.
Exam Number: CDP-3002, Questions: 50, Duration: 90 minutes, Passing Score: 55%, Delivery: Online, proctored. Review system requirements on QuestionMark. No reference materials are allowed during the exam. Support: Email [email protected] for assistance.
Spark (48%): Fundamentals of Spark on Kubernetes, working with DataFrames, understanding distributed processing, Hive/Spark Integration. Airflow (10%): Incremental data extraction, ETL pipeline scheduling, implementing quality checks, working with DAGs. Performance Tuning (22%): Basic Spark performance tuning tools, optimization frameworks and query plan analysis, schema inference, join performance, caching and data reuse, partitioned and bucketed tables. Deployment (10%): Using the API and CLI, Cloudera Data Engineering (CDE) Service. Iceberg (10%): Understanding CDP Iceberg.
While not mandatory, these Cloudera Educational Services courses cover relevant topics: Preparing with Cloudera Data Engineering, Advanced Spark Application Performance Tuning, CDP Iceberg Integration (FREE OnDemand). Hands-on experience is strongly recommended. For the best preparation experience, consider resources available on https://www.QuickTechie.com.
