Free Coupon Code Cloudera Data Engineer Certification |CDP-DE 100% OFF

Udemy Free coupon code for Cloudera Data Engineer Certification |CDP-DE course taught by HadoopExam Learning Resources, which has 579 students and is rated 2.0 out of 0 votes. This course is about 7 hour(s) in English and was updated on December 17, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Data Engineer exam topics with real interview-style Q&A—covering Spark on Kubernetes, Apache Airflow, Iceberg, Performan

Declaration: Cloudera® is a registered trademark of Cloudera, Inc. This course material is not affiliated with or endorsed by Cloudera, Inc.

This course contains the use of artificial intelligence.

• Include 2 Practice Paper (120 Questions)

• Each Session pdf is available to download.

• Entire syllabus is covered for Cloudera CDP Data Engineer Certification exam, which is a main focus of this course.

Are you preparing for the Cloudera Data Engineer Certification or aiming to succeed in data engineering job interviews? This course is designed to help you master Cloudera Data Platform (CDP) with a unique interview-style approach that goes far beyond theory. Instead of long labs or heavy coding exercises, you will learn through realistic conversations, scenario-based Q&A, and exam-focused explanations—the way hiring managers and certification exams truly test your knowledge.

The Cloudera Data Engineer exam is one of the most recognized certifications for professionals in big data and cloud-based analytics. It validates your ability to design, develop, and optimize data workflows using Cloudera tools. The exam tests you on Apache Spark on Kubernetes, Apache Airflow, Apache Iceberg, performance tuning, deployment strategies, and CDP operations. With 50 questions in 90 minutes and a pass score of 55%, the exam demands both clarity of concepts and the ability to apply them under pressure.

In this course, you’ll cover all major domains:

• Spark (48%) — DataFrames, distributed processing, Hive integration, persistence, Spark SQL optimization, shuffle management, and Spark on Kubernetes.

• Airflow (10%) — Incremental extraction, ETL orchestration, DAG design, retries, SLAs, and quality checks.

• Performance Tuning (22%) — Explain plans, skew handling, broadcast joins, partitioning, bucketing, caching, and small-file remediation.

• Deployment (10%) — Using CDP Data Engineering Service (DES) CLI/API, monitoring jobs, canary releases, and rollbacks.

• Iceberg (10%) — Schema evolution, time travel, upserts/deletes, compaction, and hidden partitioning.

By the end, you’ll be able to confidently explain key concepts in an interview, tackle certification questions with precision, and apply best practices in real-world CDP projects. Whether you’re a beginner to Cloudera or an experienced data engineer looking to validate your expertise, this course gives you a clear, structured, and exam-oriented path to success.

Join today and get one step closer to becoming a Cloudera-certified Data Engineer and standing out in the competitive world of big data.