CDP-6001 Exam Breakdown: PySpark Code That Covers 58% of the Cloudera ML Exam

A DEV Community article explains that Cloudera's CDP-6001 Machine Learning Engineer exam has 45 questions to be answered in 90 minutes, with a 60% passing mark. Three domains, Spark, Spark MLlib, and deploying models, together make up 58% of the test, and all are practiced through code in a Cloudera Machine Learning session. The author walks through a sample churn project covering loading events, window features, pipelines, tuning, MLflow tracking, and deployment. Because the exam is proctored and forbids reference material, the author argues that hand-writing the code beforehand helps candidates recognize errors within the roughly two minutes available per question. The piece also covers Spark DataFrame practices such as explicit schemas and partitioned Parquet files.