CDP Machine Learning Engineer

Exam format

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CDP Machine Learning Engineer Exam Format

CDP-6001

Everything the official exam blueprint specifies: question count, time limit, scoring and the weight each domain carries. The Cloudera CDP Machine Learning Engineer certification validates expertise in designing, deploying, and operationalizing machine learning models on the Cloudera Data Platform (CDP). It covers the full ML lifecycle from data engineering to production monitoring, emphasizing MLOps and scalable pipelines. Candidates must demonstrate proficiency with CDP tools like Cloudera Machine Learning (CML), Apache Spark, Airflow, and MLflow. The exam focuses on practical skills for building robust ML systems that meet enterprise requirements for performance, governance, and reproducibility. Ideal for professionals seeking to advance their careers as ML engineers in big data environments.

45 questions
90 min
60% to pass
4 domains

Exam facts at a glance

What we know about this exam, and where the information comes from.

SpecificationValue
Questions45
Time limit90 minutes (120s per question)
Passing score60%
Domains4
LevelAssociate
Question bank here45 questions
SourceCertilum's own record — the vendor does not publish this figure

Official domain weights

The percentage of the exam each domain carries. Weight your revision by these numbers, not by what you find hardest.

DomainWeightTopicsPractice Qs
Data Engineering for ML25%
  • Data extraction from CDP sources (Hive, HDFS, Kudu)
  • Data cleaning and validation using Spark and Impala
  • Handling missing data and outliers
  • +2 more
11
Model Deployment and Serving25%
  • Model serialization and versioning (MLflow, CML)
  • Deploying models to production (CDSW, Kubernetes)
  • REST API and batch inference endpoints
  • +2 more
11
Machine Learning Pipeline Design30%
  • Data ingestion and transformation strategies
  • Feature engineering and selection
  • Model training and evaluation workflows
  • +2 more
14
Machine Learning Operations (MLOps)20%
  • CI/CD for ML pipelines
  • Model registry and governance with MLflow
  • Experiment tracking and reproducibility
  • +2 more
9

The heaviest domain is Data Engineering for ML at 25%, and that is where lost points cost you the most. Certilum scores you per domain so you can see the difference between a knowledge gap and a formatting problem.

Note from the vendor record: Official price in the Cloudera Education store (USD, tax not included). No retake discount: each attempt is paid separately (7-day waiting period). Exam CDP-6001 (Cloudera Machine Learning Engineer). Official exam page

More about the CDP Machine Learning Engineer exam

Explore the rest of this page series: format, cost, difficulty, requirements and how to prepare.

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Frequently asked questions

Everything you need to know about the CDP Machine Learning Engineer exam.