CDP Machine Learning Engineer Exam Guide CDP-6001

Audience

The exam tests the skills and knowledge required by machine learning engineers to use the Cloudera Data Platform:

It is required for a Machine Learning Engineer professional, to know how to work proficiently designing, developing machine learning models using MLOps and Cloudera Machine Learning. Strong grasp of data modeling, data science concepts, deploying and tuning models. Expertise in Spark, Spark MLLib, algorithms, and general machine learning.

Exam Details

Exam Number: CDP-6001
Number of questions: 45
Duration: 90 minutes
Pass Score: 60%
Delivery: online, proctored
Please review the system requirements to enable online, proctored testing through QuestionMark
Allowed resources: none.
You may not use reference materials, white papers, user guides or any other resources during your exam.
Support: if you need help, please email us

Cloudera Skills & Knowledge Measured

This exam measures the skills and knowledge topics listed in Table 1. below. The weighting of each topic is also listed.

Topic	WEIGHT (% of exam)
Cloudera Machine Learning Workspaces Projects Experiments Applied ML Prototypes Data Visualizations Runtimes GPUs	31%
Spark DataFrames File Types Window Functions	18%
Spark MLLib Model Selection and Tuning Fitting and Evaluating Models Pipelines	22%
Deploying a Machine Learning Model Applications/API Autoscaling and Performance Model Metrics and Monitoring ML Flow	18%
Deep Learning and General Machine Learning General Machine Learning Supervised and unsupervised learning Algorithms	11%

Suggested Training

Although optional, the Cloudera Educational Services courses listed below cover some of the same topics as listed in the table above. Real world, hands-on experience is highly recommended whether you participate in training or not.

Predicting with Cloudera Machine Learning (ILT and OnDemand)

CDP Data Visualization Training (OnDemand only)

Helpful documentation

Cloudera Machine Learning

Misa Amane