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
|
31% |
Spark
|
18% |
Spark MLLib
|
22% |
Deploying a Machine Learning Model
|
18% |
Deep Learning and General Machine
|
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)