Free Practice Questions for Cloudera Machine Learning Engineer (CDP-6001) Certification

    🔄 Last checked for updates July 7th, 2026

    Study with 358 exam-style practice questions designed to help you prepare for the Cloudera Machine Learning Engineer (CDP-6001).

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    Exam Details

    Key information about Cloudera Machine Learning Engineer (CDP-6001)

    Official study guide

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    Question formats CertSafari offers
    • Multiple choice
    exam code:

    CDP-6001

    passing score:

    60%

    delivery method:

    Online, proctored

    target audience:

    Machine Learning Engineers, MLOps professionals, Data Scientists

    allowed resources:

    None

    time limit minutes:

    90

    number of questions:

    45

    Exam Topics & Skills Assessed

    Skills measured (from the official study guide)

    Domain 1: Cloudera Machine Learning

    Subdomain 1.1: Workspaces

    Workspaces

    Subdomain 1.2: Projects

    Projects

    Subdomain 1.3: Experiments

    Experiments

    Subdomain 1.4: Accelerators for ML Projects

    Accelerators for ML Projects

    Subdomain 1.5: Data Visualizations

    Data Visualizations

    Subdomain 1.6: Runtimes

    Runtimes

    Subdomain 1.7: GPUs

    GPUs

    Domain 2: Spark

    Subdomain 2.1: DataFrames

    DataFrames

    Subdomain 2.2: File Types

    File Types

    Subdomain 2.3: Window Functions

    Window Functions

    Domain 3: Spark MLLib

    Subdomain 3.1: Model Selection and Tuning

    Model Selection and Tuning

    Subdomain 3.2: Fitting and Evaluating Models

    Fitting and Evaluating Models

    Subdomain 3.3: Pipelines

    Pipelines

    Domain 4: Deploying a Machine Learning Model

    Subdomain 4.1: Applications/API

    Applications/API

    Subdomain 4.2: Autoscaling and Performance

    Autoscaling and Performance

    Subdomain 4.3: Model Metrics and Monitoring

    Model Metrics and Monitoring

    Subdomain 4.4: ML Flow

    ML Flow

    Domain 5: Deep Learning and General Machine

    Subdomain 5.1: Learning

    Learning

    Subdomain 5.2: General Machine Learning

    General Machine Learning

    Subdomain 5.3: Supervised and unsupervised learning

    Supervised and unsupervised learning

    Subdomain 5.4: Algorithms

    Algorithms

    Techniques & products

    Cloudera Data Platform (CDP)
    Cloudera Machine Learning (CML)
    Spark
    Spark MLLib
    MLOps
    Data Modeling
    Data Science Concepts
    Machine Learning Models
    Model Deployment
    Model Tuning
    DataFrames
    File Types
    Window Functions
    Model Selection
    Model Evaluation
    Pipelines
    Applications
    APIs
    Autoscaling
    Performance Optimization
    Model Metrics
    Model Monitoring
    ML Flow
    Deep Learning
    Supervised Learning
    Unsupervised Learning
    Machine Learning Algorithms
    Workspaces
    Projects
    Experiments
    Accelerators for ML Projects
    Data Visualizations
    Runtimes
    GPUs

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