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IBM Certification C1000-144

C1000-144

Exam Code: C1000-144

Exam Name: IBM Machine Learning Data Scientist v1

Updated: Jul 20, 2026

Q&A Number: 0 Q&As

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IBM C1000-144 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Evaluate business problem including ethical implications21%- Business requirements understanding
  • 1. Understand available data
    • 2. Ethical challenges in AI/ML problem framing
      • 3. AI Ladder assessment
        • 4. Understand business requirements
          • 5. AI design thinking process
            Topic 2: Model Refinement and Deployment18%- Model lifecycle operations
            • 1. Training environment configuration
              • 2. Hyperparameter tuning
                • 3. Model explainability
                  • 4. Tool selection
                    • 5. Feature engineering and selection
                      Topic 3: Model Implementation26%- Machine learning methods
                      • 1. Dimensionality reduction techniques
                        • 2. Supervised learning: regression
                          • 3. Supervised learning: classification
                            • 4. Unsupervised learning: clustering
                              Topic 4: Model Monitoring in Production17%- Operational monitoring
                              • 1. Production monitoring
                                • 2. Bias detection and fairness assessment
                                  • 3. Model performance evaluation
                                    Topic 5: Exploratory Data Analysis and Data Preparation18%- Data preparation techniques
                                    • 1. Data visualization
                                      • 2. Data balancing and partitioning
                                        • 3. Data cleaning, labeling, anonymization

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