IBM C1000-144 Exam : IBM Machine Learning Data Scientist v1

  • Exam Code: C1000-144
  • Exam Name: IBM Machine Learning Data Scientist v1
  • Updated: Oct 07, 2026
  • Q & A: 0 Questions and Answers

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IBM C1000-144 Exam Syllabus Topics:

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

                                          C1000-144 Exam FAQs

                                          The IBM Machine Learning Data Scientist v1 exam requires a score of 45/61 to pass, and the official registration fee is Varies by region (typically ~USD 200, IBM exam pricing subject to change). Planning around both numbers helps you set a realistic budget and study schedule.

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                                          You can register for the IBM Machine Learning Data Scientist v1 exam through the official channels:

                                          The IBM Machine Learning Data Scientist v1 exam contains 61 questions, and you will have 90 minutes minutes to complete them. Practicing under the same time pressure makes the real exam feel like a rehearsal.

                                          The IBM Machine Learning Data Scientist v1 exam is scored on a scale where 45/61 is required to pass, and the official exam fee is Varies by region (typically ~USD 200, IBM exam pricing subject to change).

                                          No strict formal prerequisites, but recommended experience in data science, Python, and machine learning concepts.

                                          You can confirm the current eligibility requirements on the official C1000-144 exam page before you register.

                                          The IBM Machine Learning Data Scientist v1 practice questions are organized around the official exam objectives. Key topics include:

                                          • Model Monitoring in Production (17%)
                                          • Model Refinement and Deployment (18%)
                                          • Exploratory Data Analysis and Data Preparation (18%)

                                          Targeted practice against these topics is far more efficient than unfocused reading.

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