IBM A1000-144 exam : Assessment: IBM Machine Learning Data Scientist v1

A1000-144 Exam Simulator
  • Exam Code: A1000-144
  • Exam Name: Assessment: IBM Machine Learning Data Scientist v1
  • Updated: Sep 14, 2026
  • Q & A: 0 Questions and Answers

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IBM A1000-144 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Model Refinement and Deployment18%- ML pipeline and deployment
  • 1. Hyperparameter tuning
    • 2. Feature engineering
      • 3. Training environment setup
        • 4. Tool selection
          • 5. Model explainability
            Topic 2: Exploratory Data Analysis and Data Preparation18%- Data understanding and preparation
            • 1. Data balancing and partitioning
              • 2. Data visualization
                • 3. Data cleaning and anonymization
                  Topic 3: Evaluate business problem including ethical implications21%- Business requirements understanding
                  • 1. AI design thinking
                    • 2. Ethical considerations in AI
                      • 3. Identify available data
                        • 4. AI Ladder assessment
                          • 5. Define business requirements
                            Topic 4: Model Implementation26%- Machine learning modeling
                            • 1. Supervised learning (classification)
                              • 2. Supervised learning (regression)
                                • 3. Dimensionality reduction
                                  • 4. Unsupervised learning (clustering)
                                    Topic 5: Model Monitoring in Production17%- Operational ML monitoring
                                    • 1. Bias detection
                                      • 2. Production monitoring
                                        • 3. Model evaluation

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