IBM Machine Learning Data Scientist v1 : C1000-144

IBM C1000-144 Actual PDF
  • Exam Code: C1000-144
  • Exam Name: IBM Machine Learning Data Scientist v1
  • Updated: Aug 06, 2026
  • Q & A: 0 Questions and Answers

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IBM C1000-144 Exam Syllabus Topics:

SectionWeightObjectives
Evaluate Business Problem Including Ethical Implications21%- Business Problem Evaluation
  • 1. Assess progress on the AI Ladder
  • 2. Understand ethical challenges in the business problem
  • 3. Understand available data
  • 4. Perform AI design thinking
  • 5. Understand business requirements
Model Selection and Development23%- Machine Learning Modeling
  • 1. Interpret model results
  • 2. Optimize model parameters
  • 3. Select appropriate machine learning algorithms
  • 4. Train machine learning models
  • 5. Evaluate model performance
IBM Watson Studio and AI Tools18%- IBM AI Platform Usage
  • 1. Manage projects and assets
  • 2. Collaborate within data science environments
  • 3. Work with IBM AI tools and services
  • 4. Use IBM Watson Studio
Model Deployment and Monitoring20%- Operationalization
  • 1. Monitor model performance
  • 2. Implement enterprise AI workflows
  • 3. Manage model lifecycle
  • 4. Deploy machine learning models
Exploratory Data Analysis Including Data Preparation18%- Data Understanding and Preparation
  • 1. Prepare and clean data
  • 2. Explore and profile data
  • 3. Handle missing values and outliers
  • 4. Perform feature engineering
  • 5. Visualize and summarize data

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