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IBM Watson Data Scientist v1 : C1000-154 Exam

C1000-154 Exam Questions
  • Exam Code: C1000-154
  • Exam Name: IBM Watson Data Scientist v1
  • Updated: Sep 17, 2026
  • Q & A: 82 Questions and Answers
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IBM C1000-154 Exam Syllabus Topics:

SectionWeightObjectives
Deploy the Solution10%- Monitor model performance post-deployment
- Deploy models as APIs in Watson
- Ensure scalability and reliability
Visualization and Storytelling5%- Communicate results to stakeholders
- Create effective visualizations
Governance and Compliance5%- Data security and privacy regulations
- Model governance and lineage tracking
Evaluate the Model15%- Validate model generalizability
- Assess classification/regression metrics
- Identify bias and overfitting
Prepare the Data18%- Feature engineering and selection
- Clean, transform, and normalize datasets
- Use Watson tools for data preparation
- Handle missing values and outliers
Collect and Explore the Data15%- Detect patterns, outliers, and correlations
- Identify and access data sources in Watson Studio
- Perform descriptive statistics and exploratory analysis
Build the Model20%- Perform hyperparameter tuning
- Train models using Watson AutoAI and SPSS
- Compare and select best performing models
- Select appropriate ML algorithms
Understand the Business Problem12%- Translate business requirements into data science objectives
- Apply data science methodologies (CRISP-DM)
- Define success metrics and constraints

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