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IBM C1000-154 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Visualization and Storytelling | 15-20% | - Interactive dashboards and reports - Communicating findings to stakeholders - Visualization best practices |
| Data Science and Watson Fundamentals | 20-25% | - IBM Watson ecosystem and components - Data collection, preparation, and exploration - Data science methodology and CRISP-DM framework |
| Machine Learning and Model Development | 20-25% | - Supervised and unsupervised learning concepts - Model training, evaluation, and optimization - Feature engineering and selection - Model deployment and monitoring |
| Watson Studio and Watson Knowledge Catalog | 20-25% | - Project management and collaboration - Data governance and cataloging - AutoAI and automatic model building - Data asset management |
| Watson AI Services and Deployment | 10-15% | - Deploying models as REST APIs - Monitoring deployed models - Watson Assistant integration - Watson Discovery overview |
IBM Watson Data Scientist v1 Sample Questions:
Which two graph types are used in EDA to show the relationship between two or more quantitative variables?
- A. Stem-and-leaf plot
- B. Box plot
- C. Histogram
- D. Heat map
- E. Scatter plot
Correct Answer: D,E 🗳️
In the context of building models, why is it important to select a tool based on algorithm requirements and expertise?
- A. It is legally required to use only certain tools for specific types of data.
- B. Tools with the most features should always be selected to ensure model complexity.
- C. Selecting a tool that matches the team's expertise ensures more efficient model development and troubleshooting.
- D. All machine learning tools are essentially the same, making the selection process trivial.
Correct Answer: C 🗳️
Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?
- A. Condition
- B. Filter
- C. Order
- D. Key
Correct Answer: A 🗳️
A virtual assistant has been developed and deployed based on the Watson Assistant service. The assistant will support customers by answering FAQs (Frequent Answered Questions).
Which metric is a good indicator of the performance of the virtual assistant?
- A. Measure escalated calls using A/B testing
- B. The Root Mean Squared Error (RMSE) of words
- C. The F1 score of predicted intents in the Analytics tab
- D. The Area Under the Curve (AUC)
Correct Answer: A 🗳️
When would you use AutoAI to select algorithms for your model?
- A. Only when working with small datasets due to processing limitations.
- B. When you want to automatically explore multiple algorithms and hyperparameters to find the best model.
- C. When the model requirements are extremely specific and no standard algorithm fits.
- D. When you have a deep understanding of all available algorithms and want to manually tune hyperparameters.
Correct Answer: B 🗳️
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