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IBM C1000-154 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Visualization and Storytelling | 15-20% | - Interactive dashboards and reports - Visualization best practices - Communicating findings to stakeholders |
| Topic 2: Watson Studio and Watson Knowledge Catalog | 20-25% | - Data asset management - Project management and collaboration - Data governance and cataloging - AutoAI and automatic model building |
| Topic 3: Watson AI Services and Deployment | 10-15% | - Watson Discovery overview - Deploying models as REST APIs - Monitoring deployed models - Watson Assistant integration |
| Topic 4: Machine Learning and Model Development | 20-25% | - Model deployment and monitoring - Feature engineering and selection - Model training, evaluation, and optimization - Supervised and unsupervised learning concepts |
| Topic 5: Data Science and Watson Fundamentals | 20-25% | - IBM Watson ecosystem and components - Data science methodology and CRISP-DM framework - Data collection, preparation, and exploration |
IBM Watson Data Scientist v1 Sample Questions:
Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?
- A. Keras
- B. PyTorch
- C. Pandas
- D. TensorFlow
Correct Answer: C 🗳️
F1-score is particularly useful when:
- A. The dataset size is extremely large.
- B. Only the model's accuracy matters.
- C. The data is completely balanced.
- D. You need a balance between precision and recall.
Correct Answer: D 🗳️
In the context of assessing data quality in Watson Knowledge Catalog (WKC) and Cloud Pak for Data (CPD), what is a primary focus?
- A. Enhancing the graphical user interface
- B. Focusing on the data's color scheme
- C. Analyzing completeness, consistency, and accuracy of data
- D. Increasing the volume of data collected
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. Key
- B. Condition
- C. Order
- D. Filter
Correct Answer: B 🗳️
In classification models, which of the following metrics is NOT directly derived from the confusion matrix?
- A. Recall
- B. Precision
- C. F1-score
- D. Mean Absolute Error (MAE)
Correct Answer: D 🗳️
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