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IBM C1000-154 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Methods | - Unsupervised learning - Model evaluation and validation - Supervised learning |
| Data Preparation and Analysis | - Feature engineering basics - Data cleaning and preprocessing - Exploratory data analysis |
| Data Visualization and Communication | - Communicating insights to stakeholders - Visualization techniques |
| IBM Watson Tools and Platform | - IBM Watson Studio usage - Model development and deployment |
| Data Science Fundamentals | - Types of data and data sources - Data science lifecycle |
IBM Watson Data Scientist v1 Sample Questions:
1. The ROC curve is a graphical representation that shows the performance of a classification model at all classification thresholds.
What does ROC stand for?
A) Recall Operation Curve
B) Regression Operation Characteristic
C) Receiver Operating Characteristic
D) Random Output Curve
2. Selecting the right model for a data science project depends on:
A) The project's budget only
B) The type of data and the problem to be solved
C) The size of the dataset only
D) The preference of the data scientist
3. How do you determine which tool to use based on algorithm requirements and expertise?
A) Always use the most complex tool to ensure the model's accuracy.
B) Consider the tool's compatibility with the algorithm requirements and the team's expertise.
C) Select tools that the team is already familiar with, even if they are not the best fit for the algorithm.
D) Choose the newest tools on the market for the most up-to-date features.
4. The process of aligning on user intents for a solution involves:
A) Understanding the business model in depth
B) Determining the technical feasibility exclusively
C) Focusing on the data management strategies
D) Identifying and understanding the needs and goals of end-users
5. Which of the following is a key feature of Watson Knowledge Catalog (WKC) for identifying appropriate data sources?
A) Real-time messaging
B) Automated code compilation
C) Data discovery and categorization
D) Cloud storage optimization
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: B | Question # 4 Answer: D | Question # 5 Answer: C |
