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IBM C1000-154 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Preparation and Analysis | - Data cleaning and preprocessing - Feature engineering basics - Exploratory data analysis |
| IBM Watson Tools and Platform | - IBM Watson Studio usage - Model development and deployment |
| Machine Learning Methods | - Unsupervised learning - Model evaluation and validation - Supervised learning |
| Data Science Fundamentals | - Types of data and data sources - Data science lifecycle |
| Data Visualization and Communication | - Communicating insights to stakeholders - Visualization techniques |
IBM Watson Data Scientist v1 Sample Questions:
1. What is a key disadvantage of using Grid Search for hyperparameter tuning?
A) It is too quick and may miss out on evaluating some hyperparameters
B) It requires no prior knowledge of the hyperparameters
C) It is unable to handle discrete parameters
D) It can be computationally expensive and time-consuming due to its exhaustive nature
2. Given the Confusion matrix below, which is the formula for specificity?
A) TP/(FN + TP)
B) (TP + TN)/(FN + FP + TN + TP)
C) TN/(TN + FP)
D) TP/(FP + TP)
3. How does the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology begin its process model?
A) Data Preparation
B) Evaluation
C) Business Understanding
D) Model Building
4. Assessing the feasibility of a solution(s) often requires evaluating:
A) Technical feasibility, cost, and time constraints
B) The color scheme of the user interface
C) Preferred communication channels of the project manager
D) Market competition only
5. What is data leakage in the context of model training?
A) A situation where the test data is not available
B) When data from outside the training dataset is accidentally included in the training process
C) Leakage of sensitive information due to poor data handling practices
D) Loss of data during the splitting process
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: A | Question # 5 Answer: B |
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