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IBM Watson Data Scientist v1 Sample Questions:

1. Choosing the best model often involves trade-offs.
Which scenario represents such a trade-off?

A) Opting for the most complex model to ensure ease of use
B) Selecting a model based solely on its execution speed, without regard to accuracy
C) Choosing the model with the largest number of features, regardless of performance
D) Preferring a model with higher accuracy over one that is slightly less accurate but much more interpretable

2. Which metric would be most appropriate for evaluating a model in a highly imbalanced classification problem?

A) Precision
B) Accuracy
C) F1-score
D) Recall

3. Assessing the feasibility of a solution(s) often requires evaluating:

A) Technical feasibility, cost, and time constraints
B) Market competition only
C) The color scheme of the user interface
D) Preferred communication channels of the project manager

4. In the context of building models, why is it important to select a tool based on algorithm requirements and expertise?

A) All machine learning tools are essentially the same, making the selection process trivial.
B) Selecting a tool that matches the team's expertise ensures more efficient model development and troubleshooting.
C) Tools with the most features should always be selected to ensure model complexity.
D) It is legally required to use only certain tools for specific types of data.

5. Which two graph types are used in EDA to show the relationship between two or more quantitative variables?

A) Histogram
B) Scatter plot
C) Stem-and-leaf plot
D) Box plot
E) Heat map

Solutions: