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IBM Watson Data Scientist v1 Sample Questions:

1. 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) Filter
C) Condition
D) Order

2. In the case of imbalanced data, what technique is recommended to ensure that the train and test sets have similar distributions of the target variable?

A) Random split without considering the target variable
B) Stratified split
C) Using only the majority class for splitting
D) Splitting based on the order of data collection

3. Which of the following best describes when to use deep learning over traditional machine learning algorithms?

A) When the dataset is small and easily interpretable.
B) For simple tasks that require straightforward predictive modeling.
C) When computational resources are limited and model interpretability is not a concern.
D) When working with high-dimensional data, such as images or natural language, where feature extraction is complex.

4. A model's performance is not solely dependent on its accuracy but also on:

A) Metrics like precision, recall, and F1 score
B) The choice of programming language
C) The number of features selected
D) The color of the visualization charts

5. When comparing models to choose the best one, which factor is least likely to be considered?

A) The performance of the model on validation data
B) The explainability of the model's predictions
C) The color scheme of the model's output visualizations
D) The complexity of the model

Solutions: