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IBM Watson Data Scientist v1 Sample Questions:

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

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

2. Key metrics for a solution should be defined based on:

A) The number of available data scientists
B) The specific objectives and desired outcomes of the project
C) The most recent technological trends
D) The personal preferences of the project stakeholders

3. Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?

A) PyTorch
B) Keras
C) TensorFlow
D) Pandas

4. Selecting the right model for a data science project depends on:

A) The project's budget only
B) The preference of the data scientist
C) The size of the dataset only
D) The type of data and the problem to be solved

5. Which statistical method reduces the number of attributes by lumping highly correlated attributes together?

A) Binning
B) Principal Component Analysis (PCA)
C) Long Short Term Memory Network (LSTM)
D) Synthetic Minority Over-sampling Technique (SMOTE)

Solutions: