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IBM Watson Data Scientist v1 Sample Questions:

1. Which feature is NOT available when managing models with Watson Machine Learning?

A) Rollback capabilities for model versions
B) Real-time performance monitoring
C) Version control of deployed models
D) Automatic conversion of all models to deep learning models

2. Which type of machine learning algorithm would be most appropriate for predicting house prices based on various features like location, size, and number of bedrooms?

A) Regression
B) Dimensionality Reduction
C) Classification
D) Clustering

3. Which of the following is true regarding cross-validation?

A) It involves training the model on the entire dataset at once.
B) It should be avoided as it leads to overfitting.
C) It helps in identifying the model's performance variability across different data splits.
D) It decreases the variability of the model performance estimation.

4. 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) Condition
C) Order
D) Filter

5. Which metric is commonly used to evaluate the performance of a regression model?

A) Recall
B) Precision
C) Mean Squared Error (MSE)
D) Accuracy

Solutions: