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IBM Watson Data Scientist v1 Sample Questions:

1. 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

2. Automating data processing and model deployment with jobs in Watson Studio helps to:

A) Increase the need for manual intervention in the model lifecycle
B) Limit the ability to update models based on new data
C) Enhance the reproducibility and efficiency of model deployments
D) Reduce the scalability of deployed solutions

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

5. When anticipating additional data sources that might be relevant, what is a crucial factor to consider?

A) The color scheme of the data visualization
B) The data source's popularity on social media
C) The graphical interface of the data source
D) The relevance of the data source to the business problem

Solutions: