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IBM Watson Data Scientist v1 Sample Questions:

1. What is the primary purpose of partitioning data into training and test sets?

A) To ensure that the model gets exposed to all possible data scenarios during training
B) To increase the computational efficiency of model training
C) To evaluate the model's performance on unseen data
D) To maximize the accuracy of the model by using all data for training

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

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

3. In defining a business problem, what is essential to align with the stakeholders?

A) Project milestones
B) Business objectives
C) Data sources
D) Technical requirements

4. Which of the following is a critical first step in understanding a business problem for data science projects?

A) Selecting the machine learning algorithm
B) Deploying the model
C) Defining the project scope
D) Choosing the visualization tools

5. A virtual assistant has been developed and deployed based on the Watson Assistant service. The assistant will support customers by answering FAQs (Frequent Answered Questions).
Which metric is a good indicator of the performance of the virtual assistant?

A) The Root Mean Squared Error (RMSE) of words
B) Measure escalated calls using A/B testing
C) The F1 score of predicted intents in the Analytics tab
D) The Area Under the Curve (AUC)

Solutions: