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IBM Watson Data Scientist v1 Sample Questions:

1. How can data splits be made reproducible in a machine learning experiment?

A) By using a different random seed each time the data is split
B) By using a consistent random seed when splitting the data
C) By splitting the data in a sequential manner without randomization
D) By partitioning the data manually

2. Understanding how to use libraries in Python within a deployment environment is essential for:

A) Ensuring that all models are developed without any external libraries
B) Deploying models that are incompatible with the deployment environment
C) Leveraging specific functionalities for data analysis, manipulation, and model building
D) Increasing the complexity and maintenance cost of the deployed solution

3. Given the Confusion matrix below, which is the formula for specificity?

A) TP/(FP + TP)
B) (TP + TN)/(FN + FP + TN + TP)
C) TP/(FN + TP)
D) TN/(TN + FP)

4. Which of the following is true about the AUC measure in the context of classification models?

A) It indicates the number of false positives.
B) It measures the model's accuracy using a single threshold.
C) It represents the degree of separability between classes.
D) It is less useful when the classes are highly imbalanced.

5. In the context of deployment environments, understanding resources is crucial.
What does this typically involve?

A) Determining the computational power and memory requirements for the deployed solution
B) Selecting the programming language with the least number of keywords
C) Choosing the most aesthetically pleasing user interface
D) Focusing exclusively on the cost of storage

Solutions: