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IBM Watson Data Scientist v1 Sample Questions:

1. In the deployment phase, why is it important to know the different data sources available in Cloud Pak for Data?

A) Because only one type of data source can be used in any deployment
B) To limit the deployment to only use local file storage
C) To effectively integrate and manage data from various sources for analysis and model training
D) To ensure that all data sources are manually processed

2. The first step in performing exploratory data analysis (EDA) typically involves:

A) Connecting to as many data sources as possible
B) Choosing a color palette for data visualization
C) Determining the hypothesis for the analysis
D) Selecting a random sample of data to analyze

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

4. Which analytic technique is NOT typically used to address business requirements?

A) Decision trees
B) Clustering
C) Regression analysis
D) Proofreading

5. When implementing cross-validation, which of the following is NOT a common approach?

A) K-Fold Cross-Validation
B) Using the entire dataset as both the training and the test set in each iteration
C) Stratified K-Fold Cross-Validation for imbalanced datasets
D) Leave-One-Out Cross-Validation (LOOCV)

Solutions: