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IBM Watson Data Scientist v1 Sample Questions:

1. Which search algorithm is known for its exhaustive search over a specified parameter space for hyperparameter tuning?

A) Binary Search
B) Grid Search
C) Random Search
D) Sequential Search

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

3. The ROC curve is a graphical representation that shows the performance of a classification model at all classification thresholds.
What does ROC stand for?

A) Regression Operation Characteristic
B) Random Output Curve
C) Recall Operation Curve
D) Receiver Operating Characteristic

4. In the case of imbalanced data, what technique is recommended to ensure that the train and test sets have similar distributions of the target variable?

A) Splitting based on the order of data collection
B) Using only the majority class for splitting
C) Random split without considering the target variable
D) Stratified split

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

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

Solutions: