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Only need to practice for 20 to 30 hours

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IBM Watson Data Scientist v1 Sample Questions:

1. 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) The Area Under the Curve (AUC)
D) Measure escalated calls using A/B testing

2. Which statistical method reduces the number of attributes by lumping highly correlated attributes together?

A) Binning
B) Principal Component Analysis (PCA)
C) Long Short Term Memory Network (LSTM)
D) Synthetic Minority Over-sampling Technique (SMOTE)

3. When determining upskill requirements for a team working on a solution, it is important to consider:

A) The geographical location of the team members
B) The budget allocation for the project
C) The preferred programming languages of the team
D) The existing skill level of the team and the skills required for the project

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

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

5. In the context of model selection, explainability refers to:

A) How colorful and visually appealing the model's output is.
B) The ease with which humans can understand how the model makes decisions.
C) The model's ability to operate without any data.
D) The complexity of the algorithm used to build the model.

Solutions: