IBM C1000-154 : IBM Watson Data Scientist v1

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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

Question 1

What is data leakage in the context of model training?

A. A situation where the test data is not available
B. Loss of data during the splitting process
C. Leakage of sensitive information due to poor data handling practices
D. When data from outside the training dataset is accidentally included in the training process

Question 2

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

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

Question 3

In classification models, which of the following metrics is NOT directly derived from the confusion matrix?

A. Recall
B. F1-score
C. Mean Absolute Error (MAE)
D. Precision

Question 4

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. The F1 score of predicted intents in the Analytics tab
C. The Area Under the Curve (AUC)
D. Measure escalated calls using A/B testing

Question 5

F1-score is particularly useful when:

A. The data is completely balanced.
B. The dataset size is extremely large.
C. You need a balance between precision and recall.
D. Only the model's accuracy matters.

Solutions: