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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

Question 1

In the context of assessing data quality in Watson Knowledge Catalog (WKC) and Cloud Pak for Data (CPD), what is a primary focus?

A. Enhancing the graphical user interface
B. Focusing on the data's color scheme
C. Increasing the volume of data collected
D. Analyzing completeness, consistency, and accuracy of data

Question 2

Which metric would be most appropriate for evaluating a model in a highly imbalanced classification problem?

A. Accuracy
B. Recall
C. F1-score
D. Precision

Question 3

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

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

Question 4

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

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

Question 5

Which metric is commonly used to evaluate the performance of a regression model?

A. Accuracy
B. Recall
C. Precision
D. Mean Squared Error (MSE)

Solutions: