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:

1. Which two graph types are used in EDA to show the relationship between two or more quantitative variables?

A) Stem-and-leaf plot
B) Histogram
C) Heat map
D) Scatter plot
E) Box plot

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

3. Why is it important to create data splits that are reproducible?

A) To use more data for testing than for training
B) To allow for larger test sets for more comprehensive testing
C) To ensure that each model run can be exactly replicated for verification and comparison
D) To guarantee that the model will perform with 100% accuracy on unseen data

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

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

5. Profiling and visualizing data using Watson tools primarily helps in:

A) Identifying patterns, outliers, and insights in the data
B) Simplifying the data collection process without analyzing quality
C) Increasing the quantity of data for analysis
D) Creating aesthetically pleasing presentations without regard to data relevance

Solutions: