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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

1. In the context of avoiding underfitting and overfitting, what role does splitting the data into training, testing, and validation sets play?

A) It guarantees that the model will perform with 100% accuracy on unseen data
B) It increases the computational complexity without improving model performance
C) It ensures that the model is trained on the maximum amount of data possible
D) It allows for the model to be validated and tested on different subsets of data to check its generalization ability

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

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

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

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

4. An E-retailer uses several important data sources, including web logs which contain all of the information on how customers navigate the web site. There are non-informative entries in the web logs that need to be removed.
During which phase should these non-informative entries be removed in the CRISP-DM model?

A) Modeling
B) Data Preparation
C) Data Understanding
D) Business Understanding

5. Understanding how to use libraries in Python within a deployment environment is essential for:

A) Ensuring that all models are developed without any external libraries
B) Increasing the complexity and maintenance cost of the deployed solution
C) Leveraging specific functionalities for data analysis, manipulation, and model building
D) Deploying models that are incompatible with the deployment environment

Solutions: