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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

1. Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?

A) PyTorch
B) TensorFlow
C) Keras
D) Pandas

2. 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 allows for the model to be validated and tested on different subsets of data to check its generalization ability
C) It ensures that the model is trained on the maximum amount of data possible
D) It increases the computational complexity without improving model performance

3. Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?

A) Order
B) Condition
C) Key
D) Filter

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. What is data leakage in the context of model training?

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

Solutions: