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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) TensorFlow
B) Keras
C) PyTorch
D) Pandas

2. Which of the following best exemplifies the use of the CRISP-DM methodology in a business context?

A) A business starting with data collection before understanding the problem
B) A project manager focusing exclusively on deployment
C) A company following a strict top-down approach for all decisions
D) A team iterating between different stages as needed based on project feedback

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

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

4. Which hyperparameter is NOT commonly adjusted in a deep learning model?

A) The color of the model's output
B) Learning rate
C) Number of layers
D) Activation function

5. What is a critical consideration when selecting the right model class for a given problem?

A) The model's ability to produce results quickly, regardless of accuracy.
B) The availability of high-performance computing resources.
C) The theoretical complexity of the model, with more complex models always being preferred.
D) The nature of the problem (e.g., classification, regression) and the characteristics of the data.

Solutions: