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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

1. Assessing the feasibility of a solution(s) often requires evaluating:

A) Preferred communication channels of the project manager
B) The color scheme of the user interface
C) Technical feasibility, cost, and time constraints
D) Market competition only

2. A virtual assistant has been developed and deployed based on the Watson Assistant service. The assistant will support customers by answering FAQs (Frequent Answered Questions).
Which metric is a good indicator of the performance of the virtual assistant?

A) The Area Under the Curve (AUC)
B) The Root Mean Squared Error (RMSE) of words
C) The F1 score of predicted intents in the Analytics tab
D) Measure escalated calls using A/B testing

3. The process of aligning on user intents for a solution involves:

A) Determining the technical feasibility exclusively
B) Focusing on the data management strategies
C) Identifying and understanding the needs and goals of end-users
D) Understanding the business model in depth

4. Which of the following best describes when to use deep learning over traditional machine learning algorithms?

A) When computational resources are limited and model interpretability is not a concern.
B) When working with high-dimensional data, such as images or natural language, where feature extraction is complex.
C) For simple tasks that require straightforward predictive modeling.
D) When the dataset is small and easily interpretable.

5. When comparing models to choose the best one, which factor is least likely to be considered?

A) The complexity of the model
B) The color scheme of the model's output visualizations
C) The explainability of the model's predictions
D) The performance of the model on validation data

Solutions: