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IBM C1000-154 Exam Syllabus Topics:

IBM Watson Data Scientist v1 Sample Questions:

Question 1

In the context of IBM Garage Methodology, which of the following best describes the "Enterprise Design Thinking" stage?

A. It is primarily concerned with the technical deployment of solutions.
B. It emphasizes understanding user outcomes and business needs.
C. It involves the rapid building of prototypes to validate ideas.
D. It focuses on maintaining and operating solutions at scale.

Question 2

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

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

Question 3

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. Deploying models that are incompatible with the deployment environment
D. Leveraging specific functionalities for data analysis, manipulation, and model building

Question 4

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

Question 5

In the context of deployment environments, understanding resources is crucial.
What does this typically involve?

A. Selecting the programming language with the least number of keywords
B. Choosing the most aesthetically pleasing user interface
C. Determining the computational power and memory requirements for the deployed solution
D. Focusing exclusively on the cost of storage

Solutions: