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IBM Watson Data Scientist v1 Sample Questions:
1. Why is it important to create data splits that are reproducible?
A) To allow for larger test sets for more comprehensive testing
B) To ensure that each model run can be exactly replicated for verification and comparison
C) To guarantee that the model will perform with 100% accuracy on unseen data
D) To use more data for testing than for training
2. Which analytic technique is NOT typically used to address business requirements?
A) Regression analysis
B) Decision trees
C) Proofreading
D) Clustering
3. In the context of IBM Garage Methodology, which of the following best describes the "Enterprise Design Thinking" stage?
A) It involves the rapid building of prototypes to validate ideas.
B) It focuses on maintaining and operating solutions at scale.
C) It emphasizes understanding user outcomes and business needs.
D) It is primarily concerned with the technical deployment of solutions.
4. Which metric is commonly used to evaluate the performance of a regression model?
A) Precision
B) Recall
C) Accuracy
D) Mean Squared Error (MSE)
5. Which search algorithm is known for its exhaustive search over a specified parameter space for hyperparameter tuning?
A) Sequential Search
B) Grid Search
C) Random Search
D) Binary Search
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: B |
By Sophia
