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IBM Watson Data Scientist v1 Sample Questions:

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 focuses on maintaining and operating solutions at scale.
D) It involves the rapid building of prototypes to validate ideas.

2. What is a key disadvantage of using Grid Search for hyperparameter tuning?

A) It is unable to handle discrete parameters
B) It is too quick and may miss out on evaluating some hyperparameters
C) It requires no prior knowledge of the hyperparameters
D) It can be computationally expensive and time-consuming due to its exhaustive nature

3. Which of the following is a common issue identified during the preprocessing of data?

A) Presence of missing values
B) Aesthetically unpleasing charts
C) Overly detailed documentation
D) Excessively large file names

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

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

5. Which type of machine learning algorithm would be most appropriate for predicting house prices based on various features like location, size, and number of bedrooms?

A) Regression
B) Dimensionality Reduction
C) Clustering
D) Classification

Solutions: