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IBM Watson Data Scientist v1 Sample Questions:

1. Which analytic technique is NOT typically used to address business requirements?

A) Decision trees
B) Proofreading
C) Regression analysis
D) Clustering

2. 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) Classification
B) Dimensionality Reduction
C) Regression
D) Clustering

3. When helping businesses articulate and define problems, what is an essential first step?

A) Establishing a clear problem statement
B) Identifying potential data sources
C) Defining key performance indicators (KPIs)
D) Selecting the analytical techniques

4. An essential aspect of the ETL (Extract, Transform, Load) process is:

A) Loading data into a single, centralized database for analysis
B) Extracting the least amount of data for simplicity
C) Ensuring data quality and consistency throughout the process
D) Transforming data exclusively in cloud environments

5. In IBM Garage Methodology, the 'Minimum Viable Product' (MVP) concept is crucial for:

A) Extending the timeline of the project indefinitely
B) Testing hypotheses with the smallest investment of time and resources
C) Maximizing the budget before the product launch
D) Waiting for all possible features to be developed before release

Solutions: