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IBM Watson Data Scientist v1 Sample Questions:

1. Which of the following is NOT a type of data source commonly integrated with Cloud Pak for Data?

A) Cloud storage services
B) Proprietary in-memory databases
C) Social media feeds
D) Paper-based records

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

3. In Cognos Analytics, which two features distinguish stories from dashboards?

A) Stories are text-based and do not contain visualizations.
B) Stories provide a narrative over time.
C) Stories convey a conclusion.
D) Stories automatically load different filters for different users.
E) Stories can be embedded in websites or documents.

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

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

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

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

Solutions: