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IBM Watson Data Scientist v1 Sample Questions:

1. Choosing the best model often involves trade-offs.
Which scenario represents such a trade-off?

A) Opting for the most complex model to ensure ease of use
B) Choosing the model with the largest number of features, regardless of performance
C) Preferring a model with higher accuracy over one that is slightly less accurate but much more interpretable
D) Selecting a model based solely on its execution speed, without regard to accuracy

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

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

3. When managing data with Cloud Pak for Data Services, what is a common task?

A) Avoiding the automation of data processing tasks
B) Ignoring data security and compliance requirements
C) Reading data from and writing data to Watson Studio
D) Using the same data management approach for all types of data, regardless of size or format

4. Understanding how to use libraries in Python within a deployment environment is essential for:

A) Increasing the complexity and maintenance cost of the deployed solution
B) Ensuring that all models are developed without any external libraries
C) Leveraging specific functionalities for data analysis, manipulation, and model building
D) Deploying models that are incompatible with the deployment environment

5. How do you determine which tool to use based on algorithm requirements and expertise?

A) Choose the newest tools on the market for the most up-to-date features.
B) Consider the tool's compatibility with the algorithm requirements and the team's expertise.
C) Select tools that the team is already familiar with, even if they are not the best fit for the algorithm.
D) Always use the most complex tool to ensure the model's accuracy.

Solutions: