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IBM Watson Data Scientist v1 Sample Questions:

1. When would you use AutoAI to select algorithms for your model?

A) When you want to automatically explore multiple algorithms and hyperparameters to find the best model.
B) When the model requirements are extremely specific and no standard algorithm fits.
C) Only when working with small datasets due to processing limitations.
D) When you have a deep understanding of all available algorithms and want to manually tune hyperparameters.

2. When deploying models in Watson Machine Learning, what is essential for ensuring the models perform as expected in production?

A) Continuous monitoring and evaluation of model performance
B) Using the highest number of resources for every model
C) Deployment without any security measures
D) Limiting access to the model to a few select users

3. The first step in performing exploratory data analysis (EDA) typically involves:

A) Determining the hypothesis for the analysis
B) Selecting a random sample of data to analyze
C) Connecting to as many data sources as possible
D) Choosing a color palette for data visualization

4. Which Python library is commonly used for data manipulation and analysis, and is available in Cloud Pak for Data?

A) PyTorch
B) Keras
C) TensorFlow
D) Pandas

5. To add data assets from the catalog to a project in Cloud Pak for Data, which step is essential?

A) Assessing the compatibility of data formats
B) Browsing data assets based solely on their names
C) Selecting random data sets for variety
D) Maximizing the volume of data regardless of relevance

Solutions: