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IBM Watson Data Scientist v1 Sample Questions:

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

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

2. Which of the following is a key feature of Watson Knowledge Catalog (WKC) for identifying appropriate data sources?

A) Cloud storage optimization
B) Automated code compilation
C) Data discovery and categorization
D) Real-time messaging

3. Selecting the right model for a data science project depends on:

A) The project's budget only
B) The preference of the data scientist
C) The size of the dataset only
D) The type of data and the problem to be solved

4. What is the primary purpose of partitioning data into training and test sets?

A) To maximize the accuracy of the model by using all data for training
B) To evaluate the model's performance on unseen data
C) To increase the computational efficiency of model training
D) To ensure that the model gets exposed to all possible data scenarios during training

5. Which method is used for merging records in SPSS Modeler Merge node that allows specifying a requirement to be satisfied in order for the merge to take place?

A) Order
B) Key
C) Condition
D) Filter

Solutions: