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IBM Watson Data Scientist v1 Sample Questions:

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

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

2. Which of the following is a critical first step in understanding a business problem for data science projects?

A) Deploying the model
B) Choosing the visualization tools
C) Selecting the machine learning algorithm
D) Defining the project scope

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

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

4. When implementing cross-validation, which of the following is NOT a common approach?

A) Using the entire dataset as both the training and the test set in each iteration
B) Stratified K-Fold Cross-Validation for imbalanced datasets
C) Leave-One-Out Cross-Validation (LOOCV)
D) K-Fold Cross-Validation

5. In the context of assessing data quality in Watson Knowledge Catalog (WKC) and Cloud Pak for Data (CPD), what is a primary focus?

A) Enhancing the graphical user interface
B) Increasing the volume of data collected
C) Focusing on the data's color scheme
D) Analyzing completeness, consistency, and accuracy of data

Solutions: