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IBM Watson Data Scientist v1 Sample Questions:

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

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

2. Which two graph types are used in EDA to show the relationship between two or more quantitative variables?

A) Stem-and-leaf plot
B) Scatter plot
C) Histogram
D) Heat map
E) Box plot

3. A virtual assistant has been developed and deployed based on the Watson Assistant service. The assistant will support customers by answering FAQs (Frequent Answered Questions).
Which metric is a good indicator of the performance of the virtual assistant?

A) The F1 score of predicted intents in the Analytics tab
B) Measure escalated calls using A/B testing
C) The Root Mean Squared Error (RMSE) of words
D) The Area Under the Curve (AUC)

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

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

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

Solutions: