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IBM Watson Data Scientist v1 Sample Questions:

1. What is the key difference between batch processing and streaming in data processing?

A) Batch processing involves real-time data processing, whereas streaming does not process data
B) Batch processing processes data in large blocks at a time, whereas streaming processes data in real- time as it arrives
C) Streaming is suitable for large, historical datasets, whereas batch processing is for real-time data analysis
D) Batch processing processes data in large blocks at a time, whereas streaming processes data in real- time as it arrives

2. What is a key advantage of using supervised learning techniques over unsupervised learning techniques?

A) Supervised learning algorithms can automatically label data.
B) Supervised learning can work without any labeled data.
C) Supervised learning is more effective for discovering hidden patterns in data without prior labeling.
D) Supervised learning is typically used for prediction with known outcomes, providing clear metrics for model performance.

3. Given the Confusion matrix below, which is the formula for specificity?

A) (TP + TN)/(FN + FP + TN + TP)
B) TN/(TN + FP)
C) TP/(FN + TP)
D) TP/(FP + TP)

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

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

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

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

Solutions: