Questions: What does the term "Big Data" refer to? (1) Data collected exclusively by governments. (2) Small datasets used in predictive modeling. (3) Large sets of structured and unstructured data analyzed for patterns and trends. (4) Random data with no specific purpose.

The answer is the third one (3): Large sets of structured and unstructured data analyzed for patterns and trends.

Explanation for each option:

1. Data collected exclusively by governments: This is incorrect. While governments do collect large amounts of data, "Big Data" is not limited to data collected by governments. It encompasses data from various sources, including businesses, social media, sensors, and more.

2. Small datasets used in predictive modeling: This is incorrect. "Big Data" refers to large datasets, not small ones. Predictive modeling can use both small and large datasets, but "Big Data" specifically involves large volumes of data.

3. Large sets of structured and unstructured data analyzed for patterns and trends: This is correct. "Big Data" involves vast amounts of data that can be both structured (like databases) and unstructured (like text and images). The analysis of this data aims to uncover patterns, trends, and insights.

4. Random data with no specific purpose: This is incorrect. "Big Data" is not random; it is collected and analyzed with specific goals in mind, such as improving decision-making, understanding customer behavior, or optimizing operations.

In summary, "Big Data" refers to large sets of structured and unstructured data analyzed for patterns and trends.