Splunk Fundamentals 1 Practice Exam

What is time-series data?

1. Data that is collected continuously

2. Any data with time stamps

3. Data categorized by geographical location

4. Data that is static over time

The correct answer is: Any data with time stamps

Time-series data is characterized by its organization around time stamps, which signifies that each data point is associated with a specific moment in time. This allows for the analysis of temporal patterns, trends, and changes over intervals. In many cases, time-series data is used to track how a variable evolves, such as temperature readings, stock market prices, or website traffic over time. The emphasis on timestamps is crucial because it enables users to visualize and analyze data with respect to time, making it possible to identify trends, seasonal effects, and even anomalies related to specific time periods. In contrast, other types of data may not involve or leverage the element of time, hence not qualifying as time-series data.