AWS Certified AI Practitioner AIF-C01 Practice Question

Time-series data consist of observations collected at regular or known points in time, where the order carries meaningful information that models must preserve. A record of a stock's daily closing price provides one value per trading day, indexed by date, so the sequence and interval between points are intrinsic to the dataset. The other options do not consist of numerical observations tied to a consistent timeline: labeled photos are image data, chat transcripts are text documents that may include time stamps but are typically analyzed as NLP data per conversation rather than as one continuous numeric series, and a single relational product table captures a static snapshot without a temporal dimension.