Google Cloud Professional Machine Learning Engineer Practice Test

The aggregation values in any feature typically include key summary statistics that provide insights into the distribution of the data. Specifically, the minimum, median, and maximum values are essential in understanding the spread and central tendency of the data in a feature.

The minimum value indicates the smallest observation, while the maximum reflects the largest. The median is a crucial statistic that offers a measure of central tendency, providing insight into the middle point of the dataset when it is sorted, thus illustrating how the data is centered. Together, these aggregation values allow one to comprehend the range of values present in the feature and identify any potential outliers.

While averages and standard deviations are also important statistics, they are not the only aggregation values that typically represent a feature in terms of its distribution. Other options encompass different sets of statistics but do not align as closely with the common practice of summarizing a feature with min, median, and max values.