Which values are retained in the baseline for automated baselining of response times?

Which values are retained in the baseline for automated baselining of response times?

• A. Average and maximum
• B. Median and mode
• C. Median and 90th percentile
• D. Minimum and maximum

Answer: (C)

The correct answer is based on how Dynatrace calculates its automated baselines for performance metrics such as response times. In automated baselining, the median and the 90th percentile values are retained because they provide a more robust understanding of performance under varying conditions. The median is particularly useful because it signifies the middle value of response times, effectively eliminating the influence of outliers. This is important in understanding the typical performance experienced by users. On the other hand, the 90th percentile indicates the response time that 90% of requests fall under, which helps in identifying potential performance issues that affect a significant portion of users, even if they are not the most frequent scenarios. This combination of median and the 90th percentile allows organizations to establish a balanced view of normal performance while also monitoring for spikes that may lead to user dissatisfaction. Other metrics like average or maximum could be skewed by outlier response times and therefore may not accurately represent everyday user experiences.

The correct answer is based on how Dynatrace calculates its automated baselines for performance metrics such as response times. In automated baselining, the median and the 90th percentile values are retained because they provide a more robust understanding of performance under varying conditions.

The median is particularly useful because it signifies the middle value of response times, effectively eliminating the influence of outliers. This is important in understanding the typical performance experienced by users. On the other hand, the 90th percentile indicates the response time that 90% of requests fall under, which helps in identifying potential performance issues that affect a significant portion of users, even if they are not the most frequent scenarios.

This combination of median and the 90th percentile allows organizations to establish a balanced view of normal performance while also monitoring for spikes that may lead to user dissatisfaction. Other metrics like average or maximum could be skewed by outlier response times and therefore may not accurately represent everyday user experiences.