A customer operates a caching web proxy. They want to calculate the cache hit rate for their service. What is the best way to achieve this?

The correct answer is A. Percentages and ratios. According to the Splunk O11y Cloud Certified Metrics User Track document, percentages and ratios are useful for calculating the proportion of one metric to another, such as cache hits to cache misses, or successful requests to failed requests. You can use the percentage() or…

Metrics Charts and Dashboards

Question

Options

APercentages and ratios
BTimeshift and Bottom N
CTimeshift and Top N
DChart Options and metadata

How the community answered

(27 responses)

A
89% (24)
B
7% (2)
D
4% (1)

Explanation

According to the Splunk O11y Cloud Certified Metrics User Track document, percentages and ratios are useful for calculating the proportion of one metric to another, such as cache hits to cache misses, or successful requests to failed requests. You can use the percentage() or ratio() functions in SignalFlow to compute these values and display them in charts. For example, to calculate the cache hit rate for a service, you can use the following SignalFlow code: percentage(counters("cache.hits"), counters("cache.misses")) This will return the percentage of cache hits out of the total number of cache attempts. You can also use the ratio() function to get the same result, but as a decimal value instead of a percentage. ratio(counters("cache.hits"), counters("cache.misses"))

Topics

#cache hit rate#percentages and ratios#chart analytics#metric calculations

Community Discussion

No community discussion yet for this question.

Full SPLK-4001 Practice