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Answer: Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
Google's Professional Cloud DevOps Engineer documentation advises calculating Service Level Indicators (SLIs) by dividing the number of requests that meet the acceptable page load time (here, under 100 ms) by the total number of relevant requests (in this case, home page requests). This method effectively measures web application performance and highlights improvement opportunities.
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To ensure the home page of a high-traffic web application loads promptly, you've set a Service Level Indicator (SLI) targeting a latency of 100 ms for home page requests. According to Google's best practices, how should this SLI be calculated?
A
Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
B
Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
C
Bucketize the request latencies into ranges, and then compute the percentile at 100 ms.
D
Count the number of home page request that load in under 100 ms, and then divide by the total number of all web application requests.
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