What should you do?

You support an application that stores product information in cached memory. For every cache miss, an entry is logged in Stackdriver Logging. You want to visualize how often a cache miss happens over time .

What should you do?
A . Link Stackdriver Logging as a source in Google Data Studio. Filler (he logs on the cache misses.
B . Configure Stackdriver Profiler to identify and visualize when the cache misses occur based on the logs.
C . Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.
D . Configure BigOuery as a sink for Stackdriver Logging. Create a scheduled query to filter the cache miss logs and write them to a separate table

Answer: C

Explanation:

https://cloud.google.com/logging/docs/logs-based-metrics#counter-metric