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
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