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NEW QUESTION: 1
What types of tasks does a server perform in a client/server architecture?
A. local, low data demand tasks
B. local, high data demand tasks
C. centralized, high data demand tasks
D. centralized, low data demand tasks
Answer: C

NEW QUESTION: 2
Which of the following are some useful attributes you should seek to collect from endpoints? (Select all that apply.)
A. Processes running on the machine
B. IP address of the endpoint or DNS hostname
C. NetFlow data
D. Application logs
Answer: A,B,D

NEW QUESTION: 3
You need to resolve the log capacity issue.
What should you do?
A. Change the minimum log level in the host.json file for the function
B. Create an Application Insights Telemetry Filter
C. Implement Application Insights Sampling
D. Set a LogCategoryFilter during startup
Answer: C
Explanation:
Scenario, the log capacity issue: Developers report that the number of log message in the trace output for the processor is too high, resulting in lost log messages.
Sampling is a feature in Azure Application Insights. It is the recommended way to reduce telemetry traffic and storage, while preserving a statistically correct analysis of application data. The filter selects items that are related, so that you can navigate between items when you are doing diagnostic investigations. When metric counts are presented to you in the portal, they are renormalized to take account of the sampling, to minimize any effect on the statistics.
Sampling reduces traffic and data costs, and helps you avoid throttling.
Reference:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/sampling