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NEW QUESTION: 1
Which three statements accurately describe the /etc/nsswiten.conf file? (Choose three.)
A. The /etc/nssw itch, conf file must be created manually as part of the installation process.
B. The /etc/nsswitch.conf file can specify a number of data sources, such as NIS, NIS+, LDAP, DNS, or local files.
C. The /etc/nsswitch.conf file is only necessary if multiple data sources are being used to track IP addresses, users, and groups.
D. The /etc/nsswitch.conf file includes a list of databases that are sources of information about IP addresses, users, and groups.
E. The lookup order for each item is specified in the /etc/nsswiten. conf file.
F. Each data item in the /etc/nsswiten.conf file must have at least one data source, but cannot have more than three data sources.
Answer: B,D,E

NEW QUESTION: 2
Which communication mechanism does NETCONF use?
A. RPC over SSH
B. YAML over SSH
C. SOAP over HTTPS
D. YAML over HTTPS
Answer: A
Explanation:
Explanation/Reference:
Explanation:
NETCONF uses a simple RPC-based mechanism to facilitate communication between a client and a server. The client can be a script or application typically running as part of a network manager. The server is typically a network device. The terms "device" and "server" are used interchangeably in this document, as are "client" and "application".
Reference:
https://tools.ietf.org/html/rfc6241

NEW QUESTION: 3
You need to resolve the log capacity issue.
What should you do?
A. Implement Application Insights Sampling
B. Change the minimum log level in the host.json file for the function
C. Create an Application Insights Telemetry Filter
D. Set a LogCategoryFilter during startup
Answer: A
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