An administrator notices that the CPU metric on a production server shows a sawtooth pattern, alternating between 90% and 20% every 10 minutes. Memory and disk metrics are stable. What is the most likely interpretation of this pattern?

The server is experiencing random CPU spikes from user traffic

The CPU metric is inaccurate and needs recalibration

A scheduled batch job is running periodically and consuming CPU

The server is overheating and throttling the CPU

Which combination of server performance metrics is most commonly used to assess overall server health in AppDynamics?

Response time, error rate, and throughput

Requests per minute, active sessions, and database connections

Thread count, heap size, and garbage collection

When viewing a server performance metric chart in AppDynamics, what does a rising trend in CPU utilization over time typically indicate?

The server is under increasing load

The server is becoming more efficient

The server has a hardware failure

A company has a Server dashboard that shows metrics for all servers. The administrator wants to create a view that shows only servers with a critical health state for any metric. The dashboard currently shows all servers with their metrics. Which approach should the administrator use to create this view?

Manually review each server's metrics and note the critical ones

Apply a health state filter to show only servers in a critical state

Create a new dashboard and add only the servers that are critical

Change the time range to show only the last hour of data

CiscoAppDynamics Associate Administrator

Domain 2Objective 6

2.6 Evaluate Server Performance Metrics APPDYNAMICS-ASSOCIATE-ADMINISTRATOR Practice Questions (Page 1)

Part of the Dashboards domain, which accounts for 15% of the APPDYNAMICS-ASSOCIATE-ADMINISTRATOR exam. Cisco does not publish an official question count, but from its 90-minute exam (~35–60 total, ~5–9 in this domain), expect 1–2 from this objective — we provide 24 practice questions to prepare you well beyond it. (estimate)

24questions here

5free pages

4concepts

15%of the exam

Questions 1–5

1application · medium
An administrator notices that the CPU metric on a production server shows a sawtooth pattern, alternating between 90% and 20% every 10 minutes. Memory and disk metrics are stable. What is the most likely interpretation of this pattern?
Select an answer first
2foundation · easy
Which combination of server performance metrics is most commonly used to assess overall server health in AppDynamics?
Select an answer first
3foundation · easy
When viewing a server performance metric chart in AppDynamics, what does a rising trend in CPU utilization over time typically indicate?
Select an answer first
4expert · easy
A company has a Server dashboard that shows metrics for all servers. The administrator wants to create a view that shows only servers with a critical health state for any metric. The dashboard currently shows all servers with their metrics. Which approach should the administrator use to create this view?
Select an answer first
5expert · medium
An administrator is evaluating a server that runs a message queue service. The Server dashboard shows CPU at 30%, Memory at 50%, Disk I/O at 10%, and Network at 80%. The service is experiencing delays in message processing. Which metric is most likely the bottleneck?
Select an answer first

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2.6 Evaluate Server Performance Metrics APPDYNAMICS-ASSOCIATE-ADMINISTRATOR Practice Questions (Page 1)

Questions 1–5

An administrator notices that the CPU metric on a production server shows a sawtooth pattern, alternating between 90% and 20% every 10 minutes. Memory and disk metrics are stable. What is the most likely interpretation of this pattern?

Which combination of server performance metrics is most commonly used to assess overall server health in AppDynamics?

When viewing a server performance metric chart in AppDynamics, what does a rising trend in CPU utilization over time typically indicate?

An administrator is evaluating a server that runs a message queue service. The Server dashboard shows CPU at 30%, Memory at 50%, Disk I/O at 10%, and Network at 80%. The service is experiencing delays in message processing. Which metric is most likely the bottleneck?

Keep studying — Dashboards