4.1 Analyze Business Transaction Metrics APPDYNAMICS-ASSOCIATE-ADMINISTRATOR Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A team is configuring an alert for a business transaction that has a highly variable response time, ranging from 100 ms to 1 second depending on the time of day. They want to detect unusual behavior without being flooded with alerts during normal peak hours. Which alerting approach is most appropriate?

   • AUse a static threshold alert set to 1.5 seconds, which is above the normal maximum.
   • BDisable alerts for this transaction because the variability makes alerting unreliable.
   • CUse a dynamic baseline alert that triggers when the response time deviates significantly from the expected range.
   • DUse a static threshold alert set to 500 ms, which is the average response time.
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2. 2foundation · easy

   When configuring an alert on Business Transaction response time, what is the most appropriate basis for setting the threshold?

   • AThe metric baseline
   • BThe minimum value ever recorded
   • CThe maximum value ever recorded
   • DA fixed value that never changes
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4. 3application · medium

   An administrator is looking at a business transaction's metrics and sees that the average response time is 200 ms, but the 99th percentile is 2 seconds. What does this indicate about the transaction's performance?

   • AA small percentage of requests are extremely slow, which may indicate a performance problem for those users.
   • BThe transaction is failing 1% of the time.
   • CThe transaction is experiencing a network issue.
   • DThe transaction is performing well because the average is low.
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5. 4application · medium

   A business transaction's response time has been stable for months, but suddenly shows a sharp increase that lasts for 15 minutes and then returns to normal. The team wants to find the root cause. Which data would be most useful?

   • ACorrelate the spike with other metrics like CPU usage, database calls, and external calls during that 15-minute window.
   • BCheck the calls per minute for the last hour to see if volume increased.
   • CLook at the error rate for the entire day to see if errors increased.
   • DReview the application logs for the last hour to look for exceptions.
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6. 5expert · medium

   A business transaction's response time has been increasing gradually over the past two weeks. The team has checked the application logs and found no errors. They suspect a slow database query. Which metric would best confirm this hypothesis?

   • AThe error rate for the transaction over the same period.
   • BThe CPU usage of the application server over the same period.
   • CThe average database call time for the transaction over the same period.
   • DThe calls per minute for the transaction over the same period.
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