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Exam AD0-E103 topic 1 question 90 discussion

Actual exam question from Adobe's AD0-E103
Question #: 90
Topic #: 1
[All AD0-E103 Questions]

An AEM site experiences slower page loads. A developer needs to identify the slow running requests.
How should a developer analyze the requests with long response times?

  • A. Use rlog.jar with the following command $ java -jar ../opt/helpers/rlogs.jar -n 10 requests.log to identify long running requests.
  • B. Use proxy.jar with the following command java -jar proxy.jar <host> <remoteport> <localport> to debug the webserver and AEM server communication.
  • C. Download Heapdumps from Tools > Operations > Diagnosis and analyze the Heapdumps using the Memory Analyzer Tool.
  • D. Embed /libs/foundation/components/timing component in the Page Component and verify the page load time.
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️

Comments

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mrjava
9 months, 2 weeks ago
I think the answer is D. The rlog.jar help to find out longest request but the Component Timing will help us to "analyze" the request itself to know which part consumes most of the time.
upvoted 1 times
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chunpin
3 years, 3 months ago
Answer: A Reference: Common critical AEM issues, https://docs.adobe.com/content/help/en/experience-manager-65/deploying/configuring/monitoring-and-maintaining.html
upvoted 4 times
chunpin
3 years, 3 months ago
Using rlog.jar to find requests with long duration times AEM includes various helper tools located in: <cq-installation-dir>/crx-quickstart/opt/helpers One of these, rlog.jar, can be used to quickly sort request.log so that requests are displayed by duration, from longest to shortest time. https://docs.adobe.com/content/help/en/experience-manager-65/deploying/configuring/monitoring-and-maintaining.html
upvoted 3 times
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pgawade
3 years, 8 months ago
answer A
upvoted 1 times
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mat2020
3 years, 8 months ago
answer A
upvoted 1 times
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AkashD
3 years, 10 months ago
Answers should be A Request.log. https://vceguide.com/how-should-a-developer-analyze-the-requests-with-long-response-times/
upvoted 3 times
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