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CompTIA Exam CV0-004 Topic 6 Question 15 Discussion

Actual exam question for CompTIA's CV0-004 exam

Question #: 15
Topic #: 6

[All CV0-004 Questions]

Which of the following would allow a cloud engineer to flatten a deeply nested JSON log to improve readability for analysts?

AGrafana

BKibana

CElasticsearch

DLogstash

Show Suggested Answer

Suggested Answer: E

Based on the logs provided, the port that has been compromised is Port 8048. The state 'TIME_WAIT' indicates that this port was recently used to establish a connection that has now ended. This could be indicative of the recent activity where large amounts of data were downloaded to an external source, suggesting a potential security breach. Reference: CompTIA Cloud+ Study Guide (Exam CV0-004) by Todd Montgomery and Stephen Olson

by Afton at Jul 16, 2024, 07:13 PM

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Tegan

28 days ago

Elasticsearch? More like 'Elastic-headache' when it comes to nested JSON. Just use Logstash and save yourself the pain.

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Verlene

30 days ago

Logstash is the way to go. It's like the Swiss Army knife of log processing - there's nothing it can't handle.

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Vanesa

1 months ago

Grafana? Really? I didn't know they had superpowers beyond making pretty dashboards.

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Cecily

12 days ago

A) Grafana

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Markus

1 months ago

Elasticsearch? That's like using a sledgehammer to crack a nut. Kibana would be my go-to for this kind of thing.

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Nana

4 days ago

Kibana is definitely the way to go for flattening nested JSON logs.

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Matilda

2 months ago

Logstash, of course! That's the power tool for flattening nested JSON like a hot knife through butter.

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Salena

21 days ago

Yeah, Logstash makes it so easy to flatten those deeply nested logs.

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Vesta

28 days ago

Logstash is definitely the way to go for flattening nested JSON.

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Skye

2 months ago

I'm not sure, but I think Kibana could also be used for visualizing the flattened JSON data.

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Myra

2 months ago

I agree with Leah. Logstash is used for processing logs and can flatten nested JSON.

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Leah

2 months ago

I think the answer is D) Logstash.

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