Nauka

Splunk

Wyświetlane są wszystkie pytania.
Pytanie 41
When viewing the results of a search, what is an Interesting Field?
A field that appears in any event.
A field that appears in at least 20% of the events.
A field that appears in the top 10 events.
A field that appears in every event.
Pytanie 42
When a Splunk search generates calculated data that appears in the Statistics tab, in what formats can the results be exported?
CSV, XML, JSON
Raw Events, XML, JSON
CSV, JSON, PDF
Raw Events, CSV, XML, JSON
Pytanie 43
Which search matches the events containing the terms “error” and “fail”?
index=security error OR fail
index=security NOT error NOT fail
index=security Error Fail
index=security “error failure”
Pytanie 44
Which of the following fields is stored with the events in the index?
sourceIp
location
source
user
Pytanie 45
Which of the following is the recommended way to create multiple dashboards displaying data from the same search?
Save the search as a dashboard panel for each dashboard that needs the data.
Export the results of the search to an XML file and use the file as the basis of the dashboards.
Save the search as a report and use it in multiple dashboards as needed.
Save the search as a scheduled alert and use it in multiple dashboards as needed.
Pytanie 46
What does the following specified time range do? earliest=-72h@h latest=@d
Look back 72 hours, up to the end of today
Look back 3 days ago and prior.
Look back 72 hours, up to one day ago.
Look back from 3 days ago, up to the beginning of today
Pytanie 47
Which events will be returned by the following search string? host=www3 status=503
All events that either have a host of www3 or a status of 503.
We need more information; a search cannot be run without specifying an index.
All events with a host of www3 that also have a status of 503.
We need more information; we cannot tell without knowing the time range.
Pytanie 48
What does the stats command do?
Calculates statistics on data that matches the search criteria.
Converts field values into numerical values.
Automatically correlates related fields.
Analyzes numerical fields for their ability to predict another discrete field.
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