Question # 1
| The time range specified for a historical search defines the ____________ .------
questionable on ans | | A. Amount of data shown on the timeline as data streams in | | B. Amount of data fetched from index matching that time range | | C. Time range for the static results |
B. Amount of data fetched from index matching that time range
Explanation: The time range specified for a historical search defines the amount of data
fetched from the index matching that time range2. A historical search is a search that runs
over a fixed period of time in the past2. When you run a historical search, Splunk searches
the index for events that match your search string and fall within the specified time range2.
Therefore, option B is correct, while options A and C are incorrect because they are not
what the time range defines for a historical search.
Question # 2
| After manually editing; a regular expression (regex), which of the following statements is
true? | | A. Changes made manually can be reverted in the Field Extractor (FX) UI.
| | B. It is no longer possible to edit the field extraction in the Field Extractor (FX) UI.
| | C. It is not possible to manually edit a regular expression (regex) that was created using
the Field Extractor (FX) UI.
| | D. The Field Extractor (FX) UI keeps its own version of the field extraction in addition to the
one that was manually edited. |
B. It is no longer possible to edit the field extraction in the Field Extractor (FX) UI.
Explanation: After manually editing a regular expression (regex) that was created using
the Field Extractor (FX) UI, it is no longer possible to edit the field extraction in the FX UI.
The FX UI is a tool that helps you extract fields from your data using delimiters or regular
expressions. The FX UI can generate a regex for you based on your selection of sample
values or you can enter your own regex in the FX UI. However, if you edit the regex
manually in the props.conf file, the FX UI will not be able to recognize the changes and will
not let you edit the field extraction in the FX UI anymore. You will have to use the
props.conf file to make any further changes to the field extraction. Changes made manually
cannot be reverted in the FX UI, as the FX UI does not keep track of the changes made in
the props.conf file. It is possible to manually edit a regex that was created using the FX UI,
as long as you do it in the props.conf file.
Question # 3
| Which search string would only return results for an event type called success
ful_purchases? | | A. tag=success ful_purchases
| | B. Event Type:: successful purchases
| | C. successful_purchases
| | D. event type—success ful_purchases |
C. successful_purchases
Explanation: This is because event types are added to events as a field named eventtype,
and you can use this field as a search term to find events that match a specific event type.
For example, eventtype=successful_purchases returns all events that have been
categorized as successful purchases by the event type definition. The other options are
incorrect because they either use a different field name (tag), a different syntax (Event
Type:: or event type—), or have a typo (success ful_purchases). You can learn more about
how to use event types in searches from the Splunk documentation1.
Question # 4
| When performing a regular expression (regex) field extraction using the Field Extractor
(FX), what happens when the require option is used? | | A. The regex can no longer be edited.
| | B. The field being extracted will be required for all future events.
| | C. The events without the required field will not display in searches.
| | D. Only events with the required string will be included in the extraction. |
D. Only events with the required string will be included in the extraction.
Explanation: The Field Extractor (FX) allows you to use regular expressions (regex) to
extract fields from your events using a graphical interface or by manually editing the
regex2. When you use the FX to perform a regex field extraction, you can use the require
option to specify a string that must be present in an event for it to be included in the
extraction2. This way, you can filter out events that do not contain the required string and
focus on the events that are relevant for your extraction2. Therefore, option D is correct,
while options A, B and C are incorrect.
Question # 5
| Which type of visualization shows relationships between discrete values in three
dimensions? | | A. Pie chart
| | B. Line chart
| | C. Bubble chart
| | D. Scatter chart |
C. Bubble chart
Question # 6
| Using the Field Extractor (FX) tool, a value is highlighted to extract and give a name to a
new field. Splunk has not successfully extracted that value from all appropriate events.
What steps can be taken so Splunk successfully extracts the value from all appropriate
events? (select all that apply) | | A. Select an additional sample event with the Field Extractor (FX) and highlight the missing
value in the event. | | B. Re-ingest the data and attempt to extract from a new dataset. | | C. Click on the event where the field was not extracted and choose “Change to Delimited". | | D. Edit the regular expression manually. |
A. Select an additional sample event with the Field Extractor (FX) and highlight the missing
value in the event.
D. Edit the regular expression manually.
Explanation:
When using the Field Extractor (FX) tool in Splunk and the tool fails to extract a value from
all appropriate events, there are specific steps you can take to improve the extraction
process. These steps involve interacting with the FX tool and possibly adjusting the
extraction method:
A. Select an additional sample event with the Field Extractor (FX) and highlight the
missing value in the event. This approach allows Splunk to understand the pattern better
by providing more examples. By highlighting the value in another event where it wasn't
extracted, you help the FX tool to learn the variability in the data format or structure,
improving the accuracy of the field extraction.
D. Edit the regular expression manually. Sometimes the FX tool might not generate the
most accurate regular expression for the field extraction, especially when dealing with
complex log formats or subtle nuances in the data. In such cases, manually editing the
regular expression can significantly improve the extraction process. This involves
understanding regular expression syntax and how Splunk extracts fields, allowing for a
more tailored approach to field extraction that accounts for variations in the data that the
automatic process might miss.
Options B and C are not typically related to improving field extraction within the Field
Extractor tool. Re-ingesting data (B) does not directly impact the extraction process, and
changing to a delimited extraction method (C) is not always applicable, as it depends on
the specific data format and might not resolve the issue of missing values across events.
Question # 7
| Which of the following statements describe calculated fields? (select all that apply) | | A. Calculated fields can be used in the search bar.
| | B. Calculated fields can be based on an extracted field.
| | C. Calculated fields can only be applied to host and sourcetype.
| | D. Calculated fields are shortcuts for performing calculations using the eval command. |
A. Calculated fields can be used in the search bar.
B. Calculated fields can be based on an extracted field.
D. Calculated fields are shortcuts for performing calculations using the eval command.
Calculated fields are fields that are created by performing calculations on existing fields
using the eval command. Calculated fields can be used in the search bar to filter and
transform events based on the calculated values. Calculated fields can also be based on
an extracted field, which is a field that is extracted from raw data using various methods,
such as regex, delimiters, lookups, etc. Calculated fields are not shortcuts for performing
calculations using the eval command, but rather results of performing calculations using the
eval command. Calculated fields can be applied to any field in Splunk, not only host and
sourcetype. Therefore, statements A, B, and D are true about calculated fields.
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