SPLK-1002 Exam Dumps Questions

Consider the following search:
Index=web sourcetype=access_combined
The log shows several events that share the same JSESSIONID value (SD404K289O2F151). View the events as a group. From the following list, which search groups events by JSESSIONID?

A. index=web sourcetype=access_combined SD404K289O2F151 I table JSESSIONID

B. index=web sourcetype=access_combined JSESSIONID

C. index=web sourcetype=access_combined I highlight JSESSIONID I search SD404K289O2F151

D. index-web sourcetype=access_combined I transaction JSESSIONID I search SD404K289O2F151

B. index=web sourcetype=access_combined JSESSIONID

Which of these stats commands will show the total bytes for each unique combination of page and server?

A. index=web | stats sum (bytes) BY page BY server

B. index=web | stats sum (bytes) BY page server

C. index=web | stats sum(bytes) BY page AND server

D. index=web | stats sum(bytes) BY values (page) values (server)

B. index=web | stats sum (bytes) BY page server

Explanation:
The correct command to show the total bytes for each unique combination of page and server is index=web | stats sum (bytes) BY page server. In Splunk, the stats command is used to calculate aggregate statistics over the dataset, such as count, sum, avg, etc. When using the BY clause, it groups the results by the specified fields. The correct syntax does not include commas or the word ‘AND’ between the field names. Instead, it simply lists the field names separated by spaces within the BY clause.
References: The usage of the stats command with the BY clause is confirmed by examples in the SplunkCommunity, where it’s explained that stats with a by foo bar will output one row for every unique combination of the by fields1.

It is mandatory for the lookup file to have this for an automatic lookup to work.

A. Source type

B. At least five columns

C. Timestamp

D. Input filed

Which of the following are required to create a POST workflow action?

A. Label, URI, search string.

B. XMI attributes, URI, name.

C. Label, URI, post arguments.

D. URI, search string, time range picker.

C. Label, URI, post arguments.

Explanation: POST workflow actions are custom actions that send a POST request to a web server when you click on a field value in your search results. POST workflow actions can be configured with various options, such as label name, base URL, URI parameters, post arguments, app context, etc. One of the options that are required to create a POST workflow action is post arguments. Post arguments are key-value pairs that are sent in the body of the POST request to provide additional information to the web server. Post arguments can include field values from your data by using dollar signs around the field names.

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.

Which of the following searches can be used to define an event type?

A. index=games sourcetype=score [search index=players | fields player_id]

B. index=games sourcetype=score I where score>9999

C. index=games sourcetype=score player=* score>9999

D. index=games sourcetype=score I stats count by player

C. index=games sourcetype=score player=* score>9999

Explanation: An event type in Splunk is defined by a search string that returns a specific set of events. The search string index=games sourcetype=score player=* score>9999 is valid because it filters events based on specific criteria directly within the main search command. This search will find all events in the games index with a sourcetype of score, where the player field exists, and the score is greater than 9999. This specificity and direct filtering make it suitable for defining an event type.