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SPLK-1002 Practice Test


Page 11 out of 55 Pages

Topic 2: Questions Set 2

Which function should you use with the transaction command to set the maximum total time between the earliest and latest events returned?


A. maxpause


B. endswith


C. maxduration


D. maxspan





D.
  maxspan

Explanation: The maxspan function of the transaction command allows you to set the maximum total time between the earliest and latest events returned. The maxspan function is an argument that can be used with the transaction command to specify the start and end constraints for the transactions. The maxspan function takes a time modifier as its value, such as 30s, 5m, 1h, etc. The maxspan function sets the maximum time span between the first and last events in a transaction. If the time span between the first and last events exceeds the maxspan value, the transaction will be split into multiple transactions.

Which of the following describes this search?
New Search
'third_party_outages(EMEA,-24h)'


A. This search will find all events for the third_party_outages event type that have "EMEA" or "-24h" in the raw event data.


B. This search will run the third_party_outages saved search and filter for events containing "EMEA" and "-24h" in the raw event data.


C. This search will run the third_party_outages macro and pass the arguments EMEA and - 24h to the macro definition.


D. This search will find all events in the third_party_outages index with the tags EMEA and -24h.





C.
  This search will run the third_party_outages macro and pass the arguments EMEA and - 24h to the macro definition.

Explanation: This search will run the third_party_outages macro and pass the arguments EMEA and - 24h to the macro definition. A search macro is a reusable chunk of SPL that can be inserted into other searches. A search macro can take arguments that are used to resolve the search string at execution time. The syntax for using a search macro is macro_name (argument1, argument2, ...).

How is a Search Workflow Action configured to run at the same time range as the original search?


A. Set the earliest time to match the original search.


B. Select the same time range from the time-range picker.


C. Select the "Use the same time range as the search that created the field listing" checkbox.


D. Select the "Overwrite time range with the original search" checkbox.





C.
  Select the "Use the same time range as the search that created the field listing" checkbox.

Explanation: To configure a Search Workflow Action to run at the same time range as the original search, you need to select the “Use the same time range as the search that created the field listing” checkbox. This will ensure that the workflow action search uses the same earliest and latest time parameters as the original search.

For the following search, which command would further filter for only IP addresses present more than five times?


A. index=games I stats count as IP_count by IP B. | where IP_count > 5


B. index=games | search IP_Count > 5


C. index=games | where IP > 5


D. index=games I search IP > 5





A.
  index=games I stats count as IP_count by IP B. | where IP_count > 5

Explanation:
To filter for only IP addresses that appear more than five times in the search results for index=games, you can use a combination of the stats and where commands. The stats command counts the occurrences of each IP address and assigns the count to IP_count. The where command then filters the results to include only those IP addresses with a count greater than five.
Here is how the complete search would look:
index=games | stats count as IP_count by IP | where IP_count > 5

When would a user select delimited field extractions using the Field Extractor (FX)?


A. When a log file has values that are separated by the same character, for example, commas.


B. When a log file contains empty lines or comments.


C. With structured files such as JSON or XML.


D. When the file has a header that might provide information about its structure or format.





A.
  When a log file has values that are separated by the same character, for example, commas.

Explanation:
The correct answer is A. When a log file has values that are separated by the same character, for example, commas.
The Field Extractor (FX) is a utility in Splunk Web that allows you to create new fields from your events by using either regular expressions or delimiters. The FX provides a graphical interface that guides you through the steps of defining and testing your field extractions1. The FX supports two field extraction methods: regular expression and delimited. The regular expression method works best with unstructured event data, such as logs or messages, that do not have a consistent format or structure. You select a sample event and highlight one or more fields to extract from that event, and the FX generates a regular expression that matches similar events in your data set and extracts the fields from them1. The delimited method is designed for structured event data: data from files with headers, where all of the fields in the events are separated by a common delimiter, such as a comma, a tab, or a space. You select a sample event, identify the delimiter, and then rename the fields that the FX finds1.
Therefore, you would select the delimited field extraction method when you have a log file that has values that are separated by the same character, for example, commas. This method will allow you to easily extract the fields based on the delimiter without writing complex regular expressions.
The other options are not correct because they are not suitable for the delimited field extraction method. These options are:
B. When a log file contains empty lines or comments: This option does not indicate that the log file has a structured format or a common delimiter. The delimited method might not work well with this type of data, as it might miss some fields or include some unwanted values.
C. With structured files such as JSON or XML: This option does not require the delimited method, as Splunk can automatically extract fields from JSON or XML files by using indexed extractions or search-time extractions2. The delimited method might not work well with this type of data, as it might not recognize the nested structure or the special characters.
D. When the file has a header that might provide information about its structure or format: This option does not indicate that the file has a common delimiter between the fields. The delimited method might not work well with this type of data, as it might not be able to identify the fields based on the header information.


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