Splunk Splunk Certifications SPLK-1002 Questions & Answers

• Question 251:

  What fields does the transaction command add to the raw events? (select all that apply)

  A. count

  B. duration

  C. eventcount

  D. transaction id

  Correct Answer: BD

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  The correct answers are B. duration and D. transaction id.

  The explanation is as follows:

  The transaction command is a Splunk command that finds transactions based on events that meet various constraints12.

  Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member12.

  The transaction command adds some fields to the raw events that are part of the transaction123. These fields are:

  Therefore, the fields that the transaction command adds to the raw events are duration and transaction_id, which are options B and D in your question.

• Question 252:

  Which knowledge object is used to normalize field names to comply with the Splunk Common Information Model (CIM)?

  A. Field alias

  B. Event types

  C. Search workflow action

  D. Tags

  Correct Answer: A

  The correct answer is A. Field alias123.

  In Splunk, a field alias is a knowledge object that you can use to assign an alternate name to a field3. This can be particularly useful when you want to normalize your data to comply with the Splunk Common Information Model (CIM)12. The

  CIM provides a methodology for normalizing values to a common field name1. It acts as a search-time schema to define relationships in the event data while leaving the raw machine data intact2. By using field aliases, you can map vendor

  fields to common fields that are the same for each data source in a given domain4. This allows you to correlate events from different source types by normalizing these different occurrences to a common structure and naming convention1.

• Question 253:

  Which of the following searches will show the number of categoryld used by each host?

  A. Sourcetype=access_* |sum bytes by host

  B. Sourcetype=access_* |stats sum(categorylD. by host

  C. Sourcetype=access_* |sum(bytes) by host

  D. Sourcetype=access_* |stats sum by host

  Correct Answer: B

• Question 254:

  The gauge command:

  A. creates a single-value visualization

  B. allows you to set colored ranges for a single-value visualization

  C. creates a radial gauge visualization

  Correct Answer: B

• Question 255:

  Which of the following statements are true for this search? (Select all that apply.) SEARCH: sourcetype=access* |fields action productld status

  A. is looking for all events that include the search terms: fields AND action AND productld AND status

  B. users the table command to improve performance

  C. limits the fields are extracted

  D. returns a table with 3 columns

  Correct Answer: C

• Question 256:

  What is the correct syntax to find events associated with a tag?

  A. tag:=

  B. tags=

  C. tags:=

  D. tag=

  Correct Answer: D

  The correct syntax to find events associated with a tag in Splunk is tag=1. So, the correct answer is D. tag=. This syntax allows you to annotate specified fields in your search results with tags1. In Splunk, tags are a type of knowledge object that you can use to add meaningful aliases to field values in your data1. For example, if you have a field called status_code in your data, you might have different status codes like 200, 404, 500, etc. You can create tags for these status codes like success for 200, not_found for 404, and server_error for 500. Then, you can use the tag command in your searches to find events associated with these tags1. Here is an example of how you can use the tag command in a search: index=main sourcetype=access_combined | tag status_code In this search, the tag command annotates the status_code field in the search results with the corresponding tags. If you have tagged the status code 200 with success, the status code 404 with not_found, and the status code 500 with server_error, the search results will include these tags1. You can also use the tag command with a specific tag value to find events associated with that tag. For example, the following search finds all events where the status code is tagged with success: index=main sourcetype=access_combined | tag status_code | search tag::status_code=success In this search, the tag command annotates the status_code field with the corresponding tags, and the search command filters the results to include only events where the status_code field is tagged with success1.

• Question 257:

  Which field will be used to populate the field if the productName and product:d fields have values for a given event? | eval productINFO=coalesco(productName,productid)

  A. Both field values will be used and the product INFO field will become a multivalue field for the given event.

  B. The value for the productName field because it appears first.

  C. Neither field value will be used and the field will be assigned a NULL value for the given event.

  D. The value for the field because it appears second.

  Correct Answer: B

  The correct answer is B. The value for the productName field because it appears first.

  The coalesce function is an eval function that takes an arbitrary number of arguments and returns the first value that is not null. A null value means that the field has no value at all, while an empty value means that the field has a value, but it

  is "" or zero-length1. The coalesce function can be used to combine fields that have different names but represent the same data, such as IP address or user name. The coalesce function can also be used to rename fields for clarity or

  convenience2.

  The syntax for the coalesce function is:

  coalesce(,,...)

  The coalesce function will return the value of the first field that is not null in the argument list. If all fields are null, the coalesce function will return null. For example, if you have a set of events where the IP address is extracted to either clientip

  or ipaddress, you can use the coalesce function to define a new field called ip, that takes the value of either clientip or ipaddress, depending on which is not null:

  | eval ip=coalesce(clientip,ipaddress)

  In your example, you have a set of events where the product name is extracted to either productName or productid, and you use the coalesce function to define a new field called productINFO, that takes the value of either productName or

  productid, depending on which is not null:

  | eval productINFO=coalesce(productName,productid) If both productName and productid fields have values for a given event, the coalesce function will return the value of the productName field because it appears first in the argument list.

  The productid field will be ignored by the coalesce function. Therefore, the value for the productName field will be used to populate the productINFO field if both fields have values for a given event.

  References:

  Search Command> Coalesce

  USAGE OF SPLUNK EVAL FUNCTION : COALESCE