Regenerate Splunk Core Certified Power User Exam SPLK-1002 Free Practice Questions

NEW QUESTION 1

Which of the following objects can a calculated field use as a source?

• A. An alias of a field.
• B. A field added by an automatic lookup.
• C. The tag field.
• D. The eventtype field.

Answer: B

Explanation:
The correct answer is B. A field added by an automatic lookup.
A calculated field is a field that is added to events at search time by using an eval expression. A calculated field can use the values of two or more fields that are already present in the events to perform calculations. A calculated field can use any field as a source, as long as the field is extracted before the calculated field is defined1.
An automatic lookup is a way to enrich events with additional fields from an external source, such as a CSV file or a database. An automatic lookup can add fields to events based on the values of existing fields, such as host, source, sourcetype, or any other extracted field2. An automatic lookup is performed before the calculated fields are defined, so the fields added by the lookup can be used as sources for the calculated fields3.
Therefore, a calculated field can use a field added by an automatic lookup as a source. References:
About calculated fields
About lookups
Search time processing

NEW QUESTION 2

Which of the following actions can the eval command perform?

• A. Remove fields from results.
• B. Create or replace an existing field.
• C. Group transactions by one or more fields.
• D. Save SPL commands to be reused in other searches.

Answer: B

Explanation:
The eval command is used to create new fields or modify existing fields based on an expression2. The eval command can perform various actions such as calculations, conversions, string manipulations and more2. One of the actions that the eval command can perform is to create or replace an existing field with a new value based on an expression2. For example, | eval status=if(status="200","OK","ERROR") will create or replac status field with either OK or ERROR depending on the original value of status2. Therefore, option B is correct, while options A, C and D are incorrect because they are not actions that the eval command can perform.

NEW QUESTION 3

Why are tags useful in Splunk?

• A. Tags look for less specific data.
• B. Tags visualize data with graphs and charts.
• C. Tags group related data together.
• D. Tags add fields to the raw event data.

Answer: C

Explanation:
Tags are a type of knowledge object that enable you to assign descriptive keywords to events based on the values of their fields. Tags can help you to search more efficiently for groups of event data that share common characteristics, such as functionality, location, priority, etc. For example, you can tag all the IP addresses of your routers as router, and then search for tag=router to find all the events related to your routers. Tags can also help you to normalize data from different sources by using the same tag name for equivalent field values. For example, you can tag the field values error, fail, and critical as severity=high, and then search for severity=high to find all the events with high severity level2
1: Splunk Core Certified Power User Track, page 10. 2: Splunk Documentation, About tags and aliases.

NEW QUESTION 4

Which workflow uses field values to perform a secondary search?

• A. POST
• B. Action
• C. Search
• D. Sub-Search

Answer: C

Explanation:
https://docs.splunk.com/Documentation/Splunk/8.0.2/Knowledge/CreateworkflowactionsinSplunkWeb

NEW QUESTION 5

The stats command will create a _______ by default.

• A. Table
• B. Report
• C. Pie chart

Answer: A

NEW QUESTION 6

The eval command 'if' function requires the following three arguments (in order):

• A. Boolean expression, result if true, result if false
• B. Result if true, result if false, boolean expression
• C. Result if false, result if true, boolean expression
• D. Boolean expression, result if false, result if true

Answer: A

Explanation:
The eval command ‘if’ function requires the following three arguments (in order): boolean expression, result if true, result if false. The eval command is a search command that allows you to create new fields or modify existing fields by performing calculations or transformations on them. The eval command can use various functions to perform different operations on fields. The ‘if’ function is one of the functions that can be used with the eval command to perform conditional evaluations on fields. The ‘if’ function takes three arguments: a boolean expression that evaluates to true or false, a result that will be returned if the boolean expression is true, and a result that will be returned if the boolean expression is false. The ‘if’ function returns one of the two results based on the evaluation of the boolean expression.

NEW QUESTION 7

Consider the the following search run over a time range of last 7 days: index=web sourcetype=access_conbined | timechart avg(bytes) by product_nane
Which option is used to change the default time span so that results are grouped into 12 hour intervals?

• A. span=12h
• B. timespan=12h
• C. span=12
• D. timespan=12

Answer: A

Explanation:
The span option is used to specify the time span for the timechart command. The span value can be a number followed by a time unit, such as h for hour, d for day, w for week, etc. The span value determines how the data is grouped into time buckets. For example, span=12h means that the data is grouped into 12-hour intervals. The timespan option is not a valid option for the timechart command2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, timechart command.

NEW QUESTION 8

When using the transaction command, how are evicted transactions identified?

• A. Closed_txn field is set to o, or false.
• B. Max_txn field is set to O, or false.
• C. Txn_field is set to 1, or true.
• D. open_txn field is set to 1, or true.

Answer: A

Explanation:
The transaction command is a Splunk command that finds transactions based on events that meet various constraints1.
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 member1.
The transaction command adds some fields to the raw events that are part of the transaction12. These fields are:
duration: The difference, in seconds, between the timestamps for the first and last events in the transaction12.
eventcount: The number of events in the transaction12.
closed_txn: A Boolean field that indicates whether the transaction is closed or evicted2. A transaction is closed if it meets one of the following conditions: maxevents, maxpause, maxsp or startswith2. A transaction is evicted if it does not meet any of these conditions and exceeds th memory limit specified by maxopentxn or maxopenevents23.
Therefore, evicted transactions can be distinguished from non-evicted transactions by checking the value of the closed_txn field. The closed_txn field is set to 0, or false, for evicted transactions and 1 for non-evicted, or closed, transactions23.

NEW QUESTION 9

What does the fillnull command replace null values with, if the value argument is not specified?

• A. N/A
• B. NaN
• C. NULL

Answer: A

Explanation:
The fillnull command replaces null values with 0 by default, if the value argument is not specified. You can use the value argument to specify a different value to replace null values with, such as N/A or NULL.

NEW QUESTION 10

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.

Answer: D

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 focu on the events that are relevant for your extraction2. Therefore, option D is correct, while options A, B and C are incorrect.

NEW QUESTION 11

This function of the stats command allows you to identify the number of values a field has.

• A. max
• B. distinct_count
• C. fields
• D. count

Answer: D

NEW QUESTION 12

Tags can reference which of the following knowledge objects?

• A. Lookups and event types only.
• B. Extracted fields, field aliases, calculated fields, lookups, and event types.
• C. Tags cannot reference any of these knowledge objects because tags are the last knowledge objects generated in the search-time operation sequence.
• D. Extracted fields, calculated fields, and field aliases only.

Answer: B

Explanation:
Tags are a type of knowledge object that enable you to assign descriptive keywords to events. Tags can reference any of the following knowledge objects: extracted fields, field aliases, calculated fields, lookups, and event types. Tags cannot reference other tags or search macros. Tags are applied to events at search time based on the values of the fields that they reference2
1: Splunk Core Certified Power User Track, page 10. 2: Splunk Documentation, About tags and aliases.

NEW QUESTION 13

What information must be included when using the datamodel command?

• A. status field
• B. Multiple indexes
• C. Data model field name.
• D. Data model dataset name.

Answer: D

NEW QUESTION 14

Which of the following statements describes macros?

• A. A macro is a reusable search string that must contain the full search.
• B. A macro is a reusable search string that must have a fixed time range.
• C. A macro Is a reusable search string that may have a flexible time range.
• D. A macro Is a reusable search string that must contain only a portion of the search.

Answer: C

Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Definesearchmacros
A macro is a reusable search string that can contain any part of a search, such as search terms, commands, arguments, etc. A macro can have a flexible time range that can be specified when the macro is executed. A macro can also have arguments that can be passed to the macro when it is executed. A macro can be created by using the Settings menu or by editing the macros.conf file. A macro does not have to contain the full search, but only the part that needs to be reused. A macro does not have to have a fixed time range, but can use a relative or absolute time range modifier. A macro does not have to contain only a portion of the search, but can contain multiple parts of the search.

NEW QUESTION 15

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.

Answer: B

Explanation:
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(<field1>,<field2>,…)
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

NEW QUESTION 16

What will you learn from the results of the following search? sourcetype=cisco_esa | transaction mid, dcid, icid | timechart avg(duration)

• A. The average time elapsed during each transaction for all transactions
• B. The average time for each event within each transaction
• C. The average time between each transaction

Answer: A

NEW QUESTION 17

Which of the following searches will return events containing a tag named Privileged?

• A. tag=Priv
• B. tag=Priv*
• C. tag=priv*
• D. tag=privileged

Answer: B

Explanation:
The tag=Priv* search will return events containing a tag named Privileged, as well as any other tag that starts with Priv. The asterisk (*) is a wildcard character that matches zero or more characters. The other searches will not match the exact tag name.

NEW QUESTION 18

What is required for a macro to accept three arguments?

• A. The macro's name ends with (3).
• B. The macro's name starts with (3).
• C. The macro's argument count setting is 3 or more.
• D. Nothing, all macros can accept any number of arguments.

Answer: A

Explanation:
To create a macro that accepts arguments, you must include the number of arguments in parentheses at the end of the macro name1. For example, my_macro(3) is a macro that accepts three arguments. The number of arguments in the macro name must match the number of arguments in the definition1. Therefore, option A is correct, while options B, C and D are incorrect.

NEW QUESTION 19

What type of command is eval?

• A. Streaming in some modes
• B. Report generating
• C. Distributable streaming
• D. Centralized streaming

Answer: C

Explanation:
The correct answer is C. Distributable streaming. This is because the eval command is a type of command that can run on the indexers before the results are sent to the search head. This reduces the amount of data that needs to be transferred and improves the search performance. Distributable streaming commands can operate on each event or result individually, without depending on other events or results. You can learn more about the types of commands and how they affect search performance from the Splunk documentation1.

NEW QUESTION 20

Which of the following statements describes the use of the Field Extractor (FX)?

• A. The Field Extractor automatically extracts all fields at search time.
• B. The Field Extractor uses PERL to extract fields from the raw events.
• C. Fields extracted using the Field Extractor persist as knowledge objects.
• D. Fields extracted using the Field Extractor do not persist and must be defined for each search.

Answer: C

Explanation:
The statement that fields extracted using the Field Extractor persist as knowledge objects is true. The Field Extractor (FX) is a graphical tool that allows you to extract fields from raw events using regular expressions or delimiters. The fields extracted by the FX are saved as knowledge objects that can be used in future searches or shared with other users.

NEW QUESTION 21
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