QUIZ 2025 SPLUNK EFFICIENT VALID TEST SPLK-1002 TUTORIAL

Quiz 2025 Splunk Efficient Valid Test SPLK-1002 Tutorial

Quiz 2025 Splunk Efficient Valid Test SPLK-1002 Tutorial

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Splunk Core Certified Power User Exam Sample Questions (Q100-Q105):

NEW QUESTION # 100
To which of the following can a field alias be applied?

  • A. A given host, source, or sourcetype.
  • B. Only one single field in a dataset.
  • C. Data found in a lookup table.
  • D. Either a calculated field or an extracted field.

Answer: D

Explanation:
In Splunk, a field alias is used to create an alternative name for an existing field, making it easier to refer to data in a consistent manner across different searches and reports. Field aliases can be applied to both calculated fields and extracted fields. Calculated fields are those that are created using eval expressions, while extracted fields are typically those parsed from the raw data at index time or search time. This flexibility allows users to streamline their searches by using more intuitive field names without altering the underlying data. Field aliases cannot be applied to data in a lookup table, specific individual fields within a dataset, or directly to a host, source, or sourcetype.


NEW QUESTION # 101
Which of the following can be saved as an event type?

  • A. index=server_472 sourcetype=BETA_494 code-488
  • B. index=server_472 sourcetype=BETA_494 code=488 I stats where code > 200
  • C. index=server_472 sourcetype=BETA_494 code=488 [I inputlookup append=t servercode.csv]
  • D. index-server_472 sourcetype-BETA_494 code-488 I stats count by code

Answer: A

Explanation:
Event types in Splunk are saved searches that categorize data, making it easier to search for specific patterns or criteria within your data. When saving an event type, the search must essentially filter events based on criteria without performing operations that transform or aggregate the data. Here's a breakdown of the options:
A: The search index-server_472 sourcetype-BETA_494 code-488 | stats count by code performs an aggregation operation (stats count by code), which makes it unsuitable for saving as an event type. Event types are meant to categorize data without aggregating or transforming it.
B: The search index=server_472 sourcetype=BETA_494 code=488 [ | inputlookup append=t servercode.csv] includes a subsearch and input lookup, which is typically used to enrich or filter events based on external data. This complexity goes beyond simple event categorization.
C: The search index=server_472 sourcetype=BETA_494 code=488 | stats where code > 200 includes a filtering condition within a transforming command (stats), which again, is not suitable for defining an event type due to the transformation of data.
D: The search index=server_472 sourcetype=BETA_494 code-488 is the correct answer as it purely filters events based on index, sourcetype, and a code field condition without transforming or aggregating the data.
This is what makes it suitable for saving as an event type, as it categorizes data based on specific criteria without altering the event structure or content.


NEW QUESTION # 102
What is the correct syntax to search for a tag associated with a value on a specific fields?

  • A. Tag::<filed>=<tagname>
  • B. Tag=<filed>::<tagname>
  • C. Tag-<field?
  • D. Tag<filed(tagname.)

Answer: A

Explanation:
Reference:
A tag is a descriptive label that you can apply to one or more fields or field values in your events2. You can use tags to simplify your searches by replacing long or complex field names or values with short and simple tags2. To search for a tag associated with a value on a specific field, you can use the following syntax: tag::<field>=<tagname>2. For example, tag::status=error will search for events where the status field has a tag named error. Therefore, option D is correct, while options A, B and C are incorrect because they do not follow the correct syntax for searching tags.


NEW QUESTION # 103
A macro has another macro nested within it, and this inner macro requires an argument. How can the user pass
this argument into the SPL?

  • A. An argument can be passed to the outer macro by nesting parentheses.
  • B. There is no way to pass an argument to the inner macro.
  • C. An argument can be passed to the inner macro by nesting parentheses.
  • D. An argument can be passed through the outer macro.

Answer: C

Explanation:
The correct answer is D. An argument can be passed to the inner macro by nesting parentheses.
A search macro is a way to reuse a piece of SPL code in different searches. A search macro can take
arguments, which are variables that can be replaced by different values when the macro is called. A search
macro can also contain another search macro within it, which is called a nested macro. A nested macro can
also take arguments, which can be passed from the outer macro or directly from the search string.
To pass an argument to the inner macro, you need to use parentheses to enclose the argument value and
separate it from the outer macro argument. For example, if you have a search macro namedouter_macro
(1)that contains another search macro namedinner_macro (2), and both macros take one argument each, you
can pass an argument to the inner macro by using the following syntax:
outer_macro (argument1, inner_macro (argument2))
This will replace the argument1 and argument2 with the values you provide in the search string. For example,
if you want to pass "foo" as the argument1 and "bar" as the argument2, you can write:
outer_macro ("foo", inner_macro ("bar"))
This will expand the macros with the corresponding arguments and run the SPL code contained in them.
References:
Search macro examples
Use search macros in searches


NEW QUESTION # 104
A calculated field maybe based on which of the following?

  • A. Lookup tables
  • B. Regular expressions
  • C. Extracted fields
  • D. Fields generated within a search string

Answer: C

Explanation:
Explanation
As mentioned before, a calculated field is a field that you create based on the value of another field or fields2. A calculated field can be based on extracted fields, which are fields that are extracted from your raw data using various methods such as regular expressions, delimiters or key-value pairs2. Therefore, option B is correct, while options A, C and D are incorrect because they are not types of fields that a calculated field can be based on.


NEW QUESTION # 105
......

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