Splunk SPLK-1002 Online Practice Questions and Exam Preparation

Splunk SPLK-1002 Online Questions & Answers

• Question 271:

  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.
  A. The macro's name ends with (3).

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  Explanation

  To create a macro that accepts arguments, you must include the number of arguments in parentheses at the end of the macro name. 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 definition. Therefore, option A is correct, while options B, C and D are incorrect.

• Question 272:

  In the Field Extractor, when would the regular expression method be used?

  A. When events contain JSON data.
  B. When events contain comma-separated data.
  C. When events contain unstructured data.
  D. When events contain table-based data.
  C. When events contain unstructured data.

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  Explanation

  The correct answer is C. When events contain unstructured data. The regular expression method works best with unstructured event data, such as log files or text messages, where the fields are not separated by a common delimiter, such as a comma or space.You select a sample event and highlight one or more fields to extract from that event, and the field extractor generates a regular expression that matches similar events inyour dataset and extracts the fields from them. The regular expression method provides several tools for testing and refining the accuracy of the regular expression.It also allows you to manually edit the regular expression. The delimiters 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 or space.You select a sample event, identify the delimiter, and then rename the fields that the field extractor finds.This method is simpler and faster than the regular expression method, but it may not work well with complex or irregular data formats.

  References:

  1:Build field extractions with the field extractor - Splunk Documentation

• Question 273:

  Which of the following statements about tags is true? (select all that apply.)

  A. Tags are case-insensitive.
  B. Tags are based on field/vale pairs.
  C. Tags categorize events based on a search.
  D. Tags are designed to make data more understandable.
  B. Tags are based on field/vale pairs.
  D. Tags are designed to make data more understandable.

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  Explanation

  The following statements about tags are true: tags are based on field/value pairs and tags categorize events based on a search. Tags are custom labels that can be applied to fields or field values to provide additional context or meaning for your data. Tags can be used to filter or analyze your data based on common concepts or themes. Tags can be created by using various methods, such as search commands, configuration files, user interfaces, etc. Some of the characteristics of tags are: Tags are based on field/value pairs: This means that tags are associated with a specific field name and a specific field value. For example, you can create a tag called "alert" for the field name "status" and the field value "critical". This means that only events that have status=critical will have the "alert" tag applied to them. Tags categorize events based on a search: This means that tags are defined by a search string that matches the events that you want to tag. For example, you can create a tag called "web" for the search string sourcetype=access_combined.

  This means that only events that match the search string sourcetype=access_combined will have the "web" tag applied to them. The following statements about tags are false: tags are case-insensitive and tags are designed to make data more understandable. Tags are case-sensitive and tags are designed to make data more searchable. Tags are case-sensitive: This means that tags must match the exact case of the field name and field value that they are associated with. For example, if you create a tag called "alert" for the field name

  "status" and the field value "critical", it will not apply to events that have status=CRITICAL or Status=critical.

  Tags are designed to make data more searchable: This means that tags can help you find relevant events or patterns in your data by using common concepts or themes. For example, if you create a tag called "web" for the search string sourcetype=access_combined, you can use tag=web to find all events related to web activity.

• Question 274:

  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

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  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 fields.

• Question 275:

  What is needed to define a calculated field?

  A. Eval expression
  B. Data model
  C. Event type
  D. Regular expression
  A. Eval expression

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  Explanation

  A calculated field in Splunk is created using an eval expression, which allows users to perform calculations or transformations on field values during search time.

  References:

  Splunk Docs - Calculated fields

• Question 276:

  A data model consists of which three types of datasets?

  A. Constraint, field, value.
  B. Events, searches, transactions.
  C. Field extraction, regex, delimited.
  D. Transaction, session ID, metadata.
  B. Events, searches, transactions.

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  Explanation

  The building block of a data model. Each data model is composed of one or more data model datasets. Each dataset within a data model defines a subset of the dataset represented by the data model as a whole. Data model datasets have a hierarchical relationship with each other, meaning they have parent-child relationships. Data models can contain multiple dataset hierarchies. There are three types of dataset hierarchies: event, search, and transaction.

  https://docs.splunk.com/Splexicon:Datamodeldataset

• Question 277:

  Which of the following file formats can be extracted using a delimiter field extraction?

  A. CSV
  B. PDF
  C. XML
  D. JSON
  A. CSV

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  Explanation

  A delimiter field extraction is a method of extracting fields from data that uses a character or a string to separate fields in each event. A delimiter field extraction can be performed by using the Field Extractor (FX) tool or by editing the props.conf file. A delimiter field extraction can be applied to any file format that uses a delimiter to separate fields, such as CSV, TSV, PSV, etc. A CSV file is a comma-separated values file that uses commas as delimiters. Therefore, a CSV file can be extracted using a delimiter field extraction.

• Question 278:

  When multiple event types with different color values are assigned to the same event, what determines the color displayed for the events?

  A. Rank
  B. Weight
  C. Priority
  D. Precedence
  C. Priority

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  Explanation

  References:

  https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Knowledge/Defineeventtypes.Whenmultipleeventtypeswithdifferentcolorvaluesareassignedtothesameevent,thecolordisplayedfortheeventsisdeterminedbythepriorityoftheeventtypes.Thepriorityisanumericalvaluethatindicateshowimportantaneventtypeis.Thehigherthepriority,themoreimportanttheeventtype.Theeventtypewiththehighestprioritywilldeterminethecoloroftheevent.

• Question 279:

  Which of the following is the correct way to use the data model command to search field in the data model within the web dataset?

  A. | datamodel web search | filed web *
  B. | Search datamodel web web | filed web*
  C. | datamodel web web field | search web*
  D. Datamodel=web | search web | filed web*
  A. | datamodel web search | filed web *

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  Explanation

  The data model command allows you to run searches on data models that have been accelerated. The syntax for using the data model command is | datamodel <model_name> <dataset_name> [search <search_string>]. Therefore, option A is the correct way to use the data model command to search fields in the data model within the web dataset. Options B and C are incorrect because they do not follow the syntax for the data model command.

  Option D is incorrect because it does not use the data model command at all.

• Question 280:

  Which of the following is one of the pre-configured data models included in the Splunk Common Information Model (CIM) add-on?

  A. Access
  B. Accounting
  C. Authorization
  D. Authentication
  D. Authentication