Splunk SPLK-1002 Online Practice Questions and Exam Preparation

Splunk SPLK-1002 Online Questions & Answers

• Question 1:

  By default, how is acceleration configured in the Splunk Common Information Model (CIM) add-on?

  A. Turned off
  B. Turned on
  C. Determined automatically based on the sourcetype.
  D. Determined automatically based on the data source.
  D. Determined automatically based on the data source.

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  explanation:

  Explanation/Reference:

  By default, acceleration is determined automatically based on the data source in the Splunk Common Information Model (CIM) add-on. The Splunk CIM Add-on is an app that provides common data models for various domains, such as network traffic, web activity, authentication, etc. The CIM Add-on allows you to normalize and enrich your data using predefined fields and tags. The CIM Add-on also allows you to accelerate your data models for faster searches and reports. Acceleration is a feature that pre-computes summary data for your data models and stores them in tsidx files. Acceleration can improve the performance and efficiency of your searches and reports that use data models. By default, acceleration is determined automatically based on the data source in the CIM Add-on. This means that Splunk will decide whether to enable or disable acceleration for each data model based on some factors, such as data volume, data type, data model complexity, etc. However, you can also manually enable or disable acceleration for each data model by using the Settings menu or by editing the datamodels.conf file.

• Question 2:

  Given the following eval statement:

  ...| eval fieldl - if(isnotnull(fieldl),fieldl,0), field2 = if(isnull, "NO-VALUE", fieid2)

  Which of the following is the equivalent using f ilinull?

  A. There is no equivalent expression using f ilinull
  B. ... t filinull values=(0,"NO-VALUE") fields=(fieldl,field2)
  C. ... I filinull value=0 fieldl I fillnull fields
  D. ... I fillnull fieldl I filinull value="NO-VALUE" field2
  B. ... t filinull values=(0,"NO-VALUE") fields=(fieldl,field2)

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  explanation:

  Explanation/Reference:

  The fillnull command replaces null values in one or more fields with a specified value. The values option allows you to specify a comma-separated list of values to fill the null values in the corresponding fields. The fields option allows you to specify a comma-separated list of fields to apply the fillnull command to. The eval statement in the question uses the if and isnull functions to check if field1 and field2 have null values and replace them with 0 and "NO-VALUE" respectively. The equivalent expression using fillnull is to use the values option to specify 0 and "NO-VALUE" and the fields option to specify field1 and field2

  1: Splunk Core Certified Power User Track, page 9.

  2: Splunk Documentation, fillnull command.

• Question 3:

  Which statement is true?

  A. Pivot is used for creating datasets.
  B. Data models are randomly structured datasets.
  C. Pivot is used for creating reports and dashboards.
  D. In most cases, each Splunk user will create their own data model.
  C. Pivot is used for creating reports and dashboards.

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  explanation:

  Explanation/Reference:

  The statement that pivot is used for creating reports and dashboards is true. Pivot is a graphical interface that allows you to create tables, charts, and visualizations from data models. Data models are structured datasets that define how data is organized and categorized. Pivot does not create datasets, but uses existing ones.

• Question 4:

  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

• Question 5:

  Which of the following eval command functions is valid?

  A. int()
  B. count()
  C. print()
  D. tostring()
  D. tostring()

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  explanation:

  Explanation/Reference:

  https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/CommonEvalFunct ions

  The eval command function tostring() is valid. The tostring() function converts a numeric value to a string value. For example, tostring(3.14) returns "3.14". The other functions are not valid eval command functions.

• Question 6:

  To create a tag, which of the following conditions must be met by the user?

  A. Identify at least one field:value pair.
  B. Have the Power role at a minimum.
  C. Be able to edit the sourcetype the tag applies to.
  D. Must have the tag capability associated with their user role.
  D. Must have the tag capability associated with their user role.

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  explanation:

  Explanation/Reference:

  To create a tag, the user must have the tag capability associated with their user role. The tag capability allows the user to create, edit, and delete tags. The user does not need to identify a field:value pair, have the Power role, or be able to edit the sourcetype the tag applies to.ReferencesSee Define and manage tags in Settings and [About capabilities] in the Splunk Documentation.

• Question 7:

  If there are fields in the data with values that are " " or empty but not null, which of the following would add a value?

  A. | eval notNULL = if(isnull (notNULL), "0" notNULL)
  B. | eval notNULL = if(isnull (notNULL), "0"
  C. | eval notNULL = "" | nullfill value=0 notNULL
  D. | eval notNULL = "" fillnull value=0 notNULL
  D. | eval notNULL = "" fillnull value=0 notNULL

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  explanation:

  Explanation/Reference:

  The correct answer is D. | eval notNULL = "" fillnull value=0 notNULL

  Option A is incorrect because it is missing a comma between the "0" and the notNULL in the if function. The correct syntax for the if function is if (condition, true_value, false_value). Option B is incorrect because it is missing the false_value argument in the if function. The correct syntax for the if function is if (condition, true_value, false_value). Option C is incorrect because it uses the nullfill command, which only replaces null values, not empty strings. The nullfill command is equivalent to fillnull value=null. Option D is correct because it uses the eval command to assign an empty string to the notNULL field, and then uses the fillnull command to replace the empty string with a zero. The fillnull command can replace any value with a specified replacement, not just null values.

• Question 8:

  Which of the following transforming commands can be used with transactions?

  A. chart, timechart, stats, eventstats
  B. chart, timechart, stats, diff
  C. chart, timeehart, datamodel, pivot
  D. chart, timecha:t, stats, pivot
  A. chart, timechart, stats, eventstats

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  explanation:

  Explanation/Reference:

  The correct answer is A. chart, timechart, stats, eventstats.

  Transforming commands are commands that change the format of the search results into a table or a chart.They can be used to perform statistical calculations, create visualizations, or manipulate data in various ways. Transactions are groups of events that share some common values and are related in some way.Transactions can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf file. Some transforming commands can be used with transactions to create tables or charts based on the transaction fields. These commands include: chart: This command creates a table or a chart that shows the relationship between two or more fields.It can be used to aggregate values, count occurrences, or calculate statistics. timechart: This command creates a table or a chart that shows how a field changes over time.It can be used to plot trends, patterns, or outliers. stats: This command calculates summary statistics on the fields in the search results, such as count, sum, average, etc.It can be used to group and aggregate data by one or more fields. eventstats: This command calculates summary statistics on the fields in the search results, similar to stats, but it also adds the results to each event as new fields. It can be used to compare events with the overall statistics. These commands can be applied to transactions by using the transaction fields as arguments. For example, if you have a transaction type named "login" that groups events based on the user field and has fields such as duration and eventcount, you can use the following commands with transactions: | chart count by user: This command creates a table or a chart that shows how many transactions each user has. | timechart span=1h avg(duration) by user: This command creates a table or a chart that shows the average duration of transactions for each user per hour. | stats sum(eventcount) as total_events by user: This command creates a table that shows the total number of events for each user across all transactions. | eventstats avg(duration) as avg_duration: This command adds a new field named avg_duration to each transaction that shows the average duration of all transactions. The other options are not valid because they include commands that are not transforming commands or cannot be used with transactions. These commands are: diff: This command compares two search results and shows the differences between them. It is not a transforming command and it does not work with transactions. datamodel: This command retrieves data from a data model, which is a way to organize and categorize data in Splunk. It is not a transforming command and it does not work with transactions. pivot: This command creates a pivot report, which is a way to analyze data from a data model using a graphical interface. It is not a transforming command and it does not work with transactions. References: About transforming commands About transactions chart command overview timechart command overview stats command overview [eventstats command overview] [diff command overview] [datamodel command overview] [pivot command overview]

• Question 9:

  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
  A. Boolean expression, result if true, result if false

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  explanation:

  Explanation/Reference:

  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.

• Question 10:

  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.
  B. Extracted fields, field aliases, calculated fields, lookups, and event types.

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  explanation:

  Explanation/Reference:

  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 reference.

  1: Splunk Core Certified Power User Track, page 10.

  2: Splunk Documentation, About tags and aliases.