Splunk SPLK-1002 Online Practice Questions and Exam Preparation

Splunk SPLK-1002 Online Questions & Answers

• Question 291:

  A Splunk app is configured to extract domain names in web service logs and specify them as a field named domain.

  What workflow action would return an external IP lookup for the field named domain?

  A. POST
  B. PUT
  C. GET
  D. Search
  C. GET

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  Explanation

  In Splunk, a workflow action that returns an external IP lookup for a field named domain would typically use the GET method. This HTTP method is used to retrieve data from a specified resource, which is appropriate for looking up information based on the domain field.

  References:

  Splunk Docs: Define workflow actions

  Splunk Answers: Workflow actions for external lookups

• Question 292:

  This function of the stats command allows you to return the sample standard deviation of a field.

  A. stdev
  B. dev
  C. count deviation
  D. by standarddev
  A. stdev

• Question 293:

  A report scheduled to run every 15 mins. but takes 17 mins. to complete is in danger of being_____.

  A. skipped or deferred
  B. automatically accelerated
  C. deleted
  D. all of the above
  A. skipped or deferred

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  Explanation

  A report that is scheduled to run every 15 minutes but takes 17 minutes to complete is in danger of being skipped or deferred. This means that Splunk may skip some scheduled runs of the report if they overlap with previous runs that are still in progress or defer them until the previous runs are finished. This can affect the accuracy and timeliness of the report results and notifications. Therefore, option A is correct, while options B, C and D are incorrect because they are not consequences of a report taking longer than its schedule interval.

• Question 294:

  Which of the following statements about calculated fields in Splunk is true?

  A. Calculated fields cannot be chained together to create more complex fields
  B. Calculated fields can be chained together to create more complex fields.
  C. Calculated fields can only be used in dashboards.
  D. Calculated fields can only be used in saved reports.
  B. Calculated fields can be chained together to create more complex fields.

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  Explanation

  The correct answer is B. Calculated fields can be chained together to create more complex fields.

  Calculated fields are fields that are added to events at search time by using eval expressions. They can be used to perform calculations with the values of two or more fields already present in those events.

  Calculated fields can be defined with Splunk Web or in the props.conf file.They can be used insearches, reports, dashboards, and data models like any other extracted field. Calculated fields can also be chained together to create more complex fields. This means that you can use a calculated field as an input for another calculated field. For example, if you have a calculated field named total that sums up the values of two fields named price and tax, you can use the total field to create another calculated field named discount that applies a percentage discount to the total field. To do this, you need to define the discount field with an eval expression that references the total field, such as: discount = total * 0.9

  This will create a new field nameddiscountthat is equal to 90% of the total field value for each event.

  References:

  About calculated fields

  Chaining calculated fields

• Question 295:

  A calculated field is a shortcut for performing repetitive, long, or complex transformations using which of the following commands?

  A. transaction
  B. lookup
  C. stats
  D. eval
  D. eval

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  Explanation

  The correct answer is D. eval.

  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 be defined with Splunk Web or in the props.conf file.They can be used in searches, reports, dashboards, and data models like any other extracted field. A calculated field is a shortcut for performing repetitive, long, or complex transformations using the eval command. The eval command is used to create or modify fields by using expressions.The eval command can perform mathematical, string, date and time, comparison, logical, and other operations on fields or values. For example, if you want to create a new field named total that is the sum of two fields named price and tax, you can use the eval command as follows:

  | eval total=price+tax

  However, if you want to use this new field in multiple searches, reports, or dashboards, you can create a calculated field instead of writing the eval command every time. To create a calculated field with Splunk Web, you need to go to Settings

  > Fields > Calculated Fieldsand enter the name of the new field (total), the name of the sourcetype (sales), and the eval expression (price+tax). This will create a calculated field named total that will be added to all events with the sourcetype sales at search time.You can then use the total field like any other extracted field without writing the eval expression. The other options are not correct because they are not related to calculated fields. These options are:

  A. transaction: This command is used to group events that share some common values into a single record, called a transaction.A transaction can span multiple events and multiple sources, and can be useful for correlating events that are related but not contiguous.

  B. lookup: This command is used to enrich events with additional fields from an external source, such as a CSV file or a database. A lookup can add fields to events based on the values of existing fields, such as host, source, sourcetype, or any other extracted field.

  C. stats: This command is used to calculate 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.

  References:

  About calculated fields eval command overview transaction command overview [lookup command overview] [stats command overview]

• Question 296:

  Using the export function, you can export search results as __________.( Select all that apply)

  A. Xml
  B. Json
  C. Html
  D. A php file
  A. Xml
  B. Json

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  Explanation

  Using the export function, you can export search results as XML or JSON. The export function allows you to save your search results in a structured format that can be used by other applications or tools. You can use the output_mode parameter to specify whether you want to export your results asXML or JSON. Therefore, options A and B are correct, while options C and D are incorrect because they are not formats that you can export your search results as.

• Question 297:

  Which of the following eval command functions is valid?

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

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  Explanation

  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 298:

  Which of the following definitions describes a macro named "samplemacro" that accepts two arguments?

  A. Examplemacro [1,2]
  B. samplemacro(1,2)
  C. u amp -CJEUCXG (2)
  D. samplemacro[2]
  B. samplemacro(1,2)

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  Explanation

  In Splunk, a macro can accept arguments, and the correct syntax for a macro that takes two arguments is macro_name(argument1, argument2). In this case, the macro is called samplemacro, and it accepts two arguments, so the correct format would be samplemacro(1,2). This syntax allows for passing dynamic values into the macro, which can then be used to modify the search dynamically based on the arguments provided.

  References:

  Splunk Docs - Macros

• Question 299:

  Which of the following can be used with the eval command to string function (select all that apply)

  A. `'hex''
  B. `'commas''
  C. `'Decimal''
  D. `'duration''
  A. `'hex''
  B. `'commas''
  D. `'duration''

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  Explanation

  https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/ConversionFunctions#tostring.28X.2CY.29

  The tostring function in the eval command converts a numeric value to a string value. It can take an optional second argument that specifies the format of the string value. Some of the possible formats are: hex: converts the numeric value to a hexadecimal string. commas: adds commas to separate thousands in the numeric value. duration: converts the numeric value to a human-readable duration string, such as "2h 3m 4s".

  Therefore, the formats A, B, and D can be used with the tostring function.

• Question 300:

  Which of the following commands are used when creating visualizations? (select all that apply.)

  A. Geom
  B. Choropleth
  C. Geostats
  D. iplocation
  A. Geom
  C. Geostats
  D. iplocation

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  Explanation

  The following commands are used when creating visualizations: geom, geostats, and iplocation.

  Visualizations are graphical representations of data that show trends, patterns, or comparisons.

  Visualizations can have different types, such as charts, tables, maps, etc. Visualizations can be created by using various commands that transform the data into a suitable format for the visualization type. Some of the commands that are used when creating visualizations are: geom: This command is used to create choropleth maps that show geographic regions with different colors based on some metric. The geom command takes a KMZ file as an argument that defines the geographic regions and their boundaries. The geom command also takes a field name as an argument that specifies the metric to use for coloring the regions. geostats: This command is used to create cluster maps that show groups of events with different sizes and colors based on some metric. The geostats command takes a latitude and longitude field as arguments that specify the location of the events. The geostats command also takes a statistical function as an argument that specifies the metric to use for sizing and coloring the clusters. iplocation: This command is used to create location-based visualizations that show events with different attributes based on their IP addresses. The iplocation command takes an IP address field as an argument and adds some additional fields to the events, such as Country, City, Latitude, Longitude, etc. The iplocation command can be used with other commands such as geom or geostats to create maps based on IP addresses.