SPLK-1002 Exam Dumps

272 Questions


Last Updated On : 24-Feb-2025



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Topic 2: Questions Set 2

Which search string would only return results for an event type called success ful_purchases?


A. tag=success ful_purchases


B. Event Type:: successful purchases


C. successful_purchases


D. event type—success ful_purchases





C.
  successful_purchases

Explanation: This is because event types are added to events as a field named eventtype, and you can use this field as a search term to find events that match a specific event type. For example, eventtype=successful_purchases returns all events that have been categorized as successful purchases by the event type definition. The other options are incorrect because they either use a different field name (tag), a different syntax (Event Type:: or event type—), or have a typo (success ful_purchases). You can learn more about how to use event types in searches from the Splunk documentation1.

The macro weekly_sales (2) contains the search string:
index=games | eval ProductSales = $Price$ * $AmountSold$
Which of the following will return results?


A. ‘weekly sales (3)’


B. ‘weekly_sales($3.995, $108)’


C. 'weekly_sales (3.99, 10)’


D. ‘weekly sales (3.99, 10)’





C.
  'weekly_sales (3.99, 10)’

Explanation: To use a search macro in a search string, you need to place a back tick character (`) before and after the macro name1. You also need to use the same number of arguments as defined in the macro2. The macro weekly sales (2) has two arguments:PriceandAmountSold. Therefore, you need to provide two values for these arguments when you call the macro.
The option A is incorrect because it uses parentheses instead of back ticks around the macro name. The option B is incorrect because it uses underscores instead of spaces in the macro name. The option D is incorrect because it uses spaces instead of commas to separate the argument values.

Where are the descriptions of the data models that come with the Splunk Common Information Model (CIM) Add-on documented?


A. Search and reporting user manual.


B. CIM Add-on manual


C. Pivot users manual


D. Datamodel command reference guide.





B.
  CIM Add-on manual

Explanation: The descriptions of the data models that come with the Splunk Common Information Model (CIM) Add-on are documented in the CIM Add-on manual (Option B). This manual provides detailed information about the data models, including their structure, the types of data they are designed to normalize, and how they can be used to facilitate cross-sourcing reporting and analysis.

What field must be present in order to use the timechart command?


A. _raw


B. rime


C. _time


D. index





C.
  _time

Explanation: The timechart command in Splunk requires the _time field to be present in the dataset because it uses time as the primary axis for charting data. The _time field represents the time of events and is essential for commands that generate visualizations based on time, such as timechart. This command groups the events into time intervals and performs statistical functions on those time intervals. Without the _time field, the timechart command will not function properly.

What happens when a user edits the regular expression (regex) field extraction generated in the Field Extractor (FX)?


A. There is a limit to the number of fields that can be extracted.


B. The user is unable to preview the extractions.


C. The extraction is added at index time.


D. The user is unable to return to the automatic field extraction workflow.





A.
  There is a limit to the number of fields that can be extracted.

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

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 field1.
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 values2.
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 expression1.
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 contiguous3.
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.


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