Splunk SPLK-1002 Online Practice Questions and Exam Preparation

Splunk SPLK-1002 Online Questions & Answers

• Question 151:

  The eval command allows you to do which of the following? (Choose all that apply.)

  A. Format values
  B. Convert values
  C. Perform calculations
  D. Use conditional statements
  A. Format values
  B. Convert values
  C. Perform calculations
  D. Use conditional statements

• Question 152:

  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/Reference:

  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 153:

  Which field extraction method should be selected for comma-separated data?

  A. Regular expression
  B. Delimiters
  C. eval expression
  D. table extraction
  B. Delimiters

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  Explanation/Reference:

  The correct answer is B. Delimiters. This is because the delimiters method is designed for structured event data, such as 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 can select a sample event, identify the delimiter, and then rename the fields that the field extractor finds.You can learn more about the delimiters method from the Splunk documentation. The other options are incorrect because they are not suitable for comma- separated data. The regular expression method works best with unstructured event data, where you select and highlight one or more fields to extract from a sample event, and the field extractor generates a regular expression that matches similar events and extracts the fields from them. The eval expression is a command that lets you calculate new fields or modify existing fields using arithmetic, string, and logical operations. The table extraction is a feature that lets you extract tabular data from PDF files or web pages.You can learn more about these methods from the Splunk documentation.

• Question 154:

  Which of the following statements is true, especially in large environments?

  A. Use the scats command when you next to group events by two or more fields.
  B. The stats command is faster and more efficient than the transaction command
  C. The transaction command is faster and more efficient than the stats command.
  D. Use the transaction command when you want to see the results of a calculation.
  B. The stats command is faster and more efficient than the transaction command

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  Explanation/Reference:

  Reference:https://answers.splunk.com/answers/103/transaction-vs-stats-commands.html

  The stats command is faster and more efficient than the transaction command, especially in large environments. The stats command is used to calculate summary statistics on the events, such as count, sum, average, etc. The stats command can group events by one or more fields or by time buckets. The stats command does not create new events from groups of events, but rather creates new fields with statistical values. The transaction command is used to group events into transactions based on some common characteristics, such as fields, time, or both. The transaction command creates new events from groups of events that share one or more fields. The transaction command also creates some additional fields for each transaction, such as duration, eventcount, startime, etc. The transaction command is slower and more resource-intensive than the stats command because it has to process more data and create more events and fields.

• Question 155:

  What fields does the transaction command add to the raw events? (select all that apply)

  A. count
  B. duration
  C. eventcount
  D. transaction id
  B. duration
  D. transaction id

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  Explanation/Reference:

  Hello, this is Bing. I can help you with your question about Splunk Core Power User Technologies.

  The correct answers are B. duration and D. transaction id.

  The explanation is as follows:

  The transaction command is a Splunk command that finds transactions based on events that meet various constraints.

  Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member.

  The transaction command adds some fields to the raw events that are part of the transaction. These fields are:

  Therefore, the fields that the transaction command adds to the raw events are duration and transaction_id, which are options B and D in your question.

• Question 156:

  Use the dedup command to _____.

  A. Rename a field in the index
  B. remove duplicate values
  C. provide an additional alias for the field that can D.be used in the search criteria
  B. remove duplicate values

• Question 157:

  What is the Splunk Common Information Model (CIM)?

  A. The CIM is a prerequisite that any data source must meet to be successfully onboarded into Splunk.
  B. The CIM provides a methodology to normalize data from different sources and source types.
  C. The CIM defines an ecosystem of apps that can be fully supported by Splunk.
  D. The CIM is a data exchange initiative between software vendors.
  B. The CIM provides a methodology to normalize data from different sources and source types.

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  Explanation/Reference:

  The Splunk Common Information Model (CIM) provides a methodology to normalize data from different sources and source types. The CIM defines a common set of fields and tags for different types of data, such as web, network, email, etc. This allows you to search and analyze data from different sources in a consistent way.

• Question 158:

  Which of the following can be saved as an event type?

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

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  Explanation/Reference:

  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 searchindex-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 searchindex=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 searchindex=server_472 sourcetype=BETA_494 code=488 | stats where code > 200includes 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 searchindex=server_472 sourcetype=BETA_494 code-488is 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.

• Question 159:

  How could the following syntax for the chart command be rewritten to remove the OTHER category? (select all that apply) A. | chart count over CurrentStanding by Action useother=f

  

  B. | chart count over CurrentStanding by Action usenull-f useother-t
  C. | chart count over CurrentStanding by Action limit=10 useother=f
  D. | chart count over CurrentStanding by Action limit-10
  C. | chart count over CurrentStanding by Action limit=10 useother=f

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  Explanation/Reference:

  In Splunk, when using the chart command, the useother parameter can be set to false(f) to remove the 'OTHER' category, which is a bucket that Splunk uses to aggregate low-cardinality groups into a single group to simplify visualization.

  Here's how the options break down:

  A.| chart count over CurrentStanding by Action useother=f This command correctly sets the useother parameter to false, which would prevent the 'OTHER' category from being displayed in the resulting visualization. B.| chart count over

  CurrentStanding by Action usenull=f useother=t This command has useother set to true(t), which means the 'OTHER' category would still be included, so this is not a correct option. C.| chart count over CurrentStanding by Action limit=10

  useother=f Similar to option A, this command also sets useother to false, additionally imposing a limit to the top 10 results, which is a way to control the granularity of the chart but also to remove the 'OTHER' category.

  D.| chart count over CurrentStanding by Action limit-10This command has a syntax error (limit-10should belimit=10) and does not include the useother=f clause. Therefore, it would not remove the 'OTHER' category, making it incorrect. The

  correct answers to rewrite the syntax to remove the 'OTHER' category are options A and C, which explicitly set useother=f.

• Question 160:

  Which of these search strings is NOT valid:

  A. index=web status=50* | chart count over host, status
  B. index=web status=50* | chart count over host by status
  C. index=web status=50* | chart count by host, status
  A. index=web status=50* | chart count over host, status

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  Explanation/Reference:

  This search string is not valid: index=web status=50* | chart count over host,status. This search string uses an invalid syntax for the chart command. The chart command requires one field after the over clause and optionally one field after the by clause. However, this search string has two fields after the over clause separated by a comma. This will cause a syntax error and prevent the search from running. Therefore, option A is correct, while options B and C are incorrect because they are valid search strings that use the chart command correctly.