Splunk SPLK-1004 Online Practice Questions and Exam Preparation

Splunk SPLK-1004 Online Questions & Answers

• Question 11:

  How can a lookup be referenced in an alert?

  A. Use the lookup dropdown in the alert configuration window.
  B. Follow a lookup with an alert command in the search bar.
  C. Run a search that uses a lookup and save as an alert.
  D. Upload a lookup file directly to the alert.
  C. Run a search that uses a lookup and save as an alert.

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  Explanation/Reference:

  To reference a lookup in an alert in Splunk, you would run a search that uses a lookup and then save that search as an alert (Option C). This method integrates the lookup within the search logic, and when the search conditions meet the alert's trigger conditions, the alert is activated. This approach allows the alert to leverage the enriched data provided by the lookup for more accurate and informative alerting.

• Question 12:

  How can the erex and rex commands be used in conjunction to extract fields?

  A. The regex Generated by the erex command can be edited and used with the regex command in a subsequent search.
  B. The regex generated by the rex command can be edited and used with the erex command in a subsequent search.
  C. The regex generated by the erex command can be edited and used with the erex command in a subsequent search.
  D. The erex and rex commands cannot be used in conjunction under any circumstances.
  A. The regex Generated by the erex command can be edited and used with the regex command in a subsequent search.

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  Explanation/Reference:

  The erex command in Splunk is used to generate regular expressions based on example data, and these generated regular expressions can then be edited and utilized with the rex command in subsequent searches (Option A). The erex command is helpful for users who may not be familiar with regular expression syntax, as it provides a starting point that can be refined and customized with rex for more precise field extraction.

• Question 13:

  What arguments are required when using the spath command?

  A. input, output, index
  B. input, output path
  C. No arguments are required.
  D. field, host, source
  B. input, output path

• Question 14:

  What does using the tstats command with summariesonly=false do?

  A. Returns results from only non-summarized data.
  B. Returns results from both summarized and non-summarized data.
  C. Prevents use of wildcard characters in aggregate functions.
  D. Returns no results.
  B. Returns results from both summarized and non-summarized data.

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  Explanation/Reference:

  Using the tstats command with summariesonly=false instructs Splunk to return results from both summarized (accelerated) data and non-summarized (raw) data. This can be useful when you need a comprehensive view of the data that includes both the high-performance summaries provided by data model acceleration and the detailed granularity of raw data.

• Question 15:

  What is the recommended way to create a field extraction that is both persistent and precise?

  A. Use the rex command.
  B. Use the Field Extractor and manually edit the generated regular expression.
  C. Use the Field Extractor and let it automatically generate a regular expression.
  D. Use the erex command.
  B. Use the Field Extractor and manually edit the generated regular expression.

• Question 16:

  what is the result of the xyseries command?

  A. To transform single series output into a multi-series output
  B. To transform a stats-like output into chart-like output.
  C. To transform a multi-series output into single series output.
  D. To transform a chart-like output into a stats-like output.
  B. To transform a stats-like output into chart-like output.

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  Explanation/Reference:

  The result of the xyseries command in Splunk is to transform a stats-like output into chart- like output (Option B). The xyseries command restructures the search results so that each row represents a unique combination of x and y values, suitable for plotting in a chart, making it easier to visualize complex relationships between multiple data points.

• Question 17:

  What is the value of base lispy in the Search Job Inspector for the search index-sales clientip-170.192.178.10?

  A. [ index::sales 192 AND 10 AMD 178 AND 170 ]
  B. [ index::sales AND 469 10 702 390 ]
  C. [ 192 AND 10 AND 178 AND 170 Index::sales ]
  D. [ AND 10 170 178 192 Index::sales ]
  A. [ index::sales 192 AND 10 AMD 178 AND 170 ]

• Question 18:

  How is regex passed to the makemv command?

  A. makemv be preceded by the erex command.
  B. It is specified by the delim argument.
  C. It Is specified by the tokenizer argument.
  D. Makemv must be preceded by the rex command.
  B. It is specified by the delim argument.

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  Explanation/Reference:

  The regex is passed to the makemv command in Splunk using the delim argument (Option B). This argument specifies the delimiter used to split a single string field into multiple values, effectively creating a multivalue field from a field that contains delimited data.

• Question 19:

  Which syntax is used when referencing multiple CSS files in a view?

  C

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  Explanation/Reference:

  When referencing multiple CSS files in a Splunk dashboard view (within Simple XML), the correct approach is to include separate stylesheet attributes for each CSS file. The syntax for this would be similar to (Option C). This method allows the dashboard to load and apply the styles from both CSS files, enhancing the dashboard's visual appearance and user interface design.

• Question 20:

  How is a muitlvalue Add treated from product-"a, b, c, d"?

  A. . . . | makemv delim{product, ","}
  B. . . . | eval mvexpand{makemv{product, ","})
  C. . . . | mvexpand product
  D. . . . | makemv delim="," product
  D. . . . | makemv delim="," product

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  Explanation/Reference:

  To treat a multivalue field product="a, b, c, d" in Splunk, the correct command is ...| makemv delim="," product (Option D).The makemv command with the delim argument specifies the delimiter (in this case, a comma) to split the field values into a multivalue field. This allows for easier manipulation and analysis of each value within the product field as separate entities.