Splunk SPLK-1004 Online Practice Questions and Exam Preparation

Splunk SPLK-1004 Online Questions & Answers

• Question 1:

  Assuming a standard time zone across the environment, what syntax will always return ewnts from between 2:00am and 5:00am?

  A. datehour>-2 AND date_hour
  B. earliest=-2h@h AND latest=-5h@h
  C. time_hour>-2 AND time_hour>-5
  D. earliest=2h@ AND latest=5h3h
  B. earliest=-2h@h AND latest=-5h@h

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  explanation:

  Explanation/Reference:

  To always return events from between 2:00 AM and 5:00 AM, assuming a standard time zone across the environment, the correct Splunk search syntax is earliest=-2h@h AND latest=-5h@h (Option B). This syntax uses relative time modifiers to specify a range starting 2 hours ago from the current hour (-2h@h) and ending 5 hours ago from the current hour (-5h@h), effectively capturing the desired time window.

• Question 2:

  What is the correct hierarchy of XML elements in a dashboard panel?

  B

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  explanation:

  Explanation/Reference:

  In a Splunk dashboard, the correct hierarchy of XML elements for a dashboard panel is (Option B). A Splunk dashboard is defined within the element. Within this, elements are used to organize the layout into rows, and each element within a row defines an individual panel that can contain visualizations, searches, or other content. This hierarchical structure allows for organized and customizable layouts of dashboard elements, facilitating clear presentation of data and analyses. The other options provided do not represent the correct hierarchical order for defining dashboard panels in Splunk's XML dashboard syntax.

• Question 3:

  Which of the following can be used to access external lookups?

  A. Perl and Python
  B. Python and Ruby
  C. Perl and binary executable
  D. Python and binary executable
  D. Python and binary executable

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  explanation:

  Explanation/Reference:

  Splunk supports the use of external lookups, which can be scripts or binary executables that enrich search results with external data. These external lookups can be written in various scripting languages or compiled as binary executables. Among the options given, Python and binary executables (Option D) are commonly used for creating external lookups in Splunk. Python is a widely used programming language that can easily interact with Splunk's API and data structures, and binary executables can be used for more complex or performance-critical lookup operations. Perl and Ruby (Options A and B) are less commonly used in this context, and Perl combined with binary executables (Option C) is not as standard for Splunk external lookups as Python.

• Question 4:

  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:

  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.

• Question 5:

  When using a nested search macro, how can an argument value be passed to the inner macro?

  A. The argument value may be passed to the outer macro.
  B. An argument cannot be used with an inner nested macro.
  C. An argument cannot be used with an outer nested macro.
  D. The argument value must be specified in the outer macro.
  A. The argument value may be passed to the outer macro.

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  explanation:

  Explanation/Reference:

  When using a nested search macro in Splunk, an argument value can be passed to the inner macro by specifying the argument in the outer macro's invocation (Option A). This allows the outer macro to accept arguments from the user or another search command and then pass those arguments into the inner macro, enabling dynamic and flexible macro compositions that can adapt based on input parameters.

• Question 6:

  What are the four types of event actions?

  A. stats, target, set, and unset
  B. stats, target, change, and clear
  C. eval, link, change, and clear
  D. eval, link, set, and unset
  C. eval, link, change, and clear

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  explanation:

  Explanation/Reference:

  The four types of event actions in Splunk are eval, link, change, and clear (Option C). These actions can be used in dashboard panel configurations to dynamically interact with or manipulate event data based on user inputs or other criteria. Eval is used for calculating fields, link for creating hyperlinks, change for modifying field values, and clear for removing field values or other data elements.

• Question 7:

  Which of the following would exclude all entries contained in the lookup file baditems. csv from search results?

  A. NOT [inputlookup baditems.csv]
  B. NOT (lookup baditems.csv OUTPUT item)
  C. WHERE item NOT IN (baditems.csv)
  D. [NOT inputlookup baditems.csv]
  A. NOT [inputlookup baditems.csv]

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  explanation:

  Explanation/Reference:

  The correct syntax to exclude all entries contained in the lookup file baditems.csv from search results is NOT [inputlookup baditems.csv]. This syntax uses a subsearch with the inputlookup command to retrieve the contents of the baditems.csv lookup file and then uses the NOT operator to exclude those results from the main search. This approach is efficient for filtering out unwanted data based on a predefined list of criteria stored in a lookup file.

• Question 8:

  How can the inspect button be disabled on a dashboard panel?

  A. Set inspect.link.disabled to 1
  B. Set link.inspect .visible to 0
  C. Set link.inspectSearch.visible too
  D. Set link.search.disabled to 1
  B. Set link.inspect .visible to 0

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  explanation:

  Explanation/Reference:

  To disable the inspect button on a dashboard panel in Splunk, you can set the link.inspect.visible attribute to 0 (Option B) in the panel's source code. This attribute controls the visibility of the inspect button, and setting it to 0 hides the button, preventing users from accessing the search inspector for that panel.

• Question 9:

  Which of these generates a summary index containing a count of events by productId?

  A. | stats count by productId
  B. | stats sum (productId)
  C. | sistats count by productId
  D. sistats summary_index by productid
  A. | stats count by productId

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  explanation:

  Explanation/Reference:

  To generate a summary index containing a count of events by productId, the correct search command would be | stats count by productId (Option A). This command aggregates the events by productId, counting the number of events for each unique productId value. The stats command is a fundamental Splunk command used for aggregation and summarization, making it suitable for creating summary data like counts by specific fields.

• Question 10:

  When would a distributable streaming command be executed on an Indexer?

  A. If any of the preceding search commands are executed on the search head.
  B. If all preceding search commands are executed on me indexer, and a streamstats command is used.
  C. If all preceding search commands are executed on the Indexer.
  D. If some of the preceding search commands are executed on the indexer, and a Timerchart command is used.
  C. If all preceding search commands are executed on the Indexer.

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  explanation:

  Explanation/Reference:

  A distributable streaming command would be executed on an indexer if all preceding search commands are executed on the indexer (Option C). Distributable streaming commands are designed to be executed where the data resides, reducing data transfer across the network and leveraging the processing capabilities of indexers. This enhances the overall efficiency and performance of Splunk searches, especially in distributed environments.