Splunk SPLK-1004 Online Practice Questions and Exam Preparation

Splunk SPLK-1004 Online Questions & Answers

• Question 1:

  Why use the tstats command?

  A. As an alternative to the summary command.
  B. To generate statistics on indexed fields.
  C. To generate an accelerated datamodel.
  D. To generate statistics on search-time fields.
  B. To generate statistics on indexed fields.

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  Explanation/Reference:

  The tstats command in Splunk is used to generate statistics on indexed fields, particularly from data models that have been accelerated (Option B). This command is highly efficient for summarizing large volumes of data because it operates on indexed-time summarizations rather than raw data, enabling faster search performance and reduced processing time. The tstats command is especially useful in scenarios where quick aggregation and analysis of indexed data are required, making it a powerful tool for exploring and reporting on data model information. While tstats can be seen as an alternative to some uses of the summary command (Option A), its primary utility is in its ability to leverage data model accelerations and indexed field statistics, rather than creating or referring to summary indexes. It does not specifically generate statistics on search-time fields (Option D) or create an accelerated data model (Option C), but rather it queries against existing accelerated data models.

• Question 2:

  Which of the following functions' primary purpose is to convert epoch time to a string format?

  A. tostring
  B. strptime
  C. tonumber
  D. strftime
  D. strftime

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  Explanation/Reference:

  The strftime function in Splunk is used to convert epoch time (also known as POSIX time or Unix time, which is a system for describing points in time as the number of seconds elapsed since January 1, 1970) into a human-readable string format. This function is particularly useful when formatting timestamps in search results or when creating more readable time representations in dashboards and reports. The strftime function takes an epoch time value and a format string asarguments and returns the formatted time as a string according to the specified format. The other options (tostring, strptime, and tonumber) serve different purposes: tostring converts values to strings, strptime converts string representations of time into epoch format, and tonumber converts values to numbers.

• Question 3:

  What happens to panels with post-processing searches when their base search Is refreshed?

  A. The parcels are deleted.
  B. The panels are only refreshed If they have also been configured.
  C. The panels are refreshed automatically.
  D. Nothing happens to the panels.
  C. The panels are refreshed automatically.

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  Explanation/Reference:

  When the base search of a dashboard panel with post-processing searches is refreshed, the panels with these post-processing searches are refreshed automatically (Option C). Post-processing searches inherit the scope and results of the base search, and when the base search is updated or rerun, the post-processed results are recalculated to reflect the latest data.

• Question 4:

  Why is the transaction command slow in large splunk deployments?

  A. It forces the search to run in fast mode.
  B. transaction or runs on each Indexer in parallel.
  C. It forces all event data to be returned to the search head.
  D. transaction runs a hidden eval to format fields.
  C. It forces all event data to be returned to the search head.

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  Explanation/Reference:

  The transaction command can be slow in large Splunk deployments because it requires all event data relevant to the transaction to be returned to the search head (Option C). This process can be resource-intensive, especially for transactions that span a large volume of data or time, as it involves aggregating and sorting events across potentially many indexers before the transaction logic can be applied.

• Question 5:

  What command is used la compute find write summary statistic, to a new field in the event results?

  A. tstats
  B. stats
  C. eventstats
  D. transaction
  C. eventstats

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  Explanation/Reference:

  The eventstats command in Splunk is used to compute and add summary statistics to all events in the search results, similar to the stats command, but without grouping the results into a single event(Option C). This command adds the computed summary statistics as new fields to each event, allowing those fields to be used in subsequent search operations or for display purposes. Unlike the transaction command, which groups events into transactions, eventstats retains individual events while enriching them with statistical information.

• Question 6:

  Which is a regex best practice?

  A. Use complex expressions rather than simple ones.
  B. Avoid backtracking.
  C. Use greedy operators (. *) instead of non-greedy operators (. *? ).
  D. Use * rather than +.
  B. Avoid backtracking.

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  Explanation/Reference:

  In regex (regular expressions), one of the best practices is to avoid backtracking when possible. Backtracking occurs when the regex engine revisits previous parts of the input string to attempt different permutations of the pattern, which can significantly degrade performance, especially with complex patterns on large inputs. Designing regex patterns to minimize or avoid backtracking can lead to more efficient and faster evaluations.

• Question 7:

  What file types does Splunk use to define geospatial lookups?

  A. GPX or GML files
  B. TXT files
  C. KMZ or KML files
  D. CSV files
  C. KMZ or KML files

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  Explanation/Reference:

  For defining geospatial lookups, Splunk uses KMZ or KML files (Option C). KML (Keyhole Markup Language) is an XML notation for expressing geographic annotation and visualization within Internet-based maps and Earth browsers like Google Earth. KMZ is a compressed version of KML files. These file types allow Splunk to map data points to geographic locations, enabling the creation of geospatial visualizations and analyses. GPX or GML files (Option A), TXT files (Option B), and CSV files (Option D) are not specifically used for geospatial lookups in Splunk, although CSV files are commonly used for other types of lookups.

• Question 8:

  Which of the following fields are provided by the fieldsummary command? (select all that apply)

  A. count
  B. stdev
  C. mean
  D. dc
  A. count
  D. dc

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  Explanation/Reference:

  The fieldsummary command in Splunk generates statistical summaries of fields in the search results, including the count of events that contain the field (count) and the distinct count of field values (dc). These summaries provide insights into the prevalence and distribution of fields within the dataset, which can be valuable for understanding the data's structure and content. Standard deviation (stdev) and mean (mean) are not directly provided by fieldsummary but can be calculated using other commands like stats for fields that contain numerical data.

• Question 9:

  Which statement about the coalesce function is accurate?

  A. It can take only a single argument.
  B. It can take a maximum of two arguments.
  C. It can be used to create a new field in the results set.
  D. It can return null or non-null values.
  C. It can be used to create a new field in the results set.

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  Explanation/Reference:

  The coalesce function in Splunk is used to evaluate each argument in order and return the first non-null value. This function can be used within an eval expression to create a new field in the results set, which will contain the first non-null value from the list of fields provided as arguments to coalesce. This makes it particularly useful in situations where data may be missing or inconsistently populated across multiple fields, as it allows for a fallback mechanism to ensure that some value is always presented.

• Question 10:

  What capability does a power user need to create a Log Event alert action?

  A. edit_search_server
  B. edit udp
  C. edit_tcp
  D. edit_alerts
  D. edit_alerts

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  Explanation/Reference:

  To create a Log Event alert action in Splunk, a power user needs the edit_alerts capability (Option D). This capability allows the user to configure and manage alert actions, including setting up alerts to log specific events based on predefined conditions within Splunk's alerting framework.