Splunk SPLK-1002 Online Practice Questions and Exam Preparation

Splunk SPLK-1002 Online Questions & Answers

• Question 131:

  Which of the following searches would return a report of sales by product-name?

  A. chart sales by product_name
  B. chart sum(price) as sales by product_name
  C. stats sum(price) as sales over product_name
  D. timechart list(sales), values(product_name)
  B. chart sum(price) as sales by product_name

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  Explanation/Reference:

  https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/Chart https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/Stats

• Question 132:

  How are arguments defined within the macro search string?

  A. arg$
  B. 'arg'
  C. %arg%
  D. "arg"
  A. arg$

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  Explanation/Reference:

  Arguments are defined within the macro search string by using dollar signs on either side of the argument name, such as arg1 or fragment. References Search macro examples Define search macros in Settings Use search macros in searches

• Question 133:

  When using timechart, how many fields can be listed after a by clause?

  A. because timechart doesn't support using a by clause.
  B. because _time is already implied as the x-axis.
  C. because one field would represent the x-axis and the other would represent the y-axis.
  D. There is no limit specific to timechart.
  B. because _time is already implied as the x-axis.

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  Explanation/Reference:

  The timechart command is used to create a time-series chart of statistical values based on your search results. You can use the timechart command with a by clause to split the results by one or more fields and create multiple series in the chart. However, you can only list one field after the by clause when using the timechart command because _time is already implied as the x-axis of the chart. Therefore, option B is correct, while options A, C and D are incorrect.

• Question 134:

  When using a field value variable with a Workflow Action, which punctuation mark will escape the data

  A. *
  B. !
  C. ^
  D. #
  B. !

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  Explanation/Reference:

  When using a field value variable with a Workflow Action, the exclamation mark (!) will escape the data. A Workflow Action is a custom action that performs a task when you click on a field value in your search results. A Workflow Action can be configured with various options, such as label name, base URL, URI parameters, post arguments, app context, etc. A field value variable is a placeholder for the field value that will be used to replace the variable in the URL or post argument of the Workflow Action. A field value variable is written as fieldname, where field_name is the name of the field whose value will be used. However, if the field value contains special characters that need to be escaped, such as spaces, commas, etc., you can use the exclamation mark (!) before and after the field value variable to escape the data. For example, if you have a field value variable host, you can write it as !$host! to escape any special characters in the host field value. Therefore, option B is the correct answer.

• Question 135:

  Which of the following transforming commands can be used with transactions?

  A. chart, timechart, stats, eventstats
  B. chart, timechart, stats, diff
  C. chart, timeehart, datamodel, pivot
  D. chart, timecha:t, stats, pivot
  A. chart, timechart, stats, eventstats

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  Explanation/Reference:

  The correct answer is A. chart, timechart, stats, eventstats.

  Transforming commands are commands that change the format of the search results into a table or a chart.They can be used to perform statistical calculations, create visualizations, or manipulate data in various ways. Transactions are groups of events that share some common values and are related in some way.Transactions can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf file. Some transforming commands can be used with transactions to create tables or charts based on the transaction fields. These commands include: chart: This command creates a table or a chart that shows the relationship between two or more fields.It can be used to aggregate values, count occurrences, or calculate statistics. timechart: This command creates a table or a chart that shows how a field changes over time.It can be used to plot trends, patterns, or outliers. stats: This command calculates 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. eventstats: This command calculates summary statistics on the fields in the search results, similar to stats, but it also adds the results to each event as new fields. It can be used to compare events with the overall statistics. These commands can be applied to transactions by using the transaction fields as arguments. For example, if you have a transaction type named "login" that groups events based on the user field and has fields such as duration and eventcount, you can use the following commands with transactions: | chart count by user: This command creates a table or a chart that shows how many transactions each user has. | timechart span=1h avg(duration) by user: This command creates a table or a chart that shows the average duration of transactions for each user per hour. | stats sum(eventcount) as total_events by user: This command creates a table that shows the total number of events for each user across all transactions. | eventstats avg(duration) as avg_duration: This command adds a new field named avg_duration to each transaction that shows the average duration of all transactions. The other options are not valid because they include commands that are not transforming commands or cannot be used with transactions. These commands are: diff: This command compares two search results and shows the differences between them. It is not a transforming command and it does not work with transactions. datamodel: This command retrieves data from a data model, which is a way to organize and categorize data in Splunk. It is not a transforming command and it does not work with transactions. pivot: This command creates a pivot report, which is a way to analyze data from a data model using a graphical interface. It is not a transforming command and it does not work with transactions. References: About transforming commands About transactions chart command overview timechart command overview stats command overview [eventstats command overview] [diff command overview] [datamodel command overview] [pivot command overview]

• Question 136:

  Consider the following search:

  index=web sourcetype=access_combined

  The log shows several events that share the same JSESSIONID value (SD470K92802F117). View the events as a group.

  From the following list, which search groups events by JSESSIONID?

  A. index=web sourcetype=access_combined | highlight JSESSIONID | search SD470K92802F117
  B. index=web sourcetype=access_combined | transaction JSESSIONID | search SD470K92802F117
  C. index=web sourcetype=access_combined SD470K92802F117 | table JSESSIONID
  D. index=web sourcetype=access_combined JSESSIONID
  B. index=web sourcetype=access_combined | transaction JSESSIONID | search SD470K92802F117

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  Explanation/Reference:

  To group events by JSESSIONID, the correct search is index=web sourcetype=access_combined | transaction JSESSIONID | search SD470K92802F117 (Option B). The transaction command groups events that share the same JSESSIONID value, allowing for the analysis of all events associated with a specific session as a singletransaction. The subsequent search for SD470K92802F117 filters these grouped transactions to include only those related to the specified session ID.

• Question 137:

  Which of the following statements describes the use of the Filed Extractor (FX)?

  A. The Field Extractor automatically extracts all field at search time.
  B. The Field Extractor uses PERL to extract field from the raw events.
  C. Field extracted using the Extracted persist as knowledge objects.
  D. Fields extracted using the Field Extractor do not persist and must be defined for each search.
  C. Field extracted using the Extracted persist as knowledge objects.

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  Explanation/Reference:

  The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface or by manually editing the regular expression. The FX allows you to create field extractions that persist as knowledge objects, which are entities that you create to add knowledge to your data and make it easier to search and analyze. Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs. When you create a field extraction using the FX, you can save it as a knowledge object that applies to your data at search time. You can also manage and share your field extractions with other users in your organization. Therefore, option C is correct, while options A, B and D are incorrect because they do not describe the use of the FX.

• Question 138:

  Which of the following is included with the Splunk Common Information Model (CIM) Add- on?

  A. Sourcetype definitions from the most popular technology vendors.
  B. A set of pre-configured data models.
  C. Scripted inputs to pre-align data with the CIM.
  D. Dashboards to validate data quality.
  B. A set of pre-configured data models.

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  Explanation/Reference:

  The Splunk Common Information Model (CIM) Add-on is a foundational component for many Splunk apps, providing a common framework for data normalization and field extraction. This add-on includes a set of pre-configured data models that are essential for consistent reporting, searching, and correlation across various types of data. These data models help standardize field names and event structures, ensuring that data from disparate sources can be queried in a uniform way. While the CIM Add-on facilitates the use of standardized sourcetypes and supports data validation, the primary feature it offers is the set of pre-configured data models which are crucial for maintaining consistency across different datasets.

• Question 139:

  This function of the stats command allows you to return the middle-most value of field X.

  A. Median(X)
  B. Eval by X
  C. Fields(X)
  D. Values(X)
  A. Median(X)

• Question 140:

  The timechart command buckets data in time intervals depending on:

  A. the number of events returned
  B. the selected time range
  C. the type of visualization selected
  B. the selected time range

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  Explanation/Reference:

  The timechart command buckets data in time intervals depending on the selected time range. The timechart command is similar to the chart command but it automatically groups events into time buckets based on the _time field. The size of the time buckets depends on the time range that you select for your search. For example, if you select Last 24 hours as your time range, Splunk will use 30-minute buckets for your timechart. If you select Last 7 days as your time range, Splunk will use 4-hourbuckets for your timechart. Therefore, option B is correct, while options A and C are incorrect because they are not factors that affect the size of the time buckets.