Splunk SPLK-1002 Online Practice Questions and Exam Preparation

Splunk SPLK-1002 Online Questions & Answers

• Question 121:

  Which tool uses data models to generate reports and dashboard panels without using SPL?

  A. Visualization tab
  B. Pivot
  C. Datasets
  D. splunk CIM
  B. Pivot

  ---

  Explanation/Reference:

  The correct answer is B. Pivot.

  In Splunk, Pivot is a tool that uses data models to generate reports and dashboard panels without the need for users to write or understand Splunk's Search Processing Language (SPL). Data models enable users of Pivot to create compelling

  reports and dashboards. When a Pivot user designs a pivot report, they select the data model that represents the category of event data that they want to work with. Then they select a dataset within that data model that represents the specific

  dataset on which they want to report. This makes Pivot a powerful tool for users who need to create visualizations but do not have a deep understanding of SPL.

• Question 122:

  Information needed to create a GET workflow action includes which of the following? (select all that apply.)

  A. A name of the workflow action
  B. A URI where the user will be directed at search time.
  C. A label that will appear in the Event Action menu at search time.
  D. A name for the URI where the user will be directed at search time.
  A. A name of the workflow action
  B. A URI where the user will be directed at search time.
  C. A label that will appear in the Event Action menu at search time.

  ---

  Explanation/Reference:

  Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaGETwo rkflowaction

  Information needed to create a GET workflow action includes the following: a name of the workflow action, a URI where the user will be directed at search time, and a label that will appear in the Event Action menu at search time. A GET workflow action is a type of workflow action that performs a GET request when you click on a field value in your search results. A GET workflow action can be configured with various options, such as:

  A name of the workflow action: This is a unique identifier for the workflow action that is used internally by Splunk. The name should be descriptive and meaningful for the purpose of the workflow action.

  A URI where the user will be directed at search time: This is the base URL of the external web service or application that will receive the GET request. The URI can include field value variables that will be replaced by the actual field values at search time. For example, if you have a field value variable ip, you can write it as http://example.com/ip=$ip to send the IP address as a parameter to the external web service or application.

  A label that will appear in the Event Action menu at search time: This is the display name of the workflow action that will be shown in the Event Action menu when you click on a field value in your search results. The label should be clear and concise for the user to understand what the workflow action does.

  Therefore, options A, B, and C are correct.

• Question 123:

  Which of the following searches will show the number of categoryld used by each host?

  A. Sourcetype=access_* |sum bytes by host
  B. Sourcetype=access_* |stats sum(categorylD. by host
  C. Sourcetype=access_* |sum(bytes) by host
  D. Sourcetype=access_* |stats sum by host
  B. Sourcetype=access_* |stats sum(categorylD. by host

• Question 124:

  Which of the following commands are used when creating visualizations? (select all that apply.)

  A. Geom
  B. Choropleth
  C. Geostats
  D. iplocation
  A. Geom
  C. Geostats
  D. iplocation

  ---

  Explanation/Reference:

  The following commands are used when creating visualizations: geom, geostats, and iplocation. Visualizations are graphical representations of data that show trends, patterns, or comparisons. Visualizations can have different types, such as charts, tables, maps, etc. Visualizations can be created by using various commands that transform the data into a suitable format for the visualization type. Some of the commands that are used when creating visualizations are: geom: This command is used to create choropleth maps that show geographic regions with different colors based on some metric. The geom command takes a KMZ file as an argument that defines the geographic regions and their boundaries. The geom command also takes a field name as an argument that specifies the metric to use for coloring the regions. geostats: This command is used to create cluster maps that show groups of events with different sizes and colors based on some metric. The geostats command takes a latitude and longitude field as arguments that specify the location of the events. The geostats command also takes a statistical function as an argument that specifies the metric to use for sizing and coloring the clusters. iplocation: This command is used to create location-based visualizations that show events with different attributes based on their IP addresses. The iplocation command takes an IP address field as an argument and adds some additional fields to the events, such as Country, City, Latitude, Longitude, etc. The iplocation command can be used with other commands such as geom or geostats to create maps based on IP addresses.

• Question 125:

  A calculated field is a shortcut for performing repetitive, long, or complex transformations using which of the following commands?

  A. transaction
  B. lookup
  C. stats
  D. eval
  D. eval

  ---

  Explanation/Reference:

  The correct answer is D. eval.

  A calculated field is a field that is added to events at search time by using an eval expression. A calculated field can use the values of two or more fields that are already present in the events to perform calculations. A calculated field can be defined with Splunk Web or in the props.conf file.They can be used in searches, reports, dashboards, and data models like any other extracted field. A calculated field is a shortcut for performing repetitive, long, or complex transformations using the eval command. The eval command is used to create or modify fields by using expressions.The eval command can perform mathematical, string, date and time, comparison, logical, and other operations on fields or values. For example, if you want to create a new field named total that is the sum of two fields named price and tax, you can use the eval command as follows: | eval total=price+tax However, if you want to use this new field in multiple searches, reports, or dashboards, you can create a calculated field instead of writing the eval command every time. To create a calculated field with Splunk Web, you need to go to Settings > Fields > Calculated Fieldsand enter the name of the new field (total), the name of the sourcetype (sales), and the eval expression (price+tax). This will create a calculated field named total that will be added to all events with the sourcetype sales at search time.You can then use the total field like any other extracted field without writing the eval expression. The other options are not correct because they are not related to calculated fields. These options are:

  A. transaction: This command is used to group events that share some common values into a single record, called a transaction.A transaction can span multiple events and multiple sources, and can be useful for correlating events that are

  related but not contiguous.

  B. lookup: This command is used to enrich events with additional fields from an external source, such as a CSV file or a database. A lookup can add fields to events based on the values of existing fields, such as host, source, sourcetype, or

  any other extracted field.

  C. stats: This command is used to calculate 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.

  References:

  About calculated fields

  eval command overview

  transaction command overview

  [lookup command overview]

  [stats command overview]

• Question 126:

  Which of the following knowledge objects represents the output of an eval expression?

  A. Eval fields
  B. Calculated fields
  C. Field extractions
  D. Calculated lookups
  B. Calculated fields
  C. Field extractions

  ---

  The eval command is used to create new fields or modify existing fields based on an expression. The output of an eval expression is a calculated field, which is a field that you create based on the value of another field or fields. You can use calculated fields to enrich your data with additional information or to transform your data into a more useful format. Therefore, option B is correct, while options A, C and D are incorrect because they are not names of knowledge objects that represent the output of an eval expression.

• Question 127:

  When would transaction be used instead of stats?

  A. To group events based on a single field value.
  B. To see results of a calculation.
  C. To have a faster and more efficient search.
  D. To group events based on start/end values.
  D. To group events based on start/end values.

  ---

  Explanation/Reference:

  The transaction command is used to group events that are related by some common fields or conditions, such as start/end values, time span, or pauses. The stats command is used to calculate statistics on a group of events by a common field value. References Splunk Community Splunk Transaction - Exact Details You Need

• Question 128:

  Which search would limit an "alert" tag to the "host" field?

  A. tag=alert
  B. host::tag::alert
  C. tag==alert
  D. tag::host=alert
  D. tag::host=alert

  ---

  Explanation/Reference:

  The search below would limit an "alert" tag to the "host" field.

  tag::host=alert

  The search does the following:

  It uses tag syntax to filter events by tags. Tags are custom labels that can be applied to fields or field values to provide additional context or meaning for your data. It specifies tag::host=alert as the tag filter. This means that it will only return

  events that have an "alert" tag applied to their host field or host field value. It uses an equal sign (=) to indicate an exact match between the tag and the field or field value.

• Question 129:

  How is a Search Workflow Action configured to run at the same time range as the original search?

  A. Select the "Overwrite time range with the original search" checkbox.
  B. Select the "Use the same time range as the search that created the field listing" checkbox.
  C. Set the earliest time to match the original search.
  D. Select the same time range from the time-range picker.
  B. Select the "Use the same time range as the search that created the field listing" checkbox.

  ---

  Explanation/Reference:

  To configure a Search Workflow Action to use the same time range as the original search, you need to check the option "Use the same time range as the search that created the field listing." This will ensure the time range is inherited from the

  original search.

  References:

  Splunk Docs - Search Workflow Actions

• Question 130:

  __________ datasets can be added to root dataset to narrow down the search

  A. parent
  B. extracted
  C. event
  D. child
  D. child

  ---

  Explanation/Reference:

  Child datasets can be added to root datasets to narrow down the search. Datasets are collections of events that represent your data in a structured and hierarchical way. Datasets can be created by using commands such as datamodel or pivot. Datasets can have different types, such as events, search, transaction, etc. Datasets can also have different levels, such as root or child. Root datasets are base datasets that contain all events from a data model or an index. Child datasets are derived datasets that contain a subset of events from a parent dataset based on some constraints, such as search terms, fields, time range, etc. Child datasets can be added to root datasets to narrow down the search and filter out irrelevant events.