TEST SPLK-1002 DUMPS.ZIP - SPLUNK SPLUNK CORE CERTIFIED POWER USER EXAM - TEST SPLK-1002 KING

Test SPLK-1002 Dumps.zip - Splunk Splunk Core Certified Power User Exam - Test SPLK-1002 King

Test SPLK-1002 Dumps.zip - Splunk Splunk Core Certified Power User Exam - Test SPLK-1002 King

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Splunk Core Certified Power User Exam Sample Questions (Q286-Q291):

NEW QUESTION # 286
Which of the following statements about data models and pivot are true? (select all that apply)

  • A. They are both knowledge objects.
  • B. Pivot allows the creation of data visualizations that present different aspects of a data model.
  • C. Data models are created out of datasets called pivots.
  • D. Pivot requires users to input SPL searches on data models.

Answer: B

Explanation:
Explanation
Data models and pivot are both knowledge objects in Splunk that allow you to analyze and visualize your data in different ways. Data models are collections of datasets that represent your data in a structured and hierarchical way. Data models define how your data is organized into objects and fields. Pivot is a user interface that allows you to create data visualizations that present different aspects of a data model. Pivot does not require users to input SPL searches on data models, but rather lets them select options from menus and forms. Data models are not created out of datasets called pivots, but rather pivots are created from datasets in data models.


NEW QUESTION # 287
Which of the following data models are included in the Splunk Common Information Model (CIM) add-on?
(select all that apply)

  • A. Alerts
  • B. Databases
  • C. Email
  • D. User permissions

Answer: A,C

Explanation:
The Splunk Common Information Model (CIM) Add-on includes a variety of data models designed to normalize data from different sources to allow for cross-source reporting and analysis. Among the data models included, Alerts (Option B) and Email (Option D) are part of the CIM. The Alerts data model is used for data related to alerts and incidents, while the Email data model is used for data pertaining to email messages and transactions. User permissions (Option A) and Databases (Option C) are not data models included in the CIM; rather, they pertain to aspects of data access control and specific types of data sources, respectively, which are outside the scope of the CIM's predefined data models.


NEW QUESTION # 288
What is the purpose of a calculated field?

  • A. To automatically add fields at search time using an eval expression rather than manually including an eval command.
  • B. To manually add and remove fields at search time related to statistical functions.
  • C. To manually add fields at search time and check for syntax errors.
  • D. To automatically add fields to the index using an eval expression rather than manually including an eval command.

Answer: A

Explanation:
A calculated field in Splunk is designed to automatically add fields at search time using an eval expression.
This feature allows users to define new fields based on existing data without needing to manually include an eval command in every search. Calculated fields simplify repeated search tasks by embedding the eval logic directly into the field configuration.
References:
* Splunk Docs: Calculated fields
* Splunk Answers: Purpose of calculated fields


NEW QUESTION # 289
A calculated field is a shortcut for performing repetitive, long, or complex transformations using which of the following commands?

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

Answer: C

Explanation:
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 field1.
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 values2.
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 Fields and 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 expression1.
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 contiguous3.
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.
Reference:
About calculated fields
eval command overview
transaction command overview
[lookup command overview]
[stats command overview]


NEW QUESTION # 290
The timechart command is an example of which of the following command types?

  • A. Transforming
  • B. Generating
  • C. Orchestrating
  • D. Statistical

Answer: A

Explanation:
The correct answer is B. Transforming.
The explanation is as follows:
The timechart command is a Splunk command that creates a time series chart with corresponding table of statistics12.
A timechart is a statistical aggregation applied to a field to produce a chart, with time used as the X-axis1. You can specify a split-by field, where each distinct value of the split-by field becomes a series in the chart1.
Transforming commands are commands that change the format of the search results into a data structure that can be easily visualized3. Transforming commands often use stats functions to aggregate and summarize data3.
Therefore, the timechart command is an example of a transforming command, as it transforms the search results into a chart and a table using stats functions123.


NEW QUESTION # 291
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