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SPLK-1002 Practice Questions

Question # 1
Data model are composed of one or more of which of the following datasets? (select all that apply.)
A. Events datasets
B. Search datasets
C. Transaction datasets
D. Any child of event, transaction, and search datasets


A. Events datasets
B. Search datasets
C. Transaction datasets

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. Data models can be composed of one or more of the following datasets:
Events datasets: These are the base datasets that represent raw events in Splunk. Events datasets can be filtered by constraints, such as search terms, sourcetypes, indexes, etc.
Search datasets: These are derived datasets that represent the results of a search on events or other datasets. Search datasets can use any search command, such as stats, eval, rex, etc., to transform the data.
Transaction datasets: These are derived datasets that represent groups of events that are related by fields, time, or both. Transaction datasets can use the transaction command or event types with transactiontype=true to create transactions.

Question # 2
What does the following search do?
A. Creates a table of the total count of users and split by corndogs.
B. Creates a table of the total count of mysterymeat corndogs split by user.
C. Creates a table with the count of all types of corndogs eaten split by user.
D. Creates a table that groups the total number of users by vegetarian corndogs.


B. Creates a table of the total count of mysterymeat corndogs split by user.

Explanation: The search string below creates a table of the total count of mysterymeat corndogs split by user.
| stats count by user | where corndog=mysterymeat
The search string does the following:
It uses the stats command to calculate the count of events for each value of the user field. The stats command creates a table with two columns: user and count.
It uses the where command to filter the results by the value of the corndog field.
The where command only keeps the rows where corndog equals mysterymeat.
Therefore, the search string creates a table of the total count of mysterymeat corndogs split by user.

Question # 3
What are the expected search results from executing the following SPL command?
index=network NOT StatusCode=200
A. Every event in the network index that does not have a value in this field.
B. Every event in the network index that does not contain a StatusCode of 200 and excluding events that do not have a value in this field.
C. Every event in the network index that does not contain a StatusCode of 200, including events that do not have a value in this field.
D. No results as the syntax is incorrect, the != field expression needs to be used instead of the NOT operator.


C. Every event in the network index that does not contain a StatusCode of 200, including events that do not have a value in this field.

Explanation: In Splunk, the NOT operator is used to exclude events from your search results. The search index=network NOT StatusCode=200 will return all events in the ‘network’ index where the StatusCode is not 200. This includes events where the StatusCode field is present and has a value other than 200, as well as events where the StatusCode field is not present at all.

Question # 4
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:
The correct answer isB. Pivot1.
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)1.Data models enable users of Pivot to create compelling reports and dashboards1.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 with1.Then they select a dataset within that data model that represents the specific dataset on which they want to report1.This makes Pivot a powerful tool for users who need to create visualizations but do not have a deep understanding of SPL1.

Question # 5
Which of the following about reports is/are true?
A. Reports are knowledge objects.
B. Reports can be scheduled.
C. Reports can run a script
D. All of the above


D. All of the above

Explanation: A report is a way tosave a search and its results in a format that you can reuse and share with others2. A report is also a type of knowledge object, which is an entity that you create to add knowledge to your data and make it easier to search and analyze2. Therefore, option A is correct. A report can be scheduled, which means that you can configure it to run at regular intervals and send the results to yourself or others via email or other methods2. Therefore, option B is correct. A report canrun a script, which means that you can specify a script file to execute when the report runs and use it to perform custom actions or integrations2. Therefore, option C is correct. Therefore, option D is correct because all of the above statements are true for reports.

Question # 6
During the validation step of the Field Extractor workflow:
Select your answer.
A. You can remove values that aren't a match for the field you want to define
B. You can validate where the data originated from
C. You cannot modify the field extraction


A. You can remove values that aren't a match for the field you want to define

Explanation: During the validation step of the Field Extractor workflow, you can remove values that aren’t a match for the field you want to define2. The validation step allows you to review and edit the values that have been extracted by the FX and make sure they are correct and consistent2. You can remove values thataren’t a match by clicking on them and selecting Remove Value from the menu2. This will excludethem from your field extraction and update the regular expression accordingly2. Therefore, option A is correct, while options B and C are incorrect because they are not actions that you can perform during the validation step of the Field Extractor workflow.

Question # 7
Why are tags useful in Splunk?
A. Tags look for less specific data.
B. Tags visualize data with graphs and charts.
C. Tags group related data together.
D. Tags add fields to the raw event data.


C. Tags group related data together.

Explanation: Tags are a type of knowledge object that enable you to assign descriptive keywords to events based on the values of their fields. Tags can help you to search more efficiently for groups of event data that share common characteristics, such as functionality, location, priority, etc. For example, you can tag all the IP addresses of your routers as router, and then search for tag=router to find all the events related to your routers. Tags can also help you to normalize data from different sources by using the same tag name for equivalent field values. For example, you can tag the field values error, fail, and critical as severity=high, and then search for severity=high to find all the events with high severity level.

Question # 8
Which of the following statements describes the command below (select all that apply)
Sourcetype=access_combined | transaction JSESSIONID
A. An additional filed named maxspan is created.
B. An additional field named duration is created.
C. An additional field named eventcount is created.
D. Events with the same JSESSIONID will be grouped together into a single event.


B. An additional field named duration is created.
C. An additional field named eventcount is created.
D. Events with the same JSESSIONID will be grouped together into a single event.

Explanation: The command sourcetype=access_combined | transaction JSESSIONID does three things:
It filters the events by the sourcetype access_combined, which is a predefined sourcetype for Apache web server logs.
It groups the events by the field JSESSIONID, which is a unique identifier for each user session.
It creates a single event from each group of events that share the same JSESSIONID value. This single event will have some additional fields created by the transaction command, such as duration, eventcount, and startime.
Therefore, the statements B, C, and D are true.

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