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Splunk Core Certified Power User Exam Sample Questions (Q282-Q287):

NEW QUESTION # 282
Why would the following search produce multiple transactions instead of one?

The maxspan option is not included.
The transaction command has a limit of 1000 events per transaction.
The transaction and commands cannot be used together.
The stats list () function is used.

A. The maxspan option is not included1.

Answer: A

Explanation:
In Splunk, the transaction command is used to group events that share common characteristics into a single transaction1. By default, the transaction command groups all matching events into a single transaction1.
However, you can use the maxspan option to limit the time span of the transactions1. If the time span between the first and last event in a transaction exceeds the maxspan value, the transaction command will start a new transaction1.
Therefore, if the maxspan option is not included in the search, the transaction command might produce multiple transactions instead of one if the time span between the first and last event in a transaction exceeds the default maxspan value1.
Here is an example of how you can use the maxspan option in a search:
index=main sourcetype=access_combined | transaction someuniqefield maxspan=1h In this search, the transaction command groups events that share the same someuniqefield value into a single transaction, but only if the time span between the first and last event in the transaction does not exceed 1 hour1. If the time span exceeds 1 hour, the transaction command will start a new transaction1.
Explanation:
The correct answer is

NEW QUESTION # 283
Which of these stats commands will show the total bytes for each unique combination of page and server?

A. index=web | stats sum(bytes) BY page AND server
B. index=web | stats sum (bytes) BY page BY server
C. index=web | stats sum (bytes) BY page server
D. index=web | stats sum(bytes) BY values (page) values (server)

Answer: C

Explanation:
The correct command to show the total bytes for each unique combination of page and server is index=web | stats sum (bytes) BY page server. In Splunk, the stats command is used to calculate aggregate statistics over the dataset, such as count, sum, avg, etc. When using the BY clause, it groups the results by the specified fields. The correct syntax does not include commas or the word 'AND' between the field names. Instead, it simply lists the field names separated by spaces within the BY clause.
References:The usage of the stats command with the BY clause is confirmed by examples in the Splunk Community, where it's explained that stats with a by foo bar will output one row for every unique combination of the by fields1.

NEW QUESTION # 284
What is the relationship between data models and pivots?

A. Data models provide the datasets for pivots.
B. Pivots and data models have no relationship.
C. Pivots provide the datasets for data models.
D. Pivots and data models are the same thing.

Answer: A

Explanation:
The relationship between data models and pivots is that data models provide the datasets for pivots. 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. Pivots are user interfaces that allow you to create
data visualizations that present different aspects of a data model. Pivots let you select options from menus and
forms to create charts, tables, maps, etc., without writing any SPL code. Pivots use datasets from data models
as their source of data. Pivots and data models are not the same thing, as pivots are tools for visualizing data
models. Pivots do not provide datasets for data models, but rather use them as inputs.
Therefore, only statement A is true about the relationship between data models and pivots.

NEW QUESTION # 285
Which of the following statements describe the search below? (select all that apply) Index=main I transaction clientip host maxspan=30s maxpause=5s

A. The first and last events are no more than 30 seconds apart.
B. Events in the transaction occurred within 5 seconds.
C. It groups events that share the same clientip and host.
D. The first and last events are no more than 5 seconds apart.

Answer: A,B,C

NEW QUESTION # 286
Why are tags useful in Splunk?

A. Tags group related data together.
B. Tags look for less specific data.
C. Tags visualize data with graphs and charts.
D. Tags add fields to the raw event data.

Answer: A

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 level2
1: Splunk Core Certified Power User Track, page 10. 2: Splunk Documentation, About tags and aliases.

NEW QUESTION # 287
......

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