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Splunk Core Certified Power User Exam Sample Questions (Q49-Q54):

NEW QUESTION # 49
Which of the following statements about calculated fields in Splunk is true?

A. Calculated fields cannot be chained together to create more complex fields
B. Calculated fields can only be used in saved reports.
C. Calculated fields can be chained together to create more complex fields.
D. Calculated fields can only be used in dashboards.

Answer: C

Explanation:
The correct answer is B. Calculated fields can be chained together to create more complex fields.
Calculated fields are fields that are added to events at search time by using eval expressions. They can be used to perform calculations with the values of two or more fields already present in those events. Calculated fields 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.
Calculated fields can also be chained together to create more complex fields. This means that you can use a calculated field as an input for another calculated field. For example, if you have a calculated field named total that sums up the values of two fields named price and tax, you can use the total field to create another calculated field named discount that applies a percentage discount to the total field. To do this, you need to define the discount field with an eval expression that references the total field, such as:
discount = total * 0.9
This will create a new field named discount that is equal to 90% of the total field value for each event2.
Reference:
About calculated fields
Chaining calculated fields

NEW QUESTION # 50
Which of the following statements about tags is true? (select all that apply.)

A. Tags categorize events based on a search.
B. Tags are based on field/vale pairs.
C. Tags are designed to make data more understandable.
D. Tags are case-insensitive.

Answer: B,C

Explanation:
Explanation
The following statements about tags are true: tags are based on field/value pairs and tags categorize events based on a search. Tags are custom labels that can be applied to fields or field values to provide additional context or meaning for your data. Tags can be used to filter or analyze your data based on common concepts or themes. Tags can be created by using various methods, such as search commands, configuration files, user interfaces, etc. Some of the characteristics of tags are:
Tags are based on field/value pairs: This means that tags are associated with a specific field name and a specific field value. For example, you can create a tag called "alert" for the field name "status" and the field value "critical". This means that only events that have status=critical will have the "alert" tag applied to them.
Tags categorize events based on a search: This means that tags are defined by a search string that matches the events that you want to tag. For example, you can create a tag called "web" for the search string sourcetype=access_combined. This means that only events that match the search string sourcetype=access_combined will have the "web" tag applied to them.
The following statements about tags are false: tags are case-insensitive and tags are designed to make data more understandable. Tags are case-sensitive and tags are designed to make data more searchable. Tags are case-sensitive: This means that tags must match the exact case of the field name and field value that they are associated with. For example, if you create a tag called "alert" for the field name "status" and the field value
"critical", it will not apply to events that have status=CRITICAL or Status=critical. Tags are designed to make data more searchable: This means that tags can help you find relevant events or patterns in your data by using common concepts or themes. For example, if you create a tag called "web" for the search string sourcetype=access_combined, you can use tag=web to find all events related to web activity.

NEW QUESTION # 51
Which of the following describes the Splunk Common Information Model (CIM) add-on?

A. The CIM add-on contains dashboards that show how to map data.
B. The CIM add-on contains data models to help you normalize data.
C. The CIM add-on uses machine learning to normalize data.
D. The CIM add-on is automatically installed in a Splunk environment.

Answer: B

Explanation:
The Splunk Common Information Model (CIM) add-on is a Splunk app that contains data models to help you normalize data from different sources and formats. The CIM add-on defines a common and consistent way of naming and categorizing fields and events in Splunk. This makes it easier to correlate and analyze data across different domains, such as network, security, web, etc. The CIM add-on does not use machine learning to normalize data, but rather relies on predefined field names and values. The CIM add-on does not contain dashboards that show how to map data, but rather provides documentation and examples on how to use the data models. The CIM add-on is not automatically installed in a Splunk environment, but rather needs to be downloaded and installed from Splunkbase.

NEW QUESTION # 52
How do event types help a user search their data?

A. Event types categorize events based on a search string.
B. Event types improve search performance.
C. Event types improve dashboard performance.
D. Event types can optimize data storage.

Answer: A

Explanation:
Event types allow users to assign labels to events based on predefined search strings. This helps categorize data and makes it easier to reference specific sets of events in future searches.
Reference:
Splunk Docs - Event types

NEW QUESTION # 53
When creating a Search workflow action, which field is required?

A. An eval statement
B. Data model name
C. Search string
D. Permission setting

Answer: D

NEW QUESTION # 54
......

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