Topic 2: Questions Set 2
which of the following are valid options with the chart command?
A. useother
B. usenull
C. fillfield
D. usefiled
Which of the following knowledge objects can reference field aliases?
A. Calculated fields, lookups, event types, and tags.
B. Calculated fields and tags only.
C. Calculated fields and event types only.
D. Calculated fields, lookups, event types, and extracted fields.
Explanation: Field aliases in Splunk are alternate names assigned to fields. These can be
particularly useful for normalizing data from different sources or simply for making field
names more intuitive. Once an alias is created for a field, it can be used across various
Splunk knowledge objects, enhancing their flexibility and utility.
A. Calculated fields, lookups, event types, and tags: This is the correct answer. Field
aliases can indeed be referenced in calculated fields, lookups, event types, and tags within
Splunk. When you create an alias for a field, that alias can then be used in these
knowledge objects just like any standard field name.
Calculated fields: These are expressions that can create new field values based on
existing data. You can use an alias in a calculated field expression to refer to the
original field.
Lookups: These are used to enrich your event data by referencing external data
sources. If you've created an alias for a field that matches a field in your lookup
table, you can use that alias in your lookup configurations.
Event types: These are classifications for events that meet certain search criteria.
You can use field aliases in the search criteria for defining an event type.
Tags: These allow you to assign meaningful labels to data, making it easier to
search and report on. You can use field aliases in the search criteria that you tag.
When extracting fields, we may choose to use our own regular expressions
A. True
B. False
Which of the following commands support the same set of functions?
A. stats, eval, table
B. search, where, eval
C. stats, chart, timechart
D. transaction, chart, timechart
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 be chained together to create more complex fields.
C. Calculated fields can only be used in dashboards.
D. Calculated fields can only be used in saved reports.
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 insearches, 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 namedtotalthat sums up the values of two fields
namedpriceandtax, you can use thetotalfield to create another calculated field
nameddiscountthat applies a percentage discount to thetotalfield. To do this, you need to
define thediscountfield with an eval expression that references thetotalfield, such as:
discount = total * 0.9
This will create a new field named discount that is equal to 90% of thetotalfield value for
each event2.
The transaction command allows you to __________ events across multiple sources
A. duplicate
B. correlate
C. persist
D. tag
Explanation: The transaction command allows you to correlate events across multiple sources. The transaction command is a search command that allows you to group events into transactions based on some common characteristics, such as fields, time, or both. A transaction is a group of events that share one or more fields that relate them to each other. A transaction can span across multiple sources or sourcetypes that have different formats or structures of data. The transaction command can help you correlate events across multiple sources by using the common fields as the basis for grouping. The transaction command can also create some additional fields for each transaction, such as duration, eventcount, startime, etc.
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