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When creating a data model, which root dataset requires at least one constraint?
Correct Answer: B
The correct answer is B. Root event dataset. This is because root event datasets are defined by a constraint that filters out events that are not relevant to the dataset. A constraint for a root event dataset is a simple search that returns a fairly wide range of data, such as sourcetype=access_combined. Without a constraint, a root event dataset would include all the events in the index, which is not useful for data modeling. You can learn more about how to design data models and add root event datasets from the Splunk documentation1. The other options are incorrect because root transaction datasets and root search datasets have different ways of defining their datasets, such as transaction definitions or complex searches, and root child datasets are not a valid type of root dataset.
In what order arc the following knowledge objects/configurations applied?
Correct Answer: B
[Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/WhatisSplunkknowledge, , Knowledge objects are entities that you create to add knowledge to your data and make it easier to search and analyze2. Some examples of knowledge objects are field extractions, field aliases and lookups2. Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2. Field aliases are ways to assign alternative names to existing fields without changing the original field names or values2. Lookups are ways to enrich your data with additional information from external sources such as CSV files or databases2. The order in which these knowledge objects/configurations are applied is as follows: field extractions, field aliases and then lookups2. This means that Splunk first extracts fields from your raw data, then applies any aliases to the extracted fields and then performs any lookups on the aliased fields2. Therefore, option B is correct, while options A, C and D are incorrect., , , , , ]
When using the Field Extractor (FX) to perform a field extraction, which delimiter can be used?
Correct Answer: D
When using the Field Extractor (FX) in Splunk to perform field extraction, any consistent character can be used as a delimiter. The Field Extractor allows users to define how fields are separated in the raw event data, and as long as the delimiter is consistent, the FX tool can parse and extract the fields correctly.
Which of the following statements describe calculated fields? (select all that apply)
Calculated fields can be used in the search bar.
Calculated fields can be based on an extracted field.
Calculated fields can only be applied to host and sourcetype.
Calculated fields are shortcuts for performing calculations using the eval command.
Correct Answer: A
[Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/definecalcfields, , Calculated fields are fields that are created by performing calculations on existing fields using the eval command. Calculated fields can be used in the search bar to filter and transform events based on the calculated values. Calculated fields can also be based on an extracted field, which is a field that is extracted from raw data using various methods, such as regex, delimiters, lookups, etc. Calculated fields are not shortcuts for performing calculations using the eval command, but rather results of performing calculations using the eval command. Calculated fields can be applied to any field in Splunk, not only host and sourcetype., Therefore, statements A, B, and D are true about calculated fields., , , , , ]
Which SPL query will group results that occur within 15 seconds of each other by user and host?
Correct Answer: D
The transaction command groups related events based on shared field values. The maxspan argument specifies the maximum time span allowed between the earliest and latest events in a transaction.
Extract: “Use the maxspan argument to specify the maximum duration of a transaction. Events that exceed this time span are not grouped into the same transaction.”
Therefore, transaction user host maxspan=15s groups events by user and host only when they occur within 15 seconds of each other.