What is a benefit of installing the Splunk Common Information Model (CIM) add-on?
Answer : B
It provides users with a standardized set of field names and tags to normalize data.
The Splunk CIM add-on provides a standardized set of field names and data models, which allows users to normalize and categorize data from various sources into a common format. This helps with data interoperability and enables faster, more consistent reporting and searching across different data sources.
Splunk Documentation - Common Information Model (CIM)
What happens to the original field name when a field alias is created?
Answer : A
Creating a field alias in Splunk does not modify or remove the original field. Instead, the alias allows the same data to be accessed using a different field name without affecting the original field.
How do event types help a user search their data?
Answer : D
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.
Splunk Docs - Event types
A user wants a table that will show the total revenue made for each product in each sales region. Which would be the correct SPL query to use?
Answer : B
The chart command with sum(price) by product, region will return a table where the total revenue (price) is aggregated (sum) for each product and sales region. This is the correct way to aggregate data in Splunk.
Splunk Docs - chart command
Given the following eval statement:
... | eval field1 = if(isnotnull(field1),field1,0), field2 = if(isnull(field2), "NO-VALUE", field2)
Which of the following is the equivalent using fillnull?
Answer : D
The fillnull command can be used to replace null values in specific fields. The correct equivalent expression for the given eval statement would involve using fillnull twice, once for field1 to replace null values with 0, and once for field2 to replace null values with 'NO-VALUE'.
Splunk Docs - fillnull command
Which of the following statements is true about the root dataset of a data model?
Answer : B
In Splunk, a data model's root dataset is the foundational element upon which the rest of the data model is built. The root dataset can be of various types, including search, transaction, or event-based datasets. One of the key features of the root dataset is that it automatically inherits the knowledge objects associated with its base search. These knowledge objects include field extractions, lookups, aliases, and calculated fields that are defined for the base search, ensuring that the root dataset has all necessary contextual information from the outset. This allows users to build upon this dataset with additional child datasets and objects without having to redefine the base search's knowledge objects.
To which of the following can a field alias be applied?
Answer : B
In Splunk, a field alias is used to create an alternative name for an existing field, making it easier to refer to data in a consistent manner across different searches and reports. Field aliases can be applied to both calculated fields and extracted fields. Calculated fields are those that are created using eval expressions, while extracted fields are typically those parsed from the raw data at index time or search time. This flexibility allows users to streamline their searches by using more intuitive field names without altering the underlying data. Field aliases cannot be applied to data in a lookup table, specific individual fields within a dataset, or directly to a host, source, or sourcetype.