Splunk SPLK-1002 Practice Test - Questions Answers, Page 21

The correct answer is B. The value for the productName field because it appears first.

The coalesce function is an eval function that takes an arbitrary number of arguments and returns the first value that is not null. A null value means that the field has no value at all, while an empty value means that the field has a value, but it is '''' or zero-length1.

The coalesce function can be used to combine fields that have different names but represent the same data, such as IP address or user name. The coalesce function can also be used to rename fields for clarity or convenience2.

The syntax for the coalesce function is:

coalesce(<field1>,<field2>,...)

The coalesce function will return the value of the first field that is not null in the argument list. If all fields are null, the coalesce function will return null.

For example, if you have a set of events where the IP address is extracted to either clientip or ipaddress, you can use the coalesce function to define a new field called ip, that takes the value of either clientip or ipaddress, depending on which is not null:

| eval ip=coalesce(clientip,ipaddress)

In your example, you have a set of events where the product name is extracted to either productName or productid, and you use the coalesce function to define a new field called productINFO, that takes the value of either productName or productid, depending on which is not null:

| eval productINFO=coalesce(productName,productid)

If both productName and productid fields have values for a given event, the coalesce function will return the value of the productName field because it appears first in the argument list. The productid field will be ignored by the coalesce function.

Therefore, the value for the productName field will be used to populate the productINFO field if both fields have values for a given event.

Search Command> Coalesce

USAGE OF SPLUNK EVAL FUNCTION : COALESCE

One of the statements that would help a user choose between the transaction and stats commands is that there is a 1000 event limitation with the transaction command3.The transaction command is used to group events that share a common value for one or more fields into transactions3.The transaction command has a default limit of 1000 events per transaction, which means that it will not group more than 1000 events into a single transaction3.This limit can be changed by using the maxevents parameter, but it can affect the performance and memory usage of Splunk3. Therefore, option C is correct, while options A, B and D are incorrect because they are not statements that would help a user choose between the transaction and stats commands.

A macro is a way to save a segment of a search string as a variable and reuse it in other searches2.A macro can be followed by a pipe, which is a symbol that separates commands in a search pipeline2.A pipe may always follow a macro, regardless of who owns the macro, where the macro is defined or how the macro is shared2.For example, if you have a macro called us_sales that returns events from the US region, you can use it in a search like this:us_sales | stats sum(price) by product2.This search will use the macro to filter the events and then calculate the total price for each product2. Therefore, option A is correct, while options B, C and D are incorrect because they are not conditions that affect whether a pipe can follow a macro.

The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface or by manually editing the regular expression2.The FX allows you to create field extractions that persist as knowledge objects, which are entities that you create to add knowledge to your data and make it easier to search and analyze2.Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2.When you create a field extraction using the FX, you can save it as a knowledge object that applies to your data at search time2.You can also manage and share your field extractions with other users in your organization2. Therefore, option C is correct, while options A, B and D are incorrect because they do not describe the use of the FX.

https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/Chart

https://docs.splunk.com/Documentation/Splunk/8.1.0/SearchReference/Stats

The building block of adata model. Each data model is composed of one or more data model datasets. Each dataset within a data model defines a subset of the dataset represented by the data model as a whole.

Data model datasets have a hierarchical relationship with each other, meaning they have parent-child relationships. Data models can contain multiple dataset hierarchies. There are three types of dataset hierarchies: event, search, and transaction.

https://docs.splunk.com/Splexicon:Datamodeldataset

https://docs.splunk.com/Documentation/Splunk/8.0.2/Knowledge/CreateworkflowactionsinSplunkWeb

https://docs.splunk.com/Documentation/Splunk/8.0.2/Search/Abouttransactions

In other cases, it's usually better to use thestatscommand, which performs more efficiently, especially in a distributed environment. Often there is a unique ID in the events andstatscan be used.