SPLK-1002 Exam Dumps

272 Questions


Last Updated On : 24-Feb-2025



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Topic 2: Questions Set 2

When using | timchart by host, which filed is representted in the x-axis?


A. date


B. host


C. time


D. -time





A.
  date

What information must be included when using the data model command?


A. status field


B. Multiple indexes


C. Data model field name


D. Data model dataset name





D.
  Data model dataset name

What is the purpose of the fillnull command?


A. Replace empty values with a specified value.


B. Create a new field based on the values in an existing field.


C. Rename a specific field in the search results.


D. Replace all values in a specific field with a default value.





A.
  Replace empty values with a specified value.

Explanation:
Thefillnullcommand in Splunk is used to handle missing data within search results. It plays a crucial role in data normalization and preparation, especially before performing statistical analyses or visualizations.
A.Replace empty values with a specified value:This is the correct answer. Thefillnull command is specifically designed to replace null values (empty values) with a specified default value. This is particularly useful in ensuring consistency within your data, especially when performing operations that require numerical values or when you want to distinguish between genuinely missing data and zeroes, for instance.
Example Usage:... | fillnull value=0This command would replace all null values in the search results with 0.

When creating a data model, which root dataset requires at least one constraint?


A. Root transaction dataset


B. Root event dataset


C. Root child dataset


D. Root search dataset





B.
  Root event dataset

Explanation: 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.

What are search macros?


A. Lookup definitions in lookup tables


B. Reusable pieces of search processing language


C. A method to normalize fields


D. Categories of search results.





B.
  Reusable pieces of search processing language

Explanation: The correct answer isB. Reusable pieces of search processing language. The explanation is as follows:
Search macros are knowledge objects that allow you to insert chunks of SPL into other searches12.
Search macros can be any part of a search, such as an eval statement or a search term, and do not need to be a complete command12.
You can also specify whether the macro field takes any arguments and define validation expressions for them12.
Search macros can help you make your SPL searches shorter and easier to understand3.
To use a search macro in a search string, you need to put a backtick character () before and after the macro name[^1^][1]. For example,mymacro`.

A data model consists of which three types of datasets?


A. Constraint, field, value.


B. Events, searches, transactions


C. Field extraction, regex, delimited


D. Transaction, session ID, metadata.





B.
  Events, searches, transactions

Explanation: The building block of a data 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.


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