Splunk SPLK-1002 Real Exam Questions Test Engine Dumps Training With 308 Questions [Q93-Q108]

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Splunk SPLK-1002 Real Exam Questions Test Engine Dumps Training With 308 Questions

SPLK-1002 Actual Questions Answers PDF 100% Cover Real Exam Questions

NO.93 The iplocation and geostats command can be used together.

True

False

NO.94 Which of the following statements is true, especially in large environments?

Use the scats command when you next to group events by two or more fields.

The stats command is faster and more efficient than the transaction command

The transaction command is faster and more efficient than the stats command.

Use the transaction command when you want to see the results of a calculation.

Reference:
https://answers.splunk.com/answers/103/transaction-vs-stats-commands.html

NO.95 Selected fields are displayed ______each event in the search results.

below

interesting fields

other fields

above

Explanation
Selected fields are fields that you choose to display in your search results by clicking on them in the Fields sidebar or by using the fields command2. Selected fields are displayed below each event in the search results, along with their values2. Therefore, option A is correct, while options B, C and D are incorrect because they are not places where selected fields are displayed.

NO.96 Which statement is true?

Pivot is used for creating datasets.

Data model are randomly structured datasets.

Pivot is used for creating reports and dashboards.

In most cases, each Splunk user will create their own data model.

NO.97 What is needed to define a calculated field?

Eval expression

Data model

Event type

Regular expression

A calculated field in Splunk is created using an eval expression, which allows users to perform calculations or transformations on field values during search time.
Reference:
Splunk Docs – Calculated fields

NO.98 When using| timechart by host, which field is represented in the x-axis?

date

host

time

_time

Reference:https://docs.splunk.com/Documentation/Splunk/8.0.4/SearchReference/Timechart

NO.99 Which of the following statements describes field aliases?

Field alias names replace the original field name.

Field aliases can be used in lookup file definitions.

Field aliases only normalize data across sources and sourcetypes.

Field alias names are not case sensitive when used as part of a search.

Explanation
Field aliases are alternative names for fields in Splunk. Field aliases can be used to normalize data across different sources and sourcetypes that have different field names for the same concept. For example, you can create a field alias for src_ip that maps to clientip, source_address, or any other field name that represents the source IP address in different sourcetypes. Field aliases can also be used in lookup file definitions to map fields in your data to fields in the lookup file. For example, you can use a field alias for src_ip to map it to ip_address in a lookup file that contains geolocation information for IP addresses. Field alias names do not replace the original field name, but rather create a copy of the field with a different name. Field alias names are case sensitive when used as part of a search, meaning that src_ip and SRC_IP are different fields.

NO.100 Which one of the following statements about the search command is true?

It does not allow the use of wildcards.

It treats field values in a case-sensitive manner.

It can only be used at the beginning of the search pipeline.

It behaves exactly like search strings before the first pipe.

Reference:
https://docs.splunk.com/Documentation/SplunkCloud/8.0.2003/Search/Usethesearchcommand

NO.101 Two separate results tables are being combined using the |join command. The outer table has the following values:
Refer to following Tables

The line of SPL used to join the tables is: | join employeeNumber type=outer How many rows are returned in the new table?

Zero

Five

Eight

Three

When performing an outer join in Splunk using the | join employeeNumber type=outer command, it combines the rows from both tables based on the employeeNumber field. An outer join returns all rows from both tables, with matching rows from both sides where available. If there is no match, the result is NULL on the side of the join where there is no match.
In the provided tables, there are five rows in the first table and three in the second. Since it’s an outer join, all rows from both tables will be returned. This means the new table will have a total of eight rows, combining the matched rows and the unmatched rows from both tables.
References:
Splunk Documentation on the join command.
Splunk Community discussions on the usage of join and types of joins.

NO.102 Which of the following eval command functions is valid?

int()

count()

print()

tostring()

Explanation
https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/CommonEvalFunctions The eval command function tostring() is valid. The tostring() function converts a numeric value to a string value. For example, tostring(3.14) returns “3.14”. The other functions are not valid eval command functions.

NO.103 For choropleth maps,splunk ships with the following KMZ files (select all that apply)

States of the United States

States and provinces of the united states and Canada

Countries of the European Union

Countries of the World

NO.104 When performing a regex field extraction with the Field Extractor (FX), a data type must be chosen before a sample event can be selected. Which of the following data types are supported?

index or source

sourcetype or host

index or sourcetype

sourcetype or source

When using the Field Extractor (FX) in Splunk for regex field extraction, it’s important to select the context in which you want to perform the extraction. The context is essentially the subset of data you’re focusing on for your field extraction task.
D: Sourcetype or source: This is the correct option. In the initial steps of using the Field Extractor tool, you’re prompted to choose a data type for your field extraction. The options available are typically based on the nature of your data and how it’s organized in Splunk. “Sourcetype” refers to the kind of data you’re dealing with, a categorization that helps Splunk apply specific processing rules. “Source” refers to the origin of the data, like a specific log file or data input. By selecting either a sourcetype or source, you’re narrowing down the dataset on which you’ll perform the regex extraction, making it more manageable and relevant.

NO.105 Which of the following statements describes macros?

A macro is a reusable search string that must contain the full search.

A macro is a reusable search string that must have a fixed time range.

A macro Is a reusable search string that may have a flexible time range.

A macro Is a reusable search string that must contain only a portion of the search.

Reference:
https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Definesearchmacros

NO.106 A user wants to create a new field alias for a field that appears in two sourcetypes.
How many field aliases need to be created?

One.

Two.

It depends on whether the original fields have the same name.

It depends on whether the two sourcetypes are associated with the same index.

NO.107 What are the two parts of a root event dataset?

Fields and variables.

Fields and attributes.

Constraints and fields.

Constraints and lookups.

Reference:
A root event dataset is the base dataset for a data model that defines the source or sources of the data and the constraints and fields that apply to the data1. A root event dataset has two parts: constraints and fields1. Constraints are filters that limit the data to a specific index, source, sourcetype, host or search string1. Fields are the attributes that describe the data and can be extracted, calculated or looked up1. Therefore, option C is correct, while options A, B and D are incorrect.

NO.108 Two separate results tables are being combined using the |join command. The outer table has the following values:
Refer to following Tables

The line of SPL used to join the tables is: | join employeeNumber type=outer How many rows are returned in the new table?