SPLK-1002 PDF, Latest SPLK-1002 Exam Topics
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Exam Details
SPLK-1002 has 65 multiple-select and multiple-choice questions that should be answered in 57 minutes, with an addition of 3 minutes that are given one to get familiar with the exam agreement. Taking this test will cost $ The applicants will be rated on a variety of knowledge areas, such as the following:
Candidates are advised to take the training courses provided by the vendor when preparing for SPLK-1002 Exam. To succeed on the first attempt, they should tackle all the lectures, hands-on sessions, and practice questions to ensure they are adequately ready.
The benefit in Obtaining the SPLK-1002 Exam Certification
Splunk Core Certified Power User will be confident and stand different from others as their skills are more trained than non-certified professionals.
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Splunk Core Certified Power User Exam Sample Questions (Q144-Q149):
NEW QUESTION # 144
What do events in a transaction have In common?
Answer: D
Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Abouttransactions
A transaction is a group of events that share some common characteristics, such as fields, time, or both. A
transaction can be created by using the transaction command or by defining an event type
withtransactiontype=true in props.conf. Events in a transaction have one or more fields in common that relate
them to each other. For example, you can create a transaction based on JSESSIONID, which is a unique
identifier for each user session in web logs. Events in a transaction do not have to have the same timestamp,
sourcetype, or exact same set of fields. They only have to share one or more fields that define the transaction.
NEW QUESTION # 145
When creating a data model, which root dataset requires at least one constraint?
Answer: B
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 assourcetype=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.
NEW QUESTION # 146
Which of the following statements about tags is true? (select all that apply.)
Answer: A,C
Explanation:
Explanation
The following statements about tags are true: tags are based on field/value pairs and tags categorize events based on a search. Tags are custom labels that can be applied to fields or field values to provide additional context or meaning for your data. Tags can be used to filter or analyze your data based on common concepts or themes. Tags can be created by using various methods, such as search commands, configuration files, user interfaces, etc. Some of the characteristics of tags are:
Tags are based on field/value pairs: This means that tags are associated with a specific field name and a specific field value. For example, you can create a tag called "alert" for the field name "status" and the field value "critical". This means that only events that have status=critical will have the "alert" tag applied to them.
Tags categorize events based on a search: This means that tags are defined by a search string that matches the events that you want to tag. For example, you can create a tag called "web" for the search string sourcetype=access_combined. This means that only events that match the search string sourcetype=access_combined will have the "web" tag applied to them.
The following statements about tags are false: tags are case-insensitive and tags are designed to make data more understandable. Tags are case-sensitive and tags are designed to make data more searchable. Tags are case-sensitive: This means that tags must match the exact case of the field name and field value that they are associated with. For example, if you create a tag called "alert" for the field name "status" and the field value
"critical", it will not apply to events that have status=CRITICAL or Status=critical. Tags are designed to make data more searchable: This means that tags can help you find relevant events or patterns in your data by using common concepts or themes. For example, if you create a tag called "web" for the search string sourcetype=access_combined, you can use tag=web to find all events related to web activity.
NEW QUESTION # 147
Consider the following search:
index=web sourcetype=access_combined
The log shows several events that share the same JSESSIONID value (SD470K92802F117). View the events as a group.
From the following list, which search groups events by JSESSIONID?
Answer: D
Explanation:
To group events by JSESSIONID, the correct search is index=web sourcetype=access_combined | transaction JSESSIONID | search SD470K92802F117 (Option B). The transaction command groups events that share the same JSESSIONID value, allowing for the analysis of all events associated with a specific session as a single transaction. The subsequent search for SD470K92802F117 filters these grouped transactions to include only those related to the specified session ID.
NEW QUESTION # 148
When using the Field Extractor (FX), which of the following delimiters will work? (select all that apply)
Answer: A,B,D
Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
https://community.splunk.com/t5/Splunk-Search/Field-Extraction-Separate-on-Colon/m-p/29751
NEW QUESTION # 149
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