SPLK-1002日本語版トレーリング & SPLK-1002資格認証攻略

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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Tags and Event Types	10%	- Knowledge objects 1. Create and use tags 2. Event types usage 3. Create event types
Topic 2: Common Information Model (CIM)	10%	- Data normalization 1. Purpose of CIM 2. Using CIM add-ons 3. Data normalization techniques
Topic 3: Workflow Actions	10%	- Workflow action types 1. GET workflow actions 2. POST workflow actions 3. Search workflow actions
Topic 4: Data Models	10%	- Data model concepts 1. Data model attributes 2. Pivot usage 3. Create data models 4. Data model structure
Topic 5: Correlating Events	15%	- Event correlation techniques 1. Report on transactions 2. Identify transactions 3. When to use transactions vs stats 4. Search with transactions 5. Group events using fields 6. Group events using fields and time
Topic 6: Field Aliases and Calculated Fields	10%	- Field enrichment 1. Calculated fields 2. Field aliases
Topic 7: Creating and Managing Fields	10%	- Field extraction methods 1. Delimiter field extraction using Field Extractor (FX) 2. Regex field extraction using Field Extractor (FX)
Topic 8: Using Transforming Commands for Visualizations	5%	- Visualization commands 1. chart command 2. timechart command
Topic 9: Filtering and Formatting Results	10%	- Search and evaluation commands 1. where command 2. eval command 3. search command 4. fillnull command
Topic 10: Macros	10%	- Search macros 1. Create and use basic macros 2. Macros with arguments

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SPLK-1002資格認証攻略、SPLK-1002専門トレーリング

SPLK-1002試験問題は、専門家によって編集され、長年の経験を持つ専門家によって承認されています。言語は理解しやすいため、学習者に障害はありません。SplunkのSPLK-1002ガイド急流は誰にでも適しています。コンテンツは習得が容易であり、重要な情報を簡素化しました。 SPLK-1002テストトレントは、より重要な情報を少ない質問と回答で伝え、学習をリラックスして効率的にします。 SPLK-1002試験問題を使用すると、SPLK-1002試験に簡単に合格できます。

Splunk Core Certified Power User Exam 認定 SPLK-1002 試験問題 (Q239-Q244):

質問 # 239
Calculated fields can be based on which of the following?

A. Fields generated from a search string
B. Tags
C. Extracted fields
D. Output fields for a lookup

正解：C

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

質問 # 240
In most large Splunk environments, what is the most efficient command that can be used to group events by
fields/

A. join
B. transaction
C. stats
D. streamstats

正解：C

解説：
https://docs.splunk.com/Documentation/Splunk/8.0.2/Search/Abouttransactions
In other cases, it's usually better to use the stats command, which performs more efficiently, especially in a
distributed environment. Often there is a unique ID in the events and stats can be used.

質問 # 241
What approach is recommended when using the Splunk Common Information Model (CIM) add-on to
normalize data?

A. Run a search using the correlation command.
B. Run a search using the authentication command.
C. Consult the CIM event type reference tables.
D. Consult the CIM data model reference tables.

正解：D

解説：
The recommended approach when using the Splunk Common Information Model (CIM) add-on to normalize
data is A. Consult the CIM data model reference tables. This is because the CIM data model reference tables
provide detailed information about the fields and tags that are expected for each dataset in a data model. By
consulting the reference tables, you can determine which data models are relevant for your data source and
how to map your data fields to the CIM fields. You can also use the reference tables to validate your data and
troubleshoot any issues with normalization.You can find the CIM data model reference tables in the Splunk
documentation1or in the Data Model Editor page in Splunk Web2. The other options are incorrect because
they are not related to the CIM add-on or data normalization. The authentication command is a custom
command that validates events against the Authentication data model, but it does not help you to normalize
other types of data. The correlation command is a search command that performs statistical analysis on event
fields, but it does not help you to map your data fields to the CIM fields. The CIM event type reference tables
do not exist, as event types are not part of the CIM add-on.

質問 # 242
How is a Search Workflow Action configured to run at the same time range as the original search?

A. Select the same time range from the time-range picker.
B. Select the "Use the same time range as the search that created the field listing" checkbox.
C. Set the earliest time to match the original search.
D. Select the "Overwrite time range with the original search" checkbox.

正解：B

解説：
Explanation
To configure a Search Workflow Action to run at the same time range as the original search, you need to select the "Use the same time range as the search that created the field listing" checkbox. This will ensure that the workflow action search uses the same earliest and latest time parameters as the original search.

質問 # 243
Consider the following search:
index=web sourcetype=access_corabined
The log shows several events that share the same jsesszonid value (SD462K101O2F267). View the events as a group.
From the following list, which search groups events by jSSESSIONID?

A. index=web sourcetype=access_combined JSESSTONID <SD4€2K101O2F267>
B. index=web sourcetype=access_combined I transaction JSESSZONID I search SD462K101C2F267
C. index=web sourcetype=access_combined | highlight JSESSIONID | search SD462K101O2F267
D. index=web sourcetype=access_combined SD462K101O2F267 | table JSESSIONID

正解：B

解説：
The transaction command groups events that share a common value in a specified field, such as JSESSIONID, and that occur within a specified time range. The search command filters the results to show only the events that match the given value of JSESSIONID. This search groups the events by JSESSIONID and then shows only the events that have the value SD462K101C2F267 for JSESSIONID2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, transaction command.

質問 # 244
......

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