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| Section | Weight | Objectives |
|---|---|---|
| Creating and Managing Fields | 10% | - Perform delimiter field extractions using the FX - Perform regex field extractions using the Field Extractor (FX) |
| Creating and Using Workflow Actions | 10% | - Create a GET workflow action - Create a POST workflow action - Create a Search workflow action - Describe the function of GET, POST, and Search workflow actions |
| Creating Field Aliases and Calculated Fields | 10% | - Describe, create, and use calculated fields - Describe, create, and use field aliases |
| Creating Tags and Event Types | 10% | - Create an event type - Describe event types and their uses - Create and use tags |
| Correlating Events | 15% | - Search with transactions - Report on transactions - Group events using fields - Determine when to use transactions vs. stats - Group events using fields and time - Identify transactions |
| Using the Common Information Model (CIM) Add-On | 10% | - Describe the use of the CIM Add-On - Describe the Splunk CIM |
| Filtering and Formatting Results | 10% | - The fillnull command - The eval command - Use the search and where commands to filter results |
| Using Transforming Commands for Visualizations | 5% | - Use the chart command - Use the timechart command |
| Creating Data Models | 10% | - Create a data model - Identify data model attributes - Describe the relationship between data models and pivot |
| Creating and Using Macros | 10% | - Define arguments and variables for a macro - Create and use a basic macro - Add and use arguments with a macro - Describe macros |
すべての人々がSPLK-1002試験に合格し、関連する認定を短時間で取得できるように、3つの異なるバージョンのSPLK-1002学習教材を設計しました。製品は、すべての人が同時に学習とテストを行うための実際の試験をシミュレートすることを試みることができ、学習コースでの学習不足に適した環境を提供することができます。当社からSPLK-1002学習教材を購入して使用すると、実際の試験のようにSPLK-1002学習テストを練習し、SPLK-1002試験に簡単に合格できます。
質問 # 118
When should transaction be used?
正解：D
質問 # 119
Which of the following can be saved as an event type?
正解：D
解説：
An event type is a classification of events based on a search query, which allows for a static set of search criteria. In this case, option A (index=server_48 sourcetype=BETA_881 code=220) represents a simple search without transforming commands (e.g., stats, inputlookup). Event types cannot include transforming commands such as stats or lookup.
Reference:
Splunk Documentation - Event Types
質問 # 120
Which of the following searches will return events containing a tag named Privileged?
正解：A
解説：
The tag=Priv* search will return events containing a tag named Privileged, as well as any other tag that starts with Priv. The asterisk (*) is a wildcard character that matches zero or more characters. The other searches will not match the exact tag name.
質問 # 121
When using timechart, how many fields can be listed after a byclause?
正解：B
解説：
Explanation/Reference: https://books.google.com.pk/books?id=7TlECgAAQBAJ&pg=PA72&lpg=PA72&dq=splunk+
+timechart+how+many+fields+can+be+listed+after+a+by
+clause&source=bl&ots=tdFvZfVkFE&sig=ACfU3U21ouOoL1ImlpUPtxysBhJ6bWakSA&hl=en&sa=X&ved=2ah UKEwiY4YXXn9fpAhWlsXEKHf8TD6YQ6AEwEHoECBUQAQ#v=onepage&q=splunk%20%20timechart%
20how%20many%20fields%20can%20be%20listed%20after%20a%20by%20clause&f=false
質問 # 122
Data model fields can be added using the Auto-Extracted method. Which of the following statements describe Auto-Extracted fields? (select all that apply)
正解：A、C、D
解説：
Auto-Extracted fields in Splunk Data Models are derived directly from the indexed data based on the existing fields within the events. These fields are identified and extracted by Splunk automatically, without the need for explicit field extractions configured by the user. Understanding the characteristics of Auto-Extracted fields is crucial for effectively managing Data Models and utilizing them in Pivot tables for analysis.
A: Auto-Extracted fields can be hidden in Pivot. This is true. When building a Data Model, you have the option to hide certain fields from appearing in Pivot, making the Pivot table cleaner and more focused on the fields that are most relevant for analysis. This helps in reducing clutter and focusing on the data that matters most to the users.
B: Auto-Extracted fields can have their data type changed. This statement is not typically accurate for Auto-Extracted fields. The data type of an Auto-Extracted field is determined by Splunk based on the field's content in the indexed data. While you can assign a type to a field when you manually create a field in a data model, the inherent data type of Auto-Extracted fields is not something that is changed within the Data Model itself.
C: Auto-Extracted fields can be given a friendly name for use in Pivot. This is correct. Within Data Models, you can assign a more user-friendly, descriptive name to an Auto-Extracted field. This feature is particularly useful in making Data Models more intuitive and easier to use for those who may not be familiar with the original field names or when the original field names are not descriptive or user-friendly.
D: Auto-Extracted fields can be added if they already exist in the dataset with constraints. This is true.
Auto-Extracted fields are based on fields that already exist in the data. When you define a dataset within a Data Model, you can apply constraints to narrow down the events that the dataset includes. The Auto-Extracted fields are then identified from this constrained dataset. This means that the fields must already be present in the data that meets the dataset's constraints to be available for auto-extraction.
In summary, Auto-Extracted fields in Splunk Data Models offer a flexible and efficient way to utilize existing data fields within Pivot tables, with options to rename them for clarity and hide unnecessary fields to streamline data analysis.
質問 # 123
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SPLK-1002練習問題集: https://www.jpntest.com/shiken/SPLK-1002-mondaishu
P.S. JPNTestがGoogle Driveで共有している無料かつ新しいSPLK-1002ダンプ：https://drive.google.com/open?id=1WkFDg2s1kZzIQ1AMAIw6Bugvle84P5ke