Splunk SPLK-1002出題内容 & SPLK-1002技術内容

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Splunk SPLK-1002 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Using the Common Information Model (CIM) Add-On5%- Normalize data using CIM knowledge objects
- Use CIM to standardize data across sources
- Describe Splunk CIM purpose and structure
Topic 2: Creating Tags and Event Types10%- Define event types to categorize events
- Use tags and event types in searches
- Create and apply tags to fields or values
Topic 3: Creating Data Models10%- Understand data models and Pivot
- Define data model objects and attributes
- Create and use data models
Topic 4: Filtering and Formatting Results15%- Use fillnull, eval, and other formatting commands
- Sort, rename, and limit results
- Use search and where commands
Topic 5: Creating and Using Workflow Actions10%- Create and configure workflow actions
- Use workflow actions to extend searches
- Describe GET, POST, and Search workflow actions
Topic 6: Using Macros10%- Add and use arguments in macros
- Create and reuse search macros
- Manage macro permissions and sharing
Topic 7: Creating and Using Field Aliases and Calculated Fields10%- Create calculated fields with eval
- Define and use field aliases
- Manage field extractions and aliases
Topic 8: Correlating Events15%- Compare transactions vs stats commands
- Group events by fields and time
- Identify and use transactions
Topic 9: Transforming Commands and Visualizations15%- Format results for presentation
- Use transforming commands to structure data
- Create and customize visualizations

>> Splunk SPLK-1002出題内容 <<

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Splunk Core Certified Power User Exam 認定 SPLK-1002 試験問題 (Q13-Q18):

質問 # 13
Which of the following statements describes this search?
sourcetype=access_combined I transaction JSESSIONID | timechart avg (duration)

正解:C


質問 # 14
What is the Splunk Common Information Model (CIM)?

正解:C

解説:
The Splunk Common Information Model (CIM) provides a methodology to normalize data from different sources and source types. The CIM defines a common set of fields and tags for different types of data, such as web, network, email, etc. This allows you to search and analyze data from different sources in a consistent way.


質問 # 15
Which of the following statements about calculated fields in Splunk is true?

正解:D

解説:
Explanation
The correct answer is B. Calculated fields can be chained together to create more complex fields.
Calculated fields are fields that are added to events at search time by using eval expressions. They can be used to perform calculations with the values of two or more fields already present in those events. Calculated fields can be defined with Splunk Web or in the props.conf file. They can be used in searches, reports, dashboards, and data models like any other extracted field1.
Calculated fields can also be chained together to create more complex fields. This means that you can use a calculated field as an input for another calculated field. For example, if you have a calculated field named total that sums up the values of two fields named price and tax, you can use the total field to create another calculated field named discount that applies a percentage discount to the total field. To do this, you need to define the discount field with an eval expression that references the total field, such as:
discount = total * 0.9
This will create a new field named discount that is equal to 90% of the total field value for each event2.
References:
About calculated fields
Chaining calculated fields


質問 # 16
Where are the descriptions of the data models that come with the Splunk Common Information Model (CIM) Add-on documented?

正解:D

解説:
The descriptions of the data models that come with the Splunk Common Information Model (CIM) Add-on are documented in the CIM Add-on manual (Option B). This manual provides detailed information about the data models, including their structure, the types of data they are designed to normalize, and how they can be used to facilitate cross-sourcing reporting and analysis.


質問 # 17
What is the correct syntax to find events associated with a tag?

正解:D

解説:
Explanation
The correct syntax to find events associated with a tag is A. tag:<field>=<value>.
A tag is a way to add descriptive keywords to events based on field values. Tags can be used to filter and group events by common characteristics, such as source type, host, severity, or category1.
To search for events that have a specific tag, you need to use the tag field with the name of the field and the value of the tag as the arguments. The syntax for this is:
tag:<field>=<value>
For example, if you want to search for events that have the tag "error" for the status field, you can use the following syntax:
tag:status=error
This will return only the events that have the status field value tagged as "error".
The other options are not correct because they use different syntax or fields that are not related to tags. These options are:
B: tags=<value>: This option uses the tags field, which is a multivalue field that contains all the tags associated with an event. However, this field is not searchable by default and requires additional configuration to enable it1.
C: tags:<field>=<value>: This option uses the tags field with a colon instead of an equal sign, which is not valid syntax for searching with fields.
D: tag=<value>: This option uses the tag field without specifying the name of the field, which is not valid syntax for searching with tags.
References:
About tags
Search with tags


質問 # 18
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