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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) |
| Filtering and Formatting Results | 10% | - The fillnull command - Use the search and where commands to filter results - The eval command |
| Creating Field Aliases and Calculated Fields | 10% | - Describe, create, and use field aliases - Describe, create, and use calculated fields |
| Creating and Using Workflow Actions | 10% | - Create a POST workflow action - Describe the function of GET, POST, and Search workflow actions - Create a GET workflow action - Create a Search workflow action |
| Using Transforming Commands for Visualizations | 5% | - Use the timechart command - Use the chart command |
| Creating and Using Macros | 10% | - Define arguments and variables for a macro - Describe macros - Create and use a basic macro - Add and use arguments with a macro |
| Creating Tags and Event Types | 10% | - Create and use tags - Describe event types and their uses - Create an event type |
| Using the Common Information Model (CIM) Add-On | 10% | - Describe the use of the CIM Add-On - Describe the Splunk CIM |
| Correlating Events | 15% | - Identify transactions - Search with transactions - Report on transactions - Determine when to use transactions vs. stats - Group events using fields - Group events using fields and time |
| Creating Data Models | 10% | - Identify data model attributes - Create a data model - Describe the relationship between data models and pivot |
很多人都認為要通過一些高難度的SPLK-1002認證考試是需要精通很多Splunk專業知識。只有掌握很全面的ISplunk知識的人才會有資格去報名參加的考試。其實現在有很多方法可以幫你彌補你的知識不足的，一樣能通過SPLK-1002認證考試，也許比那些專業知識相當全面的人花的時間和精力更少，正所謂條條大路通羅馬。
問題 #122
36. Lookups can be private for a user.
答案：B
問題 #123
Which of the following objects can a calculated field use as a source?
答案：A
解題說明：
Explanation
The correct answer is B. A field added by an automatic lookup.
A calculated field is a field that is added to events at search time by using an eval expression. A calculated field can use the values of two or more fields that are already present in the events to perform calculations. A calculated field can use any field as a source, as long as the field is extracted before the calculated field is defined1.
An automatic lookup is a way to enrich events with additional fields from an external source, such as a CSV file or a database. An automatic lookup can add fields to events based on the values of existing fields, such as host, source, sourcetype, or any other extracted field2. An automatic lookup is performed before the calculated fields are defined, so the fields added by the lookup can be used as sources for the calculated fields3.
Therefore, a calculated field can use a field added by an automatic lookup as a source.
References:
About calculated fields
About lookups
Search time processing
問題 #124
Which of the following transforming commands can be used with transactions?
答案：C
解題說明：
The correct answer is A. chart, timechart, stats, eventstats.
Transforming commands are commands that change the format of the search results into a table or a chart.
They can be used to perform statistical calculations, create visualizations, or manipulate data in various ways1.
Transactions are groups of events that share some common values and are related in some way. Transactions can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf file2.
Some transforming commands can be used with transactions to create tables or charts based on the transaction fields. These commands include:
* chart: This command creates a table or a chart that shows the relationship between two or more fields. It
* can be used to aggregate values, count occurrences, or calculate statistics3.
* timechart: This command creates a table or a chart that shows how a field changes over time. It can be used to plot trends, patterns, or outliers4.
* stats: This command calculates summary statistics on the fields in the search results, such as count, sum, average, etc. It can be used to group and aggregate data by one or more fields5.
* eventstats: This command calculates summary statistics on the fields in the search results, similar to stats, but it also adds the results to each event as new fields. It can be used to compare events with the overall statistics.
These commands can be applied to transactions by using the transaction fields as arguments. For example, if you have a transaction type named "login" that groups events based on the user field and has fields such as duration and eventcount, you can use the following commands with transactions:
* | chart count by user : This command creates a table or a chart that shows how many transactions each user has.
* | timechart span=1h avg(duration) by user : This command creates a table or a chart that shows the average duration of transactions for each user per hour.
* | stats sum(eventcount) as total_events by user : This command creates a table that shows the total number of events for each user across all transactions.
* | eventstats avg(duration) as avg_duration : This command adds a new field named avg_duration to each transaction that shows the average duration of all transactions.
The other options are not valid because they include commands that are not transforming commands or cannot be used with transactions. These commands are:
* diff: This command compares two search results and shows the differences between them. It is not a transforming command and it does not work with transactions.
* datamodel: This command retrieves data from a data model, which is a way to organize and categorize data in Splunk. It is not a transforming command and it does not work with transactions.
* pivot: This command creates a pivot report, which is a way to analyze data from a data model using a graphical interface. It is not a transforming command and it does not work with transactions.
References:
* About transforming commands
* About transactions
* chart command overview
* timechart command overview
* stats command overview
* [eventstats command overview]
* [diff command overview]
* [datamodel command overview]
* [pivot command overview]
問題 #125
Which of the following statements about tags is true? (select all that apply.)
答案：B,D
解題說明：
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.
問題 #126
What functionality does the Splunk Common Information Model (CIM) rely on to normalize fields with different names?
答案：D
問題 #127
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