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| Section | Weight | Objectives |
|---|---|---|
| Using the Common Information Model (CIM) Add-On | 5% | - Normalize data using CIM knowledge objects - Use CIM to standardize data across sources - Describe Splunk CIM purpose and structure |
| Creating and Using Field Aliases and Calculated Fields | 10% | - Define and use field aliases - Manage field extractions and aliases - Create calculated fields with eval |
| Transforming Commands and Visualizations | 15% | - Use transforming commands to structure data - Format results for presentation - Create and customize visualizations |
| Correlating Events | 15% | - Compare transactions vs stats commands - Group events by fields and time - Identify and use transactions |
| Creating Data Models | 10% | - Understand data models and Pivot - Define data model objects and attributes - Create and use data models |
| Creating and Using Workflow Actions | 10% | - Use workflow actions to extend searches - Describe GET, POST, and Search workflow actions - Create and configure workflow actions |
| Creating Tags and Event Types | 10% | - Define event types to categorize events - Use tags and event types in searches - Create and apply tags to fields or values |
| Filtering and Formatting Results | 15% | - Use fillnull, eval, and other formatting commands - Sort, rename, and limit results - Use search and where commands |
| Using Macros | 10% | - Add and use arguments in macros - Create and reuse search macros - Manage macro permissions and sharing |
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NEW QUESTION # 128
Which of the following is a feature of the Pivot tool?
Answer: D
Explanation:
The correct answer is C. Creates reports without using SPL. This is because the Pivot tool is a feature of Splunk that allows you to report on a specific data set without using the Splunk Search Processing Language (SPL). You can use a drag-and-drop interface to design and generate pivots that present different aspects of your data in the form of tables, charts, and other visualizations. You can learn more about the Pivot tool from the Splunk documentation1 or watch a video tutorial2. The other options are incorrect because they do not describe the features of the Pivot tool. The Pivot tool requires data models and datasets to define the data that you want to work with. Data models and datasets are designed by the knowledge managers in your organization. You can learn more about data models and datasets from the Splunk documentation3. The Pivot tool does not create lookups, which are tables that match field values to other field values. You can create lookups using SPL or the Lookup Editor. You can learn more about lookups from the Splunk documentation.
NEW QUESTION # 129
What is a limitation of searches generated by workflow actions?
Answer: D
NEW QUESTION # 130
Which of the following statements about tags is true?
Answer: A
Explanation:
Tags are aliases or alternative names for field values in Splunk. They can make your data more understandable by using common or descriptive terms instead of cryptic or technical terms. For example, you can tag a field value such as "200" with "OK" or "success" to indicate that it is a HTTP status code for a successful request.
Tags are case sensitive, meaning that "OK" and "ok" are different tags. Tags are created at search time, meaning that they are applied when you run a search on your data. Tags are searched by using the syntax tag::<tagname>, where <tagname> is the name of the tag you want to search for.
NEW QUESTION # 131
Complete the search, .... | _____ failure>successes
Answer: D
Explanation:
The where command can be used to complete the search below.
... | where failure>successes
The where command is a search command that allows you to filter events based on complex or custom criteria.
The where command can use any boolean expression or function to evaluate each event and determine
whether to keep it or discard it. The where command can also compare fields or perform calculations on fields
using operators such as >, <, =, +, -, etc. The where command can be used after any transforming command
that creates a table or a chart.
The search string below does the following:
It uses ... to represent any search criteria or commands before the where command.
It uses the where command to filter events based on a comparison between two fields: failure and
successes.
It uses the greater than operator (>) to compare the values of failure and successes fields for each event.
It only keeps events where failure is greater than successes.
NEW QUESTION # 132
The timechart command is an example of which of the following command types?
Answer: C
Explanation:
The correct answer is B. Transforming.
The explanation is as follows:
The timechart command is a Splunk command that creates a time series chart with corresponding table of statistics12.
A timechart is a statistical aggregation applied to a field to produce a chart, with time used as the X-axis1.
You can specify a split-by field, where each distinct value of the split-by field becomes a series in the chart1.
Transforming commands are commands that change the format of the search results into a data structure that can be easily visualized3. Transforming commands often use stats functions to aggregate and summarize data3.
Therefore, the timechart command is an example of a transforming command, as it transforms the search results into a chart and a table using stats functions123.
NEW QUESTION # 133
......
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