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| Section | Weight | Objectives |
|---|---|---|
| Common Information Model (CIM) | 10% | - Data normalization
|
| Tags and Event Types | 10% | - Knowledge objects
|
| Using Transforming Commands for Visualizations | 5% | - Visualization commands
|
| Workflow Actions | 10% | - Workflow action types
|
| Creating and Managing Fields | 10% | - Field extraction methods
|
| Field Aliases and Calculated Fields | 10% | - Field enrichment
|
| Data Models | 10% | - Data model concepts
|
| Correlating Events | 15% | - Event correlation techniques
|
| Macros | 10% | - Search macros
|
| Filtering and Formatting Results | 10% | - Search and evaluation commands
|
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NEW QUESTION # 176
The timechart command is an example of which of the following command types?
Answer: A
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 # 177
When using the Field Extractor (FX), which of the following delimiters will work? (select all that apply)
Answer: A,B,C
Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
https://community.splunk.com/t5/Splunk-Search/Field-Extraction-Separate-on-Colon/m-p/29751
NEW QUESTION # 178
Which of the following statements describe the search string below?
| datamodel Application_State All_Application_State search
Answer: C
NEW QUESTION # 179
Which is not a comparison operator in Splunk
Answer: A
Explanation:
Explanation
A comparison operator is a symbol that compares two values and returns a Boolean result (true or false)2. Splunk supports various comparison operators such as <, >, =, !=, <=, >=, IN and LIKE2. However,
?= is not a valid comparison operator in Splunk and will cause a syntax error if used in a search string2.
Therefore, option E is correct, while options A, B, C and D are incorrect because they are valid comparison operators in Splunk
NEW QUESTION # 180
What are the two parts of a root event dataset?
Answer: B
Explanation:
Reference: https://docs.splunk.com/Documentation/SplunkLight/7.3.5/GettingStarted/Designdatamodelobjects A root event dataset is the base dataset for a data model that defines the source or sources of the data and the constraints and fields that apply to the data1. A root event dataset has two parts: constraints and fields1. Constraints are filters that limit the data to a specific index, source, sourcetype, host or search string1. Fields are the attributes that describe the data and can be extracted, calculated or looked up1.
Therefore, option C is correct, while options A, B and D are incorrect.
NEW QUESTION # 181
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