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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring Dashboards and Forms | 15% | - Using event handlers - Using drilldowns - Creating dashboards using Simple XML - Using dynamic form inputs - Using tokens |
| Topic 2: Exploring Alerts | 4% | - Using alert manager - Referencing alert actions - Understanding alert actions - Logging and indexing searchable alert events |
| Topic 3: Exploring Splunk's Search Processing Language | 15% | - Using search macros - Using workflow actions - Using tags and event types - Using advanced search commands - Using transactions |
| Topic 4: Exploring eval Command Functions | 4% | - Using comparison and conditional functions - Using makeresults command - Using conversion functions - Using informational functions - Using text functions - Using statistical functions |
| Topic 5: Exploring Field Extractions | 10% | - Creating custom fields - Using field aliases - Using the Field Extractor - Using calculated fields |
| Topic 6: Exploring Search Optimization | 10% | - Using tsidx files - Using search optimization techniques - Using report acceleration - Using summary indexing |
| Topic 7: Exploring Data Models | 10% | - Using pivot - Using data model objects - Creating data models - Understanding data models |
| Topic 8: Exploring Lookups | 4% | - Including and excluding events based on lookup values - Using geospatial lookups - Using external lookups - Using KV Store lookups - Applying advanced lookup options - Understanding best practices for lookups |
| Topic 9: Exploring Statistical Commands | 4% | - Using fieldsummary - Using streamstats - Using appendpipe - Using count and list functions - Using eventstats - Performing statistical analysis with stats function |
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NEW QUESTION # 22
Repeating JSON data structures within one event will be extracted as what type of fields?
Answer: C
Explanation:
Repeating JSON data structures within a single event in Splunk are extracted as multivalue fields (Option C).
Multivalue fields allow a single field to contain multiple distinct values, which is common with JSON data structures that include arrays or repeated elements. Splunk's field extraction capabilities automatically recognize and parse these structures, allowing users to work with each value within the multivalue field for analysis and reporting
NEW QUESTION # 23
Which search generates a field with a value of "hello"?
Answer: D
Explanation:
The correct search to generate a field with a value of"hello"is:
Copy
1
| makeresults | eval field="hello"
Here's why this works:
* makeresults: This command creates a single event with no fields.
* eval: Theevalcommand is used to create or modify fields. In this case, it creates a new field namedfield and assigns it the value"hello".
Example:
| makeresults
| eval field="hello"
This will produce a result like:
_time field
------------------- -----
<current_timestamp> hello
References:
Splunk Documentation onmakeresults:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/Makeresults
Splunk Documentation oneval:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/Eval
NEW QUESTION # 24
Which is a regex best practice?
Answer: B
Explanation:
One of the best practices in regex is to avoid backtracking, which can degrade performance by revisiting parts of the input multiple times. Optimizing regex patterns to prevent unnecessary backtracking improves efficiency, especially when dealing with large datasets.
NEW QUESTION # 25
Which is a regex best practice?
Answer: A
Explanation:
In regex (regular expressions), one of the best practices is to avoid backtracking when possible. Backtracking occurs when the regex engine revisits previous parts of the input string to attempt different permutations of the pattern, which can significantly degrade performance, especially with complex patterns on large inputs.
Designing regex patterns to minimize or avoid backtracking can lead to more efficient and faster evaluations.
NEW QUESTION # 26
What is the recommended way to create a field extraction that is both persistent and precise?
Answer: A
Explanation:
The recommended way to create a field extraction that is both persistent and precise is to use the Field Extractor and manually edit the generated regular expression. This ensures accuracy and allows for customization beyond the automatically generated regex.
NEW QUESTION # 27
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