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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring Dashboards and Forms | 15% | - Using event handlers - Using drilldowns - Using tokens - Creating dashboards using Simple XML - Using dynamic form inputs |
| Topic 2: Exploring Alerts | 4% | - Using alert manager - Referencing alert actions - Logging and indexing searchable alert events - Understanding alert actions |
| Topic 3: Exploring Data Models | 10% | - Using pivot - Creating data models - Using data model objects - Understanding data models |
| Topic 4: Exploring Lookups | 4% | - Applying advanced lookup options - Understanding best practices for lookups - Including and excluding events based on lookup values - Using external lookups - Using geospatial lookups - Using KV Store lookups |
| Topic 5: Exploring eval Command Functions | 4% | - Using comparison and conditional functions - Using makeresults command - Using informational functions - Using text functions - Using conversion functions - Using statistical functions |
| Topic 6: Exploring Search Optimization | 10% | - Using summary indexing - Using search optimization techniques - Using tsidx files - Using report acceleration |
| Topic 7: Exploring Statistical Commands | 4% | - Using count and list functions - Performing statistical analysis with stats function - Using appendpipe - Using fieldsummary - Using eventstats - Using streamstats |
| Topic 8: Exploring Field Extractions | 10% | - Using calculated fields - Using the Field Extractor - Creating custom fields - Using field aliases |
| Topic 9: Exploring Splunk's Search Processing Language | 15% | - Using transactions - Using advanced search commands - Using tags and event types - Using workflow actions - Using search macros |
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NEW QUESTION # 69
Which of the following statements is accurate regarding the append command?
Answer: B
Explanation:
The append command in Splunk is used with a subsearch to add additional data to the end of the primary search results and can access historical data, making it useful for combining datasets from different time ranges or sources.
NEW QUESTION # 70
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:
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| 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 # 71
Which command is the opposite ofuntable?
Answer: D
Explanation:
Comprehensive and Detailed Step by Step Explanation:
Theuntablecommand in Splunk converts tabular data (rows and columns) into a format where each row represents a key-value pair. Its opposite is thechartcommand, which aggregates data into a tabular format with rows and columns.
Here's whychartis the opposite ofuntable:
* untable: This command takes structured data (e.g., a table with columnsA,B,C) and transforms it into a long format where each row contains a key-value pair (e.g.,field,value).
* chart: This command aggregates data into a structured table format, grouping data by specified fields and calculating statistics (e.g., count, sum).
Example: Usinguntable:
spl
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| untable _time field value
This converts a table into key-value pairs.
Usingchart:
spl
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| chart count by field
This aggregates data into a structured table.
Other options explained:
* Option B: Incorrect becausetablesimply selects specific fields for display but does not aggregate data likechart.
* Option C: Incorrect becausebinis used for bucketing numeric or time-based data, not for creating tables.
* Option D: Incorrect becausexyseriestransforms data into a series format but does not directly reverse the effect ofuntable.
References:
Splunk Documentation onuntable:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/untable
Splunk Documentation onchart:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference/chart
NEW QUESTION # 72
What default Splunk role can use the Log Event alert action?
Answer: B
Explanation:
In Splunk, the Admin role (Option D) has the capability to use the Log Event alert action among many other administrative privileges. The Log Event alert action allows Splunk to create an event in an index based on the triggering of an alert, providing a way to log and track alert occurrences over time. The Admin role typically encompasses a wide range of permissions, including the ability to configure and manage alert actions.
NEW QUESTION # 73
What are the four types of event actions?
Answer: C
Explanation:
The four types of event actions in Splunk are eval, link, change, and clear (Option C). These actions can be used in dashboard panel configurations to dynamically interact with or manipulate event data based on user inputs or other criteria. Eval is used for calculating fields, link for creating hyperlinks, change for modifying field values, and clear for removing field values or other data elements.
NEW QUESTION # 74
......
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