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Splunk Core Certified Advanced Power User Sample Questions (Q76-Q81):

NEW QUESTION # 76
A report named "Linux logins" populates a summary index with the search string sourcetype=linux_secure | sitop src_ip user. Which of the following correctly searches against the summary index for this data?

A. index=summary sourcetype="linux_secure" | top src_ip user
B. index=summary search_name="Linux logins" | top src_ip user
C. index=summary search_name="Linux logins" | stats count by src_ip user
D. index=summary sourcetype="linux_secure" | stats count by src_ip user

Answer: C

Explanation:
The correct way to search against the summary index for this data is:
index=summary search_name="Linux logins" | stats count by src_ip user
Here's why this works:
* Summary Index: Summary indexes store pre-aggregated data generated by scheduled reports or saved searches. To query this data, you must specify theindex=summaryand filter by thesearch_namefield, which identifies the specific report that populated the summary index.
* Aggregation: The original search usedsitop, which is designed for summary indexing. When querying the summary index, you should usestatsto aggregate the pre-aggregated data further.
Example:
index=summary search_name="Linux logins"
| stats count by src_ip user
References:
* Splunk Documentation on Summary Indexing:https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/Usesummaryindexing
* Splunk Documentation onsitop:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/sitop

NEW QUESTION # 77
Which command calculates statistics on search results as each search result is returned?

A. streamstats
B. eventstats
C. appendpipe
D. fieldsummary

Answer: A

Explanation:
Comprehensive and Detailed Step by Step Explanation:Thestreamstatscommand calculates statistics on search resultsas each event is processed, maintaining a running total or other cumulative calculations. Unlike eventstats, which calculates statistics for the entire dataset at once,streamstatsprocesses events sequentially.
Here's why this works:
* Purpose of streamstats: This command is ideal for calculating cumulative statistics, such as running totals, averages, or counts, as events are returned by the search.
* Sequential Processing:streamstatsapplies statistical functions (e.g.,count,sum,avg) incrementally to each event based on the order of the results.
| makeresults count=5
| streamstats count as running_count
This will produce:
_time running_count
------------------- -------------
<current_timestamp> 1
<current_timestamp> 2
<current_timestamp> 3
<current_timestamp> 4
<current_timestamp> 5
Other options explained:
* Option B: Incorrect becausefieldsummarygenerates summary statistics for all fields in the dataset, not cumulative statistics.
* Option C: Incorrect becauseeventstatscalculates statistics for the entire dataset at once, not incrementally.
* Option D: Incorrect becauseappendpipeis used to append additional transformations or calculations to existing results, not for cumulative statistics.
References:
* Splunk Documentation onstreamstats:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/Streamstats
* Splunk Documentation on Statistical Commands:https://docs.splunk.com/Documentation/Splunk/latest
/SearchReference/StatisticalAggregatingCommands

NEW QUESTION # 78
Which of the following would exclude all entries contained in the lookup file baditems.csv from search results?

A. [NOT inputlookup baditems.csv]
B. NOT (lookup baditems.csv OUTPUT item)
C. NOT [inputlookup baditems.csv]
D. WHERE item NOT IN (baditems.csv)

Answer: C

Explanation:
The correct way to exclude entries from the lookup file baditems.csv is using NOT [inputlookup baditems.csv]. This syntax excludes all entries in the lookup from the main search results.

NEW QUESTION # 79
Which command processes a template for a set of related fields?

A. bin
B. untable
C. xyseries
D. foreach

Answer: D

Explanation:
The foreach command applies a processing step to each field in a set of related fields. It allows repetitive operations to be applied to multiple fields in one go, streamlining tasks across several fields.

NEW QUESTION # 80
Which of the following is true about thesummariesonly=targument of thetstatscommand?

A. Applies only to unaccelerated data models.
B. When using an unaccelerated data model, the search produces a larger result count than with summariesonly=f.
C. Applies only to accelerated data models.
D. When using an accelerated data model, the search produces a larger result count than with summariesonly=f.

Answer: C

Explanation:
Comprehensive and Detailed Step by Step Explanation:Thesummariesonly=targument of thetstats commandapplies only to accelerated data models.It ensures that the search uses only the precomputed summaries of the data model, ignoring raw data.
Here's why this works:
* Purpose of summariesonly=t: When set totrue, thetstatscommand restricts the search to use only the accelerated summaries of the data model. This improves performance but may exclude events that are not part of the summary.
* Accelerated Data Models: Acceleration creates summaries of data models, making them faster to query. Usingsummariesonly=tensures that only these summaries are queried, avoiding raw data entirely.
Other options explained:
* Option B: Incorrect becausesummariesonly=tdoes not apply to unaccelerated data models; it requires acceleration to function.
* Option C: Incorrect becausesummariesonly=tapplies only to accelerated data models, not unaccelerated ones.
* Option D: Incorrect becausesummariesonly=ttypically produces fewer results, as it excludes raw data that is not part of the summary.
Example:
| tstats count WHERE index=_internal summariesonly=t BY sourcetype
This query uses only the accelerated summaries of the_internalindex.
References:
* Splunk Documentation ontstats:https://docs.splunk.com/Documentation/Splunk/latest/SearchReference
/tstats
* Splunk Documentation on Data Model Acceleration:https://docs.splunk.com/Documentation/Splunk
/latest/Knowledge/Acceleratedatamodels

NEW QUESTION # 81
......

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SPLK-1004 Latest Study Questions | Efficient SPLK-1004: Splunk Core Certified Advanced Power User 100% Pass

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Splunk Core Certified Advanced Power User Sample Questions (Q76-Q81):

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