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The SPLK-1004 certification exam is aimed at professionals who have already mastered the core functionality of the Splunk platform and are looking to further expand their skills in advanced search and reporting techniques. SPLK-1004 Exam covers topics such as advanced search commands, report acceleration, advanced charting, advanced lookups, Splunk Enterprise Security, and more. Splunk Core Certified Advanced Power User certification is ideal for professionals who work with Splunk on a daily basis and are looking to improve their skills and demonstrate their expertise in the platform.
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The SPLK-1004 certification exam is intended for experienced Splunk professionals who want to demonstrate their expertise in advanced Splunk search and reporting, as well as dashboard creation and data management. Splunk Core Certified Advanced Power User certification exam covers a wide range of topics, including advanced search commands and functions, data models, event types, alerts, and macros. SPLK-1004 Exam also tests the candidate's ability to design and build complex dashboards and visualizations using Splunk's powerful features.
NEW QUESTION # 19
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?
Answer: C
Explanation:
When searching against summary data in Splunk, it's common to reference the name of the saved search or report that populated the summary index. The correct search syntax to retrieve data from the summary index populated by a report named "Linux logins" is index=summary search_name="Linux logins" | top src_ip user (Option B). This syntax uses the search_name field, which holds the name of the saved search or report that generated the summary data, allowing for precise retrieval of the intended summary data.
NEW QUESTION # 20
Which search generates a field with a value of "hello"?
Answer: C
Explanation:
To generate a field with a value of "hello" using the makeresults command in Splunk, the correct syntax is | makeresults | eval field="hello" (Option C). The makeresults command creates a single event, and the eval command is used to add a new field (named "field" in this case) with the specified value ("hello"). This is a common method for creating sample data or for demonstration purposes within Splunk searches.
NEW QUESTION # 21
How can the inspect button be disabled on a dashboard panel?
Answer: C
Explanation:
To disable the inspect button on a dashboard panel in Splunk, you can set the link.inspect.visible attribute to 0 (Option B) in the panel's source code. This attribute controls the visibility of the inspect button, and setting it to 0 hides the button, preventing users from accessing the search inspector for that panel.
NEW QUESTION # 22
When should summary indexing be used?
Answer: A
Explanation:
Comprehensive and Detailed Step by Step Explanation:Summary indexing should be used forreports that run on small datasets over long time ranges. It is particularly useful when you need to aggregate data over extended periods without querying raw events repeatedly.
Here's why this works:
* Efficiency: Summary indexing pre-aggregates data into summary indexes, reducing the amount of data that needs to be processed during runtime. This improves performance for reports that span long time ranges.
* Small Datasets: Summary indexing is most effective when working with smaller datasets because aggregating large volumes of data can become resource-intensive.
Other options explained:
* Option B: Incorrect because summary indexing is not a fallback for reports that fail to qualify for acceleration methods like report or data model acceleration.
* Option C: Incorrect because summary indexing is less beneficial for short time ranges, where querying raw data is often faster.
* Option D: Incorrect because Smart Mode is unrelated to summary indexing; it is a search optimization feature.
Example: Suppose you want to calculate daily sales totals over a year. Instead of querying raw sales data every time, you can use summary indexing to store daily totals and query the summary index instead.
References:
* Splunk Documentation on Summary Indexing:https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/Usesummaryindexing
* Splunk Documentation on Report Acceleration:https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/Acceleratedatamodels
NEW QUESTION # 23
Which of these generates a summary index containing a count of events by productId?
Answer: A
Explanation:
To generate a summary index containing a count of events by productId, the correct search command would be | stats count by productId (Option A). This command aggregates the events by productId, counting the number of events for each unique productId value. The stats command is a fundamental Splunk command used for aggregation and summarization, making it suitable for creating summary data like counts by specific fields.
NEW QUESTION # 24
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