Repeating JSON data structures within one event will be extracted as what type of fields?
A. Single value
B. Lexicographical
C. Multivalue
D. Mvindex
Correct Answer: C
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
Question 22:
Which of the following has a schema or structure embedded in the data itself?
A. Dark data
B. Unstructured data
C. Embedded data
D. Self-describing data
Correct Answer: D
Self-describing data (Option D) refers to data that includes information about its own structure or schema within the data itself. This characteristic makes it easier to understand and process the data because the structure and meaning of the data are embedded with the data, reducing the need for external definitions or mappings. Examples of self- describing data formats include JSON and XML, where elements and attributes describe the data they contain.
Question 23:
Which of the following statements is accurate regarding the append command?
A. It is used with a subsearch and only accesses real-lime searches.
B. It is used with a subsearch and oily accesses historical data.
C. It cannot be used with a subsearch and only accesses historical data.
D. It cannot be used with a subsearch and only accesses real-time searches.
Correct Answer: B
The append command in Splunk is often used with a subsearch to add additional data to the end of the primary search results, and it can access historical data (Option B). This capability is useful for combining datasets from different time ranges or sources, enriching the primary search results with supplementary information.
Question 24:
What qualifies a report for acceleration?
A. Fewer than 100k events in search results, with transforming commands used in the search string.
B. More than 100k events in search results, with only a search command in the search string.
C. More than 100k events in the search results, with a search and transforming command used in the search string.
D. fewer than 100k events in search results, with only a search and transaction command used in the search string.
Correct Answer: A
A report qualifies for acceleration in Splunk if it involves fewer than 100,000 events in the search results and uses transforming commands in the search string (Option A). Transforming commands aggregate data, making it more suitable for acceleration by reducing the dataset's complexity and size, which in turn improves the speed and efficiency of report generation.
Question 25:
What is one way to troubleshoot dashboards?
A. Run the | previous_searches command to troubleshoot your SPL queries.
B. Go to the Troubleshooting dashboard of me Searching and Reporting app.
C. Delete the dashboard and start over.
D. Create an HTML panel using tokens to verify that they are being set.
Correct Answer: B
To troubleshoot dashboards in Splunk, one effective approach is to go to the Troubleshooting dashboard of the Search and Reporting app (Option B). This dashboard provides insights into the performance and potential issues of other dashboards and searches, offering a centralized place to diagnose and address problems. This method allows for a structured approach to troubleshooting, leveraging built-in tools and reports to identify and resolve issues.
Question 26:
What is a performance improvement technique unique to dashboards?
A. Using stats instead of transaction
B. Using global searches
C. Using report acceleration
D. Using datamodel acceleration
Correct Answer: C
Using report acceleration (Option C) is a performance improvement technique unique to dashboards in Splunk. Report acceleration involves pre-computing the results of a report (which can be a saved search or a dashboard panel) and storing these results in a summary index, allowing dashboards to load faster by retrieving the pre-computed data instead of running the full search each time. This technique is especially useful for dashboards that rely on complex searches or searches over large datasets.
Question 27:
Which statement about the coalesce function is accurate?
A. It can take only a single argument.
B. It can take a maximum of two arguments.
C. It can be used to create a new field in the results set.
D. It can return null or non-null values.
Correct Answer: C
The coalesce function in Splunk is used to evaluate each argument in order and return the first non-null value. This function can be used within an eval expression to create a new field in the results set, which will contain the first non-null value from the list of fields provided as arguments to coalesce. This makes it particularly useful in situations where data may be missing or inconsistently populated across multiple fields, as it allows for a fallback mechanism to ensure that some value is always presented.
Question 28:
Which commands should be used in place of a subsearch if possible?
A. untable and/or xyseries
B. stats and/or eval
C. mvexpand and/or where
D. bin and/or where
Correct Answer: B
Using stats and/or eval commands in place of a subsearch is often recommended for performance optimization in Splunk searches. Subsearches can be resource-intensive and slow, especially when dealing with large datasets or complex search operations. The stats command is versatile and can be used for aggregation, summarization, and calculation of data, often achieving the same goals as a subsearch but more efficiently. The eval command is used for field calculations and conditional evaluations, allowing for the manipulation of search results without the need for a subsearch. These commands, when used effectively, can reduce the processing load and improve the speed of searches.
Question 29:
What arguments are required when using the spath command?
A. input, output, index
B. input, output path
C. No arguments are required.
D. field, host, source
Correct Answer: B
Question 30:
When running a search, which Splunk component retrieves the individual results?
A. Indexer
B. Search head
C. Universal forwarder
D. Master node
Correct Answer: B
The Search head (Option B) in Splunk architecture is responsible for initiating and coordinating search activities across a distributed environment. When a search is run, the search head parses the search query, distributes the search tasks to the appropriate indexers (which hold the actual data), and then consolidates the results retrieved by the indexers. The search head is the component that interacts with the user, presenting the final search results
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