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Splunk SPLK-2001 Exam Sample Questions


Question # 1

Which type of command is tstats?
A. Generating
B. Transforming
C. Centralized streaming
D. Distributable streaming


A. Generating
Explanation: The correct answer is A because the tstats command is a generating command. A generating command is a type of command that does not require a base search and can generate results from the summary data or the raw data. The tstats command is a generating command that can retrieve statistical information from the summary data, such as the accelerated data models or the data model summaries. The tstats command is similar to the stats command, but it is faster and more efficient, as it does not need to scan the raw data. The other options are incorrect because they are not the type of command that tstats is. Option B is incorrect because a transforming command is a type of command that converts the results into a data table with rows and columns. Option C is incorrect because a centralized streaming command is a type of command that processes the results on the search head, not on the indexers. Option D is incorrect because a distributable streaming command is a type of command that processes the results on the indexers, not on the search head. You can find more information about the tstats command and the types of commands in the Splunk Developer Guide.



Question # 2

Which of the following are valid request arguments for the REST search endpoints? (Select all that apply.)
A. latest_time=rt
B. latest_time=now
C. earliest_time=-5h@h
D. earliest_time=rt_10m@m


B. latest_time=now
C. earliest_time=-5h@h
Explanation: The valid request arguments for the REST search endpoints are latest_time=now and earliest_time=-5h@h. These arguments specify the time range for the search, using relative or absolute time modifiers. The other arguments are invalid because they use rt (real-time) modifiers, which are not supported by the REST search endpoints.



Question # 3

Suppose the following query in a Simple XML dashboard returns a table including hyperlinks:
<search>
<query>index news sourcetype web_proxy | table sourcetype title link
</query>
</search>
Which of the following is a valid dynamic drilldown element to allow a user of the dashboard to visit the hyperlinks contained in the link field?
A. <option name “link.openSearch.viewTarget">$row.link$</option>
B.
<drilldown>
<link target="“" blank"="">$$row.link$$
</drilldown>
C.
<drilldown>
<link target="_blank">$row.link|n$</link>
</drilldown>
D.
<drilldown>
<link target “_blank">http://localhost:8000/debug/refresh</link>
</drilldown>


C.
<drilldown>
<link target="_blank">$row.link|n$</link>
</drilldown>

Explanation: It uses the $row.field|n$ syntax to reference the value of the link field in each row of the table. This syntax is used to create dynamic links in Simple XML dashboards. The other options are incorrect because they either use invalid syntax or do not reference the link field correctly. You can find more information about dynamic drill-downs and link syntax in the Splunk Developer Guide.



Question # 4

Which Splunk REST endpoint is used to create a KV store collection?
A. /storage/collections
B. /storage/kvstore/create
C. /storage/collections/config
D. /storage/kvstore/collections


C. /storage/collections/config
Explanation: The Splunk REST endpoint that is used to create a KV store collection is /storage/collections/config. This endpoint lets you create, update, or delete a KV store collection. The other endpoints are either invalid or used for different purposes. For more information, see Use the Splunk REST API to access the KV Store.



Question # 5

Which of the following options would be the best way to identify processor bottlenecks of a search?
A. Using the REST API.
B. Using the search job inspector.
C. Using the Splunk Monitoring Console.
D. Searching the Splunk logs using index=“internal”.


B. Using the search job inspector.
Explanation: The correct answer is B because the best way to identify processor bottlenecks of a search is to use the search job inspector. The search job inspector is a tool that provides detailed information about the performance and resource consumption of a search job, such as CPU time, memory usage, scan count, and event count. The search job inspector can help you identify which parts of your search are causing processor bottlenecks and how to optimize them. Option A is incorrect because using the REST API does not provide as much information as the search job inspector. Option C is incorrect because using the Splunk Monitoring Console does not provide information about individual search jobs, but rather about the overall health and performance of your Splunk deployment. Option D is incorrect because searching the Splunk logs using index=“internal” does not provide information about processor bottlenecks, but rather about errors and warnings that occurred during the search execution. You can find more information about the search job inspector in the Splunk Developer Guide.


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