Topic 2: Questions Set 2
Which of the following search control will not re-rerun the search? (Select all that apply.)
A. zoom out
B. selecting a bar on the timeline
C. deselect
D. selecting a range of bars on the timelines
Explanation: The timeline is a graphical representation of your search results that shows the distribution of events over time2. You can use the timeline to zoom in or out of a specific time range or to select one or more bars on the timeline to filter your results by that time range2. However, these actions will not re-run the search, but rather refine the existing results based on the selected time range2. Therefore, options B, C and D are correct, while option A is incorrect because zooming out will re-run the search with a broader time range.
The timechart command is an example of which of the following command types?
A. Orchestrating
B. Transforming
C. Statistical
D. Generating
Which of the following search modes automatically returns all extracted fields in the fields sidebar?
A. Fast
B. Smart
C. Verbose
Explanation: The search modes determine how Splunk processes your search and displays your results2. There are three search modes: Fast, Smart and Verbose2. The search mode that automatically returns all extracted fields in the fields sidebar is Verbose2. The Verbose mode shows all the fields that are extracted from your events, including default fields, indexed fields and search-time extracted fields2. The fields sidebar is a panel that shows the fields that are present in your search results2. Therefore, option C is correct, while options A and B are incorrect because they are not search modes that automatically return all extracted fields in the fields sidebar.
When would transaction be used instead of stats
A. To group events based on a single field value.
B. To see results of a calculation
C. To have a faster and more efficient search
D. To group events based on start/end values
Explanation: The transaction command is used to group events that are related by some common fields or conditions, such as start/end values, time span, or pauses. The stats command is used to calculate statistics on a group of events by a common field value.
What are the expected search results from executing the following SPL command?
index=network NOT StatusCode=200
A. Every event in the network index that does not have a value in this field.
B. Every event in the network index that does not contain a StatusCode of 200 and excluding events that do not have a value in this field.
C. Every event in the network index that does not contain a StatusCode of 200, including events that do not have a value in this field.
D. No results as the syntax is incorrect, the != field expression needs to be used instead of the NOT operator.
Explanation: In Splunk, the NOT operator is used to exclude events from your search results. The search index=network NOT StatusCode=200 will return all events in the ‘network’ index where the StatusCode is not 200. This includes events where the StatusCode field is present and has a value other than 200, as well as events where the StatusCode field is not present at all.
Which of the following is included with the Splunk Common Information Model (CIM) Addon?
A. Sourcetype definitions from the most popular technology vendors
B. A set of pre-configured data models.
C. Scripted inputs to pre-align data with the CIM.
D. Dashboards to validate data quality.
Explanation: The Splunk Common Information Model (CIM) Add-on is a foundational component for many Splunk apps, providing a common framework for data normalization and field extraction. This add-on includes a set of pre-configured data models that are essential for consistent reporting, searching, and correlation across various types of data. These data models help standardize field names and event structures, ensuring that data from disparate sources can be queried in a uniform way. While the CIM Add-on facilitates the use of standardized sourcetypes and supports data validation, the primary feature it offers is the set of pre-configured data models which are crucial for maintaining consistency across different datasets.
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