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Splunk Core Certified Power User Exam Sample Questions (Q58-Q63):
NEW QUESTION # 58
Which of the following searches would create a graph similar to the one below?
- A. None of these searches would generate a similart graph.
- B. index_internal seourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan-id | chart count states by -time
- C. index_internal seourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan-id | timechart count by status
- D. index_internal seourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan-id | start count states
Answer: C
Explanation:
Explanation
The following search would create a graph similar to the one below:
index_internal sourcetype=Savesplunker | fields sourcetype, status | transaction status maxspan=1d | timechart count by status The search does the following:
It uses index_internal to specify the internal index that contains Splunk logs and metrics.
It uses sourcetype=Savesplunker to filter events by the sourcetype that indicates the Splunk Enterprise Security app.
It uses fields sourcetype, status to keep only the sourcetype and status fields in the events.
It uses transaction status maxspan=1d to group events into transactions based on the status field with a maximum time span of one day between the first and last events in a transaction.
It uses timechart count by status to create a time-based chart that shows the count of transactions for each status value over time.
The graph shows the following:
It is a line graph with two lines, one yellow and one blue.
The x-axis is labeled with dates from Wed, Apr 4, 2018 to Tue, Apr 10, 2018.
The y-axis is labeled with numbers from 0 to 15.
The yellow line represents "shipped" and the blue line represents "success".
The yellow line has a steady increase from 0 to 15, while the blue line has a sharp increase from 0 to 5, then a decrease to 0, and then a sharp increase to 10.
The graph is titled "Type".
Therefore, option C is the correct answer.
NEW QUESTION # 59
When should the regular expression mode of Field Extractor (FX) be used? (select all that apply)
- A. For data in a CSV (comma-separated value) file.
- B. For data with multiple, different characters separating fields.
- C. For data cleanly separated by a space, a comma, or a pipe character.
- D. For unstructured data.
Answer: B,D
Explanation:
The regular expression mode of Field Extractor (FX) should be used for data with multiple, different characters separating fields or for unstructured data. The regular expression mode allows you to select a sample event and highlight the fields that you want to extract, and the field extractor generates a regular expression that matches similar events and extracts the fields from them.ReferencesSee Build field extractions with the field extractor - Splunk Documentation and Field Extractor: Select Method step - Splunk Documentation.
NEW QUESTION # 60
Which of the following statements about tags is true?
- A. Tags are case insensitive.
- B. Tags are searched by using the syntax tag: : <fieldneme>
- C. Tags are created at index time.
- D. Tags can make your data more understandable.
Answer: D
Explanation:
Explanation
Tags are aliases or alternative names for field values in Splunk. They can make your data more understandable by using common or descriptive terms instead of cryptic or technical terms. For example, you can tag a field value such as "200" with "OK" or "success" to indicate that it is a HTTP status code for a successful request.
Tags are case sensitive, meaning that "OK" and "ok" are different tags. Tags are created at search time, meaning that they are applied when you run a search on your data. Tags are searched by using the syntax tag::<tagname>, where <tagname> is the name of the tag you want to search for.
NEW QUESTION # 61
Which of the following statements describes the command below (select all that apply) sourcetype-access_combined | transaction JSESSIONID
- A. An additional filed named maxspan is created.
- B. Events with the same JSESSIONID will be grouped together into a single event.
- C. An additional field named eventcount is created.
- D. An additional Held named duration is created.
Answer: B,C,D
NEW QUESTION # 62
A user wants a table that will show the total revenue made for each product in each sales region. Which would be the correct SPL query to use?
- A. index=X sourcetype=Y | chart sum(product) by price AND region
- B. index=X | chart total(product) over price by region
- C. index=X | chart total(price) by product, region
- D. index=X | chart sum(price) by product, region
Answer: D
Explanation:
The chart command with sum(price) by product, region will return a table where the total revenue (price) is aggregated (sum) for each product and sales region. This is the correct way to aggregate data in Splunk.
Reference:
Splunk Docs - chart command
NEW QUESTION # 63
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