Best SPLK-1002 Preparation Materials | 100% Free High-quality Splunk Core Certified Power User Exam Exam Training
Best SPLK-1002 Preparation Materials | 100% Free High-quality Splunk Core Certified Power User Exam Exam Training
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Our Splunk Core Certified Power User Exam (SPLK-1002) practice exam can be modified in terms of length of time and number of questions to help you prepare for the Splunk real test. We're certain that our SPLK-1002 Questions are quite similar to those on SPLK-1002 real exam since we regularly update and refine the product based on the latest exam content.
To prepare for the SPLK-1002 exam, candidates can take advantage of official Splunk training courses and online resources. SPLK-1002 exam itself is computer-based and consists of 60 multiple-choice questions. Candidates have 90 minutes to complete the exam, and a passing score is 70%. Upon passing the SPLK-1002 exam, candidates will receive a digital badge and a certificate from Splunk, recognizing their achievement as a certified Splunk Core Certified Power User.
Splunk SPLK-1002 certification exam comprises 65 multiple-choice questions that need to be completed within 90 minutes. SPLK-1002 Exam is available in English and Japanese and can be taken online or at a Pearson VUE testing center. Candidates who pass the exam earn the Splunk Core Certified Power User certification, which validates their expertise in using Splunk and demonstrates their ability to leverage the platform's capabilities to drive business value. Splunk Core Certified Power User Exam certification is recognized globally and can help professionals advance their careers in the field of data analysis, security, and IT operations.
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Splunk Core Certified Power User Exam Sample Questions (Q242-Q247):
NEW QUESTION # 242
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. An additional field named duration is created.
- C. An additional field named eventcount is created.
- D. Events with the same JSESSIONID will be grouped together into a single event.
Answer: B,C,D
NEW QUESTION # 243
Which syntax will find events where the values for the 1 field match the values for the Renewal-MonthYear field?
- A. | where '10yearAnnerversary'='Renewal-MonthYear'
- B. | where '10yearAnnerversary=Renewal-MonthYear
- C. | where 10yearAnnerversary=Renewal-MonthYear
- D. | where 10yearAnnerversary='Renewal-MonthYear'
Answer: C
Explanation:
The correct answer is A. | where 10yearAnnerversary=Renewal-MonthYear.
The where command is used to filter the search results based on an expression that evaluates to true or false.
The where command can compare two fields, two values, or a field and a value. The where command can also use functions, operators, and wildcards to create complex expressions1.
The syntax for the where command is:
| where <expression>
The expression can be a comparison, a calculation, a logical operation, or a combination of these. The expression must evaluate to true or false for each event.
To compare two fields with the where command, you need to use the field names without any quotation marks. For example, if you want to find events where the values for the 10yearAnnerversary field match the values for the Renewal-MonthYear field, you can use the following syntax:
| where 10yearAnnerversary=Renewal-MonthYear
This will return only the events where the two fields have the same value.
The other options are not correct because they use quotation marks around the field names, which will cause the where command to interpret them as string values instead of field names. For example, if you use:
| where '10yearAnnerversary'='Renewal-MonthYear'
This will return no events because there are no events where the string value '10yearAnnerversary' is equal to the string value 'Renewal-MonthYear'.
References:
* where command usage
NEW QUESTION # 244
Which of the following statements describe the Common Information Model (QM)? (select all that apply)
- A. CIM can correlate data from different sources.
- B. The Knowledge Manager uses the CIM to create knowledge objects.
- C. CIM is a methodology for normalizing data.
- D. CIM is an app that can coexist with other apps on a single Splunk deployment.
Answer: A,B,C
Explanation:
Reference:https://docs.splunk.com/Documentation/CIM/4.15.0/User/Overview
NEW QUESTION # 245
A user runs the following search:
index-X sourcetype=Y I chart count (domain) as count, sum (price) as sum by product, action usenull=f
useother-f
Which of the following table headers match the order this command creates?
- A. Product, sum: addtocart, sum: remove, sum: purchase, count: addtocart, count: remove, count: purchase
- B. Product, count: addtocart, count: remove, count: purchase, sum: addtocart, sum: remove, sum: purchase
- C. Count: product, sum: product, count: action, sum: action
- D. The chart command does not allow for multiple statistical functions.
Answer: B
Explanation:
The correct answer isC. Product, count: addtocart, count: remove, count: purchase, sum: addtocart, sum:
remove, sum: purchase1.
In Splunk, thechartcommand is used to create a table or a chart visualization from your
data2.Thechartcommand takes at least one function and one field, and optionally another field to group by2.
In the given search, thechartcommand is used with two functions (countandsum), two fields (domainandprice),
and two fields to group by (productandaction).Theusenull=fanduseother=foptions are used to exclude null
values and other values from the chart2.
Thechartcommand creates a table with headers that match the order of the fields and functions in the
command1.The headers for thecountfunction are prefixed withcount:, and the headers for thesumfunction are
prefixed withsum:1.The values of theproductandactionfields are used as the suffixes for the headers1.
Therefore, the table headers created by this command areProduct,count: addtocart,count: remove,count:
purchase,sum: addtocart,sum: remove, andsum: purchase1.
NEW QUESTION # 246
How could the following syntax for the chart command be rewritten to remove the OTHER category? (select all that apply)
- A. | chart count over CurrentStanding by Action limit-10
- B. | chart count over CurrentStanding by Action limit=10 useother=f
- C. | chart count over CurrentStanding by Action usenull-f useother-t
- D. | chart count over CurrentStanding by Action useother=f
Answer: B,D
Explanation:
In Splunk, when using the chart command, the useother parameter can be set to false (f) to remove the
'OTHER' category, which is a bucket that Splunk uses to aggregate low-cardinality groups into a single group to simplify visualization. Here's how the options break down:
A: | chart count over CurrentStanding by Action useother=fThis command correctly sets the useother parameter to false, which would prevent the 'OTHER' category from being displayed in the resulting visualization.
B: | chart count over CurrentStanding by Action usenull=f useother=tThis command has useother set to true (t), which means the 'OTHER' category would still be included, so this is not a correct option.
C: | chart count over CurrentStanding by Action limit=10 useother=fSimilar to option A, this command also sets useother to false, additionally imposing a limit to the top 10 results, which is a way to control the granularity of the chart but also to remove the 'OTHER' category.
D: | chart count over CurrentStanding by Action limit-10This command has a syntax error (limit-10 should be limit=10) and does not include the useother=f clause. Therefore, it would not remove the 'OTHER' category, making it incorrect.
The correct answers to rewrite the syntax to remove the 'OTHER' category are options A and C, which explicitly set useother=f.
NEW QUESTION # 247
......
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