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| Section | Weight | Objectives |
|---|
| Topic 1: Workflow Actions | 10% | - Workflow action types
- 1. Search workflow actions
- 2. POST workflow actions
- 3. GET workflow actions
|
| Topic 2: Data Models | 10% | - Data model concepts
- 1. Pivot usage
- 2. Data model structure
- 3. Data model attributes
- 4. Create data models
|
| Topic 3: Correlating Events | 15% | - Event correlation techniques
- 1. Identify transactions
- 2. Group events using fields
- 3. Group events using fields and time
- 4. When to use transactions vs stats
- 5. Report on transactions
- 6. Search with transactions
|
| Topic 4: Tags and Event Types | 10% | - Knowledge objects
- 1. Create event types
- 2. Event types usage
- 3. Create and use tags
|
| Topic 5: Using Transforming Commands for Visualizations | 5% | - Visualization commands
- 1. timechart command
- 2. chart command
|
| Topic 6: Macros | 10% | - Search macros
- 1. Macros with arguments
- 2. Create and use basic macros
|
| Topic 7: Filtering and Formatting Results | 10% | - Search and evaluation commands
- 1. search command
- 2. eval command
- 3. where command
- 4. fillnull command
|
| Topic 8: Field Aliases and Calculated Fields | 10% | - Field enrichment
- 1. Calculated fields
- 2. Field aliases
|
| Topic 9: Creating and Managing Fields | 10% | - Field extraction methods
- 1. Delimiter field extraction using Field Extractor (FX)
- 2. Regex field extraction using Field Extractor (FX)
|
| Topic 10: Common Information Model (CIM) | 10% | - Data normalization
- 1. Data normalization techniques
- 2. Purpose of CIM
- 3. Using CIM add-ons
|
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Splunk Core Certified Power User Exam Sample Questions (Q303-Q308):
NEW QUESTION # 303
Which of the following search modes automatically returns all extracted fields in the fields sidebar?
- A. Fast
- B. Smart
- C. C. Verbose
Answer: C
Explanation:
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.
NEW QUESTION # 304
A calculated field maybe based on which of the following?
- A. Fields generated within a search string
- B. Regular expressions
- C. Extracted fields
- D. Lookup tables
Answer: C
Explanation:
As mentioned before, a calculated field is a field that you create based on the value of another field or fields2. A calculated field can be based on extracted fields, which are fields that are extracted from your raw data using various methods such as regular expressions, delimiters or key-value pairs2. Therefore, option B is correct, while options A, C and D are incorrect because they are not types of fields that a calculated field can be based on.
NEW QUESTION # 305
Which of the following searches would return a report of sales by product-name?
- A. stats sum(price) as sales over product_name
- B. timechart list(sales), values(product_name)
- C. chart sum(price) as sales by product_name
- D. chart sales by product_name
Answer: A
Explanation:
Reference:http://hilllaneconsulting.co.uk/blog/?p=640
NEW QUESTION # 306
Two separate results tables are being combined using the |join command. The outer table has the following values:
Refer to following Tables

The line of SPL used to join the tables is: | join employeeNumber type=outer How many rows are returned in the new table?
- A. Five
- B. Eight
- C. Zero
- D. Three
Answer: B
Explanation:
When performing an outer join in Splunk using the | join employeeNumber type=outer command, it combines the rows from both tables based on the employeeNumber field. An outer join returns all rows from both tables, with matching rows from both sides where available. If there is no match, the result is NULL on the side of the join where there is no match.
In the provided tables, there are five rows in the first table and three in the second. Since it's an outer join, all rows from both tables will be returned. This means the new table will have a total of eight rows, combining the matched rows and the unmatched rows from both tables.
References:
* Splunk Documentation on the join command.
* Splunk Community discussions on the usage of join and types of joins.
NEW QUESTION # 307
To identify all of the contributing events within a transaction that contains at least one REJECT event, which syntax is correct?
- A. Index-main | transaction sessionid | search REJECT
- B. Index=main | transaction sessionid | where transaction=reject''
- C. Index=main | transaction sessionid | whose transaction=reject
- D. Index-main | REJECT trans sessionid
Answer: A
Explanation:
Explanation
The transaction command is used to group events that share a common value for one or more fields into transactions2. The transaction command assigns a transaction ID to each group of events and creates new fields such as duration, eventcount and eventlist for each transaction2. To identify all of the contributing events within a transaction that contains at least one REJECT event, you can use the following syntax: index=main | transaction sessionid | search REJECT2. This search will first group the events by sessionid, then filter out the transactions that do not contain REJECT in any of their events2. Therefore, option B is correct, while options A, C and D are incorrect because they do not follow the correct syntax for using the transaction command or the search command.
NEW QUESTION # 308
......
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