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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating and Using Workflow Actions | 10% | - Create and configure workflow actions - Describe GET, POST, and Search workflow actions - Use workflow actions to extend searches |
| Topic 2: Using the Common Information Model (CIM) Add-On | 5% | - Use CIM to standardize data across sources - Describe Splunk CIM purpose and structure - Normalize data using CIM knowledge objects |
| Topic 3: Filtering and Formatting Results | 15% | - Sort, rename, and limit results - Use fillnull, eval, and other formatting commands - Use search and where commands |
| Topic 4: Using Macros | 10% | - Manage macro permissions and sharing - Create and reuse search macros - Add and use arguments in macros |
| Topic 5: Transforming Commands and Visualizations | 15% | - Create and customize visualizations - Format results for presentation - Use transforming commands to structure data |
| Topic 6: Creating and Using Field Aliases and Calculated Fields | 10% | - Create calculated fields with eval - Manage field extractions and aliases - Define and use field aliases |
| Topic 7: Correlating Events | 15% | - Identify and use transactions - Group events by fields and time - Compare transactions vs stats commands |
| Topic 8: Creating Tags and Event Types | 10% | - Define event types to categorize events - Use tags and event types in searches - Create and apply tags to fields or values |
| Topic 9: Creating Data Models | 10% | - Define data model objects and attributes - Understand data models and Pivot - Create and use data models |
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NEW QUESTION # 239
What is the correct Boolean order of evaluation for the where command from first to last?
Answer: C
Explanation:
In Splunk, the order of operations for Boolean logic in the where command follows this sequence:
* Parentheses: Operations inside parentheses are evaluated first.
* NOT: The NOT operator is evaluated after parentheses.
* AND: The AND operator is evaluated next.
* OR: Finally, the OR operator is evaluated last.
This order ensures that expressions within parentheses are given priority, followed by negations (NOT), conjunctions (AND), and finally disjunctions (OR).
References:
* Splunk Docs - where command
NEW QUESTION # 240
Two separate results tables are being combined using the join command. The outer table has the following values:
The inner table has the following values:
The line of SPL used to join the tables is: join employeeNumber type=outer How many rows are returned in the new table?
Answer: A
Explanation:
In this case, the outer join is applied, which means that all rows from the outer (left) table will be included, even if there are no matching rows in the inner (right) table. The result will include all five rows from the outer table, with the matched data from the inner table where employeeNumber matches. Rows without matching employeeNumber values will have null values for the fields from the inner table.
References:
Splunk Documentation - Join Command
NEW QUESTION # 241
Which of the following transforming commands can be used with transactions?
Answer: B
Explanation:
The correct answer is A. chart, timechart, stats, eventstats.
Transforming commands are commands that change the format of the search results into a table or a chart.
They can be used to perform statistical calculations, create visualizations, or manipulate data in various ways1.
Transactions are groups of events that share some common values and are related in some way. Transactions can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf file2.
Some transforming commands can be used with transactions to create tables or charts based on the transaction fields. These commands include:
* chart: This command creates a table or a chart that shows the relationship between two or more fields. It can be used to aggregate values, count occurrences, or calculate statistics3.
* timechart: This command creates a table or a chart that shows how a field changes over time. It can be used to plot trends, patterns, or outliers4.
* stats: This command calculates summary statistics on the fields in the search results, such as count, sum, average, etc. It can be used to group and aggregate data by one or more fields5.
* eventstats: This command calculates summary statistics on the fields in the search results, similar to stats, but it also adds the results to each event as new fields. It can be used to compare events with the overall statistics.
These commands can be applied to transactions by using the transaction fields as arguments. For example, if you have a transaction type named "login" that groups events based on the user field and has fields such as duration and eventcount, you can use the following commands with transactions:
* | chart count by user : This command creates a table or a chart that shows how many transactions each user has.
* | timechart span=1h avg(duration) by user : This command creates a table or a chart that shows the average duration of transactions for each user per hour.
* | stats sum(eventcount) as total_events by user : This command creates a table that shows the total number of events for each user across all transactions.
* | eventstats avg(duration) as avg_duration : This command adds a new field named avg_duration to each transaction that shows the average duration of all transactions.
The other options are not valid because they include commands that are not transforming commands or cannot be used with transactions. These commands are:
* diff: This command compares two search results and shows the differences between them. It is not a transforming command and it does not work with transactions.
* datamodel: This command retrieves data from a data model, which is a way to organize and categorize data in Splunk. It is not a transforming command and it does not work with transactions.
* pivot: This command creates a pivot report, which is a way to analyze data from a data model using a graphical interface. It is not a transforming command and it does not work with transactions.
References:
* About transforming commands
* About transactions
* chart command overview
* timechart command overview
* stats command overview
* [eventstats command overview]
* [diff command overview]
* [datamodel command overview]
* [pivot command overview]
NEW QUESTION # 242
Calculated fields can be based on which of the following?
Answer: C
Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/definecalcfields
A calculated field is a field that you create based on the value of another field or fields1. You can use
calculated fields to enrich your data with additional information or to transform your data into a moreuseful
format1. Calculated fields 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 pairs1. Therefore, option B is
correct, while options A, C and D are incorrect because tags, output fields for a lookup, and fields generated
from a search string are not types of extracted fields.
NEW QUESTION # 243
Which of the following statements describes POST workflow actions?
Answer: B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaPOSTworkflowaction
NEW QUESTION # 244
......
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