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| Section | Weight | Objectives |
|---|---|---|
| Using Transforming Commands for Visualizations | 5% | - Visualization commands
|
| Filtering and Formatting Results | 10% | - Search and evaluation commands
|
| Data Models | 10% | - Data model concepts
|
| Macros | 10% | - Search macros
|
| Correlating Events | 15% | - Event correlation techniques
|
| Workflow Actions | 10% | - Workflow action types
|
| Creating and Managing Fields | 10% | - Field extraction methods
|
| Tags and Event Types | 10% | - Knowledge objects
|
| Common Information Model (CIM) | 10% | - Data normalization
|
| Field Aliases and Calculated Fields | 10% | - Field enrichment
|
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NEW QUESTION # 16
Complete the search, .... | _____ failure>successes
Answer: C
NEW QUESTION # 17
Why would the following search produce multiple transactions instead of one?
Answer: A
Explanation:
In Splunk, the transaction command is used to group events that share common characteristics into a single transaction1. By default, the transaction command groups all matching events into a single transaction1.
However, you can use the maxspan option to limit the time span of the transactions1. If the time span between the first and last event in a transaction exceeds the maxspan value, the transaction command will start a new transaction1.
Therefore, if the maxspan option is not included in the search, the transaction command might produce multiple transactions instead of one if the time span between the first and last event in a transaction exceeds the default maxspan value1.
Here is an example of how you can use the maxspan option in a search:
index=main sourcetype=access_combined | transaction someuniqefield maxspan=1h In this search, the transaction command groups events that share the same someuniqefield value into a single transaction, but only if the time span between the first and last event in the transaction does not exceed 1 hour1. If the time span exceeds 1 hour, the transaction command will start a new transaction1.
NEW QUESTION # 18
Why would the following search produce multiple transactions instead of one?
Answer: A
Explanation:
In Splunk, the transaction command is used to group events that share common characteristics into a single transaction1. By default, the transaction command groups all matching events into a single transaction1.
However, you can use the maxspan option to limit the time span of the transactions1. If the time span between the first and last event in a transaction exceeds the maxspan value, the transaction command will start a new transaction1.
Therefore, if the maxspan option is not included in the search, the transaction command might produce multiple transactions instead of one if the time span between the first and last event in a transaction exceeds the default maxspan value1.
Here is an example of how you can use the maxspan option in a search:
index=main sourcetype=access_combined | transaction someuniqefield maxspan=1h In this search, the transaction command groups events that share the same someuniqefield value into a single transaction, but only if the time span between the first and last event in the transaction does not exceed 1 hour1. If the time span exceeds 1 hour, the transaction command will start a new transaction1.
NEW QUESTION # 19
Which of the following searches would return a report of salesby product_name?
Answer: B
Explanation:
Explanation/Reference: http://hilllaneconsulting.co.uk/blog/?p=640
NEW QUESTION # 20
Which field will be used to populate the field if the productName and product:d fields have values for a given event?
| eval productINFO=coalesco(productName,productid)
Answer: C
Explanation:
The correct answer is B. The value for the productName field because it appears first.
The coalesce function is an eval function that takes an arbitrary number of arguments and returns the first value that is not null. A null value means that the field has no value at all, while an empty value means that the field has a value, but it is "" or zero-length1.
The coalesce function can be used to combine fields that have different names but represent the same data, such as IP address or user name. The coalesce function can also be used to rename fields for clarity or convenience2.
The syntax for the coalesce function is:
coalesce(<field1>,<field2>,...)
The coalesce function will return the value of the first field that is not null in the argument list. If all fields are null, the coalesce function will return null.
For example, if you have a set of events where the IP address is extracted to either clientip or ipaddress, you can use the coalesce function to define a new field called ip, that takes the value of either clientip or ipaddress, depending on which is not null:
| eval ip=coalesce(clientip,ipaddress)
In your example, you have a set of events where the product name is extracted to either productName or productid, and you use the coalesce function to define a new field called productINFO, that takes the value of either productName or productid, depending on which is not null:
| eval productINFO=coalesce(productName,productid)
If both productName and productid fields have values for a given event, the coalesce function will return the value of the productName field because it appears first in the argument list. The productid field will be ignored by the coalesce function.
Therefore, the value for the productName field will be used to populate the productINFO field if both fields have values for a given event.
References:
* Search Command> Coalesce
* USAGE OF SPLUNK EVAL FUNCTION : COALESCE
NEW QUESTION # 21
......
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