問題一覧
1
It behaves exactly like search strings before the first pipe.
2
Create or replace an existing field.
3
A pipe may always follow a macro.
4
Events datasets, Search datasets, Transaction datasets
5
Pipes, Spaces
6
Knowledge Managers
7
Priority
8
'convert_sales(euro,€,.79)'
9
Event Actions > Extract Fields
10
There is a 1000 event limitation with the transaction command.
11
Turned off.
12
CIM is a methodology for normalizing data., CIM can correlate data from different sources., CIM is an app that can coexist with other apps on a single Splunk deployment.
13
Calculated fields
14
All events in a transaction must be related by one or more fields.
15
Commas, Spaces, Pipes
16
Events, searches, transactions.
17
In a field.
18
Calculated fields can be used in the search bar., Calculated fields can be based on an extracted field., Calculated fields are shortcuts for performing calculations using the eval command.
19
Extracted fields
20
When event grouping is based on start/end values.
21
Only events with the required string will be included in the extraction.
22
_time
23
| datamodel Web Web search | fields Web*
24
An additional field named duration is created., An additional field named eventcount is created., Events with the same JSESSIONID will be grouped together into a single event.
25
tag=Priv*
26
The macro name is sessiontracker(2) and the arguments are action, JESSIONID.
27
The macro's name ends with (3).
28
GET
29
Tags are based on field/value pairs., Tags are designed to make data more understandable.
30
Arguments are defined at execution time., Argument values are used to resolve the search string at execution time.
31
A name for the workflow action., A URI where the user will be directed at search time., A label that will appear in the Event Action menu at search time.
32
"hex" , "commas", "duration"
33
index=main source=mySource oldField=* |'makeMyField(oldField)'| table _time newField, index=main source=mySource oldField=* | stats if('makeMyField(oldField)') | table _time newField
34
Convert the numeric to a string with eval first, then sort.
35
Lookups, Field extractions
36
Accelerated data models cannot be edited., Private data models cannot be accelerated., You must have administrative permissions or the accelerate_datamodel capability to accelerate a data model.
37
By changing Stack Mode in the Format menu.
38
0
39
| chart count by vendor_action, user
40
Constraints and fields.
41
because _time is already implied as the x-axis.
42
Both will appear in the Interesting Fields list, but only if they appear in at least 20 percent of events.
43
A macro is a reusable search string that may have a flexible time range.
44
Field Extractions, Field Aliases, Lookups
45
When the search string needs to be used in future searches.
46
Sets the maximum total time between the earliest and latest events in a transaction.
47
Search string
48
index=main | transaction sessionid | search REJECT
49
It is no longer possible to edit the field extraction in the Field Extractor (FX) UI.
50
POST workflow actions can be configured to send POST arguments to the URI location.
51
The stats command is faster and more efficient than the transaction command.
52
Creates a table of the total count of mysterymeat corndogs split by user.
53
Event types can be tagged., Event types categorize events based on a search.
54
The extraction is private., The person in the organization running the report does not have access to the index.
55
Events will be returned from the data model named Application_State.
56
tag::<field>=<tagname>
57
stats
58
Search
59
Field aliases can be used in lookup file definitions.
60
Pivot is used for creating reports and dashboards.
61
Fields extracted using the Field Extractor persist as knowledge objects.
62
chart sum(price) as sales by product_name
63
Alerts, Email, Databases
64
Searches generated by workflow actions run with the same permissions as the user running them.
65
index=_internal sourcetype=SavedSplunker | fields sourcetype, status | transaction status maxspan=1d | timechart count by status
66
Creates a single event from a group of events.
67
Data models provide the datasets for pivots.
68
The user can define the time range of the search when created the workflow action.
69
stats, chart, timechart
70
Format values, Convert values, Perform calculations, Use conditional statements
71
Using the span argument.
72
Data models are created out of datasets called pivots., Pivot allows the creation of data visualizations that present different aspects of a data model.
73
Auto-Extracted fields can be hidden in Pivot., Auto-Extracted fields can be given a friendly name for use in Pivot., Auto-Extracted fields can be added if they already exist in the dataset with constraints.
74
Bubble chart
75
Normalizing data across a Splunk deployment.
76
Data model dataset name.
77
GET, POST, Search
78
tostring()
79
Extracted fields
80
Events, searches, and transactions.
81
To send field values to an external resource.
82
GET workflow actions can be configured to open the URI link in the current window or in a new window.
83
By selecting an event in search results and clicking Event Actions > Build Event Type., By going to the Settings menu and clicking Event Types > New.
84
chart
85
POST workflow actions can open a web page in either the same window or a new .
86
Pre-configured data models, Fields and event category tags
87
CSV
88
Two.
89
The description field would contain no value.
90
Advanced Search
91
Calculated fields are a shortcut for repetitive and complex eval commands.
92
Label, URI, post arguments.
93
Authentication
94
The first and last events are no more than 30 seconds apart, It groups events that share the same clientip and host.
95
0
96
When you need to group based on start and end constraints.
97
because _time is already implied as the x-axis., There is no limit specific to timechart.
98
sourcetype=access_* | stats max(bytes)
99
Verbose
100
Sourcetype=access_* |stats sum(categorylD) by host
問題一覧
1
It behaves exactly like search strings before the first pipe.
2
Create or replace an existing field.
3
A pipe may always follow a macro.
4
Events datasets, Search datasets, Transaction datasets
5
Pipes, Spaces
6
Knowledge Managers
7
Priority
8
'convert_sales(euro,€,.79)'
9
Event Actions > Extract Fields
10
There is a 1000 event limitation with the transaction command.
11
Turned off.
12
CIM is a methodology for normalizing data., CIM can correlate data from different sources., CIM is an app that can coexist with other apps on a single Splunk deployment.
13
Calculated fields
14
All events in a transaction must be related by one or more fields.
15
Commas, Spaces, Pipes
16
Events, searches, transactions.
17
In a field.
18
Calculated fields can be used in the search bar., Calculated fields can be based on an extracted field., Calculated fields are shortcuts for performing calculations using the eval command.
19
Extracted fields
20
When event grouping is based on start/end values.
21
Only events with the required string will be included in the extraction.
22
_time
23
| datamodel Web Web search | fields Web*
24
An additional field named duration is created., An additional field named eventcount is created., Events with the same JSESSIONID will be grouped together into a single event.
25
tag=Priv*
26
The macro name is sessiontracker(2) and the arguments are action, JESSIONID.
27
The macro's name ends with (3).
28
GET
29
Tags are based on field/value pairs., Tags are designed to make data more understandable.
30
Arguments are defined at execution time., Argument values are used to resolve the search string at execution time.
31
A name for the workflow action., A URI where the user will be directed at search time., A label that will appear in the Event Action menu at search time.
32
"hex" , "commas", "duration"
33
index=main source=mySource oldField=* |'makeMyField(oldField)'| table _time newField, index=main source=mySource oldField=* | stats if('makeMyField(oldField)') | table _time newField
34
Convert the numeric to a string with eval first, then sort.
35
Lookups, Field extractions
36
Accelerated data models cannot be edited., Private data models cannot be accelerated., You must have administrative permissions or the accelerate_datamodel capability to accelerate a data model.
37
By changing Stack Mode in the Format menu.
38
0
39
| chart count by vendor_action, user
40
Constraints and fields.
41
because _time is already implied as the x-axis.
42
Both will appear in the Interesting Fields list, but only if they appear in at least 20 percent of events.
43
A macro is a reusable search string that may have a flexible time range.
44
Field Extractions, Field Aliases, Lookups
45
When the search string needs to be used in future searches.
46
Sets the maximum total time between the earliest and latest events in a transaction.
47
Search string
48
index=main | transaction sessionid | search REJECT
49
It is no longer possible to edit the field extraction in the Field Extractor (FX) UI.
50
POST workflow actions can be configured to send POST arguments to the URI location.
51
The stats command is faster and more efficient than the transaction command.
52
Creates a table of the total count of mysterymeat corndogs split by user.
53
Event types can be tagged., Event types categorize events based on a search.
54
The extraction is private., The person in the organization running the report does not have access to the index.
55
Events will be returned from the data model named Application_State.
56
tag::<field>=<tagname>
57
stats
58
Search
59
Field aliases can be used in lookup file definitions.
60
Pivot is used for creating reports and dashboards.
61
Fields extracted using the Field Extractor persist as knowledge objects.
62
chart sum(price) as sales by product_name
63
Alerts, Email, Databases
64
Searches generated by workflow actions run with the same permissions as the user running them.
65
index=_internal sourcetype=SavedSplunker | fields sourcetype, status | transaction status maxspan=1d | timechart count by status
66
Creates a single event from a group of events.
67
Data models provide the datasets for pivots.
68
The user can define the time range of the search when created the workflow action.
69
stats, chart, timechart
70
Format values, Convert values, Perform calculations, Use conditional statements
71
Using the span argument.
72
Data models are created out of datasets called pivots., Pivot allows the creation of data visualizations that present different aspects of a data model.
73
Auto-Extracted fields can be hidden in Pivot., Auto-Extracted fields can be given a friendly name for use in Pivot., Auto-Extracted fields can be added if they already exist in the dataset with constraints.
74
Bubble chart
75
Normalizing data across a Splunk deployment.
76
Data model dataset name.
77
GET, POST, Search
78
tostring()
79
Extracted fields
80
Events, searches, and transactions.
81
To send field values to an external resource.
82
GET workflow actions can be configured to open the URI link in the current window or in a new window.
83
By selecting an event in search results and clicking Event Actions > Build Event Type., By going to the Settings menu and clicking Event Types > New.
84
chart
85
POST workflow actions can open a web page in either the same window or a new .
86
Pre-configured data models, Fields and event category tags
87
CSV
88
Two.
89
The description field would contain no value.
90
Advanced Search
91
Calculated fields are a shortcut for repetitive and complex eval commands.
92
Label, URI, post arguments.
93
Authentication
94
The first and last events are no more than 30 seconds apart, It groups events that share the same clientip and host.
95
0
96
When you need to group based on start and end constraints.
97
because _time is already implied as the x-axis., There is no limit specific to timechart.
98
sourcetype=access_* | stats max(bytes)
99
Verbose
100
Sourcetype=access_* |stats sum(categorylD) by host