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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating and Using Field Aliases and Calculated Fields | 10% | - Create calculated fields with eval - Define and use field aliases - Manage field extractions and aliases |
| Topic 2: Using the Common Information Model (CIM) Add-On | 5% | - Use CIM to standardize data across sources - Normalize data using CIM knowledge objects - Describe Splunk CIM purpose and structure |
| Topic 3: Correlating Events | 15% | - Identify and use transactions - Group events by fields and time - Compare transactions vs stats commands |
| Topic 4: Creating and Using Workflow Actions | 10% | - Describe GET, POST, and Search workflow actions - Use workflow actions to extend searches - Create and configure workflow actions |
| Topic 5: Using Macros | 10% | - Manage macro permissions and sharing - Add and use arguments in macros - Create and reuse search macros |
| Topic 6: Filtering and Formatting Results | 15% | - Sort, rename, and limit results - Use fillnull, eval, and other formatting commands - Use search and where commands |
| Topic 7: Transforming Commands and Visualizations | 15% | - Create and customize visualizations - Use transforming commands to structure data - Format results for presentation |
| Topic 8: Creating Tags and Event Types | 10% | - Create and apply tags to fields or values - Define event types to categorize events - Use tags and event types in searches |
| 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 # 238
When using the Field Extractor (FX), which of the following delimiters will work? (select all that apply)
Answer: A,C,D
Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep
https://community.splunk.com/t5/Splunk-Search/Field-Extraction-Separate-on-Colon/m-p/29751 The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or regular expressions. Delimiters are characters or strings that separate fields in your data. Some of the delimiters that will work with FX are:
Tabs: horizontal spaces that align text in columns.
Pipes: vertical bars that often indicate logical OR operations.
Spaces: blank characters that separate words or symbols.
Therefore, the delimiters A, B, and D will work with FX.
NEW QUESTION # 239
Which of the following is the correct way to use the data model command to search field in the data model within the web dataset?
Answer: B
NEW QUESTION # 240
Which of the following statements describes POST workflow actions?
Answer: A
Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaPOSTworkflowaction
NEW QUESTION # 241
Which field will be used to populate the field if the productName and product:d fields have values for a given event?
Answer: A
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.
Reference:
Search Command> Coalesce
USAGE OF SPLUNK EVAL FUNCTION : COALESCE
NEW QUESTION # 242
If a search returns ____________ it can be viewed as a chart.
Answer: A
Explanation:
Explanation
If a search returns statistics, it can be viewed as a chart2. Statistics are tabular data that show the relationship between two or more fields2. You can create statistics by using commands such as stats, chart or timechart2. You can view statistics as a chart by selecting the Visualization tab in the Search app and choosing a chart type such as column, line or pie2. Therefore, option B is correct, while options A, C and D are incorrect because they are not types of data that can be viewed as a chart.
NEW QUESTION # 243
......
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