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| Section | Weight | Objectives |
|---|---|---|
| Creating and Using Macros | 10% | - Create and use a basic macro - Describe macros - Define arguments and variables for a macro - Add and use arguments with a macro |
| Filtering and Formatting Results | 10% | - The eval command - Use the search and where commands to filter results - The fillnull command |
| Using Transforming Commands for Visualizations | 5% | - Use the chart command - Use the timechart command |
| Creating Field Aliases and Calculated Fields | 10% | - Describe, create, and use field aliases - Describe, create, and use calculated fields |
| Creating Data Models | 10% | - Describe the relationship between data models and pivot - Create a data model - Identify data model attributes |
| Creating and Managing Fields | 10% | - Perform delimiter field extractions using the FX - Perform regex field extractions using the Field Extractor (FX) |
| Correlating Events | 15% | - Identify transactions - Group events using fields - Group events using fields and time - Search with transactions - Determine when to use transactions vs. stats - Report on transactions |
| Creating and Using Workflow Actions | 10% | - Create a POST workflow action - Create a Search workflow action - Create a GET workflow action - Describe the function of GET, POST, and Search workflow actions |
| Creating Tags and Event Types | 10% | - Create and use tags - Create an event type - Describe event types and their uses |
| Using the Common Information Model (CIM) Add-On | 10% | - Describe the use of the CIM Add-On - Describe the Splunk CIM |
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NEW QUESTION # 104
Which of the following can be used with the eval command tostring function (select all that apply)
Answer: B,C,D
Explanation:
Reference:
https://splunkonbigdata.com/2018/10/27/usage-of-splunk-eval-function-tostring/
NEW QUESTION # 105
Which of the following statements about calculated fields in Splunk is true?
Answer: B
Explanation:
Explanation
The correct answer is B. Calculated fields can be chained together to create more complex fields.
Calculated fields are fields that are added to events at search time by using eval expressions. They can be used to perform calculations with the values of two or more fields already present in those events. Calculated fields can be defined with Splunk Web or in the props.conf file. They can be used in searches, reports, dashboards, and data models like any other extracted field1.
Calculated fields can also be chained together to create more complex fields. This means that you can use a calculated field as an input for another calculated field. For example, if you have a calculated field named total that sums up the values of two fields named price and tax, you can use the total field to create another calculated field named discount that applies a percentage discount to the total field. To do this, you need to define the discount field with an eval expression that references the total field, such as:
discount = total * 0.9
This will create a new field named discount that is equal to 90% of the total field value for each event2.
References:
About calculated fields
Chaining calculated fields
NEW QUESTION # 106
Which field will be used to populate the field if the productName and product:d fields have values for a given event?
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.
Reference:
Search Command> Coalesce
USAGE OF SPLUNK EVAL FUNCTION : COALESCE
NEW QUESTION # 107
These kinds of charts represent a series in a single bar with multiple sections
Answer: D
NEW QUESTION # 108
Which of the following statements is true about the root dataset of a data model?
Answer: A
Explanation:
In Splunk, a data model's root dataset is the foundational element upon which the rest of the data model is built. The root dataset can be of various types, including search, transaction, or event-based datasets. One of the key features of the root dataset is that it automatically inherits the knowledge objects associated with its base search. These knowledge objects include field extractions, lookups, aliases, and calculated fields that are defined for the base search, ensuring that the root dataset has all necessary contextual information from the outset. This allows users to build upon this dataset with additional child datasets and objects without having to redefine the base search's knowledge objects.
NEW QUESTION # 109
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