The transaction command is used to find transactions based on events that meet various constraints12.
Transactions are made up of the raw text (the _raw field) of each member, the time and date fields of the earliest member, as well as the union of all other fields of each member1.
The startswith option is used to define the first event in a transaction by specifying a search term or an expression that matches the event13.
For example, | transaction clientip JSESSIONID startswith="view" will create transactions based on the clientip and JSESSIONID fields, and the first event in each transaction will contain the term “view” in the _raw field2.
Question # 5
How do event types help a user search their data?
Options:
A.
Event types can optimize data storage.
B.
Event types improve dashboard performance.
C.
Event types improve search performance.
D.
Event types categorize events based on a search string.
Event types allow users to assign labels to events based on predefined search strings. This helps categorize data and makes it easier to reference specific sets of events in future searches.
Event types in Splunk are saved as static search strings. The example index=server_485 sourcetype=BETA_726 code=917 is a simple search that can be saved as an event type, as it does not contain dynamic processing commands like stats or inputlookup, which are not valid for event types.
The timechart command is a Splunk command that creates a time series chart with corresponding table of statistics12.
A timechart is a statistical aggregation applied to a field to produce a chart, with time used as the X-axis1. You can specify a split-by field, where each distinct value of the split-by field becomes a series in the chart1.
Transforming commands are commands that change the format of the search results into a data structure that can be easily visualized3. Transforming commands often use stats functions to aggregate and summarize data3.
Therefore, the timechart command is an example of a transforming command, as it transforms the search results into a chart and a table using stats functions123.
Question # 8
When creating a Search workflow action, which field is required?
[Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Setupasearchworkflowaction, A workflow action is a link that appears when you click an event field value in your search results2. A workflow action can open a web page or run another search based on the field value2. There are two types of workflow actions: GET and POST2. A GET workflow action appends the field value to the end of a URI and opens it in a web browser2. A POST workflow action sends the field value as part of an HTTP request to a web server2. When creating a Search workflow action, which is a type of GET workflow action that runs another search based on the field value, the only required field is the search string2. The search string defines the search that will be run when the workflow action is clicked2. Therefore, option A is correct, while options B, C and D are incorrect because they are not required fields for creating a Search workflow action., , , , , ]
Question # 9
What does the following search do?
Options:
A.
Creates a table of the total count of users and split by corndogs.
B.
Creates a table of the total count of mysterymeat corndogs split by user.
C.
Creates a table with the count of all types of corndogs eaten split by user.
D.
Creates a table that groups the total number of users by vegetarian corndogs.
The search string below creates a table of the total count of mysterymeat corndogs split by user.
| stats count by user | where corndog=mysterymeat
The search string does the following:
It uses the stats command to calculate the count of events for each value of the user field. The stats command creates a table with two columns: user and count.
It uses the where command to filter the results by the value of the corndog field. The where command only keeps the rows where corndog equals mysterymeat.
Therefore, the search string creates a table of the total count of mysterymeat corndogs split by user.
Question # 10
Which of the following statements is true about the root dataset of a data model?
Options:
A.
It can contain transforming commands as long as it is a root search dataset.
B.
It will automatically contain knowledge objects associated with the base search.
C.
It must contain the transaction command if it is a root transaction dataset.
D.
It can only contain a base search with no transforming commands.
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.
Question # 11
How are event types different from saved reports?
Options:
A.
Event types cannot be used to organize data into categories.
B.
Event types include formatting of the search results.
C.
Event types can be shared with Splunk users and added to dashboards.
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The correct answer is D. Event types do not include a time range.
The explanation is as follows:
Event types are a categorization system that help you make sense of your data by matching events with the same search string1. Event types are applied to events at search time and can be used as search terms or filters12.
Saved reports are results saved from a search action that can show statistics and visualizations of events3. Saved reports can be run anytime, and they fetch fresh results each time they are run34. Saved reports can be shared with other users and added to dashboards4.
The main difference between event types and saved reports is that event types do not include a time range, while saved reports do14. This means that event types can match events from any time period, while saved reports are limited by the time range specified when they are created or run14.
Question # 12
What does the transaction command do?
Options:
A.
Groups a set of transactions based on time.
B.
Creates a single event from a group of events.
C.
Separates two events based on one or more values.
D.
Returns the number of credit card transactions found in the event logs.
The transaction command is a search command that creates a single event from a group of events that share some common characteristics. The transaction command can group events based on fields, time, or both. The transaction command can also create some additional fields for each transaction, such as duration, eventcount, startime, etc. The transaction command does not group a set of transactions based on time, but rather groups a set of events into a transaction based on time. The transaction command does not separate two events based on one or more values, but rather joins multiple events based on one or more values. The transaction command does not return the number of credit card transactions found in the event logs, but rather creates transactions from the events that match the search criteria.
Question # 13
Which of the following definitions describes a macro named "samplemacro" that accepts two arguments?
Macros in Splunk are defined with the number of arguments inside parentheses after the macro name. For two arguments, the syntax is samplemacro(2). This defines a macro accepting two arguments.
[Reference:, Splunk Power User Study Guide, Knowledge Objects Section, Splunk Docs: Macros, "Macros with arguments are declared with the number of arguments inside parentheses.", , , , , ]
