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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating and Using Workflow Actions | 10% | - Describe GET, POST, and Search workflow actions - Create and configure workflow actions - Use workflow actions to extend searches |
| Topic 2: Using Macros | 10% | - Create and reuse search macros - Add and use arguments in macros - Manage macro permissions and sharing |
| Topic 3: Creating and Using Field Aliases and Calculated Fields | 10% | - Manage field extractions and aliases - Define and use field aliases - Create calculated fields with eval |
| Topic 4: Transforming Commands and Visualizations | 15% | - Format results for presentation - Create and customize visualizations - Use transforming commands to structure data |
| Topic 5: Filtering and Formatting Results | 15% | - Use search and where commands - Sort, rename, and limit results - Use fillnull, eval, and other formatting commands |
| Topic 6: Using the Common Information Model (CIM) Add-On | 5% | - Normalize data using CIM knowledge objects - Describe Splunk CIM purpose and structure - Use CIM to standardize data across sources |
| Topic 7: Correlating Events | 15% | - Identify and use transactions - Compare transactions vs stats commands - Group events by fields and time |
| Topic 8: Creating Tags and Event Types | 10% | - Define event types to categorize events - Create and apply tags to fields or values - Use tags and event types in searches |
| Topic 9: Creating Data Models | 10% | - Understand data models and Pivot - Define data model objects and attributes - Create and use data models |
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NEW QUESTION # 44
The time range specified for a historical search defines the ____________ .------questionable on ans
Answer: B
Explanation:
The time range specified for a historical search defines the amount of data fetched from the index matching
that time range2. A historical search is a search that runs over a fixed period of time in the past2. When you
run a historical search, Splunk searches the index for events that match your search string and fall within the
specified time range2. Therefore, option B is correct, while options A and C are incorrect because they are not
what the time range defines for a historical search.
NEW QUESTION # 45
Which of the following transforming commands can be used with transactions?
Answer: A
Explanation:
The correct answer is A. chart, timechart, stats, eventstats.
Transforming commands are commands that change the format of the search results into a table or a chart.
They can be used to perform statistical calculations, create visualizations, or manipulate data in various ways1.
Transactions are groups of events that share some common values and are related in some way. Transactions can be defined by using the transaction command or by creating a transaction type in the transactiontypes.conf file2.
Some transforming commands can be used with transactions to create tables or charts based on the transaction fields. These commands include:
* chart: This command creates a table or a chart that shows the relationship between two or more fields. It
* can be used to aggregate values, count occurrences, or calculate statistics3.
* timechart: This command creates a table or a chart that shows how a field changes over time. It can be used to plot trends, patterns, or outliers4.
* stats: This command calculates summary statistics on the fields in the search results, such as count, sum, average, etc. It can be used to group and aggregate data by one or more fields5.
* eventstats: This command calculates summary statistics on the fields in the search results, similar to stats, but it also adds the results to each event as new fields. It can be used to compare events with the overall statistics.
These commands can be applied to transactions by using the transaction fields as arguments. For example, if you have a transaction type named "login" that groups events based on the user field and has fields such as duration and eventcount, you can use the following commands with transactions:
* | chart count by user : This command creates a table or a chart that shows how many transactions each user has.
* | timechart span=1h avg(duration) by user : This command creates a table or a chart that shows the average duration of transactions for each user per hour.
* | stats sum(eventcount) as total_events by user : This command creates a table that shows the total number of events for each user across all transactions.
* | eventstats avg(duration) as avg_duration : This command adds a new field named avg_duration to each transaction that shows the average duration of all transactions.
The other options are not valid because they include commands that are not transforming commands or cannot be used with transactions. These commands are:
* diff: This command compares two search results and shows the differences between them. It is not a transforming command and it does not work with transactions.
* datamodel: This command retrieves data from a data model, which is a way to organize and categorize data in Splunk. It is not a transforming command and it does not work with transactions.
* pivot: This command creates a pivot report, which is a way to analyze data from a data model using a graphical interface. It is not a transforming command and it does not work with transactions.
References:
* About transforming commands
* About transactions
* chart command overview
* timechart command overview
* stats command overview
* [eventstats command overview]
* [diff command overview]
* [datamodel command overview]
* [pivot command overview]
NEW QUESTION # 46
Which of the following statements describes the use of the Filed Extractor (FX)?
Answer: A
Explanation:
Explanation
The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical interface or by manually editing the regular expression2. The FX allows you to create field extractions that persist as knowledge objects, which are entities that you create to add knowledge to your data and make it easier to search and analyze2. Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs2. When you create a field extraction using the FX, you can save it as a knowledge object that applies to your data at search time2. You can also manage and share your field extractions with other users in your organization2. Therefore, option C is correct, while options A, B and D are incorrect because they do not describe the use of the FX.
NEW QUESTION # 47
What fields does the transaction command add to the raw events? (select all that apply)
Answer: B,D
Explanation:
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The correct answers are B. duration and D. transaction id.
The explanation is as follows:
The transaction command is a Splunk command that finds 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 member12.
The transaction command adds some fields to the raw events that are part of the transaction123. These fields are:
duration: The difference, in seconds, between the timestamps for the first and last events in the transaction123.
eventcount: The number of events in the transaction123.
transaction_id: A unique identifier for each transaction3. This field is useful for filtering or joining transactions3.
Therefore, the fields that the transaction command adds to the raw events are duration and transaction_id, which are options B and D in your question.
NEW QUESTION # 48
Which of the following statements about event types is true? (select all that apply)
Answer: A,B,D
Explanation:
Reference:
As mentioned before, an event type is a way to categorize events based on a search string that matches the events2. Event types can be tagged, which means that you can apply descriptive labels to event types and use them in your searches2. Therefore, option A is correct. Event types categorize events based on a search string, which means that you can define an event type by specifying a search string that matches the events you want to include in the event type2. Therefore, option C is correct. Event types can be a useful method for capturing and sharing knowledge, which means that you can use event types to organize your data into meaningful categories and share them with other users in your organization2. Therefore, option D is correct. Event types do not have to include a time range, which means that you can create an event type without specifying a time range for the events2. Therefore, option B is incorrect.
NEW QUESTION # 49
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