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Splunk SPLK-1002 Exam Syllabus Topics:

Section	Weight	Objectives
Correlating Events	15%	- Event correlation techniques 1. Group events using fields and time 2. Group events using fields 3. Report on transactions 4. Search with transactions 5. Identify transactions 6. When to use transactions vs stats
Data Models	10%	- Data model concepts 1. Pivot usage 2. Data model structure 3. Create data models 4. Data model attributes
Workflow Actions	10%	- Workflow action types 1. GET workflow actions 2. POST workflow actions 3. Search workflow actions
Macros	10%	- Search macros 1. Create and use basic macros 2. Macros with arguments
Common Information Model (CIM)	10%	- Data normalization 1. Purpose of CIM 2. Using CIM add-ons 3. Data normalization techniques
Tags and Event Types	10%	- Knowledge objects 1. Create event types 2. Event types usage 3. Create and use tags
Filtering and Formatting Results	10%	- Search and evaluation commands 1. search command 2. eval command 3. fillnull command 4. where command
Using Transforming Commands for Visualizations	5%	- Visualization commands 1. timechart command 2. chart command
Creating and Managing Fields	10%	- Field extraction methods 1. Regex field extraction using Field Extractor (FX) 2. Delimiter field extraction using Field Extractor (FX)
Field Aliases and Calculated Fields	10%	- Field enrichment 1. Calculated fields 2. Field aliases

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Splunk Core Certified Power User Exam Sample Questions (Q252-Q257):

NEW QUESTION # 252
Which of the following are valid options to speed up reports? (Select all the apply.)

A. Edit description
B. Edit permissions
C. Edit acceleration
D. Edit schedule

Answer: C

NEW QUESTION # 253
Which of the following is true about data model attributes?

A. They can only be added into a root search dataset.
B. They cannot be created within the data model.
C. They can be added to a dataset from search time field extractions.
D. They cannot be edited if inherited from a parent dataset.

Answer: C

Explanation:
Data model attributes are fields that are added to a dataset from search time field extractions, calculated fields, lookups, or aliases. They can be created within the data model editor or inherited from a parent dataset. They can be edited or removed unless they are required by the data model. They can be added to any type of dataset, not just root search datasets.ReferencesSee About data models, [Define data model attributes], and [Edit data model datasets] in the Splunk Documentation.

NEW QUESTION # 254
Fast, optimized and verbose are all selectable search modes.

A. False
B. True

Answer: A

NEW QUESTION # 255
When should transaction be used?

A. When calculating results from one or more fields.
B. Only in a large distributed Splunk environment.
C. When event grouping is based on start/end values.
D. When grouping events results in over 1000 events in each group.

Answer: A

Explanation:
Reference:
https://docs.splunk.com/Documentation/Splunk/8.0.3/Search/Abouttransactions

NEW QUESTION # 256
Which of the following transforming commands can be used with transactions?
chart, timechart, stats, eventstats
chart, timechart, stats, diff
chart, timeehart, datamodel, pivot
chart, timecha:t, stats, pivot

A. chart, timechart, stats, eventstats.

Answer: A

Explanation:
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.
Explanation:
The correct answer is
Reference:
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 # 257
......

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