SPLK-1002 Online Practice Questions and Answers

Correct Answer: BCD

The command sourcetype=access_combined | transaction JSESSIONID does three things:

It filters the events by the sourcetype access_combined, which is a predefined sourcetype for Apache web server logs.

It groups the events by the field JSESSIONID, which is a unique identifier for each user session.

It creates a single event from each group of events that share the same JSESSIONID value. This single event will have some additional fields created by the transaction command, such as duration, eventcount, and startime.

Therefore, the statements B, C, and D are true.

Correct Answer: D

The Splunk Common Information Model (CIM) is a collection of data models that apply a common structure and naming convention to data from any source. A data model is a type of knowledge object that defines the structure and relationships of fields in a dataset. A data model can have one or more datasets, which are subsets of the data model that represent different aspects of the data. For example, the Network Traffic data model has datasets such as All Traffic, DNS, HTTP, etc. The CIM contains 28 pre-configured data models that cover various domains such as authentication, network traffic, web, email, etc. The CIM is implemented as an add-on that contains the JSON files for the data models, documentation, and tools that support the consistent, normalized treatment of data for maximum efficiency at search time23

1: Splunk Core Certified Power User Track, page 10. 2: Splunk Documentation, Overview of the Splunk Common Information Model 1. 3: Splunkbase, Splunk Common Information Model (CIM) 2.

Correct Answer: D

Correct Answer: A

Correct Answer: B

There are several ways to access the field extractor. The option that automatically identifies data type, source type, and sample event is Fields sidebar > Extract New Field. The field extractor is a tool that helps you extract fields from your

data using delimiters or regular expressions. The field extractor can generate a regex for you based on your selection of sample values or you can enter your own regex in the field extractor. The field extractor can be accessed by using

various methods, such as:

Fields sidebar > Extract New Field: This is the easiest way to access the field extractor. The fields sidebar is a panel that shows all available fields for your data and their values. When you click on Extract New Field in the fields sidebar,

Splunk will automatically identify the data type, source type, and sample event for your data based on your current search criteria. You can then use the field extractor to select sample values and generate a regex for your new field. Event

Actions > Extract Fields: This is another way to access the field extractor. Event actions are actions that you can perform on individual events in your search results, such as viewing event details, adding to report, adding to dashboard, etc.

When you click on Extract Fields in the event actions menu, Splunk will use the current event as the sample event for your data and ask you to select the source type and data type for your data. You can then use the field extractor to select

sample values and generate a regex for your new field. Settings > Field Extractions > New Field Extraction: This is a more advanced way to access the field extractor. Settings is a menu that allows you to configure various aspects of Splunk,

such as indexes, inputs, outputs, users, roles, apps, etc. When you click on New Field Extraction in the Settings menu, Splunk will ask you to enter all the details for your new field extraction manually, such as app context, name, source type,

data type, sample event, regex, etc. You can then use the field extractor to verify or modify your regex for your new field.

Correct Answer: A

Correct Answer: A

Correct Answer: A

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]

Correct Answer: C

One of the valid options to speed up reports is to edit acceleration, which means that you can enable summary indexing or data model acceleration for your reports to improve their performance2. Summary indexing allows you to create reports that run over large amounts of data by storing the results of scheduled searches in a summary index and using that index for faster reporting2. Data model acceleration allows you to create reports that use data models by creating and storing summaries of the data model datasets and using them for faster reporting2. Therefore, option C is correct, while options A, B and D are incorrect because they are not options to speed up reports.

Correct Answer: A