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NEW QUESTION 1

When used with the timechart command, which value of the limit argument returns all values?

• A. limit=*
• B. limit=all
• C. limit=none
• D. limit=0

Answer: D

Explanation:
The correct answer is D. limit=0. This is because the limit argument specifies the maximum number of series to display in the chart. If you set limit=0, no series filtering occurs and all values are returned. You can learn more about the limit argument and how it works with the agg argument from the Splunk documentation1. The other options are incorrect because they are not valid values for the limit argument. The limit argument expects an integer value, not a string or a wildcard. You can learn more about the syntax and usage of the timechart command from the Splunk documentation23.

NEW QUESTION 2

Which workflow uses field values to perform a secondary search?

• A. POST
• B. Action
• C. Search
• D. Sub-Search

Answer: C

Explanation:
https://docs.splunk.com/Documentation/Splunk/8.0.2/Knowledge/CreateworkflowactionsinSplunkWeb

NEW QUESTION 3

What do events in a transaction have In common?

• A. All events In a transaction must have the same timestamp.
• B. All events in a transaction must have the same sourcetype.
• C. All events in a transaction must have the exact same set of fields.
• D. All events in a transaction must be related by one or more fields.

Answer: D

Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Abouttransactions
A transaction is a group of events that share some common characteristics, such as fields, time, or both. A transaction can be created by using the transaction command or by defining an event type with transactiontype=true in props.conf. Events in a transaction have one or more fields in common that relate them to each other. For example, you can create a transaction based on JSESSIONID, which is a unique identifier for each user session in web logs. Events in a transaction do not have to have the same timestamp, sourcetype, or exact same set of fields. They only have to share one or more fields that define the transaction.

NEW QUESTION 4

Which of the following file formats can be extracted using a delimiter field extraction?

• A. CSV
• B. PDF
• C. XML
• D. JSON

Answer: A

Explanation:
A delimiter field extraction is a method of extracting fields from data that uses a character or a string to separate fields in each event. A delimiter field extraction can be performed by using the Field Extractor (FX) tool or by editing the props.conf file. A delimiter field extraction can be applied to any file format that uses a delimiter to separate fields, such as CSV, TSV, PSV, etc. A CSV file is a comma-separated values file that uses commas as delimiters. Therefore, a CSV file can be extracted using a delimiter field extraction.

NEW QUESTION 5

Why would the following search produce multiple transactions instead of one?

• A. The maxspan option is not included.
• B. The transaction command has a limit of 1000 events per transaction.
• C. The transaction and commands cannot be used together.
• D. The stats list () function is used.

Answer: A

Explanation:
The correct answer is A. The maxspan option is not included1.
In Splunk, the transaction command is used to group events that share common characteristics into a single transaction1. By default, the transaction command groups all matching events into a single transaction1.
However, you can use the maxspan option to limit the time span of the transactions1. If the time span between the first and last event in a transaction exceeds the maxspan value, the transaction command will start a new transaction1.
Therefore, if the maxspan option is not included in the search, the transaction command might produce multiple transactions instead of one if the time span between the first and last event in a transaction exceeds the default maxspan value1.
Here is an example of how you can use the maxspan option in a search:
index=main sourcetype=access_combined | transaction someuniqefield maxspan=1h
In this search, the transaction command groups events that share the same someuniqefield value into a single transaction, but only if the time span between the first and last event in the transaction does not exceed 1 hour1. If the time span exceeds 1 hour, the transaction command will start a new transaction1.

NEW QUESTION 6

Which of the following statements describes an event type?

• A. A log level measurement: info, warn, error.
• B. A knowledge object that is applied before fields are extracted.
• C. A field for categorizing events based on a search string.
• D. Either a log, a metric, or a trace.

Answer: C

Explanation:
This is because an event type is a knowledge object that assigns a user-defined name to a set of events that match a specific search criteria. For example, you can create an event type named successful_purchase for events that have sourcetype=access_combined, status=200, and action=purchase. Then, you can use eventtype=successful_purchase as a search term to find those events. You can also use event types to create alerts, reports, and dashboards. You can learn more about event types from the Splunk documentation1. The other options are incorrect because they do not describe what an event type is. A log level measurement is a field that indicates the severity of an event, such as info, warn, or error. A knowledge object that is applied before fields are extracted is a source type, which identifies the format and structure of the data. Either a log, a metric, or a trace is a type of data that Splunk can ingest and analyze, but not an event type.

NEW QUESTION 7

What happens when a user edits the regular expression (regex) field extraction generated in the Field Extractor (FX)?

• A. There is a limit to the number of fields that can be extracted.
• B. The user is unable to preview the extractions.
• C. The extraction is added at index time.
• D. The user is unable to return to the automatic field extraction workflow.

Answer: A

NEW QUESTION 8

Which tool uses data models to generate reports and dashboard panels without using SPL?

• A. Visualization tab
• B. Pivot
• C. Datasets
• D. splunk CIM

Answer: B

Explanation:
The correct answer is B. Pivot1.
In Splunk, Pivot is a tool that uses data models to generate reports and dashboard panels without the need for users to write or understand Splunk’s Search Processing Language (SPL)1. Data models enable users of Pivot to create compelling reports and dashboards1. When a Pivot user designs a pivot report, they select the data model that represents the category of event data that they want to work with1. Then they select a dataset within that data model that represents the specific dataset on which they want to report1. This makes Pivot a powerful tool for users who need to create visualizations but do not have a deep understanding of SPL1.

NEW QUESTION 9

Which statement is true?

• A. Pivot is used for creating datasets.
• B. Data models are randomly structured datasets.
• C. Pivot is used for creating reports and dashboards.
• D. In most cases, each Splunk user will create their own data model.

Answer: C

Explanation:
The statement that pivot is used for creating reports and dashboards is true. Pivot is a graphical interface that allows you to create tables, charts, and visualizations from data models. Data models are structured datasets that define how data is organized and categorized. Pivot does not create datasets, but uses existing ones.

NEW QUESTION 10

Which of the following knowledge objects represents the output of an eval expression?

• A. Eval fields
• B. Calculated fields
• C. Field extractions
• D. Calculated lookups

Answer: B

Explanation:
Reference: https://docs.splunk.com/Splexicon:Calculatedfield
The eval command is used to create new fields or modify existing fields based on an expression2. The output of an eval expression is a calculated field, which is a field that you create based on the value of another field or fields2. You can use calculated fields to enrich your data with additional information or to transform your data into a more useful format2. Therefore, option B is correct, while options A, C and D are incorrect because they are not names of knowledge objects that represent the output of an eval expression.

NEW QUESTION 11

What is the correct way to name a macro with two arguments?

• A. us_sales2
• B. us_sales(1,2)
• C. us_sale,2
• D. us_sales(2)

Answer: D

NEW QUESTION 12

When defining a macro, what are the required elements?

• A. Name and arguments.
• B. Name and a validation error message.
• C. Name and definition.
• D. Definition and arguments.

Answer: C

Explanation:
When defining a search macro, the required elements are the name and the definition of the macro. The name is a unique identifier for the macro that can be used to invoke it in other searches. The definition is the search string that the macro expands to when referenced. The arguments, validation expression, and validation error message are optional elements that can be used to customize the macro behavior and input validation2
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, Define search macros in Settings.

NEW QUESTION 13

Where are the results of eval commands stored?

• A. In a field.
• B. In an index.
• C. In a KV Store.
• D. In a database.

Answer: A

Explanation:
https://docs.splunk.com/Documentation/Splunk/8.0.2/SearchReference/Eval
The eval command calculates an expression and puts the resulting value into a search results field.
If the field name that you specify does not match a field in the output, a new field is added to the search results.
If the field name that you specify matches a field name that already exists in the search results, the results of the eval expression overwrite the values in that field.

NEW QUESTION 14

The timechart command is an example of which of the following command types?

• A. Orchestrating
• B. Transforming
• C. Statistical
• D. Generating

Answer: B

Explanation:
The correct answer is B. Transforming. The explanation is as follows:
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.

NEW QUESTION 15

Which of the following transforming commands can be used with transactions?

• A. chart, timechart, stats, eventstats
• B. chart, timechart, stats, diff
• C. chart, timeehart, datamodel, pivot
• D. chart, timecha:t, stats, pivot

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 16

Which of the following is a feature of the Pivot tool?

• A. Creates lookups without using SPL.
• B. Data Models are not required.
• C. Creates reports without using SPL
• D. Datasets are not required.

Answer: C

Explanation:
The correct answer is C. Creates reports without using SPL. This is because the Pivot tool is a feature of Splunk that allows you to report on a specific data set without using the Splunk Search Processing Language (SPL). You can use a drag-and-drop interface to design and generate pivots that present different aspects of your data in the form of tables, charts, and other visualizations. You can learn more about the Pivot tool from the Splunk documentation1 or watch a video tutorial2. The other options are incorrect because they do not describe the features of the Pivot tool. The Pivot tool requires data models and datasets to define the data that you want to work with. Data models and datasets are designed by the knowledge managers in your organization. You can learn more about data models and datasets from the Splunk documentation3. The Pivot tool does not create lookups, which are tables that match field values to other field values. You can create lookups using SPL or the Lookup Editor. You can learn more about lookups from the Splunk documentation.

NEW QUESTION 17

Which command is used to create choropleth maps?

• A. geostats
• B. cluster
• C. geom

Answer: C

NEW QUESTION 18

When using the transaction command, what does the argument maxspan do?

• A. Sets the maximum total time between events in a transaction.
• B. Sets the maximum length of all events within a transaction.
• C. Sets the maximum total time between the earliest and latest events in a transaction.
• D. Sets the maximum length that any single event can reach to be included in the transaction.

Answer: C

Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/SearchReference/Transaction

NEW QUESTION 19

When performing a regular expression (regex) field extraction using the Field Extractor (FX), what happens when the require option is used?

• A. The regex can no longer be edited.
• B. The field being extracted will be required for all future events.
• C. The events without the required field will not display in searches.
• D. Only events with the required string will be included in the extraction.

Answer: D

Explanation:
The Field Extractor (FX) allows you to use regular expressions (regex) to extract fields from your events using a graphical interface or by manually editing the regex2. When you use the FX to perform a regex field extraction, you can use the require option to specify a string that must be present in an event for it to be included in the extraction2. This way, you can filter out events that do not contain the required string and focu on the events that are relevant for your extraction2. Therefore, option D is correct, while options A, B and C are incorrect.

NEW QUESTION 20

A user wants to convert numeric field values to strings and also to sort on those values. Which command should be used first, the eval or the sort?

• A. It doesn't matter whether eval or sort is used first.
• B. Convert the numeric to a string with eval first, then sort.
• C. Use sort first, then convert the numeric to a string with eval.
• D. You cannot use the sort command and the eval command on the same field.

Answer: C

Explanation:
The eval command is used to create new fields or modify existing fields based on an expression2. The sort command is used to sort the results by one or more fields in ascending or descending order2. If you want to convert numeric field values to strings and also sort on those values, you should use the sort command first, then use the eval command to convert the values to strings2. This way, the sort command will use the original numeric values for sorting, rather than the converted string values which may not sort correctly. Therefore, option C is correct, while options A, B and D are incorrect.

NEW QUESTION 21
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