Renewal SPLK-1002 Free Exam For Splunk Core Certified Power User Exam Certification

NEW QUESTION 1

This function of the stats command allows you to return the sample standard deviation of a field.

• A. stdev
• B. dev
• C. count deviation
• D. by standarddev

Answer: A

NEW QUESTION 2

A report scheduled to run every 15 mins. but takes 17 mins. to complete is in danger of being _____.

• A. skipped or deferred
• B. automatically accelerated
• C. deleted
• D. all of the above

Answer: A

Explanation:
A report that is scheduled to run every 15 minutes but takes 17 minutes to complete is in danger of being skipped or deferred2. This means that Splunk may skip some scheduled runs of the report if they overlap with previous runs that are still in progress or defer them until the previous runs are finished2. This can affect the accuracy and timeliness of the report results and notifications2. Therefore, option A is correct, while options B, C and D are incorrect because they are not consequences of a report taking longer than its schedule interval.

NEW QUESTION 3

Which of the following statements are true for this search? (Select all that apply.)
SEARCH: sourcetype=access* |fields action productld status

• A. is looking for all events that include the search terms: fields AND action AND productld AND status
• B. users the table command to improve performance
• C. limits the fields are extracted
• D. returns a table with 3 columns

Answer: C

NEW QUESTION 4

After manually editing; a regular expression (regex), which of the following statements is true?

• A. Changes made manually can be reverted in the Field Extractor (FX) UI.
• B. It is no longer possible to edit the field extraction in the Field Extractor (FX) UI.
• C. It is not possible to manually edit a regular expression (regex) that was created using the Field Extractor (FX) UI.
• D. The Field Extractor (FX) UI keeps its own version of the field extraction in addition to the one that was manually edited.

Answer: B

Explanation:
After manually editing a regular expression (regex) that was created using the Field Extractor (FX) UI, it is no longer possible to edit the field extraction in the FX UI. The FX UI is a tool that helps you extract fields from your data using delimiters or regular expressions. The FX UI can generate a regex for you based on your selection of sample values or you can enter your own regex in the FX UI. However, if you edit the regex manually in the props.conf file, the FX UI will not be able to recognize the changes and will not let you edit the field extraction in the FX UI anymore. You will have to use the props.conf file to make any further changes to the field extraction. Changes made manually cannot be reverted in the FX UI, as the FX UI does not keep track of the changes made in the props.conf file. It is possible to manually edit a regex that was created using the FX UI, as long as you do it in the props.conf file.
Therefore, only statement B is true about manually editing a regex.

NEW QUESTION 5

Which group of users would most likely use pivots?

• A. Users
• B. Architects
• C. Administrators
• D. Knowledge Managers

Answer: A

Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Pivot/IntroductiontoPivot
A pivot is a tool that allows you to create reports and dashboards using data models without writing any SPL commands2. You can use pivots to explore, filter, split and visualize your data using a graphical
interface2. Pivots are designed for users who want to analyze and report on their data without having to learn the SPL syntax or the underlying structure of the data2. Therefore, option A is correct, while options B, C and D are incorrect because they are not the typical group of users who would use pivots.

NEW QUESTION 6

A data model consists of which three types of datasets?

• A. Constraint, field, value.
• B. Events, searches, transactions.
• C. Field extraction, regex, delimited.
• D. Transaction, session ID, metadata.

Answer: B

Explanation:
The building block of a data model. Each data model is composed of one or more data model datasets. Each dataset within a data model defines a subset of the dataset represented by the data model as a whole.
Data model datasets have a hierarchical relationship with each other, meaning they have parent-child relationships. Data models can contain multiple dataset hierarchies. There are three types of dataset hierarchies: event, search, and transaction.
https://docs.splunk.com/Splexicon:Datamodeldataset

NEW QUESTION 7

Which of the following statements describe the Common Information Model (CIM)? (select all that apply)

• A. CIM is a methodology for normalizing data.
• B. CIM can correlate data from different sources.
• C. The Knowledge Manager uses the CIM to create knowledge objects.
• D. CIM is an app that can coexist with other apps on a single Splunk deployment.

Answer: ABC

Explanation:
Reference: https://docs.splunk.com/Documentation/CIM/4.15.0/User/Overview
The Common Information Model (CIM) is a methodology for normalizing data from different sources and making it easier to analyze and report on it3. The CIM defines a common set of fields and tags for various domains such as Alerts, Email, Database, Network Traffic, Web and more3. One of the statements that describe the CIM is that it is a methodology for normalizing data, which means that it provides a standard way to name and structure data from different sources so that they can be compared and correlated3. Therefore, option A is correct. Another statement that describes the CIM is that it can correlate data from different sources, which means that it enables you to run searches and reports across data from different sources that share common fields and tags3. Therefore, option B is correct. Another statement that describes the CIM is that the Knowledge Manager uses the CIM to create knowledge objects, which means that the person who is responsible for creating and managing knowledge objects such as data models, field aliases, tags and event types can use the CIM as a guide to make their knowledge objects consistent and compatible with other apps and add-ons3. Therefore, option C is correct. Option D is incorrect because it does not describe the CIM but rather one of its components.

NEW QUESTION 8

What does the Splunk Common Information Model (CIM) add-on include? (select all that apply)

• A. Custom visualizations
• B. Pre-configured data models
• C. Fields and event category tags
• D. Automatic data model acceleration

Answer: BC

Explanation:
The Splunk Common Information Model (CIM) add-on is a collection of pre-built data models and knowledge objects that help you normalize your data from different sources and make it easier to analyze and report on it3. The CIM add-on includes pre-configured data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more3. Therefore, option B is correct. The CIM add-on also includes fields and event category tags that define the common attributes and labels for the data models3. Therefore, option C is correct. The CIM add-on does not include custom visualizations or automatic data model acceleration. Therefore, options A and D are incorrect.

NEW QUESTION 9

When should transaction be used?

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

Answer: C

NEW QUESTION 10

When should you use the transaction command instead of the scats command?

• A. When you need to group on multiple values.
• B. When duration is irrelevant in search result
• C. .
• D. When you have over 1000 events in a transaction.
• E. When you need to group based on start and end constraints.

Answer: D

Explanation:
The transaction command is used to group events into transactions based on some common characteristics, such as fields, time, or both. The transaction command can also specify start and end constraints for the transactions, such as a field value that indicates the beginning or the end of a transaction. The stats command is used to calculate summary statistics on the events, such as count, sum, average, etc. The stats command cannot group events based on start and end constraints, but only on fields or time buckets. Therefore, the transaction command should be used instead of the stats command when you need to group events based on start and end constraints.

NEW QUESTION 11

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 12

In the following eval statement, what is the value of description if the status is 503? index=main | eval description=case(status==200, "OK", status==404, "Not found", status==500, "Internal Server Error")

• A. The description field would contain no value.
• B. The description field would contain the value 0.
• C. The description field would contain the value "Internal Server Error".
• D. This statement would produce an error in Splunk because it is incomplete.

Answer: A

Explanation:
https://docs.splunk.com/Documentation/Splunk/8.1.1/SearchReference/ConditionalFunctions

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

When a search returns _______, you can view the results as a list.

• A. a list of events
• B. transactions
• C. statistical values

Answer: C

NEW QUESTION 15

What does the transaction command do?

• 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.

Answer: B

Explanation:
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 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.

NEW QUESTION 16

The transaction command allows you to ________ events across multiple sources

• A. duplicate
• B. correlate
• C. persist
• D. tag

Answer: B

Explanation:
The transaction command allows you to correlate events across multiple sources. The transaction command is a search command that allows you to group events into transactions based on some common characteristics, such as fields, time, or both. A transaction is a group of events that share one or more fields that relate them to each other. A transaction can span across multiple sources or sourcetypes that have different formats or structures of data. The transaction command can help you correlate events across multiple sources by using the common fields as the basis for grouping. The transaction command can also create some additional fields for each transaction, such as duration, eventcount, startime, etc.

NEW QUESTION 17

What are search macros?

• A. Lookup definitions in lookup tables.
• B. Reusable pieces of search processing language.
• C. A method to normalize fields.
• D. Categories of search results.

Answer: B

Explanation:
The correct answer is B. Reusable pieces of search processing language. The explanation is as follows:
Search macros are knowledge objects that allow you to insert chunks of SPL into other searches12.
Search macros can be any part of a search, such as an eval statement or a search term, and do not need to be a complete command12.
You can also specify whether the macro field takes any arguments and define validation expressions for them12.
Search macros can help you make your SPL searches shorter and easier to understand3.
To use a search macro in a search string, you need to put a backtick character () before and after the macro name[^1^][1]. For example, mymacro`.

NEW QUESTION 18

Which of the following statements describes the use of the Filed Extractor (FX)?

• A. The Field Extractor automatically extracts all field at search time.
• B. The Field Extractor uses PERL to extract field from the raw events.
• C. Field extracted using the Extracted persist as knowledge objects.
• D. Fields extracted using the Field Extractor do not persist and must be defined for each search.

Answer: C

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 19

Which of the following describes the Splunk Common Information Model (CIM) add-on?

• A. The CIM add-on uses machine learning to normalize data.
• B. The CIM add-on contains dashboards that show how to map data.
• C. The CIM add-on contains data models to help you normalize data.
• D. The CIM add-on is automatically installed in a Splunk environment.

Answer: C

Explanation:
The Splunk Common Information Model (CIM) add-on is a Splunk app that contains data models to help you normalize data from different sources and formats. The CIM add-on defines a common and consistent way of naming and categorizing fields and events in Splunk. This makes it easier to correlate and analyze data across different domains, such as network, security, web, etc. The CIM add-on does not use machine learning to normalize data, but rather relies on predefined field names and values. The CIM add-on does not contain dashboards that show how to map data, but rather provides documentation and examples on how to use the data models. The CIM add-on is not automatically installed in a Splunk environment, but rather needs to be downloaded and installed from Splunkbase.

NEW QUESTION 20

Which type of workflow action sends field values to an external resource (e.g. a ticketing system)?

• A. POST
• B. Search
• C. GET
• D. Format

Answer: A

Explanation:
The type of workflow action that sends field values to an external resource (e.g. a ticketing system) is POST. A POST workflow action allows you to send a POST request to a URI location with field values or static values as arguments. For example, you can use a POST workflow action to create a ticket in an external system with information from an event.

NEW QUESTION 21
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