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Splunk SPLK-1002 exam is an essential certification for IT professionals who work with Splunk. SPLK-1002 exam validates the candidate's ability to use Splunk to search, analyze, and visualize data, and covers topics such as advanced reports, dashboards, and alerts, data models, pivot and charting, and Splunk Enterprise Security. Obtaining the Splunk Core Certified Power User certification can help individuals advance their career and demonstrate their proficiency in using Splunk effectively.
NEW QUESTION # 29
How are event types different from saved reports?
- A. Event types include formatting of the search results.
- B. Event types can be shared with Splunk users and added to dashboards.
- C. Event types cannot be used to organize data into categories.
- D. Event types do not include a time range.
Answer: D
Explanation:
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The correct answer is D. Event types do not include a time range.
The explanation is as follows:
Event types are a categorization system that help you make sense of your data by matching events with the same search string1. Event types are applied to events at search time and can be used as search terms or filters12.
Saved reports are results saved from a search action that can show statistics and visualizations of events3. Saved reports can be run anytime, and they fetch fresh results each time they are run34. Saved reports can be shared with other users and added to dashboards4.
The main difference between event types and saved reports is that event types do not include a time range, while saved reports do14. This means that event types can match events from any time period, while saved reports are limited by the time range specified when they are created or run14.
NEW QUESTION # 30
When using the transaction command, what does the argument maxspan do?
- A. Sets the maximum length that any single event can reach to be included in the transaction.
- B. Sets the maximum total time between the earliest and latest events in a transaction.
- C. Sets the maximum length of all events within a transaction.
- D. Sets the maximum total time between events in a transaction.
Answer: C
NEW QUESTION # 31
How is a Search Workflow Action configured to run at the same time range as the original search?
- A. Set the earliest time to match the original search.
- B. Select the "Overwrite time range with the original search" checkbox.
- C. Select the same time range from the time-range picker.
- D. Select the "Use the same time range as the search that created the field listing" checkbox.
Answer: D
Explanation:
Explanation
To configure a Search Workflow Action to run at the same time range as the original search, you need to select the "Use the same time range as the search that created the field listing" checkbox. This will ensure that the workflow action search uses the same earliest and latest time parameters as the original search.
NEW QUESTION # 32
Given the macro definition below, what should be entered into the Name and Arguments fileds to correctly configured the macro?
- A. The macro name is sessiontracker and the arguments are $action$, $JESSIONID$.
- B. The macro name is sessiontracker and the arguments are action, JESSIONID.
- C. The macro name is sessiontracker(2) and the Arguments are $action$, $JESSIONID$.
- D. The macro name is sessiontracker(2) and the arguments are action, JESSIONID.
Answer: D
Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Definesearchmacros The macro definition below shows a macro that tracks user sessions based on two arguments: action and JSESSIONID.
sessiontracker(2)
The macro definition does the following:
It specifies the name of the macro as sessiontracker. This is the name that will be used to execute the macro in a search string.
It specifies the number of arguments for the macro as 2. This indicates that the macro takes two arguments when it is executed.
It specifies the code for the macro as index=main sourcetype=access_combined_wcookie action=$action$ JSESSIONID=$JSESSIONID$ | stats count by JSESSIONID. This is the search string that will be run when the macro is executed. The search string can contain any part of a search, such as search terms, commands, arguments, etc. The search string can also include variables for the arguments using dollar signs around them.
In this case, action and JSESSIONID are variables for the arguments that will be replaced by their values when the macro is executed.
Therefore, to correctly configure the macro, you should enter sessiontracker as the name and action, JSESSIONID as the arguments. Alternatively, you can use sessiontracker(2) as the name and leave the arguments blank.
NEW QUESTION # 33
Which of the following statements about calculated fields in Splunk is true?
- A. Calculated fields can only be used in saved reports.
- B. Calculated fields cannot be chained together to create more complex fields
- C. Calculated fields can only be used in dashboards.
- D. Calculated fields can be chained together to create more complex fields.
Answer: D
Explanation:
The correct answer is B. Calculated fields can be chained together to create more complex fields.
Calculated fields are fields that are added to events at search time by using eval expressions. They can be used to perform calculations with the values of two or more fields already present in those events. Calculated fields can be defined with Splunk Web or in the props.conf file. They can be used in searches, reports, dashboards, and data models like any other extracted field1.
Calculated fields can also be chained together to create more complex fields. This means that you can use a calculated field as an input for another calculated field. For example, if you have a calculated field named total that sums up the values of two fields named price and tax, you can use the total field to create another calculated field named discount that applies a percentage discount to the total field. To do this, you need to define the discount field with an eval expression that references the total field, such as:
discount = total * 0.9
This will create a new field named discount that is equal to 90% of the total field value for each event2.
References:
* About calculated fields
* Chaining calculated fields
NEW QUESTION # 34
Data model are composed of one or more of which of the following datasets? (select all that apply.)
- A. Transaction datasets
- B. Search datasets
- C. Events datasets
- D. Any child of event, transaction, and search datasets
Answer: A,B,C
Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Aboutdatamodels
Data models are collections of datasets that represent your data in a structured and hierarchical way. Data
models define how your data is organized into objects and fields. Data models can be composed of one or
more of the following datasets:
Events datasets: These are the base datasets that represent raw events in Splunk. Events datasets can be filtered
by constraints, such as search terms, sourcetypes, indexes, etc.
Search datasets: These are derived datasets that represent the results of a search on events or other datasets.
Search datasets can use any search command, such as stats, eval, rex, etc., to transform the data.
Transaction datasets: These are derived datasets that represent groups of events that are related by fields, time,
or both. Transaction datasets can use the transaction command or event types with transactiontype=true to
create transactions.
NEW QUESTION # 35
Why would the following search produce multiple transactions instead of one?
The maxspan option is not included.
The transaction command has a limit of 1000 events per transaction.
The transaction and commands cannot be used together.
The stats list () function is used.
Answer:
Explanation:
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.
Explanation:
The correct answer is
NEW QUESTION # 36
When should transaction be used?
- A. When event grouping is based on start/end values.
- B. When calculating results from one or more fields.
- C. When grouping events results in over 1000 events in each group.
- D. Only in a large distributed Splunk environment.
Answer: C
NEW QUESTION # 37
Which of the following statements describes an event type?
- A. A log level measurement: info, warn, error.
- B. A field for categorizing events based on a search string.
- C. Either a log, a metric, or a trace.
- D. A knowledge object that is applied before fields are extracted.
Answer: B
Explanation:
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 # 38
When performing a regular expression (regex) field extraction using the Field Extractor (FX), what happens when the require option is used?
- A. The events without the required field will not display in searches.
- B. The field being extracted will be required for all future events.
- C. Only events with the required string will be included in the extraction.
- D. The regex can no longer be edited.
Answer: C
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 focus on the events that are relevant for your extraction2. Therefore, option D is correct, while options A, B and C are incorrect.
NEW QUESTION # 39
Based on the macro definition shown below, what is the correct way to execute the macro in a search string?
- A. Convert_sales (euro, €, .79)
- B. Convert_sales ($euro,$€$,s79$
- C. Convert_sales (euro, €, 79)"
- D. Convert_sales ($euro, $€$,S,79$)
Answer: A
Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Usesearchmacros The correct way to execute the macro in a search string is to use the format macro_name($arg1$, $arg2$,
...) where $arg1$, $arg2$, etc. are the arguments for the macro. In this case, the macro name is convert_sales and it takes three arguments: currency, symbol, and rate. The arguments are enclosed in dollar signs and separated by commas. Therefore, the correct way to execute the macro is convert_sales($euro$, $€$,
.79).
NEW QUESTION # 40
Which of the following options will define the first event in a transaction?
- A. with
- B. startingwith
- C. firstevent
- D. startswith
Answer: D
Explanation:
Explanation
The correct answer is A. startswith.
The explanation is as follows:
The transaction command is used to find 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 member1.
The startswith option is used to define the first event in a transaction by specifying a search term or an expression that matches the event13.
For example, | transaction clientip JSESSIONID startswith="view" will create transactions based on the clientip and JSESSIONID fields, and the first event in each transaction will contain the term "view" in the _raw field2.
NEW QUESTION # 41
By default, how is acceleration configured in the Splunk Common Information Model (CIM) add-on?
- A. Turned off
- B. Determined automatically based on the data source.
- C. Determined automatically based on the sourcetype.
- D. Turned on
Answer: B
Explanation:
By default, acceleration is determined automatically based on the data source in the Splunk Common Information Model (CIM) add-on. The Splunk CIM Add-on is an app that provides common data models for various domains, such as network traffic, web activity, authentication, etc. The CIM Add-on allows you to normalize and enrich your data using predefined fields and tags. The CIM Add-on also allows you to accelerate your data models for faster searches and reports. Acceleration is a feature that pre-computes summary data for your data models and stores them in tsidx files. Acceleration can improve the performance and efficiency of your searches and reports that use data models.
By default, acceleration is determined automatically based on the data source in the CIM Add-on. This means that Splunk will decide whether to enable or disable acceleration for each data model based on some factors, such as data volume, data type, data model complexity, etc. However, you can also manually enable or disable acceleration for each data model by using the Settings menu or by editing the datamodels.conf file.
NEW QUESTION # 42
What is the purpose of a calculated field?
- A. To automatically add fields at search time using an eval expression rather than manually including an eval command.
- B. To manually add fields at search time and check for syntax errors.
- C. To manually add and remove fields at search time related to statistical functions.
- D. To automatically add fields to the index using an eval expression rather than manually including an eval command.
Answer: A
Explanation:
A calculated field in Splunk is designed to automatically add fields at search time using an eval expression. This feature allows users to define new fields based on existing data without needing to manually include an eval command in every search. Calculated fields simplify repeated search tasks by embedding the eval logic directly into the field configuration.
Reference:
Splunk Docs: Calculated fields
Splunk Answers: Purpose of calculated fields
NEW QUESTION # 43
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 # 44
Given the macro definition below, what should be entered into the Name and Arguments fileds to correctly
configured the macro?
- A. The macro name issessiontracker(2)and the Arguments are$action$, $JESSIONID$.
- B. The macro name issessiontracker(2)and the arguments areaction, JESSIONID.
- C. The macro name issessiontrackerand the arguments areaction, JESSIONID.
- D. The macro name issessiontrackerand the arguments are$action$, $JESSIONID$.
Answer: B
Explanation:
Reference:https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/Definesearchmacros
The macro definition below shows a macro that tracks user sessions based on two arguments: action and
JSESSIONID.
sessiontracker(2)
The macro definition does the following:
It specifies the name of the macro as sessiontracker. This is the name that will be used to execute the macro in
a search string.
It specifies the number of arguments for the macro as 2. This indicates that the macro takes two arguments
when it is executed.
It specifies the code for the macro asindex=main sourcetype=access_combined_wcookie action=$action$
JSESSIONID=$JSESSIONID$ | stats count by JSESSIONID. This is the search string that will be run when
the macro is executed. The search string can contain any partof a search, such as search terms, commands,
arguments, etc. The search string can also include variables for the arguments using dollar signs around them.
In this case, action and JSESSIONID are variables for the arguments that will be replaced by their values when
the macro is executed.
Therefore, to correctly configure the macro, you should enter sessiontracker as the name and action,
JSESSIONID as the arguments. Alternatively, you can use sessiontracker(2) as the name and leave the
arguments blank.
NEW QUESTION # 45
Which of the following statements about tags is true? (select all that apply.)
- A. Tags categorize events based on a search.
- B. Tags are designed to make data more understandable.
- C. Tags are case-insensitive.
- D. Tags are based on field/vale pairs.
Answer: C
NEW QUESTION # 46
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. all of the above
- D. deleted
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 # 47
Which of the following statements describes POST workflow actions?
- A. POST workflow actions can be configured to send email to the URI location.
- B. By default, POST workflow actions are shown in both the event and field menus.
- C. Configuration of a POST workflow action includes choosing a sourcetype.
- D. POST workflow actions can be configured to send POST arguments to the URI location.
Answer: B
Explanation:
Explanation/Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaPOSTworkflowaction
NEW QUESTION # 48
Data model fields can be added using the Auto-Extracted method.
Which of the following statements describe Auto-Extracted fields? (Choose all that apply.)
- A. Auto-Extracted fields can have their data type changed.
- B. Auto-Extracted fields can be added if they already exist in the dataset with constraints.
- C. Auto-Extracted fields can be hidden in Pivot.
- D. Auto-Extracted fields can be given a friendly name for use in Pivot.
Answer: A
NEW QUESTION # 49
What is the correct syntax to find events associated with a tag?
- A. tags=<value>
- B. tag:<field>=<value>
- C. tag=<value>
- D. tags:<field>=<value>
Answer: C
Explanation:
The correct syntax to find events associated with a tag in Splunk is tag=<value>1. So, the correct answer is D.
tag=<value>. This syntax allows you to annotate specified fields in your search results with tags1.
In Splunk, tags are a type of knowledge object that you can use to add meaningful aliases to field values in your data1. For example, if you have a field called status_code in your data, you might have different status codes like 200, 404, 500, etc. You can create tags for these status codes like success for 200, not_found for
404, and server_error for 500. Then, you can use the tag command in your searches to find events associated with these tags1.
Here is an example of how you can use the tag command in a search:
index=main sourcetype=access_combined | tag status_code
In this search, the tag command annotates the status_code field in the search results with the corresponding tags. If you have tagged the status code 200 with success, the status code 404 with not_found, and the status code 500 with server_error, the search results will include these tags1.
You can also use the tag command with a specific tag value to find events associated with that tag. For example, the following search finds all events where the status code is tagged with success:
index=main sourcetype=access_combined | tag status_code | search tag::status_code=success In this search, the tag command annotates the status_code field with the corresponding tags, and the search command filters the results to include only events where the status_code field is tagged with success1.
NEW QUESTION # 50
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