The Secret Of Splunk SPLK-1002 Pdf Exam

NEW QUESTION 1

Which of the following Statements about macros is true? (select all that apply)

• A. Arguments are defined at execution time.
• B. Arguments are defined when the macro is created.
• C. Argument values are used to resolve the search string at execution time.
• D. Argument values are used to resolve the search string when the macro is created.

Answer: BC

Explanation:
A macro is a way to save a commonly used search string as a variable that you can reuse in other searches1. When you create a macro, you can define arguments that are placeholders for values that you specify at execution time1. The argument values are used to resolve the search string when the macro is
invoked, not when it is created1. Therefore, statements B and C are true, while statements A and D are false.

NEW QUESTION 2

Which function should you use with the transaction command to set the maximum total time between the earliest and latest events returned?

• A. maxpause
• B. endswith
• C. maxduration
• D. maxspan

Answer: D

Explanation:
The maxspan function of the transaction command allows you to set the maximum total time between the earliest and latest events returned. The maxspan function is an argument that can be used with the transaction command to specify the start and end constraints for the transactions. The maxspan function takes a time modifier as its value, such as 30s, 5m, 1h, etc. The maxspan function sets the maximum time span between the first and last events in a transaction. If the time span between the first and last events exceeds the maxspan value, the transaction will be split into multiple transactions.

NEW QUESTION 3

Which of the following statements describe the search string below?
| datamodel Application_State All_Application_State search

• A. Evenrches would return a report of sales by state.
• B. Events will be returned from the data model named Application_State.
• C. Events will be returned from the data model named All_Application_state.
• D. No events will be returned because the pipe should occur after the datamodel command

Answer: B

Explanation:
The search string below returns events from the data model named Application_State.
| datamodel Application_State All_Application_State search The search string does the following:
It uses the datamodel command to access a data model in Splunk. The datamodel command takes two
arguments: the name of the data model and the name of the dataset within the data model.
It specifies the name of the data model as Application_State. This is a predefined data model in Splunk that contains information about web applications.
It specifies the name of the dataset as All_Application_State. This is a root dataset in the data model that contains all events from all child datasets.
It uses the search command to filter and transform the events from the dataset. The search command can use any search criteria or command to modify the results.
Therefore, the search string returns events from the data model named Application_State.

NEW QUESTION 4

Data models are composed of one or more of which of the following datasets? (select all that apply)

• A. Transaction datasets
• B. Events datasets
• C. Search datasets
• D. Any child of event, transaction, and search datasets

Answer: ABC

Explanation:
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 5

When you mouse over and click to add a search term this (thesE. Boolean operator(s) is(arE. not implied. (Select all that apply).

• A. OR
• B. ( )
• C. AND
• D. NOT

Answer: ABD

Explanation:
When you mouse over and click to add a search term from the Fields sidebar or from an event in your search results, Splunk automatically adds the term to your search string with an implied AND operator2. However, this does not apply to some Boolean operators such as OR, NOT and parentheses (). These operators are not implied when you add a search term and you have to type them manually if you want to use them in your search string2. Therefore, options A, B and D are correct, while option C is incorrect because AND is implied when you add a search term.

NEW QUESTION 6

What approach is recommended when using the Splunk Common Information Model (CIM) add-on to normalize data?

• A. Consult the CIM data model reference tables.
• B. Run a search using the authentication command.
• C. Consult the CIM event type reference tables.
• D. Run a search using the correlation command.

Answer: A

Explanation:
The recommended approach when using the Splunk Common Information Model (CIM) add-on to normalize data is A. Consult the CIM data model reference tables. This is because the CIM data model reference tables provide detailed information about the fields and tags that are expected for each dataset in a data model. By consulting the reference tables, you can determine which data models are relevant for your data source and how to map your data fields to the CIM fields. You can also use the reference tables to validate your data and troubleshoot any issues with normalization. You can find the CIM data model reference tables in the Splunk documentation1 or in the Data Model Editor page in Splunk Web2. The other options are incorrect because they are not related to the CIM add-on or data normalization. The authentication command is a custom command that validates events against the Authentication data model, but it does not help you to normalize other types of data. The correlation command is a search command that performs statistical analysis on event fields, but it does not help you to map your data fields to the CIM fields. The CIM event type reference tables do not exist, as event types are not part of the CIM add-on.

NEW QUESTION 7

Which of the following is included with the Common Information Model (CIM) add-on?

• A. Search macros
• B. Event category tags
• C. Workflow actions
• D. tsidx files

Answer: B

Explanation:
The correct answer is B. Event category tags. This is because the CIM add-on contains a collection of preconfigured data models that you can apply to your data at search time. Each data model in the CIM consists of a set of field names and tags that define the least common denominator of a domain of interest. Event category tags are used to classify events into high-level categories, such as authentication, network traffic, or web activity. You can use these tags to filter and analyze events based on their category. You can learn more about event category tags from the Splunk documentation12. The other options are incorrect because they are not included with the CIM add-on. Search macros are reusable pieces of search syntax that you can invoke from other searches. They are not specific to the CIM add-on, although some Splunk apps may provide their own search macros. Workflow actions are custom links or scripts that you can run on specific fields or events. They are also not specific to the CIM add-on, although some Splunk apps may provide their own workflow actions. tsidx files are index files that store the terms and pointers to the raw data in Splunk buckets. They are part of the Splunk indexing process and have nothing to do with the CIM add-on.

NEW QUESTION 8

What commands can be used to group events from one or more data sources?

• A. eval, coalesce
• B. transaction, stats
• C. stats, format
• D. top, rare

Answer: B

Explanation:
The transaction and stats commands are two ways to group events from one or more data sources based on common fields or time ranges. The transaction command creates a single event out of a group of related events, while the stats command calculates summary statistics over a group of events. The eval and coalesce commands are used to create or combine fields, not to group events. The format command is used to format the results of a subsearch, not to group events. The top and rare commands are used to rank the most or least common values of a field, not to group events23
1: Splunk Core Certified Power User Track, page 9. 2: Splunk Documentation, transaction command. 3: Splunk Documentation, stats command.

NEW QUESTION 9

Which of the following searches will return events containing a tag named Privileged?

• A. tag=Priv
• B. tag=Priv*
• C. tag=priv*
• D. tag=privileged

Answer: B

Explanation:
The tag=Priv* search will return events containing a tag named Privileged, as well as any other tag that starts with Priv. The asterisk (*) is a wildcard character that matches zero or more characters. The other searches will not match the exact tag name.

NEW QUESTION 10

When using timechart, how many fields can be listed after a by clause?

• A. because timechart doesn't support using a by clause.
• B. because _time is already implied as the x-axis.
• C. because one field would represent the x-axis and the other would represent the y-axis.
• D. There is no limit specific to timechart.

Answer: B

Explanation:
The timechart command is used to create a time-series chart of statistical values based on your search results2. You can use the timechart command with a by clause to split the results by one or more fields and create multiple series in the chart2. However, you can only list one field after the by clause when using the timechart command because _time is already implied as the x-axis of the chart2. Therefore, option B is correct, while options A, C and D are incorrect.

NEW QUESTION 11

There are several ways to access the field extractor. Which option automatically identifies data type, source type, and sample event?

• A. Event Actions > Extract Fields
• B. Fields sidebar > Extract New Field
• C. Settings > Field Extractions > New Field Extraction
• D. Settings > Field Extractions > Open Field Extraction

Answer: B

Explanation:
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.

NEW QUESTION 12

Data model are composed of one or more of which of the following datasets? (select all that apply.)

• A. Events datasets
• B. Search datasets
• C. Transaction datasets
• D. Any child of event, transaction, and search datasets

Answer: ABC

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 13

The Field Extractor (FX) is used to extract a custom field. A report can be created using this custom field. The created report can then be shared with other people in the organization. If another person in the organization runs the shared report and no results are returned, why might this be? (select all that apply)

• A. Fast mode is enabled.
• B. The dashboard is private.
• C. The extraction is private
• D. The person in the organization running the report does not have access to the index.

Answer: CD

Explanation:
The Field Extractor (FX) is a tool that helps you extract fields from your events using a graphical
interface2. You can create a report using a custom field extracted by the FX and share it with other users in your organization2. However, if another user runs the shared report and no results are returned, there could be two possible reasons. One reason is that the extraction is private, which means that only you can see and use the extracted field2. To make the extraction available to other users, you need to make it global or app-level2. Therefore, option C is correct. Another reason is that the other user does not have access to the index where the events are stored2. To fix this issue, you need to grant the appropriate permissions to the other user for the index2. Therefore, option D is correct. Options A and B are incorrect because they are not related to the field extraction or the report.

NEW QUESTION 14

Which of the following searches show a valid use of a macro? (Choose all that apply.)

• A. index=main source=mySource oldField=* |’makeMyField(oldField)’| table _time newField
• B. index=main source=mySource oldField=* | stats if(‘makeMyField(oldField)’) | table _time newField
• C. index=main source=mySource oldField=* | eval newField=’makeMyField(oldField)’| table _time newField
• D. index=main source=mySource oldField=* | "’newField(‘makeMyField(oldField)’)’" | table _time newField

Answer: AC

Explanation:
The searches A and C show a valid use of a macro. A macro is a reusable piece of SPL code that can be called by using single quotes (‘’). A macro can take arguments, which are passed inside parentheses after the macro name. For example, ‘makeMyField(oldField)’ calls a macro named makeMyField with an argument oldField. The searches B and D are not valid because they use double quotes (“”) instead of single quotes (‘’).

NEW QUESTION 15

This clause is used to group the output of a stats command by a specific name.

• A. Rex
• B. As
• C. List
• D. By

Answer: B

NEW QUESTION 16

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 17

Information needed to create a GET workflow action includes which of the following? (select all that apply.)

• A. A name of the workflow action
• B. A URI where the user will be directed at search time.
• C. A label that will appear in the Event Action menu at search time.
• D. A name for the URI where the user will be directed at search time.

Answer: ABC

Explanation:
Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/SetupaGETworkflowaction Information needed to create a GET workflow action includes the following: a name of the workflow action, a URI where the user will be directed at search time, and a label that will appear in the Event Action menu at search time. A GET workflow action is a type of workflow action that performs a GET request when you click on a field value in your search results. A GET workflow action can be configured with various options, such as:
A name of the workflow action: This is a unique identifier for the workflow action that is used internally by Splunk. The name should be descriptive and meaningful for the purpose of the workflow action.
A URI where the user will be directed at search time: This is the base URL of the external web service or application that will receive the GET request. The URI can include field value variables that will be replaced by the actual field values at search time. For example, if you have a field value variable ip, you can write it as http://example.com/ip=$ip to send the IP address as a parameter to the external web service or application.
A label that will appear in the Event Action menu at search time: This is the display name of the workflow action that will be shown in the Event Action menu when you click on a field value in your search results. The label should be clear and concise for the user to understand what the workflow action does.
Therefore, options A, B, and C are correct.

NEW QUESTION 18

When using | timchart by host, which filed is representted in the x-axis?

• A. date
• B. host
• C. time
• D. -time

Answer: A

NEW QUESTION 19

Which of these search strings is NOT valid:

• A. index=web status=50* | chart count over host, status
• B. index=web status=50* | chart count over host by status
• C. index=web status=50* | chart count by host, status

Answer: A

Explanation:
This search string is not valid: index=web status=50* | chart count over host,status2. This search string uses an invalid syntax for the chart command. The chart command requires one field after the over clause and optionally one field after the by clause. However, this search string has two fields after the over clause separated by a comma. This will cause a syntax error and prevent the search from running. Therefore, option A is correct, while options B and C are incorrect because they are valid search strings that use the chart command correctly.

NEW QUESTION 20

Which of the following searches show a valid use of macro? (Select all that apply)

• A. index=main source=mySource oldField=* |'makeMyField(oldField)'| table _time newField
• B. index=main source=mySource oldField=* | stats if('makeMyField(oldField)') | table _time newField
• C. index=main source=mySource oldField=* | eval newField='makeMyField(oldField)'| table _time newField
• D. index=main source=mySource oldField=* | "'newField('makeMyField(oldField)')'" | table _time newField

Answer: AC

Explanation:
Reference:
https://answers.splunk.com/answers/574643/field-showing-an-additional-and-not-visible-value-1.html
To use a macro in a search, you must enclose the macro name and any arguments in single quotation marks1. For example, 'my_macro(arg1,arg2)' is a valid way to use a macro with two arguments. You can use macro anywhere in your search string where you would normally use a search command or expression1. Therefore, options A and C are valid searches that use macros, while options B and D are invalid because they do not enclose the macros in single quotation marks.

NEW QUESTION 21
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