Splunk Splunk Certifications SPLK-1002 Questions & Answers

• Question 181:

  Which of the following statements describe data model acceleration? (select all that apply)

  A. Root events cannot be accelerated.

  B. Accelerated data models cannot be edited.

  C. Private data models cannot be accelerated.

  D. You must have administrative permissions or the accelerate_dacamodel capability to accelerate a data model.

  Correct Answer: BCD

  Data model acceleration is a feature that speeds up searches on data models by creating and storing summaries of the data model datasets1. To enable data model acceleration, you must have administrative permissions or the accelerate_datamodel capability1. Therefore, option D is correct. Accelerated data models cannot be edited unless you disable the acceleration first1. Therefore, option B is correct. Private data models cannot be accelerated because they are not visible to other users1. Therefore, option C is correct. Root events can be accelerated as long as they are not based on a search string1. Therefore, option A is incorrect.

• Question 182:

  Which of the following statements about event types is true? (select all that apply)

  A. Event types can be tagged.

  B. Event types must include a time range,

  C. Event types categorize events based on a search.

  D. Event types can be a useful method for capturing and sharing knowledge.

  Correct Answer: ACD

  Reference: https://www.edureka.co/blog/splunk-events-event-types-and-tags/

  As mentioned before, an event type is a way to categorize events based on a search string that matches the events2. Event types can be tagged, which means that you can apply descriptive labels to event types and use them in your searches2. Therefore, option A is correct. Event types categorize events based on a search string, which means that you can define an event type by specifying a search string that matches the events you want to include in the event type2. Therefore, option C is correct. Event types can be a useful method for capturing and sharing knowledge, which means that you can use event types to organize your data into meaningful categories and share them with other users in your organization2. Therefore, option D is correct. Event types do not have to include a time range, which means that you can create an event type without specifying a time range for the events2. Therefore, option B is incorrect.

• Question 183:

  Calculated fields can be based on which of the following?

  A. Tags

  B. Extracted fields

  C. Output fields for a lookup

  D. Fields generated from a search string

  Correct Answer: B

  Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/definecalcfields

  A calculated field is a field that you create based on the value of another field or fields1. You can use calculated fields to enrich your data with additional information or to transform your data into a more useful format1. Calculated fields can be based on extracted fields, which are fields that are extracted from your raw data using various methods such as regular expressions, delimiters, or key-value pairs1. Therefore, option B is correct, while options A, C and D are incorrect because tags, output fields for a lookup, and fields generated from a search string are not types of extracted fields.

• Question 184:

  Which of the following statements describes the command below (select all that apply)

  Sourcetype=access_combined | transaction JSESSIONID

  A. An additional filed named maxspan is created.

  B. An additional field named duration is created.

  C. An additional field named eventcount is created.

  D. Events with the same JSESSIONID will be grouped together into a single event.

  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.

• Question 185:

  Which delimiters can the Field Extractor (FX) detect? (select all that apply)

  A. Tabs

  B. Pipes

  C. Spaces

  D. Commas

  Correct Answer: BCD

  Reference:

  https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or regular expressions. Delimiters are characters or strings

  that separate fields in your data. The FX can detect some common delimiters automatically, such as pipes (|), spaces ( ), commas (,), semicolons (;), etc. The FX cannot detect tabs (\t) as delimiters automatically, but you can specify them

  manually in the FX interface.

• Question 186:

  Which of the following statements describe the search below? (select all that apply) Index=main I transaction clientip host maxspan=30s maxpause=5s

  A. Events in the transaction occurred within 5 seconds.

  B. It groups events that share the same clientip and host.

  C. The first and last events are no more than 5 seconds apart.

  D. The first and last events are no more than 30 seconds apart.

  Correct Answer: ABD

  The search below groups events by two or more fields (clientip and host), creates transactions with start and end constraints (maxspan=30s and maxpause=5s), and calculates the duration of each transaction. index=main | transaction clientip host maxspan=30s maxpause=5s The search does the following: It filters the events by the index main, which is a default index in Splunk that contains all data that is not sent to other indexes. It uses the transaction command to group events into transactions based on two fields: clientip and host. The transaction command creates new events from groups of events that share the same clientip and host values. It specifies the start and end constraints for the transactions using the maxspan and maxpause arguments. The maxspan argument sets the maximum time span between the first and last events in a transaction. The maxpause argument sets the maximum time span between any two consecutive events in a transaction. In this case, the maxspan is 30 seconds and the maxpause is 5 seconds, meaning that any transaction that has a longer time span or pause will be split into multiple transactions. It creates some additional fields for each transaction, such as duration, eventcount, startime, etc. The duration field shows the time span between the first and last events in a transaction.

• Question 187:

  Which of the following workflow actions can be executed from search results? (select all that apply)

  A. GET

  B. POST

  C. LOOKUP

  D. Search

  Correct Answer: ABD

  As mentioned before, there are two types of workflow actions: GET and POST1. Both types of workflow actions can be executed from search results by clicking on an event field value that has a workflow action configured for it1. Another type of workflow action is Search, which runs another search based on the field value1. Therefore, options A, B and D are correct, while option C is incorrect because LOOKUP is not a type of workflow action.

• Question 188:

  Which of the following statements about tags is true?

  A. Tags are case insensitive.

  B. Tags are created at index time.

  C. Tags can make your data more understandable.

  D. Tags are searched by using the syntax tag: :

  Correct Answer: C

  Tags are aliases or alternative names for field values in Splunk. They can make your data more understandable by using common or descriptive terms instead of cryptic or technical terms. For example, you can tag a field value such as "200" with "OK" or "success" to indicate that it is a HTTP status code for a successful request. Tags are case sensitive, meaning that "OK" and "ok" are different tags. Tags are created at search time, meaning that they are applied when you run a search on your data. Tags are searched by using the syntax tag::, where is the name of the tag you want to search for.

• Question 189:

  Which of the following is the correct way to use the data model command to search field in the data model within the web dataset?

  A. | datamodel web search | filed web *

  B. | Search datamodel web web | filed web*

  C. | datamodel web web field | search web*

  D. Datamodel=web | search web | filed web*

  Correct Answer: A

  The data model command allows you to run searches on data models that have been accelerated1. The syntax for using the data model command is | datamodel [search ]1. Therefore, option A is the correct way to use the data model command to search fields in the data model within the web dataset. Options B and C are incorrect because they do not follow the syntax for the data model command. Option D is incorrect because it does not use the data model command at all.

• Question 190:

  When using the Field Extractor (FX), which of the following delimiters will work? (select all that apply)

  A. Tabs

  B. Pipes

  C. Colons

  D. Spaces

  Correct Answer: ABD

  Reference:

  https://docs.splunk.com/Documentation/Splunk/8.0.3/Knowledge/FXSelectMethodstep

  https://community.splunk.com/t5/Splunk-Search/Field-Extraction-Separate-on-Colon/m- p/29751

  The Field Extractor (FX) is a tool that helps you extract fields from your data using delimiters or regular expressions. Delimiters are characters or strings that separate fields in your data. Some of the delimiters that will work with FX are:

  Tabs: horizontal spaces that align text in columns.

  Pipes: vertical bars that often indicate logical OR operations.

  Spaces: blank characters that separate words or symbols.

  Therefore, the delimiters A, B, and D will work with FX.