Splunk SPLK-1002 Online Practice Questions and Exam Preparation

Splunk SPLK-1002 Online Questions & Answers

• Question 1:

  Marty has multiple data sources that contain fields with IP Address values.

  What knowledge object should he use to normalize the fields so his data is CIM compliant?

  A. Event type
  B. Field alias
  C. Field extraction
  D. Tag
  B. Field alias

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  Explanation

  Field aliases are used to normalize different field names that contain the same type of data (like IP addresses) across multiple sourcetypes or sources, making the data CIM compliant without re-extracting the fields.

  References:

  Splunk Power User Study Guide, CIM Compliance

  Splunk Docs: Field Aliases for CIM

  "Field aliases normalize field names across data sources for CIM compliance."

• Question 2:

  Which of the following is true about data model attributes?

  A. They cannot be created within the data model.
  B. They can only be added into a root search dataset.
  C. They cannot be edited if inherited from a parent dataset.
  D. They can be added to a dataset from search time field extractions.
  D. They can be added to a dataset from search time field extractions.

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  Explanation

  Data model attributes are fields that are added to a dataset from search time field extractions, calculated fields, lookups, or aliases. They can be created within the data model editor or inherited from a parent dataset. They can be edited or removed unless they are required by the data model. They can be added to any type of dataset, not just root search datasets.

  References:

  See About data models, [Define data model attributes], and [Edit data model datasets] in the Splunk Documentation.

• Question 3:

  Which syntax is used to represent an argument in a macro definition?

  A. "argument"
  B. %argument%
  C. `argument'
  D. $argument$
  D. $argument$

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  Explanation

  The correct answer is D.

  A search macro is a way to reuse a piece of SPL code in different searches. A search macro can take arguments, which are variables that can be replaced by different values when the macro is called. A search macro can also contain another search macro within it, which is called a nested macro.

  To represent an argument in a macro definition, you need to use the dollar sign ($) character to enclose the argument name. For example, if you want to create a search macro that takes one argument named "object", you can use the following syntax:

  [my_macro(object)] search sourcetype=object

  This will create a search macro named my_macro that takes one argument named object. When you call the macro in a search, you need to provide a value for the object argument, such as: my_macro(web)

  This will replace the object argument with the value web and run the following SPL code: search sourcetype=web

  The other options are not correct because they use quotation marks (' or ") or percentage signs (%) to represent arguments, which are not valid syntax for macro arguments. These characters will be interpreted as literal values instead of variables.

  References:

  Use search macros in searches

• Question 4:

  Clicking a SEGMENT on a chart, ________.

  A. drills down for that value
  B. highlights the field value across the chart
  C. adds the highlighted value to the search criteria
  C. adds the highlighted value to the search criteria

• Question 5:

  Which of the following about reports is/are true?

  A. Reports are knowledge objects.
  B. Reports can be scheduled.
  C. Reports can run a script.
  D. All of the above.
  D. All of the above.

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  Explanation

  A report is a way to save a search and its results in a format that you can reuse and share with others. A report is also a type of knowledge object, which is an entity that you create to add knowledge to your data and make it easier to search and analyze. Therefore, option A is correct. A report can be scheduled, which means that you can configure it to run at regular intervals and send the results to yourself or others via email or other methods. Therefore,

  option B is correct. A report canrun a script, which means that you can specify a script file to execute when the report runs and use it to perform custom actions or integrations. Therefore, option C is correct.

  Therefore, option D is correct because all of the above statements are true for reports.

• Question 6:

  When using the transaction command, how are evicted transactions identified?

  A. Closed_txn field is set to o, or false.
  B. Max_txn field is set to O, or false.
  C. Txn_field is set to 1, or true.
  D. open_txn field is set to 1, or true.
  A. Closed_txn field is set to o, or false.

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  Explanation

  The transaction command is a Splunk command that finds transactions based on events that meet various constraints.

  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 member.

  The transaction command adds some fields to the raw events that are part of the transaction. These fields are: Therefore, evicted transactions can be distinguished from non-evicted transactions by checking the value of the closed_txn field. The closed_txn field is set to 0, or false, for evicted transactions and, or true for non-evicted, or closed, transactions.

• Question 7:

  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.
  C. Field extracted using the Extracted persist as knowledge objects.

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  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 expression. 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 analyze. Field extractions are methods that extract fields from your raw data using various techniques such as regular expressions, delimiters or key-value pairs. When you create a field extraction using the FX, you can save it as a knowledge object that applies to your data at search time. You can also manage and share your field extractions with other users in your organization.

  Therefore, option C is correct, while options A, B and D are incorrect because they do not describe the use of the FX.

• Question 8:

  Which of the following eval commands will provide a new value for host from src if it exists?

  A. | eval host = if (isnu11 (src), src, host)
  B. | eval host = if (NOT src = host, src, host)
  C. | eval host = if (src = host, src, host)
  D. | eval host = if (isnotnull (src), src, host)
  D. | eval host = if (isnotnull (src), src, host)

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  Explanation

  The eval command is a Splunk command that allows you to create or modify fields using expressions .

  The if function is an expression that evaluates a condition and returns a value based on whether the condition is true or false. The syntax of the if function is if(X,Y,Z), where X is the condition, Y is the value to return if X is true, and Z is the value to return if X is false.

  The isnotnull function is an expression that returns true if the argument is not null, and false otherwise. The syntax of the isnotnull function is isnotnull(X), where X is the argument to check. Therefore, the expression if (isnotnull (src), src, host) returns the value of src if it is not null, and the value of host otherwise. This means that it will provide a new value for host from src if it exists, and keep the original value of host otherwise.

• Question 9:

  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
  B. Pre-configured data models
  C. Fields and event category tags

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  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 it. The CIM add-on includes pre-configured data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more. 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 models. 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.

• Question 10:

  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.
  A. Events in the transaction occurred within 5 seconds.
  B. It groups events that share the same clientip and host.
  D. The first and last events are no more than 30 seconds apart.

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  Explanation

  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.