SPLK-1002 Updated Dumps - Splunk Core Certified Power User

Text Material Preview

<p>SPLK-1002</p><p>Exam Name: Splunk Core Certified Power User</p><p>Full version: 273 Q&As</p><p>Full version of SPLK-1002 Dumps</p><p>Share some SPLK-1002 exam dumps below.</p><p>1. When creating an event type, which is allowed in the search string?</p><p>A. Tags</p><p>B. Joins</p><p>C. Subsearches</p><p>D. Pipes</p><p>1 / 20</p><p>https://www.certqueen.com/SPLK-1002.html</p><p>Answer: C</p><p>Explanation:</p><p>When creating an event type in Splunk, subsearches are allowed in the search string.</p><p>Subsearches enable users to perform a secondary search whose results are used as input for</p><p>the main search. This functionality is useful for more complex event type definitions that require</p><p>additional filtering or criteria based on another search.</p><p>Reference: Splunk Docs: About subsearches</p><p>Splunk Docs: Event type creation</p><p>Splunk Answers: Using subsearches in event types</p><p>2. The gauge command:</p><p>A. creates a single-value visualization</p><p>B. allows you to set colored ranges for a single-value visualization</p><p>C. creates a radial gauge visualization</p><p>Answer: B</p><p>3. Which syntax is used to represent an argument in a macro definition?</p><p>A. "argument"</p><p>B. %argument%</p><p>C. ‘argument’</p><p>D. $argument$</p><p>Answer: D</p><p>Explanation:</p><p>The correct answer is D.</p><p>A search macro is a way to reuse a piece of SPL code in different searches. A search macro</p><p>can take arguments, which are variables that can be replaced by different values when the</p><p>macro is called. A search macro can also contain another search macro within it, which is called</p><p>a nested macro1.</p><p>To represent an argument in a macro definition, you need to use the dollar sign ($) character to</p><p>enclose the argument name. For example, if you want to create a search macro that takes one</p><p>argument named “object”, you can use the following syntax: [my_macro(object)] search</p><p>sourcetype= object</p><p>This will create a search macro named my_macro that takes one argument named object.</p><p>When you call the macro in a search, you need to provide a value for the object argument, such</p><p>as: my_macro(web)</p><p>This will replace the object argument with the value web and run the following SPL code:</p><p>2 / 20</p><p>search sourcetype=web</p><p>The other options are not correct because they use quotation marks (’ or ") or percentage signs</p><p>(%) to represent arguments, which are not valid syntax for macro arguments. These characters</p><p>will be interpreted as literal values instead of variables.</p><p>Reference: Use search macros in searches</p><p>4. Data models are composed of one or more of which of the following datasets? (select all that</p><p>apply)</p><p>A. Transaction datasets</p><p>B. Events datasets</p><p>C. Search datasets</p><p>D. Any child of event, transaction, and search datasets</p><p>Answer: ABC</p><p>Explanation:</p><p>Data model datasets have a hierarchical relationship with each other, meaning they have parent-</p><p>child relationships. Data models can contain multiple dataset hierarchies. There are three types</p><p>of dataset hierarchies: event, search, and transaction.</p><p>https://docs.splunk.com/Splexicon:Datamodeldataset</p><p>5. Select this in the fields sidebar to automatically pipe you search results to the rare command</p><p>A. events with this field</p><p>B. rare values</p><p>C. top values by time</p><p>D. top values</p><p>Answer: B</p><p>Explanation:</p><p>The fields sidebar is a panel that shows the fields that are present in your search results2. The</p><p>fields sidebar has two sections: selected fields and interesting fields2. Selected fields are fields</p><p>that you choose to display in your search results by clicking on them in the fields sidebar or by</p><p>using the fields command2. Interesting fields are fields that appear in at least 20 percent of</p><p>events or have high variability among values2. For each field in the fields sidebar, you can</p><p>select one of the following options: events with this field, rare values, top values by time or top</p><p>values2. If you select rare values, Splunk will automatically pipe your search results the rare</p><p>command, which shows the least common values of a field2. Therefore, option B is correct,</p><p>while options A, C and D are incorrect because they do not pipe your search results to the rare</p><p>command.</p><p>3 / 20</p><p>6. What are the expected results for a search that contains the command | where A=B?</p><p>A. Events that contain the string value where A=B.</p><p>B. Events that contain the string value A=B.</p><p>C. Events where values of field are equal to values of field B.</p><p>D. Events where field A contains the string value B.</p><p>Answer: C</p><p>Explanation:</p><p>The correct answer is C. Events where values of field A are equal to values of field B.</p><p>The where command is used to filter the search results based on an expression that evaluates</p><p>to true or false. The where command can compare two fields, two values, or a field and a value.</p><p>The where command can also use functions, operators, and wildcards to create complex</p><p>expressions1.</p><p>The syntax for the where command is:</p><p>| where <expression></p><p>The expression can be a comparison, a calculation, a logical operation, or a combination of</p><p>these.</p><p>The expression must evaluate to true or false for each event.</p><p>To compare two fields with the where command, you need to use the field names without any</p><p>quotation marks. For example, if you want to find events where the values for the field A match</p><p>the values for the field B, you can use the following syntax: | where A=B</p><p>This will return only the events where the two fields have the same value.</p><p>The other options are not correct because they use different syntax or fields that are not related</p><p>to the where command. These options are:</p><p>A) Events that contain the string value where A=B: This option uses the string value where A=B</p><p>as a search term, which is not valid syntax for the where command. This option will return</p><p>events that have the literal text “where A=B” in them.</p><p>B) Events that contain the string value A=B: This option uses the string value A=B as a search</p><p>term, which is not valid syntax for the where command. This option will return events that have</p><p>the literal text “A=B” in them.</p><p>D) Events where field A contains the string value B: This option uses quotation marks around</p><p>the value B, which is not valid syntax for comparing fields with the where command. Quotation</p><p>marks are used to enclose phrases or exact matches in a search2. This option will return events</p><p>where the field A contains the string value “B”.</p><p>Reference: where command usage Search command cheatsheet</p><p>4 / 20</p><p>7. A user wants to create a new field alias for a field that appears in two sourcetypes.</p><p>How many field aliases need to be created?</p><p>A. One.</p><p>B. Two.</p><p>C. It depends on whether the original fields have the same name.</p><p>D. It depends on whether the two sourcetypes are associated with the same index.</p><p>Answer: B</p><p>8. Which of the following is true about a datamodel that has been accelerated?</p><p>A. They can be used with Pivot, the | tstats command, or the | datamodel command.</p><p>B. They can still be used in the Pivot tool but only with the accelerate_pivot capability.</p><p>C. They can no longer be used in the Pivot tool.</p><p>D. They can be used with the |tstats command, but will only return that data which has been</p><p>accelerated.</p><p>Answer: A</p><p>Explanation:</p><p>A data model that has been accelerated can be used with Pivot, the | tstats command, or the |</p><p>datamodel command (Option A). Acceleration pre-computes and stores results for quicker</p><p>access, enhancing the performance of searches and analyses that utilize the data model,</p><p>especially for large datasets. This makes accelerated data models highly efficient for use in</p><p>various analytical tools and commands within Splunk.</p><p>9. When should you use the transaction command instead of the scats command?</p><p>A. When you need to group on multiple values.</p><p>B. When duration is irrelevant in search results..</p><p>C. When you have over 1000 events in a transaction.</p><p>D. When you need to group based on start and end constraints.</p><p>Answer: D</p><p>Explanation:</p><p>The transaction command is used to group events into transactions based on some common</p><p>characteristics,</p><p>such as fields, time, or both. The transaction command can also specify start</p><p>and end constraints for the transactions, such as a field value that indicates the beginning or the</p><p>end of a transaction. The stats command is used to calculate summary statistics on the events,</p><p>such as count, sum, average, etc. The stats command cannot group events based on start and</p><p>end constraints, but only on fields or time buckets. Therefore, the transaction command should</p><p>be used instead of the stats command when you need to group events based on start and end</p><p>5 / 20</p><p>constraints.</p><p>10. Why are tags useful in Splunk?</p><p>A. Tags look for less specific data.</p><p>B. Tags visualize data with graphs and charts.</p><p>C. Tags group related data together.</p><p>D. Tags add fields to the raw event data.</p><p>Answer: C</p><p>Explanation:</p><p>Tags are a type of knowledge object that enable you to assign descriptive keywords to events</p><p>based on the values of their fields. Tags can help you to search more efficiently for groups of</p><p>event data that share common characteristics, such as functionality, location, priority, etc. For</p><p>example, you can tag all the IP addresses of your routers as router, and then search for</p><p>tag=router to find all the events related to your routers. Tags can also help you to normalize</p><p>data from different sources by using the same tag name for equivalent field values. For</p><p>example, you can tag the field values error, fail, and critical as severity=high, and then search</p><p>for severity=high to find all the events with high severity level2</p><p>1: Splunk Core Certified Power User Track, page 10. 2: Splunk Documentation, About tags and</p><p>aliases.</p><p>11. What are search macros?</p><p>A. Lookup definitions in lookup tables.</p><p>B. Reusable pieces of search processing language.</p><p>C. A method to normalize fields.</p><p>D. Categories of search results.</p><p>Answer: B</p><p>Explanation:</p><p>The correct answer is B. Reusable pieces of search processing language.</p><p>The explanation is as follows:</p><p>Search macros are knowledge objects that allow you to insert chunks of SPL into other</p><p>searches12. Search macros can be any part of a search, such as an eval statement or a search</p><p>term, and do not need to be a complete command12.</p><p>You can also specify whether the macro field takes any arguments and define validation</p><p>expressions for them12.</p><p>Search macros can help you make your SPL searches shorter and easier to understand3.</p><p>To use a search macro in a search string, you need to put a backtick character () before and</p><p>6 / 20</p><p>after the macro name[^1^][1]. For example, mymacro`.</p><p>12. Tags can reference which of the following knowledge objects?</p><p>A. Lookups and event types only.</p><p>B. Extracted fields, field aliases, calculated fields, lookups, and event types.</p><p>C. Tags cannot reference any of these knowledge objects because tags are the last knowledge</p><p>objects generated in the search-time operation sequence.</p><p>D. Extracted fields, calculated fields, and field aliases only.</p><p>Answer: B</p><p>Explanation:</p><p>Tags are a type of knowledge object that enable you to assign descriptive keywords to events.</p><p>Tags can reference any of the following knowledge objects: extracted fields, field aliases,</p><p>calculated fields, lookups, and event types. Tags cannot reference other tags or search macros.</p><p>Tags are applied to events at search time based on the values of the fields that they reference2</p><p>1: Splunk Core Certified Power User Track, page 10. 2: Splunk Documentation, About tags and</p><p>aliases.</p><p>13. Which group of users would most likely use pivots?</p><p>A. Users</p><p>B. Architects</p><p>C. Administrators</p><p>D. Knowledge Managers</p><p>Answer: A</p><p>Explanation:</p><p>Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Pivot/IntroductiontoPivot</p><p>A pivot is a tool that allows you to create reports and dashboards using data models without</p><p>writing any SPL commands2. You can use pivots to explore, filter, split and visualize your data</p><p>using a graphical interface2. Pivots are designed for users who want to analyze and report on</p><p>their data without having to learn the SPL syntax or the underlying structure of the data2.</p><p>Therefore, option A is correct, while options B, C and D are incorrect because they are not the</p><p>typical group of users who would use pivots.</p><p>14. Which of the following statements describe data model acceleration? (select all that apply)</p><p>A. Root events cannot be accelerated.</p><p>B. Accelerated data models cannot be edited.</p><p>C. Private data models cannot be accelerated.</p><p>7 / 20</p><p>D. You must have administrative permissions or the accelerate_dacamodel capability to</p><p>accelerate a data model.</p><p>Answer: B, C, D</p><p>Explanation:</p><p>Data model acceleration is a feature that speeds up searches on data models by creating and</p><p>storing summaries of the data model datasets1. To enable data model acceleration, you must</p><p>have administrative permissions or the accelerate_datamodel capability1. Therefore, option D is</p><p>correct. Accelerated data models cannot be edited unless you disable the acceleration first1.</p><p>Therefore, option B is correct. Private data models cannot be accelerated because they are not</p><p>visible to other users1. Therefore, option C is correct. Root events can be accelerated as long</p><p>as they are not based on a search string1. Therefore, option A is incorrect.</p><p>15. Which of the following searches show a valid use of a macro? (Choose all that apply.)</p><p>A. index=main source=mySource oldField=* |’makeMyField(oldField)’| table _time newField</p><p>B. index=main source=mySource oldField=* | stats if(‘makeMyField(oldField)’) | table _time</p><p>newField</p><p>C. index=main source=mySource oldField=* | eval newField=’makeMyField(oldField)’| table</p><p>_time newField</p><p>D. index=main source=mySource oldField=* | "’newField(‘makeMyField(oldField)’)’" | table</p><p>_time newField</p><p>Answer: AC</p><p>Explanation:</p><p>The searches A and C show a valid use of a macro. A macro is a reusable piece of SPL code</p><p>that can be called by using single quotes (‘’). A macro can take arguments, which are passed</p><p>inside parentheses after the macro name. For example, ‘makeMyField(oldField)’ calls a macro</p><p>named makeMyField with an argument oldField. The searches B and D are not valid because</p><p>they use double quotes (“”) instead of single quotes (‘’).</p><p>16. Which search would limit an "alert" tag to the "host" field?</p><p>A. tag=alert</p><p>B. host::tag::alert</p><p>C. tag==alert</p><p>D. tag::host=alert</p><p>Answer: D</p><p>Explanation:</p><p>The search below would limit an “alert” tag to the “host” field.</p><p>8 / 20</p><p>tag::host=alert</p><p>The search does the following:</p><p>It uses tag syntax to filter events by tags. Tags are custom labels that can be applied to fields or</p><p>field values to provide additional context or meaning for your data.</p><p>It specifies tag::host=alert as the tag filter. This means that it will only return events that have an</p><p>“alert” tag applied to their host field or host field value.</p><p>It uses an equal sign (=) to indicate an exact match between the tag and the field or field value.</p><p>17. A POST workflow action will pass which types of arguments to an external website?</p><p>A. Clear text only.</p><p>B. A mix of clear text strings and variables.</p><p>C. It can only send raw event data.</p><p>D. Variables only.</p><p>Answer: B</p><p>Explanation:</p><p>A POST workflow action in Splunk is designed to send data to an external web service by using</p><p>HTTP POST requests. This type of workflow action can pass a combination of clear text strings</p><p>and variables derived from the search results or event data. The clear text strings might include</p><p>static text or predefined values, while the variables are dynamic elements that represent specific</p><p>fields or values extracted from the Splunk events. This flexibility allows for constructing detailed</p><p>and context-specific requests to external systems, enabling various integration and automation</p><p>scenarios. The POST request can include both types of data, making it versatile for different</p><p>use cases.</p><p>18. What is the purpose of a calculated field?</p><p>A. To automatically add fields to</p><p>the index using an eval expression rather than manually</p><p>including an eval command.</p><p>B. To manually add and remove fields at search time related to statistical functions.</p><p>C. To automatically add fields at search time using an eval expression rather than manually</p><p>including an eval command.</p><p>D. To manually add fields at search time and check for syntax errors.</p><p>Answer: C</p><p>Explanation:</p><p>A calculated field in Splunk is designed to automatically add fields at search time using an eval</p><p>expression. This feature allows users to define new fields based on existing data without</p><p>needing to manually include an eval command in every search. Calculated fields simplify</p><p>9 / 20</p><p>repeated search tasks by embedding the eval logic directly into the field configuration.</p><p>Reference: Splunk Docs: Calculated fields</p><p>Splunk Answers: Purpose of calculated fields</p><p>19. Which workflow uses field values to perform a secondary search?</p><p>A. POST</p><p>B. Action</p><p>C. Search</p><p>D. Sub-Search</p><p>Answer: C</p><p>Explanation:</p><p>https://docs.splunk.com/Documentation/Splunk/8.0.2/Knowledge/CreateworkflowactionsinSplun</p><p>k Web</p><p>20. The limit attribute will___________.</p><p>A. override default of 10</p><p>B. only work with top command</p><p>C. override default of 20</p><p>D. override default of 15</p><p>Answer: A</p><p>21. Which statement is true?</p><p>A. Pivot is used for creating datasets.</p><p>B. Data model are randomly structured datasets.</p><p>C. Pivot is used for creating reports and dashboards.</p><p>D. In most cases, each Splunk user will create their own data model.</p><p>Answer: C</p><p>Explanation:</p><p>Reference: https://docs.splunk.com/Documentation/Splunk/8.0.3/Pivot/IntroductiontoPivot</p><p>Pivot is used for creating reports and dashboards. Pivot is a tool that allows you to create</p><p>reports and</p><p>dashboards from your data models without writing any SPL commands. Pivot can help you</p><p>visualize and analyze your data using various options, such as filters, rows, columns, cells,</p><p>charts, tables, maps, etc. Pivot can also help you accelerate your reports and dashboards by</p><p>using summary data from your accelerated data models.</p><p>Pivot is not used for creating datasets or data models. Datasets are collections of events that</p><p>10 / 20</p><p>represent your data in a structured and hierarchical way. Data models are predefined datasets</p><p>for various domains, such as network traffic, web activity, authentication, etc. Datasets and data</p><p>models can be created by using commands such as datamodel or pivot.</p><p>22. Calculated fields can be based on which of the following?</p><p>A. Tags</p><p>B. Extracted fields</p><p>C. Output fields for a lookup</p><p>D. Fields generated from a search string</p><p>Answer: B</p><p>Explanation:</p><p>"Calculated fields can reference all types of field extractions and field aliasing, but they cannot</p><p>reference lookups, event types, or tags."</p><p>23. A calculated field maybe based on which of the following?</p><p>A. Lookup tables</p><p>B. Extracted fields</p><p>C. Regular expressions</p><p>D. Fields generated within a search string</p><p>Answer: B</p><p>Explanation:</p><p>As mentioned before, a calculated field is a field that you create based on the value of another</p><p>field or fields2. A calculated field can be based on extracted fields, which are fields that are</p><p>extracted from your raw data using various methods such as regular expressions, delimiters or</p><p>key-value pairs2. Therefore, option B is correct, while options A, C and D are incorrect because</p><p>they are not types of fields that a calculated field can be based on.</p><p>24. Which of the following statements are true for this search? (Select all that apply.)</p><p>SEARCH: sourcetype=access* |fields action productld status</p><p>A. is looking for all events that include the search terms: fields AND action AND productld AND</p><p>status</p><p>B. users the table command to improve performance</p><p>C. limits the fields are extracted</p><p>D. returns a table with 3 columns</p><p>Answer: C</p><p>11 / 20</p><p>25. Why would the following search produce multiple transactions instead of one?</p><p>A. The maxspan option is not included.</p><p>B. The transaction command has a limit of 1000 events per transaction.</p><p>C. The transaction and commands cannot be used together.</p><p>D. The stats list () function is used.</p><p>Answer: A</p><p>Explanation:</p><p>The correct answer is A. The maxspan option is not included1.</p><p>In Splunk, the transaction command is used to group events that share common characteristics</p><p>into a single transaction1. By default, the transaction command groups all matching events into</p><p>a single transaction1.</p><p>However, you can use the maxspan option to limit the time span of the transactions1. If the time</p><p>span between the first and last event in a transaction exceeds the maxspan value, the</p><p>transaction command will start a new transaction1.</p><p>Therefore, if the maxspan option is not included in the search, the transaction command might</p><p>produce multiple transactions instead of one if the time span between the first and last event in</p><p>a transaction exceeds the default maxspan value1.</p><p>Here is an example of how you can use the maxspan option in a search:</p><p>12 / 20</p><p>index=main sourcetype=access_combined | transaction someuniqefield maxspan=1h</p><p>In this search, the transaction command groups events that share the same someuniqefield</p><p>value into a single transaction, but only if the time span between the first and last event in the</p><p>transaction does not exceed 1 hour1. If the time span exceeds 1 hour, the transaction command</p><p>will start a new transaction1.</p><p>26. Which of the following describes this search?</p><p>New Search</p><p>'third_party_outages(EMEA,-24h)'</p><p>A. This search will find all events for the third_party_outages event type that have "EMEA" or</p><p>"-24h" in the raw event data.</p><p>B. This search will run the third_party_outages saved search and filter for events containing</p><p>"EMEA"</p><p>and "-24h" in the raw event data.</p><p>C. This search will run the third_party_outages macro and pass the arguments EMEA and -24h</p><p>to the macro definition.</p><p>D. This search will find all events in the third_party_outages index with the tags EMEA and -24h.</p><p>Answer: C</p><p>Explanation:</p><p>This search will run the third_party_outages macro and pass the arguments EMEA and -24h to</p><p>the macro definition. A search macro is a reusable chunk of SPL that can be inserted into other</p><p>searches. A search macro can take arguments that are used to resolve the search string at</p><p>execution time. The syntax for using a search macro is macro_name (argument1, argument2,</p><p>...).</p><p>Reference</p><p>See Use search macros in searches and Search macro examples in the Splunk Documentation.</p><p>27. When does the CIM add-on apply preconfigured data models to the data?</p><p>A. Search time</p><p>B. Index time</p><p>C. On a cron schedule</p><p>D. At midnight</p><p>Answer: A</p><p>Explanation:</p><p>The Common Information Model (CIM) add-on in Splunk applies preconfigured data models to</p><p>data at search time. This means that when a search is executed, the CIM add-on uses its</p><p>13 / 20</p><p>predefined data models to normalize and map the relevant data to a common format. This</p><p>approach ensures that data is interpreted and analyzed consistently across various datasets</p><p>without modifying the data at index time.</p><p>Reference: Splunk Docs: About the Common Information Model</p><p>Splunk Answers: CIM Add-on Data Models</p><p>28. In which Settings section are macros defined?</p><p>A. Fields</p><p>B. Tokens</p><p>C. Advanced Search</p><p>D. Searches, Reports, Alerts</p><p>Answer: C</p><p>29. Which of these search strings is NOT valid:</p><p>A. index=web status=50* | chart count over host, status</p><p>B. index=web status=50* | chart count over host by status</p><p>C. index=web status=50* | chart count by host, status</p><p>Answer: A</p><p>Explanation:</p><p>This search string is not valid: index=web status=50* | chart count over host,status2. This</p><p>search string uses an invalid syntax for the chart command. The chart command requires one</p><p>field after the over clause and optionally one field after the by clause. However, this search</p><p>string has two fields after the over clause separated by a comma. This will cause a syntax error</p><p>and prevent</p><p>the search from running. Therefore, option A is correct, while options B and C are</p><p>incorrect because they are valid search strings that use the chart command correctly.</p><p>30. Where are the results of eval commands stored?</p><p>A. In a field.</p><p>B. In an index.</p><p>C. In a KV Store.</p><p>D. In a database.</p><p>Answer: A</p><p>Explanation:</p><p>https://docs.splunk.com/Documentation/Splunk/8.0.2/SearchReference/Eval</p><p>The eval command calculates an expression and puts the resulting value into a search results</p><p>field. If the field name that you specify does not match a field in the output, a new field is added</p><p>14 / 20</p><p>to the search results.</p><p>If the field name that you specify matches a field name that already exists in the search results,</p><p>the results of the eval expression overwrite the values in that field.</p><p>31. What is the Splunk Common Information Model (CIM)?</p><p>A. The CIM is a prerequisite that any data source must meet to be successfully onboarded into</p><p>Splunk.</p><p>B. The CIM provides a methodology to normalize data from different sources and source types.</p><p>C. The CIM defines an ecosystem of apps that can be fully supported by Splunk.</p><p>D. The CIM is a data exchange initiative between software vendors.</p><p>Answer: B</p><p>Explanation:</p><p>The Splunk Common Information Model (CIM) provides a methodology to normalize data from</p><p>different sources and source types. The CIM defines a common set of fields and tags for</p><p>different types of data, such as web, network, email, etc. This allows you to search and analyze</p><p>data from different sources in a consistent way.</p><p>32. When using the Field Extractor (FX) to perform a field extraction, which delimiter can be</p><p>used?</p><p>A. A period or comma.</p><p>B. A comma.</p><p>C. A tab or space.</p><p>D. Any consistent character.</p><p>Answer: D</p><p>Explanation:</p><p>When using the Field Extractor (FX) in Splunk to perform field extraction, any consistent</p><p>character can be used as a delimiter. The Field Extractor allows users to define how fields are</p><p>separated in the raw event data, and as long as the delimiter is consistent, the FX tool can</p><p>parse and extract the fields correctly.</p><p>Reference: Splunk Docs: Field Extractor</p><p>Splunk Answers: Field extraction delimiters</p><p>33. Which of the following statements about data models and pivot are true? (select all that</p><p>apply)</p><p>A. They are both knowledge objects.</p><p>B. Data models are created out of datasets called pivots.</p><p>15 / 20</p><p>C. Pivot requires users to input SPL searches on data models.</p><p>D. Pivot allows the creation of data visualizations that present different aspects of a data model.</p><p>Answer: D</p><p>Explanation:</p><p>Data models and pivot are both knowledge objects in Splunk that allow you to analyze and</p><p>visualize your data in different ways. Data models are collections of datasets that represent your</p><p>data in a structured and hierarchical way. Data models define how your data is organized into</p><p>objects and fields. Pivot is a user interface that allows you to create data visualizations that</p><p>present different aspects of a data model. Pivot does not require users to input SPL searches</p><p>on data models, but rather lets them select options from menus and forms. Data models are not</p><p>created out of datasets called pivots, but rather pivots are created from datasets in data models.</p><p>34. Which of the following is a function of the Splunk Common Information Model (CIM)?</p><p>A. Normalizing data across a Splunk deployment.</p><p>B. Providing templates for reports and dashboards.</p><p>C. Algorithmically shifting events to other indexes.</p><p>D. Reingesting previously indexed data with new field names.</p><p>Answer: A</p><p>35. What does the following search do?</p><p>A. Creates a table of the total count of users and split by corndogs.</p><p>B. Creates a table of the total count of mysterymeat corndogs split by user.</p><p>C. Creates a table with the count of all types of corndogs eaten split by user.</p><p>D. Creates a table that groups the total number of users by vegetarian corndogs.</p><p>Answer: B</p><p>Explanation:</p><p>The search string below creates a table of the total count of mysterymeat corndogs split by user.</p><p>| stats count by user | where corndog=mysterymeat The search string does the following:</p><p>It uses the stats command to calculate the count of events for each value of the user field. The</p><p>stats command creates a table with two columns: user and count.</p><p>It uses the where command to filter the results by the value of the corndog field. The where</p><p>command only keeps the rows where corndog equals mysterymeat.</p><p>Therefore, the search string creates a table of the total count of mysterymeat corndogs split by</p><p>16 / 20</p><p>user.</p><p>36. Which knowledge object is used to normalize field names to comply with the Splunk</p><p>Common Information Model (CIM)?</p><p>A. Field alias</p><p>B. Event types</p><p>C. Search workflow action</p><p>D. Tags</p><p>Answer: A</p><p>Explanation:</p><p>The correct answer is</p><p>A) Field alias123.</p><p>In Splunk, a field alias is a knowledge object that you can use to assign an alternate name to a</p><p>field3. This can be particularly useful when you want to normalize your data to comply with the</p><p>Splunk Common Information Model (CIM)12.</p><p>The CIM provides a methodology for normalizing values to a common field name1. It acts as a</p><p>search-time schema to define relationships in the event data while leaving the raw machine data</p><p>intact2. By using field aliases, you can map vendor fields to common fields that are the same for</p><p>each data source in a given domain4. This allows you to correlate events from different source</p><p>types by normalizing these different occurrences to a common structure and naming</p><p>convention1.</p><p>37. Which of the following searches will return events containing a tag named Privileged?</p><p>A. tag=Priv</p><p>B. tag=Priv*</p><p>C. tag=priv*</p><p>D. tag=privileged</p><p>Answer: B</p><p>Explanation:</p><p>The tag=Priv* search will return events containing a tag named Privileged, as well as any other</p><p>tag that starts with Priv. The asterisk (*) is a wildcard character that matches zero or more</p><p>characters. The other searches will not match the exact tag name.</p><p>38. Which of the following objects can a calculated field use as a source?</p><p>A. An alias of a field.</p><p>B. A field added by an automatic lookup.</p><p>17 / 20</p><p>C. The tag field.</p><p>D. The eventtype field.</p><p>Answer: B</p><p>Explanation:</p><p>The correct answer is B. A field added by an automatic lookup.</p><p>A calculated field is a field that is added to events at search time by using an eval expression. A</p><p>calculated field can use the values of two or more fields that are already present in the events to</p><p>perform calculations. A calculated field can use any field as a source, as long as the field is</p><p>extracted before the calculated field is defined1.</p><p>An automatic lookup is a way to enrich events with additional fields from an external source,</p><p>such as a CSV file or a database. An automatic lookup can add fields to events based on the</p><p>values of existing fields, such as host, source, source type, or any other extracted field2. An</p><p>automatic lookup is performed before the calculated fields are defined, so the fields added by</p><p>the lookup can be used as sources for the calculated fields3.</p><p>Therefore, a calculated field can use a field added by an automatic lookup as a source.</p><p>Reference: About calculated fields</p><p>About lookups</p><p>Search time processing</p><p>39. Which of the following data models are included in the Splunk Common Information Model</p><p>(CIM)</p><p>add-on? (select all that apply)</p><p>A. User permissions</p><p>B. Alerts</p><p>C. Databases</p><p>D. Email</p><p>Answer: BD</p><p>Explanation:</p><p>The Splunk Common Information Model (CIM) Add-on includes a variety of data models</p><p>designed to normalize data from different sources to allow for cross-source reporting and</p><p>analysis. Among the data models included, Alerts (Option B) and Email (Option D) are part of</p><p>the CIM. The Alerts data model is used for data related to alerts and incidents, while the Email</p><p>data model is used for data pertaining to email messages and transactions. User permissions</p><p>(Option A) and Databases (Option C) are not data</p><p>models included in the CIM; rather, they</p><p>pertain to aspects of data access control and specific types of data sources, respectively, which</p><p>are outside the scope of the CIM's predefined data models.</p><p>18 / 20</p><p>40. A field alias is created where field1?fieid2 and the Overwrite Field Values checkbox is</p><p>selected.</p><p>What happens if an event only contains values for fieid1?</p><p>A. field2 values are removed from the events.</p><p>B. field1 and field2 values are merged.</p><p>C. field2 values are unchanged.</p><p>D. field2 values are replaced with the value of the field1.</p><p>Answer: D</p><p>Explanation:</p><p>The correct answer is D. field2 values are replaced with the value of the field1.</p><p>A field alias is a way to associate an additional (new) name with an existing field name. A field</p><p>alias can be used to normalize fields from different sources that have different names but</p><p>represent the same data. Field aliases can also be used to rename fields for clarity or</p><p>convenience1.</p><p>When you create a field alias in Splunk Web, you can select the Overwrite Field Values option</p><p>to change the behavior of the field alias. This option affects how the Splunk software handles</p><p>situations where the original field has no value or does not exist, as well as situations where the</p><p>alias field already exists as a field in your events, alongside the original field2.</p><p>If you select the Overwrite Field Values option, the following rules apply:</p><p>If the original field does not exist or has no value in an event, the alias field is removed from that</p><p>event.</p><p>If the original field and the alias field both exist in an event, the value of the alias field is</p><p>replaced with the value of the original field.</p><p>If you do not select the Overwrite Field Values option, the following rules apply:</p><p>If the original field does not exist or has no value in an event, the alias field is unchanged in that</p><p>event.</p><p>If the original field and the alias field both exist in an event, both fields are retained with their</p><p>respective values.</p><p>Therefore, if you create a field alias where field1?field2 and select the Overwrite Field Values</p><p>option, and an event only contains values for field1, then the value of field2 will be replaced with</p><p>the value of field1.</p><p>Reference: About calculated fields</p><p>About field aliases</p><p>Create field aliases in Splunk Web</p><p>19 / 20</p><p>41. These allow you to categorize events based on search terms. Select your answer.</p><p>A. Groups</p><p>B. Event Types</p><p>C. Macros</p><p>D. Tags</p><p>Answer: B</p><p>More Hot Exams are available.</p><p>350-401 ENCOR Exam Dumps</p><p>350-801 CLCOR Exam Dumps</p><p>200-301 CCNA Exam Dumps</p><p>Powered by TCPDF (www.tcpdf.org)</p><p>20 / 20</p><p>https://www.certqueen.com/promotion.asp</p><p>https://www.certqueen.com/350-401.html</p><p>https://www.certqueen.com/350-801.html</p><p>https://www.certqueen.com/200-301.html</p><p>http://www.tcpdf.org</p>