Splunk SPLK-1002 Practice Test - Questions Answers, Page 6

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.

The eval command is used to create new fields or modify existing fields based on an expression2.The sort command is used to sort the results by one or more fields in ascending or descending order2.If you want to convert numeric field values to strings and also sort on those values, you should use the sort command first, then use the eval command to convert the values to strings2. This way, the sort command will use the original numeric values for sorting, rather than the converted string values which may not sort correctly. Therefore, option C is correct, while options A, B and D are incorrect.

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.

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 it3.The CIM add-on includes several data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more3. Therefore, options A, B and C are correct because they are names of some of the data models included in the CIM add-on. Option D is incorrect because User permissions is not a name of a data model in the CIM add-on.

The search command is used to filter or refine your search results based on a search string that matches the events2.The search command behaves exactly like search strings before the first pipe, which means that you can use the same syntax and operators as you would use in the initial part of your search2. Therefore, option D is correct, while options A, B and C are incorrect because they are not true statements about the search command.

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 it3.The CIM add-on includes pre-configured data models that cover various domains such as Alerts, Email, Database, Network Traffic, Web and more3. 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 models3. 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.

A delimiter field extraction is a method of extracting fields from data that uses a character or a string to separate fields in each event. A delimiter field extraction can be performed by using the Field Extractor (FX) tool or by editing the props.conf file. A delimiter field extraction can be applied to any file format that uses a delimiter to separate fields, such as CSV, TSV, PSV, etc. A CSV file is a comma-separated values file that uses commas as delimiters. Therefore, a CSV file can be extracted using a delimiter field extraction.

A macro is a reusable search string that can contain any part of a search, such as search terms, commands, arguments, etc. A macro can have a flexible time range that can be specified when the macro is executed. A macro can also have arguments that can be passed to the macro when it is executed. A macro can be created by using the Settings menu or by editing the macros.conf file. A macro does not have to contain the full search, but only the part that needs to be reused. A macro does not have to have a fixed time range, but can use a relative or absolute time range modifier. A macro does not have to contain only a portion of the search, but can contain multiple parts of the search.

Calculated fields are fields that are created by performing calculations on existing fields using the eval command. Calculated fields can be used in the search bar to filter and transform events based on the calculated values. Calculated fields can also be based on an extracted field, which is a field that is extracted from raw data using various methods, such as regex, delimiters, lookups, etc. Calculated fields are not shortcuts for performing calculations using the eval command, but rather results of performing calculations using the eval command. Calculated fields can be applied to any field in Splunk, not only host and sourcetype.

Therefore, statements A, B, and D are true about calculated fields.