decreased compared to the previous period. It is configured in the 'Single Value' visualization options under 'Comparison' settings.","examTrap":"The trap here is that candidates often confuse the sparkline (which shows a trend over time) with the comparison feature (which shows a specific increase/decrease arrow), but the question explicitly asks for a 'trend indicator' comparing to a previous period, which is exactly what the Comparison feature provides.","examTip":null,"technicalDeepDive":"The Comparison feature in Splunk's Single Value visualization uses the 'before' and 'after' time ranges defined in the search or the visualization options to calculate the difference and display it as a percentage or absolute change with an arrow indicator. Under the hood, Splunk runs the same search over two time ranges (e.g., current period and previous period) and computes the delta. This is distinct from a sparkline, which plots the data points over time but does not compute a period-over-period comparison.","keyConcepts":[],"faqs":[],"eliminationLogic":null,"exhibitText":null,"exhibitUrl":null,"hasExhibit":false,"isExhibitQuestion":false,"questionPairs":null,"hasMatchingPairs":false,"isMatchingQuestion":false,"relatedQuestions":[],"breadcrumbItems":null,"nextQuestionUrl":null,"previousQuestionUrl":null,"domainPracticeUrl":null,"certificationUrl":null,"domainUrl":null,"hasAnswerOptions":true,"updatedAt":"2026-06-24T22:47:10.275+00:00","questionType":"multiple_choice"},{"id":"1a3e4e64-ba68-4f81-963b-217e65485f38","slug":"when-tagging-events-in-splunk-to-map-them-to-a-data-model-w-y3lpu","certificationSlug":"splunk-core-certified-user","examCode":"SPLK-1001","examName":"Splunk Core Certified User SPLK-1002","questionText":"When tagging events in Splunk to map them to a data model, which tag is used to associate events with a specific data model dataset?","difficulty":"easy","domain":"","domainSlug":"","topic":"","questionNumber":0,"totalQuestions":0,"options":[{"key":"A","isCorrect":false,"text":"tag::datamodel=","explanation":"The correct syntax is tag::=, not tag::datamodel.","masteryContext":""},{"key":"B","isCorrect":true,"text":"tag::=","explanation":"This format correctly maps events to a data model dataset.","masteryContext":""},{"key":"C","isCorrect":false,"text":"tag::=","explanation":"Should be , not .","masteryContext":""},{"key":"D","isCorrect":false,"text":"tag::=","explanation":"The order is reversed; dataset should be after the equals sign.","masteryContext":""}],"correctOptionKey":"B","correctOptions":["B"],"correctAnswerText":"","isMultiSelect":false,"mainExplanation":"In Splunk, the tag syntax `tag::=` is used to map events to a specific dataset within a data model. The tag key is the data model name, and the tag value is the dataset name, which allows Splunk's data model acceleration to correctly categorize events for reporting and pivot use.","examTrap":"The trap here is that candidates often confuse the order of the data model name and dataset name, mistakenly thinking the dataset should be the tag key (as in option D) or that a generic placeholder like 'datamodel' works (as in option A), when Splunk strictly requires the data model name as the tag key and the dataset name as the tag value.","examTip":null,"technicalDeepDive":"Under the hood, Splunk uses these tags to populate the `datamodel` field during index-time or search-time field extraction, enabling the `| datamodel` command and pivot functionality to filter events by dataset. A real-world scenario is when you have a web access data model with datasets like 'Web_Access' and 'Web_Error'; tagging events with `tag::Web=Web_Access` ensures only relevant events appear in that dataset's pivot. This tag-based mapping is critical for data model acceleration to precompute summaries, as incorrect tags can cause missing or misclassified data in reports.","keyConcepts":[],"faqs":[],"eliminationLogic":null,"exhibitText":null,"exhibitUrl":null,"