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Jan 24, 2024 · Top Splunk Interview Questions & Answers. 1. Define Splunk. Splunk is a software platform that allows users to analyze machine-generated data (from hardware devices, networks, servers, IoT devices, etc.). Splunk is widely used for searching, visualizing, monitoring, and reporting enterprise data.
May 8, 2024 · I interviewed at Splunk. Interview. quick, one hr intro round, one coding challenge 60 min, then onsite that is about 4-5 sections but can be split between two days. the recruiter acted quick which was nice. but after final round, it took a week or two to hear back and i didn't get it. Interview questions [1] Question 1.
Some behavior questions and then some questions about your resume. Another interview consisted of some leetcode questions with follow ups and an open-ended system design question. Interviews were all pretty nice. Interview questions [1] Question 1. Behavior questions, questions about resume, leetcode, and system design.
View answer. Splunk supports a wide range of data inputs, including structured, semi-structured, and unstructured data. These inputs can come from a variety of sources, such as files, directories, network protocols, and APIs. Some of the most common data inputs supported by Splunk include:
Oct 13, 2023 · To assist in your preparation, we’ve curated a list of common Splunk Administrator interview questions along with insights on how to provide comprehensive and compelling answers. This guide will help you confidently convey your expertise and value to potential employers during your interview. 1.
Sep 11, 2023 · Top 25 Splunk Interview Questions & Answers. Get ready for your interview at Splunk with a list of common questions you may encounter and how to prepare for them effectively. Splunk, a leading American technology company, has revolutionized the world of data analytics with its innovative software platform. Founded in 2003, Splunk specializes in ...
1) What is Splunk? Splunk is a software technology and platform used for searching, visualizing, and monitoring machine-generated big data. It facilitates users to analyze machine-generated data (that can be generated form hardware devices, networks, servers, IoT devices, etc.). That's why it is called "Google" for machine-generated data.
