The popularity of Big data have in turn sparked the demand for Splunk. Today, a career in this domain is considered very lucrative. Did you know, implementing Splunk in an organisation can accelerate its growth? The question is, do you have the skills to do that? If the answer is yes, then prepare yourself to face intense competition in this field.
For a career in this domain, the first step is to attend a training program and then get certified. Check out Splunk training and certification courses. However, only this is not sufficient to get you that sought after Splunk career in a top organization. The first and the most important hurdle that you will face at any company is the grueling session of interview that you have to go through. One way to ace the interview is by preparing yourself with the following questions. These questions are some of the frequently ones asked on Splunk.
Frequently Asked Splunk Interview Questions With Answers
- Define Splunk?
A software technology to search, analyze and interpret unstructured data that is generated from websites. This data is gathered from websites, sensor and other devices to make up the particular businesses IT infrastructure. Splunk is particularly a miraculous tool when it comes to data analytics.
- Explain how Splunk works
This is a sure- shot question that interviewer can ask to find out how well you know Splunk.Splunk works in three stages:In the first stage it gathers data from as many sources as required and forwards it to the Indexer to effectively solve the person’s query. In the second stage it transforms the collected data into results so that the person’s query can be solved. Last stage involves depicting the information through graphs or pie charts so that it can be understood by everyone.
- Why is Splunk used for the analysis of machine data?
This is because of the valuable insights it gives into IT app management, compliance, operations, security, and detection of threat & fraudery.
- What are the components of Splunk?
The three components of Splunk are Forwarder, Search Head and Indexer.Forwarder gathers data from different sources and then forwards it to the Indexer. Indexer then stores it locally in cloud/ the host computer. Search head carries out various functions on this stored data like search, analyze and visualize.Note: In a larger setting, it is possible to have another component called Deployment Server or Management Console Host. Deployment server behaves like an antivirus policy server helping to implement groups and exceptions. This component also helps users in mapping and creating policies for multiple data set collection for servers like Linux, Windows, or Solaris based servers. It can also be used to manipulate various apps running on various operating systems from one single place.
- Why people prefer Splunk as compared to other open-source options?
Splunk is the only tool is capable of managing operations like data analysis, giving security & managing IT operation and doing business intelligence. This is how Splunk makes a difference and assists users to scale their business infrastructure.
- Why do companies adopt Splunk?
i. It works as ‘Google” for log files
ii. The users can use simpler terms to search with the aim of Search processing Language(SPL)
iii. It does not require any data base or backend as the data is directly stored in the Spunk file system
iv. With Splunk there is no chance of encountering even a single point of failure
- What would you do if the License Master is unreachable?
In such instances, you cannot perform data searching. However, there will not be a problem with the data that is being received by the indexer. It will resume its passage to the Splunk deployment and the indexer will do indexing. The user will also get a warning message on the Search Head or UI cautioning if the index volume is exceeded.
- What is ‘license violation’ in Splunk?
In Splunk a licence violation happens when you exceed the data limit. Free versions are given three warnings whereas five warnings are given in case of Commercial licensing.
- Can you tell some use cases of Knowledge Objects?
Knowledge objects can be employed in different domains such as in Application monitoring, Network security, Physical security, Employee management and Data searching.
i. Application Monitoring – It is possible with knowledge objects to monitor your applications in real- time, configure alerts for notifying in case there is a downtime or when application crashes
ii. Network security – You can improve the security in your systems by blacklisting certain IPs from entering your system. This can be accomplished by employing Knowledge objects known as lookups.
iii. Employee Management: Knowledge objects also enables you in monitoring the activities of the people who are on their notice period. You can make a list of these people and make a rule to stop them from replicating the data and leveraging it outside.
iv. Application Monitoring: With the help of knowledge objects, monitoring your applications in real-time and configuring alerts to notify you in case of any downtime or if you app crashes becomes possible.
v. Physical Security: In case your business is dealing with physical security, then you can benefit from data that has info on flooding, volcanoes, earthquakes etc to extract valuable insights