Splunk Intermediate Interview Questions
  1. Can you explain how to perform advanced searches in Splunk?
  2. How does Splunk handle data normalization and transformation?
  3. Can you describe the process of creating custom dashboards and visualizations in Splunk?
  4. How does Splunk handle data correlation and analysis?
  5. What are the different methods for data enrichment in Splunk?
  6. Can you explain the process of creating and using macros in Splunk?
  7. How does Splunk handle data ingestion from various sources and formats?
  8. Can you explain how to perform advanced data correlation and analysis in Splunk to identify patterns and trends in real-time?
  9. How does Splunk handle data normalization and transformation for different data types and sources?
  10. Can you describe the best practices for optimizing search performance and reducing search latency in Splunk?
  11. How does Splunk handle data aggregation and summarization for large-scale data sets?
  12. Can you explain the difference between stats and eventstats in Splunk search language? Provide a code example to demonstrate the usage of both.
  13. How do you perform field extraction in Splunk?
  14. Can you explain the difference between lookup and join in Splunk search language?
  15. How do you perform data enrichment in Splunk using lookups?
  16. Can you explain the usage of eval and fields functions in Splunk search language?
  17. How do you perform data normalization and transformation in Splunk?
  18. Can you explain the usage of transactional commands in Splunk search language?
  19. How do you perform real-time data streaming and processing in Splunk using Splunk Streaming?
  20. Can you explain the usage of machine learning algorithms in Splunk using the Splunk Machine Learning Toolkit (MLTK)?
  21. How do you perform data correlation and analysis in Splunk using the Splunk Enterprise Security (ES)?
Splunk Interview Questions For Experienced
  1. Can you explain how to perform complex data analysis and correlations using Splunk?
  2. How does Splunk handle large-scale data processing and management?
  3. Can you describe the process of creating and using custom data models and knowledge objects in Splunk?
  4. How does Splunk handle real-time data streaming and processing using Splunk Streaming?
  5. Can you explain the process of creating and using custom Splunk Apps and add-ons for specific use cases and domains?
  6. How does Splunk handle data integration with artificial intelligence and machine learning algorithms?
  7. Can you describe the process of setting up and using Splunk for predictive analytics and forecasting?
  8. How does Splunk handle data integration with web analytics and digital marketing tools?
  9. Can you explain how to perform complex data analysis and correlations using advanced techniques like machine learning and statistical modeling in Splunk?
  10. How does Splunk handle large-scale data processing and management for petabyte-scale data sets?
  11. Can you describe the best practices for integrating Splunk with big data platforms and data lakes for advanced analytics and data science?
  12. How does Splunk handle data integration with blockchain technologies and distributed ledger systems for secure and transparent data management?
  13. Can you explain the process of creating and using custom Splunk Apps and add-ons for specific use cases and domains?
  14. How does Splunk handle data integration with artificial intelligence and machine learning algorithms for predictive analytics and forecasting?
  15. Can you describe the best practices for setting up and using Splunk for data governance and compliance requirements in regulated industries?
  16. How does Splunk handle data integration with customer relationship management (CRM) and marketing automation tools for customer behavior analysis and optimization?
  17. Can you explain the process of creating and using custom Splunk visualizations for specific industries and domains to meet industry-specific requirements?
  18. How does Splunk handle data integration with DevOps tools and processes for continuous integration and delivery (CI/CD) pipelines?
  19. Can you explain the usage of custom scripts and add-ons in Splunk?
  20. How do you perform log analysis and IT operations management in Splunk?
  21. Can you explain the usage of predictive analytics and forecasting in Splunk?
  22. How do you perform data integration with cloud services and platforms in Splunk?
  23. Can you explain the usage of custom visualizations in Splunk?