![]() Highlight specific challenges and how you overcame them. Prepare examples of past projects: Be ready to discuss previous projects you have worked on and how you have contributed to the project’s success.Be prepared to discuss how you have used these skills in previous projects and how you plan to use them in this role. Highlight your soft skills: Enterprise Architects need strong communication, leadership, and collaboration skills.Practice explaining your thought process and how you arrived at your solution. Practice problem-solving: Be ready to solve real-world problems related to Splunk’s implementation and use cases.Be ready to explain how you have used these technologies in previous projects. Review your technical skills: Be prepared to discuss your experience with Splunk and other related technologies, such as AWS, Linux, and SQL.Brush up on Splunk knowledge: Review Splunk documentation and practice using the platform to improve your knowledge and proficiency. ![]() This will help you understand the organization and how you can contribute as an Enterprise Architect. Research the company: Learn about the company’s culture, values, and Splunk implementation.This will help you tailor your responses and highlight relevant experience during the interview. Review the job description: Make sure you understand the responsibilities, skills, and qualifications required for the position.Here are some steps you can take to prepare for the interview: Preparing for an interview for the role of Splunk Enterprise Architect can be a daunting task, but with the right strategy, you can increase your chances of success. Enterprise architecture is about your conceptual understanding and capacity to apply that understanding intelligently. When it comes to the Splunk Enterprise Architect interview, it’s critical to recognize the importance of both theoretical and practical expertise. Once you have finished with maintenance, you should disable maintenance mode.Preparing for an interview is a critical step in achieving your goals. Put the cluster into maintenance mode before starting maintenance activity. Maintenance mode works the same for single-site and multisite clusters. This period is usually short, often just a few seconds, but even a short period of primary fixup can affect in-progress searches. In addition, if the cluster loses even a single peer node while in maintenance mode, it can potentially return incomplete results for searches running during the subsequent period of primary fixup. Similarly, if the cluster loses peer nodes in numbers equal to or greater than the replication factor, it also loses its valid state for the duration of maintenance mode. See Indexer cluster states to understand the implications of this. Therefore, if the cluster loses a peer node during maintenance mode, it can be operating under a valid but incomplete state. This means that the manager node does not enforce replication factor or search factor policy during maintenance mode. In particular, the cluster does not perform fixup that entails replicating buckets or converting buckets from non-searchable to searchable. The manager node will attempt, when necessary, to reassign primaries to available searchable bucket copies. The only bucket fix-up that occurs during maintenance mode is primary fixup. To prevent buckets from rolling unnecessarily, maintenance mode halts most bucket fix-up activity. The effect of maintenance mode on cluster operation ![]() A message stating that maintenance mode is running appears on the manager node dashboard. Note: The CLI commands splunk apply cluster-bundle and splunk rolling-restart incorporate maintenance mode functionality into their behavior by default, so you do not need to invoke maintenance mode explicitly when you run those commands. Similarly, if you need to upgrade your peers or otherwise temporarily offline several peers, you can invoke maintenance mode to forestall bucket rolling during that time. This can be useful for system maintenance work that generates repeated network errors, such as network reconfiguration. To stop this behavior, you can temporarily put the cluster into maintenance mode. Situations that can generate an unacceptable number of small buckets include persistent network problems or repeated offlining of peers. While this behavior is generally beneficial to the health of the indexer cluster, it can result in many small buckets across the cluster, if errors occur frequently. Because it halts critical bucket fixup activity, use maintenance mode only when necessary.Ĭertain conditions can generate errors during hot bucket replication and cause the source peer to roll the bucket. It is useful when performing peer upgrades and other maintenance activities on an indexer cluster. ![]() Maintenance mode halts most bucket fixup activity and prevents frequent rolling of hot buckets.
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