Crack Your AWS OpenSearch Interview with These Top Questions

Here are the top 10 AWS OpenSearch interview questions along with their answers:

  1. Q: What is AWS OpenSearch? A: AWS OpenSearch is a fully managed, open-source search and analytics engine derived from Elasticsearch. It allows you to explore, analyze, and visualize data using various search and analytics features.

  2. Q: What are the key features of AWS OpenSearch? A: The key features of AWS OpenSearch include full-text search, distributed search, near real-time search, automatic indexing, scalability, security, and various analytics capabilities such as aggregations, filters, and geo-spatial search.

  3. Q: How is AWS OpenSearch different from Amazon Elasticsearch Service? A: AWS OpenSearch is the successor to Amazon Elasticsearch Service. While they share a common ancestry, AWS OpenSearch provides additional features, improved stability, and ongoing development and support from AWS.

  4. Q: How can you secure data in AWS OpenSearch? A: You can secure data in AWS OpenSearch by utilizing various security features such as Amazon Cognito for user authentication, fine-grained access control using AWS Identity and Access Management (IAM) roles and policies, and enabling encryption in transit and at rest.

  5. Q: Can you integrate AWS OpenSearch with other AWS services? A: Yes, AWS OpenSearch can be easily integrated with other AWS services. For example, you can ingest data from Amazon S3, AWS IoT, or Amazon Kinesis into OpenSearch. You can also use AWS Lambda to perform serverless functions in response to OpenSearch events.

  6. Q: How does scaling work in AWS OpenSearch? A: AWS OpenSearch supports horizontal scaling by allowing you to add or remove nodes from the cluster. It uses automatic shard rebalancing to distribute data evenly across the nodes, ensuring high availability and improved performance.

  7. Q: How can you monitor the performance of AWS OpenSearch? A: You can monitor the performance of AWS OpenSearch using various tools and services such as Amazon CloudWatch, which provides metrics and alarms for monitoring cluster health and performance. You can also use Elasticsearch APIs to retrieve statistics and performance insights.

  8. Q: Can you customize the configuration of AWS OpenSearch? A: Yes, AWS OpenSearch allows you to customize various aspects of the cluster configuration, such as the number of shards and replicas, index settings, and search settings. You can modify these configurations to optimize performance and meet specific requirements.

  9. Q: How can you perform data backups and disaster recovery in AWS OpenSearch? A: AWS OpenSearch provides automated snapshots that allow you to back up and restore your cluster data. You can configure snapshot schedules, retention policies, and store snapshots in Amazon S3 for durable backup storage. This enables disaster recovery in case of data loss or cluster failure.

  10. Q: What are the different API endpoints provided by AWS OpenSearch? A: AWS OpenSearch provides several API endpoints for managing and interacting with the cluster. Some of the important endpoints include the OpenSearch REST API for data indexing and querying, the Kibana endpoint for visualizing and exploring data, and the Management API for cluster administration tasks.

Remember, these questions and answers are meant to serve as a starting point for interview preparation. It's always a good idea to dive deeper into each topic and explore additional resources to gain a more comprehensive understanding of AWS OpenSearch.

Did you find this article valuable?

Support Abhay Singh by becoming a sponsor. Any amount is appreciated!