Top 10 OpenSearch on AWS Interview Q&A

Interview, AWS By May 20, 2023 No Comments

I can certainly help you with top AWS OpenSearch interview questions and answers. AWS OpenSearch is a managed search and analytics service based on the open-source Elasticsearch and Kibana. Here are the top 10 AWS OpenSearch interview questions and answers:

  1. What is AWS OpenSearch and why is it used?

AWS OpenSearch is a fully managed search and analytics service that provides easy-to-use APIs, real-time analytics capabilities, and a rich set of features, such as full-text search, faceted search, and geo-spatial search. It’s designed for use cases like log analytics, application monitoring, and enterprise search.

  1. What are the key components of AWS OpenSearch?

The key components of AWS OpenSearch are OpenSearch and OpenSearch Dashboards, which are derived from Elasticsearch and Kibana, respectively. OpenSearch is the search and analytics engine, while OpenSearch Dashboards is the visualization and user interface component.

  1. How do you scale an OpenSearch cluster?

To scale an OpenSearch cluster, you can either vertically scale by modifying the instance type of your data nodes or horizontally scale by adding more data nodes to your cluster. You can also enable shard splitting to increase the number of primary shards in an existing index.

  1. What are the differences between Amazon OpenSearch and Elasticsearch?

Amazon OpenSearch is a fully managed service based on the open-source Elasticsearch project. AWS OpenSearch provides additional features, such as automated backups, integration with other AWS services, and easier scaling options.

  1. How do you secure your OpenSearch cluster?

You can secure your OpenSearch cluster by enabling AWS Identity and Access Management (IAM) for access control, using Amazon VPC to create an isolated network, implementing encryption at rest and in transit, and configuring audit logs for monitoring.

  1. What is a document, index, and shard in OpenSearch?

A document is a JSON object that contains data to be indexed and searched. An index is a collection of documents that share similar characteristics, and a shard is a subset of an index that can be distributed across multiple nodes in a cluster for improved performance and fault tolerance.

  1. How do you monitor the performance and health of an OpenSearch cluster?

You can use Amazon CloudWatch to monitor key performance metrics and set alarms, as well as OpenSearch Dashboards for cluster and node-level metrics. You can also enable Slow Log to identify and analyze slow-performing queries.

  1. What is an OpenSearch index template, and why is it important?

An OpenSearch index template is a JSON object that defines settings, mappings, and aliases for one or more indices. Index templates are essential for ensuring consistent configurations across indices, optimizing performance, and managing data lifecycle policies.

  1. Can you integrate AWS Lambda with OpenSearch?

Yes, you can integrate AWS Lambda with OpenSearch using AWS Lambda function and event sources like Amazon S3, Amazon Kinesis Data Streams, or Amazon DynamoDB streams. The Lambda function processes the incoming data and indexes it into the OpenSearch cluster.

  1. How do you migrate data from an existing Elasticsearch cluster to an AWS OpenSearch cluster?

You can migrate data from an Elasticsearch cluster to an AWS OpenSearch cluster using snapshot and restore, reindex API, or tools like Logstash or Amazon Kinesis Data Firehose. Additionally, you can use the “_reindex” API to copy data between remote clusters.


I'm Abhay Singh, an Architect with 9 Years of It experience. AWS Certified Solutions Architect.

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