Amazon OpenSearch Service is used to do interactive log analytics, real-time application monitoring, internet search, and other tasks. OpenSearch is a distributed search and analytics package based on Elasticsearch that is open source. Amazon OpenSearch Service is the successor of Amazon Elasticsearch Service, and it includes the most recent versions of OpenSearch, as well as support for 19 different versions of Elasticsearch (from 1.5 to 7.10), as well as visualisation features via OpenSearch Dashboards and Kibana (1.5 to 7.10 versions).
AWS(Amazon
Web Services) Interview Questions and Answers
AWS Cloud Interview Questions and Answers
Ques. 1): What is an Amazon OpenSearch Service domain?
Answer:
Elasticsearch (1.5 to 7.10) or OpenSearch clusters built with the Amazon OpenSearch Service dashboard, CLI, or API are considered Amazon OpenSearch Service domains. Each domain is a cloud-based OpenSearch or Elasticsearch cluster with the computation and storage resources you choose. Domains may be created and deleted, infrastructure attributes can be defined, and access and security can be controlled. One or more Amazon OpenSearch Service domains can be used.
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Ques. 2): Why should I store my items in cold storage?
Answer:
Cold storage allows you to increase the data you wish to examine on Amazon OpenSearch Service at a lower cost and acquire significant insights into data that was previously purged or archived. If you need to undertake research or forensic analysis on older data and want to access all of the features of Amazon OpenSearch Service at an affordable price, cold storage is a wonderful choice. Cold storage is designed for large-scale deployments and is supported by Amazon S3. Find and discover the data you want, then link it to your cluster's UltraWarm nodes and make it available for analysis in seconds. The same fine-grained access control restrictions that limit access at the index, document, and field level apply to attached cold data.
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Ques. 3): What types of error logs does Amazon OpenSearch Service expose?
Answer:
OpenSearch makes use of Apache Log4j 2 and its built-in log levels of TRACE, DEBUG, INFO, WARN, ERROR, and FATAL (from least to most severe). If you enable error logs, Amazon OpenSearch Service sends WARN, ERROR, and FATAL log lines to CloudWatch, as well as select failures from the DEBUG level.
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Ques. 4): Is it true that enabling slow logs in Amazon OpenSearch Service also enables logging for all indexes?
Answer:
No. When slow logs are enabled in Amazon OpenSearch Service, the option to publish the generated logs to Amazon CloudWatch Logs for indices in the provided domain becomes available. However, in order to begin the logging process, you must first adjust the parameters for one or more indices.
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Ques. 5): Is it possible to make more snapshots of my Amazon OpenSearch Service domains as needed?
Answer:
Yes. In addition to the daily-automated snapshots made by Amazon OpenSearch Service, you may utilise the snapshot API to make extra manual snapshots. Manual snapshots are saved in your S3 bucket and are subject to Amazon S3 use fees.
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Ques. 6): Is there any performance data available from Amazon OpenSearch Service via Amazon CloudWatch?
Answer:
Yes. Several performance indicators for data and master nodes are exposed by Amazon CloudWatch, including number of nodes, cluster health, searchable documents, EBS metrics (if relevant), CPU, memory, and disc use.
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Ques. 7): Can my Amazon OpenSearch Service domains be accessed by applications operating on servers in my own data centre?
Answer:
Yes. Through a public endpoint, applications having public Internet access can access Amazon OpenSearch Service domains. You can utilise VPC access if your data centre is already linked to Amazon VPC using Direct Connect or SSH tunnelling. In both circumstances, you may use IAM rules and security groups to grant access to your Amazon OpenSearch Service domains to applications operating on non-AWS servers.
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Ques. 8): How does Amazon OpenSearch Service handle AZ outages and instance failures?
Answer:
When one or more instances in an AZ become unavailable or unusable, Amazon OpenSearch Service attempts to put up new instances in the same AZ to take their place. If the domain has been set to deploy instances over several AZs, and fresh instances cannot be brought up in the AZ, Amazon OpenSearch Service brings up new instances in the other available AZs. When the AZ problem is resolved, Amazon OpenSearch Service rebalances the instances so that they are evenly distributed among the domain's AZs.
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Ques. 9): What is the distribution of dedicated master instances among AZs?
Answer:
When you deploy your data instances in a single AZ, you must also deploy your dedicated master instances in the same AZ. If you divide your data instances over two or three AZs, Amazon OpenSearch Service distributes the dedicated master instances across three AZs automatically. If a region only has two AZs, or if you choose an older-generation instance type for the master instances that isn't accessible in all AZs, this rule does not apply.
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Ques. 10): Is it possible to integrate Amazon OpenSearch Service with Logstash?
Answer:
Yes. Logstash is compatible with Amazon OpenSearch Service. You may use your Amazon OpenSearch Service domain as the backend repository for all Logstash logs. You may use request signing to authenticate calls from your Logstash implementation or resource-based IAM policies to include IP addresses of instances running your Logstash implementation when configuring access control on your Amazon OpenSearch Service domain.
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Ques. 11): What does the Amazon OpenSearch Service accomplish for me?
Answer:
From delivering infrastructure capacity in the network environment you require to installing the OpenSearch or Elasticsearch software, Amazon OpenSearch Service automates the work needed in setting up a domain. Once your domain is up and running, Amazon OpenSearch Service automates standard administration chores like backups, instance monitoring, and software patching. The Amazon OpenSearch Service and Amazon CloudWatch work together to provide metrics that offer information about the condition of domains. To make customising your domain to your application's needs easier, Amazon OpenSearch Service provides tools to adjust your domain instance and storage settings.
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Ques. 12): What data sources is Trace Analytics compatible with?
Answer:
Trace Analytics now enables the collection of trace data from open source OpenTelemetry Collector-compatible application libraries and SDKs, such as the Jaeger, Zipkin, and X-Ray SDKs. AWS Distro for OpenTelemetry, a distribution of OpenTelemetry APIs, SDKs, and agents/collectors, is also integrated with Trace Analytics. It is an AWS-supported, high-performance and secure distribution of OpenTelemetry components that has been tested for production usage. Customers may utilise AWS Distro for OpenTelemetry to gather traces and metrics for a variety of monitoring solutions, including Amazon OpenSearch Service, AWS X-Ray, and Amazon CloudWatch for trace data and metrics, respectively.
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Ques. 13): What is the relationship between Open Distro for Elasticsearch and the Amazon OpenSearch Service?
Answer:
Open Distro for Elasticsearch has a new home in the OpenSearch project. Amazon OpenSearch Service now supports OpenSearch and provides capabilities such as corporate security, alerting, machine learning, SQL, index state management, and more that were previously only accessible through Open Distro.
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Ques. 14): What are UltraWarm's performance characteristics?
Answer:
UltraWarm implements granular I/O caching, prefetching, and query engine improvements in OpenSearch Dashboards and Kibana to give performance comparable to high-density installations using local storage.
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Ques. 15): Is it possible to cancel a Reserved Instance?
Answer:
No, Reserved Instances cannot be cancelled, and the one-time payment (if applicable) and discounted hourly usage rate (if applicable) are non-refundable. You also won't be able to move the Reserved Instance to another account. Regardless matter how much time you use your Reserved Instance, you must pay for each hour.
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Ques. 16): What happens to my reservation if I scale my Reserved Instance up or down?
Answer:
Each Reserved Instance is linked to the instance type and region that you choose. You will not receive lower pricing if you change the instance type in the Region where you have the Reserved Instance. You must double-check that your reservation corresponds to the instance type you intend to utilise.
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Ques. 17): For the Amazon OpenSearch Service, what constitutes billable instance hours?
Answer:
Instance hours are invoiced for each hour your instance is running in an available state on Amazon OpenSearch Service. To prevent being paid for extra instance hours, you must deactivate the domain if you no longer want to be charged for your Amazon OpenSearch Service instance. Instance hours utilised in part by Amazon OpenSearch Service are invoiced as full hours.
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Ques. 18): Is it possible to update the domain swiftly without losing any data?
Answer:
No. All of the data in your cluster is recovered as part of the in-place version upgrading procedure. You can take a snapshot of your data, erase all your indexes from the domain, and then do an in-place version upgrade if you simply want to upgrade the domain. You may also establish a new domain using the newest version and then restore your data to that domain.
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Ques. 19): How does Amazon OpenSearch Service protect itself from problems that may arise during version upgrades?
Answer:
Before triggering the update, Amazon OpenSearch Service conducts a series of checks to look for known problems that might prevent the upgrade. If no problems are found, the service takes a snapshot of the domain and, if the snapshot is successful, begins the upgrading process. If there are any problems with any of the stages, the upgrade will not take place.
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Ques. 20): When logging is turned on or off, will the cluster experience any downtime?
Answer:
No. There will be no lulls in the action. We will install a new cluster in the background every time the log status is changed, and replace the old cluster with the new one. There will be no downtime as a result of this procedure. However, because a new cluster has been installed, the log status will not be updated immediately.
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