Top 30 AWS Database Interview Questions and Answers
Cloud is mainly used to drive down the cost of compute and storage, but a newgeneration of applications brings a new set of requirements for the databases.To support these requirements and fulfill the needs of your applications, boththe non-relational and relational databases are required.Amazon Web Services (AWS) offers a broad set of databases built for yourspecific applications. Amazon RDS and Amazon RedShift are the relationaldatabases whereas Amazon DynamoDB and Amazon ElastiCache are the non-relational databases in AWS. In this blog, we’ll cover the most common AWSdatabase interview questions and answers that are frequently asked in an AWSinterview. However, if you’re looking for more questions for different AWS jobrole, check out our previous article that covers the top 50 AWS interviewquestions.To make it easy for you to prepare with these questions, we’ve categorizedthem in different sections such as AWS database interview questions forfreshers, AWS database interview questions for experienced, AWS DynamoDBinterview questions, AWS RDS interview questions, AWS RedShift interviewquestions, and AWS ElastiCache interview questions.Whether you are an AWS Architect, Developer or System Admin, you may comeacross AWS database interview questions in the interview. Let’s get ahead toprepare with the latest AWS database interview questions and answers.
Top 30 AWS Database Interview Questions
In an AWS interview, you may come across basic as well as advanced AWSdatabase interview questions. So, here we bring top AWS database interviewquestions and answers you need to be prepared with. These are the most commonquestions that are asked in an AWS database interview. So, whatever be thecompany you are going for the interview, these best AWS database interviewquestions will help you develop your knowledge and get selected in theinterview.
AWS Database Interview Questions for Freshers
It doesn’t matter you are a fresher or have some considerable experience, youmay come across some basic and most common AWS database interview questions inthe interview. So, let’s go through these best AWS database interviewquestions and prepare yourself for the Amazon database interview.
1. What do you know about the Amazon Database?
Answer: Amazon database is one of the Amazon Web Services that offers manageddatabase along with managed service and NoSQL. It is also a fully managedpetabyte-scale data warehouse service and in-memory caching as a service.There are four AWS database services, the user can choose to use one ormultiple that meet the requirements. Amazon database services are – DynamoDB,RDS, RedShift, and ElastiCache.
AWS Database Interview Questions: ElastiCache
Caching is a technique to store the information in a temporary location whichis frequently used. Amazon ElastiCache is an in-memory service provided byAmazon. It also plays an important role in the interviewers as it is also afavorite topic for the interviewers. So we will have a look at some of the topAWS ElastiCache interview questions for your interview preparation.
AWS Database Interview Questions for Experienced
If you are an experience AWS database professional and preparing for the nextjob interview, you need to be prepared well. The interviewer will ask you moredifficult and scenario-based questions to check your knowledge and experienceas well. So, here we bring some of the top AWS database interview questionsfor experienced that are frequently asked in Amazon AWS interview.
How Amazon got to this point
Amazon Web Services, as was evident from the division’s original name, enablesWeb sites to be hosted remotely. Since its inception, though, AWS has growninto the world’s principal provider of virtual infrastructure — the operatingsystems, hypervisors, service orchestrators, monitoring functions, and supportsystems upon which the economy of the public cloud is based.Jeff Bezos explained his company’s basic philosophy in clear and indisputableterms, in a 2010 letter to company shareholders:> …While many of our systems are based on the latest in computer science> research, this often hasn’t been sufficient: Our architects and engineers> have had to advance research in directions that no academic had yet taken.> Many of the problems we face have no textbook solutions, and so we — happily> — invent new approaches. Our technologies are almost exclusively implemented> as services: bits of logic that encapsulate the data they operate on and> provide hardened interfaces as the only way to access their functionality.> This approach reduces side effects and allows services to evolve at their> own pace without impacting the other components of the overall system.Bezos likes to adorn his biographical presentations with veritable fountainsof fabulous phrases, along with boasts that may warrant a bit of suspicion.For example, in this letter, he gave AWS credit for essentially inventingservice-oriented architecture (SOA) — he was, at best, a teenager when SOA wasfirst being put to practical use. So let’s try to explain what this AWS thingdoes, in terms even a CEO could understand.
AWS database services
Here’s where Amazon adds a third turnstile to the data model: by offeringdatabase engines capable of utilizing the data stored in S3 buckets. An AWSdatabase engine is a specialized instance type: a VM image in which thedatabase management system is already installed.
Amazon Elastic Container Service for Kubernetes
As Microsoft so often demonstrated during its reign as the king of theoperating system, if you own the underlying platform, you can give away partsof the territory that floats on top of it, secure in the knowledge that youown the kingdom to which those islands belong.In founding the market for virtualization, VMware set about to relocate theseat of power in the data center kingdom to the hypervisor. And in drawingmost of the map for the public cloud market, Amazon tried to relocate it tothe EC2 instance. Both efforts have yielded success. But Kubernetes, as anopen source orchestrator of container-based applications, sought to plant abomb beneath that seat of power, by effectively democratizing the way newclasses of applications were created and deployed. It was Google’s idea,though with just the right dosage of benevolence, Docker would step aside,bowing graciously, and even Microsoft would contribute to the plan.AWS’ managed Kubernetes service, called EKS and launched in July 2018,represents Amazon’s concession to the tides of history, at least for thisround. The previous July, Amazon joined the Cloud Native Computing Foundation— the arm of the Linux Foundation that oversees development of the Kubernetesorchestrator.This way, EKS can provide management services over the infrastructuresupporting a customer’s Kubernetes deployment, comparable to what Google Cloudand Azure offer. The provisioning of clusters can happen automatically. Thatlast sentence doesn’t have much meaning unless you’ve read tens of thousandsof pages of Kubernetes documentation, the most important sentence from whichis this: You can pick a containerized application, tell EKS to run it, thenEKS will configure the resources that application requires, you sign off onthem, and it runs the app.So if you have, say, an open source content management system compiled to runin containers, you just point EKS to the repository where those containers arelocated and say “Go.” If all the world’s applications could be automated inexactly this way, we would be living in a very different world.LEARN MORE:What is AWS? – An Introduction to Amazon Web Services
What are the services provided by AWS?
Each type of service in this “What is AWS” blog, is categorized under adomain, the few domains which are widely used are: * Compute * Storage * Database * Migration * Network and Content Delivery * Management Tools * Security & Identity Compliance * Messaging
The Database domain is used for database related workloads, it includes thefollowing services: * Amazon Aurora * Amazon RDS * Amazon DynamoDB * Amazon RedShift
What Is Database as a Service?
Database as a Service (DBaaS) is a software service that you can use to setup, operate, and scale databases without having to understand or manage theunderlying structure. These services abstract away the specifics of a databaseto enable you to use it uniformly via standardized API calls or a userinterface (UI). With DBaaS, the host platform is responsible for ensuringdatabase functionality, maintenance, updates, and infrastructure.Database as a Service is a common method for accessing and using databases inthe cloud. The alternative is to host a database on an instance or virtualmachine, mirroring how databases are hosted on-premises.
AWS Database Types
Within AWS, there are many database services you can choose from. All of theseservices are either fully or partially managed and can be connected to manyother AWS services or external resources.The types of databases Amazon offers, and the main database services for eachtype, include: * Relational database—includes AWS Aurora, Amazon RDS, and Amazon Redshift. These databases are used to support traditional applications, eCommerce, ERP applications, and CRMs. * Key-value database—includes DynamoDB. These databases are used for high-traffic web apps, eCommerce, and gaming applications. * In-memory database—includes Amazon ElastiCache for Memcached and Redis. These databases are used for caching, session management, gaming leaderboards, and geospatial applications. * Document database—includes Amazon DocumentDB (with MongoDB compatibility). These databases are used for content management, catalogs, and user profiles. * Wide column database—includes Amazon Keyspaces (for Apache Cassandra). These databases are used for high scale industrial apps for equipment maintenance, fleet management, and route optimization. * Graph database—includes Amazon Neptune. These databases are used for fraud detection, social networking, and recommendation engines. * Time series database—includes Amazon Timestream. These databases are used for IoT applications, DevOps logging, and industrial telemetry. * Ledger database—includes Amazon QLDB. These databases are used for systems of record, supply chain, registrations, and banking transactions.
What Is Unique About Amazon Database as a Service Offerings?
According to Forrester, Amazon offers the largest variety of DBaaS offeringsof all major cloud providers. This includes support for deployments of mostcomplexities and for a growing number of database engines. AWS also offersrobust support for both homogeneous and heterogeneous database migrations,flexible resource provisioning, built-in security, and options for high-availability and replication.
The Purpose-Built Database Model
A key focus of the AWS DBaaS offering is that there is a purpose-built optionfor all major use cases. These options reflect the needs of productionworkloads and enable you to get started quickly, without extensivecustomizations.Additionally, because many AWS services can be interconnected, you have theflexibility to choose multiple database services to meet individual workloadneeds. This enables you to select the best fit database for your servicesrather than trying to force all services to fit one data model.
AWS Database as a Service Case Studies
Below are a few customer use cases that can give you an idea of how AWS DBaaSis used for real world deployments.Airbnb Airbnb is one company that is taking advantage of Amazon Relational DatabaseService (RDS) with the RDS MySQL engine. After a year of operations, thecompany decided to move to the cloud and was able to complete their migrationwith a mere 15 minutes of downtime. RDS enabled them to reduce time spent onadministrative tasks, like scaling and data replication, by allowingmanagement tasks to be completed through the AWS Management Console or via APIcalls.Eventually, Airbnb decided to further downgrade their responsibilities bymoving from AWS RDS to AWS’ proprietary database, Aurora. This improved theirscalability, read/write performance, and lag time. It also enabled them tominimize replica creation and improve failover and recovery times.Duolingo Duolingo is another organization that is operating with the help of severalAWS database services. They are using solutions based primarily on AmazonDynamoDB to support personalized language learning content for up to sixbillion lessons per month. This means at least 24k reads and 3k writes eachmonth. With DynamoDB, Duolinguo can scale and provide high-concurrency accessas needed while optimizing costs.Duolingo is also using Amazon ElastiCache, AWS Aurora, and Amazon Redshiftservices. ElastiCache enables them to provide instant access to content,Aurora serves as a transactional database for user data, and Redshift suppliesdata analytics.Shine Technologies Shine Technologies is an organization that developed custom billingapplications for utility companies. Originally, these applications requiredOracle databases that were hosted on-premises. However, the cost of thisoperation for enterprise-scale customers was more than Shine wanted to manage.Shine used RDS to run a 10-year-old legacy version of Oracle. They configuredMulti-Availability Zone (Multi-AZ) deployments for high availability, and usedautomated snapshots for faster replication and backup. For each databaseinstance, they are using RDS Provisioned IOPS to ensure that resources meetthe thousands of I/O operations per second (IOPS) that their customersrequire.”