April 20, 2022

Top 20 AWS Cloud Security Interview Questions and Answers

  

In today's world, cloud security is one of the most important features of the cloud. Every day, more sophisticated attacks emerge, and qualified cloud security professionals are in short supply. As a result, for many people, a career in AWS cloud security could be a solid decision. If you want to pursue a job in AWS security, you'll need to prepare for AWS security interview questions.

You must be familiar with the many types of questions that can be asked in an AWS security interview. In terms of tasks and responsibilities, AWS security roles are quite diverse. The majority of AWS security interview questions, on the other hand, focus solely on the fundamentals of cloud security.

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Ques. 1): What does AWS mean by cloud security?

Answer:

With our broad services and capabilities, AWS assists you in meeting core security and compliance needs such as data location, protection, and confidentiality. You may use AWS to automate manual security processes so you can focus on growing and innovating your company.

Data protection is a crucial part of cloud security policy; the main concerns are data unavailability, data loss, and the disclosure of sensitive information. Individuals operating inside the organization's security policy should be taken into account as well.

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Ques. 2): What logging features does AWS Security have out of the box?

Answer:

AWS CloudTrail is a service provided by Amazon Web Services.

AWS CloudTrail:

This is a service that allows you to manage your AWS account's governance, compliance, operational auditing, and risk auditing. You can track, monitor, and retain account activity connected to actions throughout your AWS infrastructure with CloudTrail.

AWS Config:

AWS Config is a service that allows you to inspect, audit, and review your AWS resource setups. Config monitors and records your AWS resource configurations in real time, allowing you to compare recorded configurations to desired configurations automatically.

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Ques. 3): What are the advantages of using AWS Security?

Answer:

Keep Your Data Safe: The AWS infrastructure is built with strong guarantees to help protect your privacy. All data is stored in Amazon Web Services (AWS) data centres, which are exceptionally secure.

Comply with all legal requirements: In its infrastructure, AWS manages a number of compliance programmes. This means that some of your compliance requirements have been met.

Spend Less: Using AWS data centres will save you money. Maintain the greatest degree of protection without the headaches of owning and operating a property.

Scale Easily: The security of your AWS Cloud account grows in tandem with your usage. Regardless of the size of your company, the AWS infrastructure is designed to keep your data safe.

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Ques. 4): What is a DDoS assault, and how can it be mitigated?

Answer:

The term DDoS refers to a distributed denial of service attack. It is a type of cyber assault that targets key systems in order to interrupt network service or connectivity, causing users of the targeted resource to experience a denial of service.

The native tools that can help you deny the DDoS attacks on your AWS services are:

AWS Shield

AWS WAF

Amazon Route53

Amazon CloudFront

ELB

VPC

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Ques. 5): What are AWS Security Bulletins and what do they do?

Answer:

Customers receive security bulletins when one or more vulnerabilities are discovered. Customers are in charge of determining the effect of any actual or possible security risk in their environment.

It may be required to warn customers about security and privacy events with AWS services from time to time, regardless of how precisely constructed the services are. Security bulletins will be posted below. You may also stay up with security announcements by subscribing to our Security Bulletin RSS Feed.

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Ques. 6): Which of the following are best practices for security in AWS?

Answer:

·         Create a strong password for your AWS resources.

·         Use a group email alias with your AWS account.

·         Enable multi-factor authentication.

·         Set up AWS IAM users, groups, and roles for daily account access.

·         Delete your account's access keys.

·         Enable CloudTrail in all AWS regions.

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Ques. 7): What is the purpose of an IoT device defender?

Answer:

Amazon IoT Device Defender connects devices to AWS Services and other devices, as well as securing, processing, and acting on device data. It also allows apps to engage with devices even when they are offline, allowing you to create low-cost Alexa built-in devices.

It is a fully managed service that allows us to continuously monitor security data from devices and AWS IoT Core for deviations from expected behaviours for each device.

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Ques. 8): What platforms are available for large-scale cloud computing?

Answer:

Apache Hadoop and Map Reduce are the platforms for large-scale cloud computing.

Apache Hadoop — Apache Hadoop is a Java-based open source platform. With each file system, it establishes a pool of computers. The data elements are then grouped and hash techniques identical to those used in the previous step are used. After that, duplicates of the existing files are made.

Map Reduce is a piece of software developed by Google to help with distributed computing. It takes a vast amount of data and various cloud resources and distributes it across a number of additional computers called clusters. Both organised and unstructured data can be handled using Map Reduce.

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Ques. 9): What is Amazon Web Services (AWS) Identity and Access Management (IAM)?

Answer:

You can use AWS Identity and Access Management (IAM) to safeguard access to AWS services and resources. You may use IAM to create and manage AWS users and groups, as well as use permissions to grant or deny access to AWS services. IAM is a feature of your AWS account that comes at no extra cost.

Without needing to share long-term access keys, IAM roles allow you to assign access with defined rights to trustworthy organisations. IAM roles can be used to grant access to IAM users within your account, IAM users under a different AWS account, or an AWS service like EC2.

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Ques. 10): Explain What "eucalyptus" Means In Cloud Computing.

Answer:

"Eucalyptus" is an open source cloud computing software architecture that is used to construct cloud computing clusters. It is employed in the creation of public, hybrid, and private clouds. It can turn your own data centre into a private cloud and allows you to share its capabilities with a variety of other businesses.

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Ques. 11): What Are The Security Laws Which Are Implemented To Secure Data In A Cloud ?

Answer:

The security laws which are implemented to secure data in cloud are:

Processing: Control the data that is being processed correctly and completely in an application

File: It manages and control the data being manipulated in any of the file

Output reconciliation: It controls the data which has to be reconciled from input to output

Input Validation: Control the input data

Security and Backup: It provides security and backup it also controls the security breaches logs

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Ques. 12): AWS Directory Service is a service provided by Amazon Web Services.

Answer:

Customers who want to use current Microsoft AD or Lightweight Directory Access Protocol (LDAP)-aware apps in the cloud can use AWS Directory Service, which offers a variety of directory options. Developers that require a directory to handle users, groups, devices, and access have the same options. It makes it simple to connect Amazon EC2 instances to your domain and supports a wide range of AWS and third-party apps and services. It can also serve the majority of small and midsize enterprise use cases.

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Ques. 13): Mention how cloud architecture facilitates automation and transparency in performance.

Answer:

Cloud design employs a variety of techniques to enable performance transparency and automation. It enables for the management of cloud infrastructure as well as the monitoring of reports. They can also use the cloud architecture to share the application. Automation is a critical component of cloud architecture that aids in improving quality.

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Ques. 14): What is AWS CloudTrail, and how does it work?

Answer:

AWS CloudTrail is an AWS cloud monitoring solution that aids in the monitoring of AWS cloud deployments. CloudTrail accomplishes this by analysing the history of AWS API calls for the account in question.

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Ques. 15): What exactly is Amazon GuardDuty?

Answer:

Amazon GuardDuty is a threat detection service that protects AWS accounts and workloads by continuously monitoring harmful activity and unauthorised conduct.

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Ques. 16): What is Amazon CloudWatch, and how does it work?

Answer:

Amazon CloudWatch is a dependable cloud service that provides a monitoring solution that is guaranteed to be reliable, flexible, and scalable. Users can rapidly get up and running with CloudWatch since the setup, maintenance, and scalability of your monitoring systems and infrastructure is quick.

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Ques. 17): What is the purpose of CloudTrail?

Answer:

AWS CloudTrail is a service that lets you manage your AWS account's governance, compliance, operational auditing, and risk auditing. CloudTrail allows you to log, monitor, and manage account activity related to actions across your AWS infrastructure.

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Ques. 18): What is the difference between CloudWatch and CloudTrail?

Answer:

CloudWatch is an AWS resource and application monitoring service, whereas CloudTrail is a web service that logs API activity in your AWS account. In AWS, they're both useful monitoring tools. You can gather and track metrics, collect and monitor log files, and create alarms with CloudWatch.

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Ques. 19):  Define AWS Trusted Advisor in your own words.

Answer:

AWS Trusted Advisor is an excellent online service that acts as a personalised cloud expert. It can assist you in configuring resources in accordance with best practises. It also extensively examines the AWS environment for any security flaws.

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Ques. 20): What is the purpose of the buffer in Amazon web services?

Answer:

By synchronising multiple components, the buffer makes the system more robust in terms of managing traffic or load. Components usually receive and handle requests in an uneven manner. The components will be balanced and work at the same pace with the help of the buffer, resulting in speedier services.

 

 


April 19, 2022

Top 20 AWS Elastic Block Store (EBS) Interview Questions and Answers

  

            The Amazon Elastic Block Store (EBS) is a block storage solution for long-term data storage. Amazon EBS is a highly available block level storage volume that is suited for EC2 instances. General Purpose (SSD), Provisioned IOPS (SSD), and Magnetic are the three types of volume available. The performance, attributes, and pricing of these three volume categories vary. For usage with Amazon EC2 instances, Amazon Elastic Block Store (EBS) provides block level storage volumes. Amazon EBS volumes are off-instance storage that lasts indefinitely, regardless of how long an instance is running.


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Ques.1 ): What is Elastic Block Store, and how does it work?

Answer:

Amazon Elastic Block Store (EBS) is a high-performance, easy-to-use block storage service designed for use with Amazon Elastic Compute Cloud (EC2) for both throughput and transaction-intensive workloads at any scale. Amazon EBS is a storage service that provides block-level storage volumes for AWS EC2 instances. EBS volumes are off-instance storage that lasts indefinitely. It's a simple-to-use block storage service designed to integrate with AWS EC2 for high-throughput and transaction-intensive operations at any scale.


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Ques. 2): What are the advantages of using Amazon EBS?

Answer:

Storage that is both reliable and secure - Each EBS volume will automatically respond to its Availability Zone in order to protect against component failure. Secure - You may decide who has access to which EBS volumes using Amazon's flexible access control policies. Access control combined with encryption provides a robust data defense-in-depth security technique. Higher performance - Amazon EBS makes advantage of SSD technology to deliver data results with consistent application I/O performance. Simple data backup - Take point-in-time snapshots of Amazon EBS volumes to save data backup. Benefits of Amazon EBS are as follows:

Reliable and Secure Storage - It automatically respond to its availability zone protecting from component failure.

Secure - It allows us to specify access EBS volumes.

Higher Performance - Delivers data results with consistent performance.

Easy Data Backup - Takes taking point-in-time snapshots of Amazon EBS volumes.


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Ques. 3): What is EBS Block Express, and how does it work?

Answer:

EBS Block Express is the next version of Amazon EBS storage server architecture, designed to provide the highest levels of performance for block storage at cloud scale with sub-millisecond latency. Block Express accomplishes this by communicating with Nitro System-based EC2 instances via Scalable Reliable Datagrams (SRD), a high-performance, low-latency network protocol. This is the same high-performance, low-latency network interface used in Elastic Fabric Adapter (EFA) for High Performance Computing (HPC) and Machine Learning (ML) applications for inter-instance communication. Block Express also provides modular software and hardware building blocks that can be built in a variety of ways, allowing us to design and deliver greater performance and new features more quickly.


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Ques. 4): What are the various types of EBS volumes?

Answer:

There are five types of EBS volumes available as below:

General Purpose SSD (gp2): The SSD (Solid State Drive) is the volume that EC2 defaults to as the root volume of your instance. SSDs are many times faster than HDDs for modest input/output tasks (Hard Disk Drive). It has a good price-performance ratio (measured in IOPS - Input-Output Operations per second).

Provisioned IOPS SSD (io1): This is the most costly and time-consuming EBS volume. They're designed for applications that require a lot of I/O, such as huge Relational or NoSQL databases.

Throughput Optimized HDD (st1): These are low-cost magnetic storage volumes whose performance is measured in terms of throughput.

Cold HDD (sc1): These are even less expensive magnetic storage options than Throughput Optimized. They are intended for large, sequential cold workloads, such as those found on a file server.

Magnetic (standard): These are older generation magnetic drives that are best suited for workloads with infrequent data access.


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Ques. 5): When would I want to use FSR (Fast Snapshot Restore)?

Answer:

If you are concerned about data access latency when restoring data from a snapshot to a volume and wish to prevent the first performance hit during initialization, you should enable FSR on snapshots. Virtual desktop infrastructure (VDI), backup and restore, test/dev volume copies, and booting from custom AMIs are all examples of use cases for FSR. When you enable FSR on your snapshot, you'll get better and more predictable results anytime you need to restore data from it.


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Ques. 6): What are the different kinds of EBS Volumes?

Answer:

General Purpose EBS (SSD) This volume type is appropriate for small and medium workloads, such as root disc EC2 volumes, small and medium database workloads, and workloads that access logs regularly. By default, SSDs support 3 IOPS/GB, which means that a 1 GB volume will provide 3 IOPS and a 10 GB volume will provide 30 IOPS. One volume's storage size ranges from 1 GB to 1 TB. For one month, each volume costs $0.10 per GB.

IOPS provisioned (SSD) This volume type is best for transactional workloads that require a lot of I/O, as well as large relational, EMR, and Hadoop workloads. IOPS SSDs support 30 IOPS/GB by default, so a 10GB volume will provide 300 IOPS. One volume's storage size ranges from 10GB to 1TB. For supplied storage, one volume costs $0.125 per GB per month and $0.10 per provisioned IOPS per month.

Magnetic Volumes from EBS Previously, it was known as standard volumes. This volume type is suited for workloads that require infrequent data access, such as data backups for recovery, log storage, and so on. One volume's storage size ranges from 10GB to 1TB. For provisioned storage, one volume costs $0.05 per GB per month and $0.05 per million I/O requests. There are 3 types of EBS Volume:

·      The EBS General Purpose (SSD) volume is suitable for small and medium workloads, such as those on the Root Disc EC2.

·      Povisioned IOPS (SSD) volume is ideal for the most I/O heavy and big workloads, such as Hadoop.

·      EBS Magnetic Volumes, also known as standard volumes, are a type of magnetic volume. It is appropriate for tasks such as data backups and log storage.


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Ques. 7): How can I change an existing EBS volume's capacity, performance, or type?

Answer:

It's simple to change the volume configuration. Using a single CLI call, API call, or a few console clicks, you can expand capacity, optimise performance, or change your volume type with Elastic Volumes. See the Elastic Volumes documentation for more information on Elastic Volumes.


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Ques. 8): What is the Amazon Web Services (AWS) Key Management Service (KMS)?

Answer:

AWS KMS is a managed service that allows you to easily produce and maintain the encryption keys that are used to encrypt your data. AWS Key Management Service works with other AWS services like Amazon EBS, Amazon S3, and Amazon Redshift to make it simple to encrypt your data with encryption keys you control. AWS Key Management Service and AWS CloudTrail are connected to provide you with logs of all key usage to help you satisfy your regulatory and compliance requirements.


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Ques. 9): How can we change default root EBS size in cloudformation?

Answer:

Use BlockDeviceMappings to approach

 "BlockDeviceMappings": [

          {

            "DeviceName": "/dev/xvda",

            "Ebs": {

              "VolumeType": "io1",

              "Iops": "300",

              "DeleteOnTermination": "false",

              "VolumeSize": "30"

            }

          }

        ],

 

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Ques. 10): What happens if the 'deleteOnTermination' flag isn't set on all of my linked instances?

Answer:

The configuration of the last associated instance that is terminated determines the volume's deleteOnTermination behaviour. Enable or disable 'deleteOnTermination' for all instances to which the volume is associated to ensure predictable remove on termination behaviour.

Enable 'deleteOnTermination' for all instances to which the volume is attached if you want the volume to be erased when the attached instances are terminated. Disable 'deleteOnTermination' for all attached instances if you want to keep the volume after the attached instances have been terminated. See the Multi-Attach technical documentation for further information.


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Ques. 11): How to Set Up Amazon EBS?

Answer:

Use the following steps for setting up Amazon EBS:

STEP 1 - Create Amazon EBS volume.

STEP 2 - Store EBS Volume from a snapshot.

STEP 3 - Attach EBS Volume to an Instance.

STEP 4 - Detach a volume from Instance.


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Ques. 12): Is it necessary to unmount volumes before taking a snapshot?

Answer:

No, while the volume is mounted and in use, snapshots can be taken in real time. Snapshots, on the other hand, only capture data that has been written to your Amazon EBS volume, so any data that has been cached locally by your application or OS may be missed. We recommend removing the volume cleanly, issuing the snapshot command, and then reattaching the volume to ensure consistent snapshots on volumes associated to an instance. Shutting down the computer to take a clean snapshot of Amazon EBS volumes that function as root devices is recommended.


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Ques. 13): Does the read and write I/O size of my application effect the rate of IOPS I get from my Provisioned IOPS SSD (io2 and io1) volumes?

Answer:

It certainly does. The IOPS rate you obtain when you provision IOPS for io2 or io1 volumes is determined by the I/O size of your application reads and writes. The base I/O size for provisioned IOPS volumes is 16KB. So, if you provisioned a volume with 40,000 IOPS for an I/O size of 16KB, it will achieve that size and 40,000 IOPS. If you increase the I/O size to 32 KB, you can get up to 20,000 IOPS, and so on.


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Ques. 14): How do I transfer files from one EBS to another?

Answer:

We need to attach to an instance for copying files from one EBS to another EBS, and we can store the contents on a third storage option if the volumes aren't attached to instances.Follow the following steps for doing the same:

·      Start a temporary instance.

·         Use a larger size for higher IO bandwidth.

·         Attach both EBS volumes to the instance and mount them as, say, /vol1 and /vol2.

·         Copy the files from /vol1 to /vol2.

·         Unmount the volumes, detach the EBS volumes, terminate the temporary instance.


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Ques. 15): Does the size of the read and write I/O in my application effect the rate of throughput I obtain from my HDD-backed volumes?

Answer:

Yes. The throughput rate you get is determined on the read and write I/O sizes of your application. Reads and writes in 1MB I/O sizes are processed by HDD-backed volumes. Even though the actual I/O size is smaller, sequential I/Os are merged and processed as 1 MB units, whereas non-sequential I/Os are treated as 1MB units. While a transactional workload with small, random IOs, such as a database, will not perform well on HDD-backed volumes, sequential I/Os and huge I/O sizes will reach the claimed st1 and sc1 performance for a longer length of time.


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Ques. 16): What is the maximum storage capacity of an EBS device?

Answer:

At the moment, EBS supports a maximum volume size of 16 TiB. This suggests that you can construct an EBS volume with a capacity of up to 16 TiB, but whether the OS recognises all of that capacity is dependent on the OS's own design characteristics and the partitioning of the volume.


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Ques. 17): When an EBS volume fails, how do you make it available with no downtime and link it to an EC2 instance?

Answer:

You can use a load balancer and auto scaling to make an EBS volume available with no downtime. If the ec2 instance goes down due to autoscaling, a new instance will be launched, and you can use the shell script to add commands to map to the EBS. We can also take frequent backups and replace the EBS volume with the most recent backup or snapshot if the EBS fails.


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Ques. 18): When an Amazon EC2 instance is terminated, what happens to my data?

Answer:

Data stored on an Amazon EBS volume, unlike data stored on a local instance store (which persists just as long as the instance is alive), can persist regardless of the instance's life. As a result, we suggest that you only use the local instance storage for transient data. We recommend using Amazon EBS volumes or backing up data to Amazon S3 for data that requires a higher level of durability. If you're using an Amazon EBS volume as a root partition, make sure the Delete on termination flag is set to "No" if you want the Amazon EBS volume to survive the instance's life.


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Ques. 19): What can I expect from Amazon EBS volumes in terms of performance?

Answer:

Provisioned IOPS SSD (io2 Block Express, io2, and io1), General Purpose SSD (gp3 and gp2), Throughput Optimized HDD (st1), and Cold HDD are the seven volume types offered by Amazon EBS (sc1). These volume kinds differ in terms of performance and cost, allowing you to adjust your storage performance and cost to your applications' requirements. Between EC2 instances and EBS, the typical latency is in the single digit milliseconds. See the EBS product specifics page for more information about performance.

 

Ques. 20): What's the difference between io2 Block Express and io2?

Answer:

For all EC2 instances, io2 volumes provide high-performance block storage. Attaching io2 volumes to R5b instance types, which operate on Block Express and provide 4x the performance of io2, is recommended for applications that demand even more performance. With sub-millisecond average IO latency, you can achieve up to 64 TiB capacity, 256,000 IOPS, and 4,000 MB/s throughput from a single io2 volume.

 

 

 

Top 20 AWS Aurora Interview Questions and Answers

 

AWS Aurora is an Amazon cloud-based managed database service. This is one of the most extensively utilised data storage and processing services for low latency and transactional data. The AWS aurora service combines the benefits of open source databases such as MySQL and PostgreSQL with enterprise-level dependability and scalability. For efficient data availability, it uses a clustered technique with data replication in the AWS availability zone. It is much faster than native MySQL and PostgreSQL databases, and it requires little server maintenance. It has a large storage capacity and can expand up to 64 Terabytes of database size for enterprise use.


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Ques. 1): What is Amazon Aurora and how does it work?

Answer:

AWS Aurora is a cloud-based relational database that combines the performance and availability of typical enterprise databases with the ease of use and low cost of open source databases. It's five times faster than a typical MySQL database, and three times faster than a standard PostgreSQL database.

AWS Aurora helps provide commercial databases with security, availability, and dependability. It is fully managed by AWS Relational Database Service (RDS), which automates time-consuming administration activities including hardware provisioning, database setup, patching, and backups. It's a fault-tolerant, self-healing storage system that auto-scales up to 128TB per database instance and provides high performance and availability with up to 15 low-latency read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across three Availability Zones, among other features (AZs).


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Ques. 2): What are Amazon Aurora DB clusters, and what do they do?

Answer:

An Amazon Aurora DB cluster is made up of one or more database instances and a cluster volume that stores the data for those databases.

An Aurora cluster volume is a virtual database storage volume that spans multiple Availability Zones and contains a copy of the DB cluster data in each. There are two sorts of database instances in an Aurora DB cluster:

Primary DB instance: Supports read and write operations and handles all data modifications to the cluster volume. There is only one primary DB instance in each Aurora DB cluster.

Aurora Replica: It connects to the same storage disc as the primary DB instance and only enables read operations. Each Aurora DB cluster can contain up to 15 Aurora Replicas in addition to the original DB instance. Aurora automatically switches to an Aurora Replica if the primary DB instance becomes unavailable. The Aurora Replicas' failover priority can be set. Aurora Replicas can also transfer read workloads from the primary DB instance.


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Ques. 3): What are the benefits of using Aurora?

Answer:

The following are some of Aurora's benefits:

Enterprise-level security: Because Aurora is an Amazon service, you may be confident in its security and use the IAM capabilities.

Enterprise-level availability: It is ensured by multiple replications of database instances across several zones.

Enterprise-level scalability: With Aurora serverless, you can configure your database to scale up and down dynamically in response to application demand.

Enterprise-level performance: Open-source DB's simplicity and cost-effectiveness.

Aurora is interoperable with MySQL and PostgreSQL at the enterprise level. If your present application is built on MySQL or PostgreSQL, you can move it or utilise Amazon RDS to convert your database to Aurora Engine.

AWS Management Console: Amazon Management Console is easy to use with click and drag features to quickly set-up your Aurora Cluster.

Maintenance: Aurora has almost zero server maintenance. 5 times faster than MySQL and 3 times faster than PostgreSQL.


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Ques. 4): What are Aurora's advantages?

Answer:

The following are some of the advantages of AWS Aurora:

High Performance and Scalability – We can quickly scale up and down our database deployment from a smaller to a larger instance.

Fully Managed - Because Amazon Relational Database Service (RDS) manages Aurora, we don't have to bother about database management activities like hardware provisioning, software patching, setup, configuration, or backups.

Highly Secure - Aurora is very secure, with various levels of security for your database.

Support for Database Migrations to the Cloud - Aurora is utilised as an attractive target for database migrations to the cloud.

MySQL and PostgreSQL Compatible - Aurora is entirely compatible with existing MySQL and PostgreSQL open source databases, and support for new releases is added on a regular basis.

High Availability and Durability - Aurora's high availability and durability make it simple to recover from physical storage failures.


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Ques. 5): How Aurora Works?

Answer:

Primary DB and Aurora replica DB, as well as a cluster volume to handle the data for those DB instances, make up an Aurora DB cluster. Aurora cluster volume is a virtual database storage volume that spans multiple Availability Zones in order to better support global applications. The DB cluster data is duplicated in each zone.

All read and write operations are performed over cluster volume in the primary database. Each Aurora cluster will have one primary database instance.

It's just a copy of the primary database instance whose sole purpose is to provide data, i.e. solely read operations. To provide high availability in all Zones, a primary DB instance can have up to 15 replicas. In a fail-safe circumstance, Aurora will switch to a replica when a Primary DB is not accessible. Replicas aid in the reduction of read workload on the primary database. For replicas, you can set the priority of failover.

Aurora can have a multi-master cluster as well. All DB instances in a multi-master setup will be able to read and write data. In AWS language, these are known as reader and writer DB instances, and we can call this a multi-master replication.

You can also set up Amazon S3 to keep a backup of your database. Even in the worst-case scenario, where the entire cluster is down, your database remains safe.

You can utilise Aurora Serverless to automatically start scaling and shutting down the database to fit application demand for an unpredictable workload.


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Ques. 6): What are the advantages of using Amazon RDS with MySQL?

Answer:

Amazon RDS for MySQL has the following advantages:

Easy, managed deployments - : Simple, managed deployments are used to quickly launch and connect to a production-ready MySQL database.

High availability and read replicas - High availability and read replicas are utilised to ensure that our MySQL databases are available and durable.

Fast, dependable storage - utilised to provide two SSD-backed MySQL database storage alternatives.

Monitoring and metrics - Amazon RDS Enhanced Monitoring gives you access to more than 50 CPU, RAM, file system, and disc I/O metrics.

Backup and recovery - utilised to ensure that our MySQL database instance can be recovered.

Isolation and security – used to ensure that our MySQL databases are kept secure.


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Ques. 7): What is the relationship between Aurora and Amazon RDS Engines?

Answer:

The following points will demonstrate how Amazon RDS' standard engines, such as MySQL and PostgreSQL, interact with Aurora:

When creating new database servers with Amazon RDS, you can select Aurora as a database engine.

If you're acquainted with Amazon RDS, Aurora should be simple to set up. You can utilise the Amazon RDS administration console to set up Aurora clusters, as well as the CLI commands and API to perform database maintenance activities like backup, recovery, and repair.

Aurora's automatic clustering, replication, and other administration operations are controlled over the entire cluster of database servers, not just one instance, allowing you to manage big MySQL and PostgreSQL servers efficiently and at a cheap cost.

Data from Amazon RDS for MySQL and PostgreSQL can be replicated or imported into Aurora using snapshots. Another feature is push-button migration, which may be used to migrate your Amazon RDS MySQL and PostgreSQL databases to Aurora.


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Ques. 8): What are Endpoints and How Do I Use Them?

Answer:

When a user connects to an Aurora cluster, an endpoint is a combination of host name and port.

Endpoints are divided into four categories:

Cluster Endpoint: Cluster Endpoint is used to connect to the current primary database instance and to assist with write operations.

Custom endpoint: A custom endpoint is used to represent a set of DB instances selected by the user.

Reader Endpoint: Reader Endpoint is a read-only endpoint used to connect Aurora replicas.

Instance Endpoint: Instance Endpoint is used to connect to a specific database instance and to diagnose problems with capacity or performance in that instance.


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Ques. 9): How can we associate a IAM Role with an Aurora Cluster using CloudFormation?

Answer:

PostRunCommand:

  Description: You must run this awscli command after the stack is created and may also need to reboot the cluster/instance.

  Value: !Join [" ", [

    "aws rds add-role-to-db-cluster --db-cluster-identifier",

    !Ref AuroraSandboxCluster,

    "--role-arn",

    !GetAtt AuroraS3Role.Arn,

    "--profile",

    !FindInMap [ AccountNameMap, !Ref AccountNamespace, profile ]

  ]]


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Ques. 10): What are AWS Aurora's limitations?

Answer:

If you need additional features or have an older version of MySQL, you won't be able to use it because it only supports MySQL-5.6.10. Amazon will add new MySQL functionality to Aurora in the future, but you'll have to wait.

Because Aurora currently only supports InnoDB, you won't be able to use MyISAM tables.

With Aurora, you don't have the choice of using smaller RDS than r3.large.


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Ques. 11): Is it possible for my application to fail over to the cross-region replica from my current primary?

Answer:

Yes, you can use the Amazon RDS console to promote your cross-region replica to the new primary. The promotion process for logical (binlog) replication takes a few minutes, depending on your workload. When you start the promotion process, the cross-region replication will halt.

You may promote a secondary region to take full read/write workloads in under a minute with Amazon Aurora Global Database.


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Ques. 12): What is Amazon RDS for MySQL and how does it work?

Answer:

AWS RDS for MySQL manages time-consuming database management activities including backups, software patching, monitoring, scaling, and replication, allowing you to focus on application development.

It is compatible with Amazon RDS Community Edition versions.


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Ques. 13): What does it mean to be "MySQL compatible"?

Answer:

Amazon Aurora is plug-and-play compatible with existing MySQL open-source databases, and new releases are added on a regular basis. This implies that using conventional import/export tools or snapshots, you can quickly move MySQL databases to and from Aurora. It also means that the majority of the code, apps, drivers, and utilities you already use with MySQL databases can be utilised with Aurora with little or no modification. When comparing Aurora with MySQL, keep in mind that the Amazon Aurora database engine is designed to be wire-compatible with MySQL 5.6 and 5.7, which uses the InnoDB storage engine. This makes switching applications between the two engines a breeze. Amazon Aurora does not support certain MySQL capabilities, such as the MyISAM storage engine.


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Ques. 14): How can I switch from MySQL to Amazon Aurora and back?

Answer:

There are various options available to you. To export data from MySQL and to import data into Amazon Aurora, use the normal mysqldump and mysqlimport utilities, respectively. You can also utilise the AWS Management Console to move an Amazon RDS for MySQL DB Snapshot to Amazon Aurora utilising Amazon RDS's DB Snapshot migration feature. Most customers have their migration completed in under an hour, while the time varies on the type and amount of the data set.


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Ques. 15): What does it mean to have "five times the performance of MySQL"?

Answer:

By tightly integrating the database engine with an SSD-based virtualized storage layer purpose-built for database workloads, Amazon Aurora improves MySQL performance by lowering writes to the storage system, avoiding lock contention, and eliminating delays caused by database process threads. Amazon Aurora offers over 500,000 SELECTs/sec and 100,000 UPDATEs/sec, five times faster than MySQL running the same benchmark on the same hardware, according to our tests with SysBench on r3.8xlarge instances.


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Ques. 16): What are the best practises for optimising my database workload for Amazon Aurora PostgreSQL-Compatible Edition?

Answer:

Amazon Aurora is designed to be PostgreSQL compatible, allowing existing PostgreSQL applications and tools to run without needing to be modified. However, Amazon Aurora outperforms PostgreSQL in the domain of highly concurrent workloads. We recommend building your applications to support a large number of concurrent queries and transactions in order to maximise your workload's throughput on Amazon Aurora.


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Ques. 17): What are the options for scaling the compute resources associated with my Amazon Aurora DB Instance?

Answer:

By selecting the desired DB Instance and clicking the Modify button in the AWS Management Console, you can scale the compute resources allocated to your DB Instance. Changing the DB Instance class modifies memory and CPU resources.

When you make modifications to your DB Instance class, they will be applied during the maintenance window you specify. You can also utilise the "Apply Immediately" flag to have your scaling requests applied right away. Both of these approaches will have a short-term impact on availability while the scaling operation is carried out. Remember that any other pending system modifications will be applied as well.


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Ques. 18): What is my plan of action if my database fails?

Answer:

Amazon Aurora keeps six copies of your data across three Availability Zones (AZs) and will attempt to recover your database in a healthy AZ without losing any data. You can restore from a DB Snapshot or perform a point-in-time restore procedure to a fresh instance if your data is unavailable within Amazon Aurora storage. For a point-in-time restoration procedure, the latest restoreable time can be up to five minutes in the past.


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Ques. 19): Is it possible for me to share my photos with another AWS account?

Answer:

Yes. Aurora allows you to take snapshots of your databases, which you may then use to restore them later. You can share a snapshot with another AWS account, and the receiving account's owner can use it to restore a database containing your data. You may even make your snapshots public, allowing anyone to restore a database containing your (public) data. You can use this capability to exchange data between different AWS accounts for different settings (production, dev/test, staging, etc.), as well as keep backups of all your data in a separate account in case your main AWS account is ever compromised.

 

Ques. 20): How does Amazon Aurora improve the fault tolerance of my database in the event of a disc failure?

Answer:

Amazon Aurora divides your database volume into 10 GB parts and distributes them over many discs. Your database volume is replicated six times, over three AZs, for each 10 GB piece. Amazon Aurora is built to handle the loss of up to two copies of data without affecting database write availability and up to three copies without affecting database read availability in a transparent manner. Amazon Aurora is also self-healing storage. Data blocks and drives are inspected for faults and corrected automatically on a regular basis.