AWS SysOps Administrator Associate Interview Questions

Interview preparation is just as crucial as exam preparation. As a result, preparing for an interview necessitates far more practise and confidence than studying for any other exam. You must make the finest first impression possible. So, in order to aid our applicants in their interview preparation, we have done our best to provide you with the greatest and most expert-revised interview questions. Candidates should do their homework about the firm, job positions, and responsibilities, and most importantly, appear confident when responding to questions. Furthermore, we have covered all levels of questions from basic to intermediate to advanced. As a result, we strongly advise applicants to prepare with the finest and accomplish the best. But first, you should be familiar with the basics of what the AWS Certified SysOps Administrator Associate (SOA-C02) exam is all about.

Advanced Interview Questions

How do you ensure high availability and scalability in an AWS environment?

To ensure high availability and scalability in an AWS environment, you can use various services such as Amazon Elastic Load Balancing (ELB), Amazon Auto Scaling, and Amazon CloudFront. These services help distribute traffic across multiple availability zones (AZs) and automatically scale the number of resources based on demand.

You can also use Amazon Route 53 to route traffic to multiple availability zones and implement multi-region architectures. This helps ensure that your application is available even if one or more regions become unavailable.

Additionally, you can use Amazon RDS Multi-AZ and Amazon DynamoDB Global Tables for data replication. This helps ensure that your data is available even if one or more availability zones become unavailable.

Another important aspect of high availability and scalability is redundancy. You can use Amazon Elastic File System (EFS) for storage, and Amazon Elastic Block Store (EBS) for storage. This makes sure that your data is accessible even if one or more nodes fail.

You can also use Amazon CloudFormation, an AWS service that helps you model and set up your AWS resources so you can spend less time managing those resources and more time focusing on your applications that run in AWS.

Finally, you can use Amazon CloudWatch to monitor and troubleshoot your AWS resources, and AWS Elastic Beanstalk to deploy and manage your applications in the AWS Cloud.

Can you explain how you would set up and configure an Amazon Virtual Private Cloud (VPC)?

Setting up and configuring an Amazon Virtual Private Cloud (VPC) involves several steps:

1. Create a VPC: Log in to the AWS Management Console, navigate to the VPC dashboard, and select “Create VPC.” Give your VPC a name and select an IP range for your VPC, this is called CIDR block.
2. Create subnets: Within your VPC, create subnets in different availability zones. This allows you to distribute your resources across multiple availability zones for high availability.
3. Configure the VPC’s IP addressing: In your VPC, you can configure DHCP options, such as the domain name, DNS servers, and NTP servers.
4. Create a security group: Security groups are used to control inbound and outbound traffic to your VPC. You can create a security group and add rules that allow or deny traffic based on IP address, port, and protocol.
5. Create a Network ACL: Network ACLs are used to control traffic to and from your VPC’s subnets. You can create a network ACL and add rules that allow or deny traffic based on IP address, port, and protocol.
6. Create a route table: A route table is used to control the routing of traffic within your VPC. You can create a route table and add routes that specify where traffic should be directed.
7. Configure a virtual private gateway: A virtual private gateway is used to connect your VPC to other networks, such as your on-premises network. You can create a virtual private gateway and configure a VPN connection to connect your VPC to your on-premises network.
8. Test your VPC: Once your VPC is set up and configured, you can test it by launching an EC2 instance in your VPC and connecting to it via SSH.

It’s important to note that you should use IAM policies to control access to your VPC resources, and also use AWS Config to track changes to your VPC resources.Regenerate response

How do you manage and monitor AWS resources using Amazon CloudWatch?

Amazon CloudWatch is a monitoring service for AWS resources and the applications you run on AWS. To manage and monitor AWS resources using CloudWatch, you can:

1. Set up CloudWatch alarm: Create alarms that watch metric data and send notifications or automatically make changes to the resources you are monitoring when a threshold is breached.
2. Collect and track metrics: Use CloudWatch to collect and track metrics from various AWS resources.
3. View and analyze logs: Use CloudWatch Logs to monitor, store, and access your logs.
4. Create Dashboards: Create CloudWatch dashboards to view multiple metrics and alarms together in one place.
5. CloudWatch Agent: Install the CloudWatch Agent on your instances to collect additional system-level metrics, such as disk usage, network traffic, and memory usage.
6. Metric Math: Use mathematical expressions to create new metrics by mathematically transforming existing metrics.
7. Anomaly detection: CloudWatch Anomaly Detection automatically detects abnormal behavior in your metrics and notifies you via alarms.
8. Metrics from AWS services: CloudWatch supports metrics from many AWS services out of the box, so you don’t have to instrument your application or service.

Can you explain how you would set up and configure Amazon Elastic Block Store (EBS) and Amazon Elastic File System (EFS)?

Amazon Elastic Block Store (EBS) is a block storage service for Amazon Elastic Compute Cloud (EC2) instances. EBS allows you to create storage volumes and attach them to EC2 instances. You can also take snapshots of your volumes and create new volumes from them. Here is an overview of how to set up and configure EBS:

1. Create an EBS volume: Use the AWS Management Console, the AWS Command Line Interface (CLI), or an SDK to create an EBS volume.
2. Attach the volume to an instance: Use the AWS Management Console, the AWS CLI, or an SDK to attach the volume to an EC2 instance.
3. Format and mount the volume: Format the volume and mount it on the instance.
4. Configure the volume: Configure the volume as needed, such as creating a file system, configuring RAID, and so on.
5. Create a snapshot: Create a snapshot of the volume to use as a backup or to create a new volume.

Amazon Elastic File System (EFS) is a fully managed service that makes it easy to set up, scale and use file storage in the AWS Cloud. Here is an overview of how to set up and configure EFS:

1. Create a File System: Use the AWS Management Console, the AWS CLI, or an SDK to create a file system.
2. Mount the File System: Use the AWS Management Console, the AWS CLI, or an SDK to mount the file system on one or more Amazon EC2 instances.
3. Configure the File System: Configure the File System as needed, such as setting up access control, configuring performance and so on.
4. Access the File System: Use the standard file system interfaces and protocols to access the file system.
5. Scale the File System: Scale the file system as needed, both in terms of storage and performance.
6. Monitor the File System: Use CloudWatch to monitor the file system.

How do you manage and troubleshoot AWS Elastic Beanstalk applications?

To manage and troubleshoot AWS Elastic Beanstalk applications, the following steps can be taken:

1. Monitor the health of your Elastic Beanstalk environment using the Elastic Beanstalk management console, the AWS Management Console, or the Elastic Beanstalk command line interface (CLI).
2. Use CloudWatch to monitor the performance of your Elastic Beanstalk environment and to set up alarms to notify you of potential issues.
3. Use Elastic Beanstalk’s event stream feature to view environment events, such as deployments and failures, in real-time.
4. Use Elastic Beanstalk’s log streaming feature to view and troubleshoot application logs in real-time.
5. Use Elastic Beanstalk’s platform health feature to view the health of the underlying EC2 instances and to identify and resolve any issues.
6. Use Elastic Beanstalk’s platform update feature to apply security updates and other patches to the underlying instances.
7. Use Elastic Beanstalk’s platform version feature to roll back to a previous version of your application if necessary.
8. Use Elastic Beanstalk’s environment management feature to configure, manage and scale your environment as per your requirements.
9. Use Elastic Beanstalk’s troubleshooting feature to identify the root cause of issues and to suggest solutions.
10. Use Elastic Beanstalk’s platform events feature to automate actions based on environment events.

Can you explain how you would set up and configure Amazon Relational Database Service (RDS)?

To set up and configure Amazon Relational Database Service (RDS), the following steps can be followed:

1. Log in to the AWS Management Console and navigate to the RDS dashboard.
2. Click on the “Launch DB Instance” button to start the process of creating a new RDS instance.
3. Select the database engine that you want to use (e.g. MySQL, PostgreSQL, etc.).
4. Choose the instance size and storage capacity that you need.
5. Configure the network and security settings for the RDS instance. This includes selecting a VPC, creating a new security group, and specifying the network access rules.
6. Set up the database options, such as the initial database name and credentials.
7. Enable automatic backups and choose the backup retention period.
8. Review the settings and launch the instance.
9. Once the instance is launched, you can connect to it using a management tool such as MySQL Workbench and start creating tables, loading data, and running queries.
10. To monitor the RDS instance, you can use Amazon CloudWatch to set up alarms and metrics for key performance indicators such as CPU utilization, storage space, and database connections.

How do you manage and troubleshoot AWS Elastic Load Balancing?

To manage and troubleshoot AWS Elastic Load Balancing, the following steps can be taken:

1. Monitor the performance of the load balancer using Amazon CloudWatch metrics such as request count, response latency, and healthy and unhealthy host counts.
2. Use CloudWatch Alarms to set thresholds for key metrics and receive notifications when those thresholds are breached.
3. Use Amazon Elastic Load Balancing Access Logs to track request and response details for the load balancer.
4. Use Amazon ELB Health Checks to monitor the health of the instances behind the load balancer, and automatically route traffic to healthy instances.
5. Use the AWS Management Console, AWS CLI or SDKs to update the load balancer configuration, such as adding or removing instances, changing the balance algorithm or modifying security groups.
6. Use the AWS Trusted Advisor to check for common Elastic Load Balancer best practices such as having at least two availability zones for high availability.
7. Use the AWS Elastic Load Balancer (ELB) troubleshooting guide to help diagnose and fix common issues with your load balancer.
8. Use the AWS Support Center to open a case with AWS if you need additional help troubleshooting your load balancer.

Can you explain how you would set up and configure Amazon Simple Queue Service (SQS) and Amazon Simple Notification Service (SNS)?

To set up and configure Amazon Simple Queue Service (SQS), I would first create an SQS queue in the AWS Management Console. This can be done by navigating to the SQS service in the AWS Management Console, clicking on the “Create new queue” button, and then specifying the desired queue name and settings. Once the queue is created, I would then set up appropriate permissions for the queue using Amazon Identity and Access Management (IAM) policies to ensure that only authorized users and applications can access the queue.

To set up and configure Amazon Simple Notification Service (SNS), I would first create an SNS topic in the AWS Management Console. This can be done by navigating to the SNS service in the AWS Management Console, clicking on the “Create topic” button, and then specifying the desired topic name and settings. Once the topic is created, I would then set up appropriate permissions for the topic using Amazon Identity and Access Management (IAM) policies to ensure that only authorized users and applications can access the topic. I would also set up a subscription for the topic, which defines where the topic’s messages will be sent. This can be done by providing an email address, an SQS queue, an HTTPS endpoint, or a Lambda function as the subscription’s endpoint.

How do you manage and troubleshoot AWS Auto Scaling?

To manage and troubleshoot AWS Auto Scaling, there are a few steps that can be taken:

1. Monitor the performance of the instances in the Auto Scaling group using CloudWatch metrics. This will allow you to identify any issues with CPU, memory, or network usage that may be impacting the performance of the instances.
2. Check the status of the Auto Scaling group and the instances within it. Make sure that the group is in a healthy state and that all instances are running properly.
3. Review the Auto Scaling group’s scaling policies and make sure they are configured correctly. Check that the desired capacity, minimum capacity, and maximum capacity are set correctly, and that the scaling policies are triggering at the appropriate times.
4. Check the Auto Scaling group’s event history to see if there are any events that may be impacting the group’s performance. For example, if instances are being terminated or launched too frequently, this could be causing issues.
5. If you are experiencing issues with a specific instance, you can terminate it and launch a new one to see if that resolves the issue.
6. Review the CloudTrail logs for any error messages or issues related to the Auto Scaling group.
7. Use the AWS Trusted Advisor to check the health of your Auto Scaling group and receive recommendations to improve its performance.

In addition to monitoring and troubleshooting, it is important to regularly review and test your Auto Scaling configuration to ensure it is still appropriate for your workload and to make any necessary adjustments. Also, establish a process for testing your auto scaling group, testing the launch and termination of instances, and testing the scaling policies.

How do you implement security and compliance in an AWS environment?

Implementing security and compliance in an AWS environment can involve several different steps, including:

1. Using IAM (Identity and Access Management) to control access to AWS resources and services. This can include creating users, groups, and roles with specific permissions, and using multi-factor authentication for added security.
2. Using security groups and network ACLs to control inbound and outbound traffic to your instances.
3. Using encryption for data at rest and in transit to protect sensitive information. This can include using AWS Key Management Service (KMS) to manage encryption keys, and using services like Amazon Elastic Block Store (EBS) and Amazon S3 with server-side encryption.
4. Using AWS Config to track and audit changes to your resources and compliance with security standards.
5. Using AWS Service Catalog to centrally manage commonly used IT services.
6. Using AWS Security Hub to aggregate security findings from across AWS accounts, and third-party security solutions to monitor for vulnerabilities and compliance issues.
7. Implementing security logging and monitoring, such as using CloudTrail to record AWS Management Console sign-in events and AWS API calls, and CloudWatch to monitor logs and metrics for security-related events.
8. Continuously assess and update your security controls to align with industry standards like PCI-DSS, SOC2, and ISO 27001.

It’s important to note that security and compliance are ongoing processes, and it’s necessary to continuously review and update your security controls to ensure they align with industry standards and best practices.

Can you explain how you would set up and configure Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS)?

To set up and configure Amazon Elastic Container Service (ECS), one could follow these steps:

1. Create an ECS cluster: This is a logical grouping of tasks or services.
2. Register container instances with the cluster: This can be done by creating an EC2 instance and installing the ECS agent on it, or by using an EC2 Auto Scaling group.
3. Create a task definition: This is a blueprint that describes how a container should be launched, including the container image to use, CPU and memory requirements, and any environment variables or volumes to be used.
4. Create a service: This is a long-running task that runs on the cluster, using the task definition.
5. Configure service discovery: If desired, use Amazon Route 53 or another service to discover and connect to the service.

To set up and configure Amazon Elastic Kubernetes Service (EKS), one could follow these steps:

1. Create an EKS cluster: This can be done using the AWS Management Console, AWS CLI, or SDKs.
2. Create worker nodes: These are the EC2 instances that run your Kubernetes pods.
3. Configure kubeconfig: This is a configuration file that is used by the kubectl command-line tool to connect to your cluster.
4. Deploy Kubernetes applications: Use Kubernetes manifests to deploy and manage your applications.
5. Monitor and troubleshoot: Use Amazon CloudWatch, AWS CloudTrail, and other tools to monitor the health and performance of your cluster and applications, and troubleshoot issues as needed.

How do you manage and troubleshoot AWS Lambda functions?

To manage and troubleshoot AWS Lambda functions, I would use the following steps:

1. Monitor the function’s performance and error logs using CloudWatch. This will help me identify any issues with the function’s execution and troubleshoot them.
2. Use the AWS Lambda console or the AWS CLI to test the function. This will help me identify any issues with the function’s configuration or code.
3. Use the X-Ray service to analyze the function’s performance and identify any issues with the function’s dependencies or other resources it uses.
4. If necessary, use the AWS Lambda versioning and aliases feature to roll back to a previous version of the function. This can help me quickly revert to a stable version of the function if a new version causes issues.
5. If the function is running in a VPC, ensure that the necessary security groups and network ACLs are set up to allow the function to access the resources it needs.
6. If the function is experiencing high invocation errors, consider using a Dead Letter Queue to capture the input of the failed events and troubleshoot the failure.
7. Use CloudTrail to audit the function’s activity, this will help me to detect any unauthorized access to the function, and troubleshoot any issues with the function’s execution.

Can you explain how you would set up and configure Amazon Route 53 for DNS routing?

Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web service. To set it up, the following steps can be taken:

1. Create a hosted zone in Route 53. This will be the container for the DNS records for your domain.
2. Add appropriate DNS records to the hosted zone. These can include A records for IP addresses, MX records for email, and CNAME records for aliases.
3. Update the name servers for your domain to use the ones assigned by Route 53. This will direct all DNS queries for your domain to Route 53.
4. Test that the configuration is working by performing DNS lookups for your domain using the command line or online tools.

To configure Route 53 for DNS routing, you can use Route 53 routing policies such as Simple Routing, Weighted Routing, Latency-based Routing, and Geolocation Routing, to route traffic to different endpoints based on different conditions such as the geographic location of the user, the health of the endpoint, or the weight you assign to different resources.

For more advanced scenarios, you can also use Amazon Route 53 Resolver to route DNS queries between your on-premises network and your VPCs, or use Amazon Route 53 Traffic Flow to create a global traffic management system for your domain.

How do you manage and troubleshoot AWS Direct Connect?

Managing and troubleshooting AWS Direct Connect involves monitoring the connection status, identifying and resolving any connectivity issues, and monitoring the connection performance.

To set up AWS Direct Connect, the first step is to create a virtual interface and configure it to connect to your on-premises network. This includes specifying the bandwidth, VLAN, and BGP ASN information.

To monitor the connection status, you can use the AWS Direct Connect console, the Direct Connect API, or the AWS Command Line Interface (CLI). The console provides a dashboard that displays the status of your connections, virtual interfaces, and virtual private gateways. The Direct Connect API and CLI enable you to programmatically check the status of your connections.

To troubleshoot connectivity issues, you can use the Direct Connect troubleshooting tools, such as traceroute, ping, and Telnet. These tools can help you identify the source of the problem, whether it is on the AWS side or the on-premises side.

To monitor the connection performance, you can use CloudWatch metrics, such as packets, bytes, and BGP updates, to track the amount of data being transferred over the connection. You can also use CloudWatch alarms to be notified of any performance issues.

In order to troubleshoot Direct Connect it’s important to first identify the problem, whether it’s on the AWS side or on-premises side. Then, depending on the problem, you should check the Direct Connect connection and virtual interface status, the BGP session status, and the VLAN status. Additionally, you can also check for any errors in the network devices, such as routers and switches, on both the AWS and on-premises sides. After identifying the problem, you can then take appropriate action to resolve it.

Basic Interview Questions

What do you mean by Amazon Web Services (AWS)?

Amazon Web Service is a cloud computing platform that is versatile, dependable, scalable, easy to use, and cost-effective. It provides cloud computing, databases, storage, content delivery, and a variety of other cutting-edge services to businesses of all sizes. Over 200 fully equipped services are available from data centres across the world.

What is Cloud Computing?

The term “cloud computing” refers to the process of storing and accessing data over the internet. Cloud computing is the on-demand, pay-as-you-go distribution of IT services over the Internet. It does not save any information on your computer’s hard drive. You can access data from a remote server using cloud computing.

What are the roles and responsibilities of SysOps Administrator Associate?

An AWS Administrator’s primary task is to set up cloud management services on AWS for the organisation. AWS Certified SysOps Administrator Associate also performs the following extra yet important roles.

• Firstly, Managing the complete AWS life cycle, along with security, provisioning, and automation.
• Secondly, Administrating and establishing the architecture of multi-tier systems
• Thirdly, Performing services such as kernel patching, errata patching, and software upgrades
• Fourthly, Effectively monitoring performance degree and its availability
• Lastly, Creating backups and managing disaster recovery

What is the use of AWS Well-Architected Framework?

Cloud architects can use AWS Well-Architected to create secure, high-performing, resilient, and efficient infrastructure for their applications and workloads. Operational excellence, security, reliability, performance efficiency, and cost optimization are the five pillars on which it is built. AWS Well-Architected offers customers and partners a uniform way of evaluating architectures and implementing designs that can grow over time.

What is an Operational Excellence Pillar?

The operational excellence pillar focuses on continuously refining processes and procedures while running and monitoring systems to generate corporate value. Automating changes, responding to events, and setting standards to govern everyday operations are all major subjects.

What do you understand by Security Pillar?

Protecting information and systems is a crucial priority for the security pillar. Data confidentiality and integrity, identifying and regulating who has permission to do what via privilege management, securing systems, and implementing procedures to detect security incidents are all important subjects.

What is a Reliability Pillar?

The dependability pillar ensures that a workload does what it’s supposed to do accurately and consistently when it’s supposed to. To satisfy business and consumer demand, a resilient workload swiftly recovers from setbacks. Distributed system design, recovery planning, and how to deal with change are all major concerns.

What do you understand by Performance Efficiency Pillar?

The pillar of performance efficiency focused on areas where IT and computer resources were used efficiently. Selecting the appropriate resource types and sizes depending on workload demands, monitoring performance, and making informed decisions to preserve efficiency as company needs change are all important subjects.

What are Cost Optimization Pillars?

The cost optimization pillar focuses on avoiding unnecessary costs. Key topics include understanding and controlling where money is being spent, selecting the most appropriate and right number of resource types, analyzing spend over time, and scaling to meet business needs without overspending.

What Is Amazon CloudWatch Logs?

• Amazon CloudWatch Logs is a service that allows users to monitor, store, and retrieve log files from Amazon Elastic Compute Cloud (Amazon EC2) instances, AWS CloudTrail, Route 53, and other sources.
• It also allows you to consolidate logs from all of your systems, applications, and AWS services into a single, highly scalable service.
• Logs allow you to view all of your logs, regardless of source, as a single and consistent flow of events ordered by time, as well as query and sort them based on other dimensions, group them by specific fields, create custom computations with a powerful query language, and visualise log data in dashboards.

What do you mean by auto-scaling?

AWS Auto Scaling examines your applications and adjusts capacity automatically to ensure consistent, predictable performance at the lowest feasible cost. Furthermore, AWS Auto Scaling makes it simple to scale applications across many resources and services in minutes. AWS Auto Scaling simplifies scaling by providing recommendations that help you optimise performance, costs, or a balance of the two. Your applications will always have the proper resources at the right time thanks to AWS Auto Scaling.

What are the benefits of auto-scaling?

• Setup scaling quickly: AWS Auto Scaling allows you to set target utilization levels for multiple resources in a single, intuitive interface. You can quickly see the average utilization of all of your scalable resources without having to navigate to other consoles.
• Make smart scaling decisions: AWS Auto Scaling allows you to build scaling plans that automate how groups of different resources respond to changes in demand. You can optimize availability, costs, or a balance of both. AWS Auto Scaling automatically creates all of the scaling policies and sets targets for you based on your preference.
• Automatically maintain performance: While using AWS Auto Scaling, you maintain optimal application performance and availability, even when workloads are periodic, unpredictable, or continuously changing. AWS Auto Scaling monitors your applications to make sure that they are operating at your desired performance levels.
• Pay only for what you need: Auto Scaling helps you optimize your utilization and cost efficiencies when using AWS services so that you only pay for the resources you actually need. When demand drops, AWS Auto Scaling will automatically remove all excess resource capacity so you avoid overspending.

Is AWS Auto Scaling free?

Yes, AWS Auto Scaling is free to use, and allows you to optimize the costs of your AWS environment.

Differentiate between horizontal scaling and vertical scaling?

Horizontal scaling is the process of increasing the number of nodes in a computing system without reducing their size. Vertical scaling, on the other hand, is the process of increasing the size and computing capability of a single instance or node while reducing the number of nodes or instances.

Define the term Instance?

In a computer architecture, an instance is a single real or virtual server. In most systems, the terms node and instance are interchangeable, while in some systems, an instance might retain the operations of multiple nodes.

What is the Amazon EC2 service?

Amazon Elastic Computation Cloud (Amazon EC2) is a cloud computing service that offers safe, scalable compute power. It was created with the goal of making web-scale cloud computing more accessible to developers. Furthermore, the user-friendly web service interface makes obtaining and configuring capacity a breeze. It gives you complete control over your computing resources and allows you to run on Amazon’s tried-and-true computing infrastructure.

What are the features of Amazon EC2 Services?

Amazon EC2 provides a number of useful and powerful features for building scalable, failure resilient, enterprise class applications.

• Firstly, Bare Metal instances
• Optimize Compute Performance and Cost with Amazon EC2 Fleet
• GPU Compute Instances
• GPU Graphics Instances
• High I/O Instances
• Optimized CPU Configurations
• Flexible Storage Options
• Paying for What You Use
• Enhanced Networking
• Lastly, High Performance Computing (HPC) Clusters

What is Amazon EFS?

Amazon EFS is a serverless, set-and-forget elastic file system from Amazon. You can construct a file system, mount it on an Amazon EC2 instance, and then read and write data to and from the file system using Amazon EFS.

What does Amazon RDS Multi-AZ Deployments offers?

RDS database (DB) instances in Amazon RDS Multi-AZ deployments have increased availability and durability, making them a perfect fit for production database workloads. Furthermore, Amazon RDS establishes a primary DB Instance and synchronously replicates the data to a backup instance in a different AZ when you construct a Multi-AZ DB Instance.

What is the relation between Instance and AMI?

Amazon Web Services provides a variety of ways for users to access Amazon EC2. Amazon tools for Windows Powershell, Amazon Web Services command line interface, and Amazon web services command line interface. To have access to these resources, you must first create an Amazon Web Services account. Furthermore, a single AMI can launch several instances. In most cases, an instance represents the host computer’s hardware. The computing and memory capabilities of each instance type vary.

Explain briefly Amazon S3 Replication?

S3 Replication is an elastic, adaptable, fully managed, low-cost technology that duplicates objects between buckets in Amazon Simple Storage Service (S3). S3 Replication provides the highest flexibility and functionality in cloud storage, allowing you to satisfy your data sovereignty and other business demands with the controls you need.

Define Recovery Time Objective (RTO)?

RTO is the maximum acceptable delay between the interruption of service and restoration of service. This determines what is considered an acceptable time window when service is unavailable.

Define Recovery Point Objective (RPO)?

The RPO is the maximum amount of time since the last data recovery point that can be tolerated. This sets how much data loss is tolerated between the last recovery point and the service disruption.

How EC2 Image Builder works?

• Specify pipeline details: Enter information about your pipeline, such as a name, description, tags, and a schedule to run automated builds. You can choose manual builds if you prefer.
• Choose recipe: Choose between building an AMI, or building a container image. For both types of output images, you enter a name and version for your recipe, select a source image, and choose components to add for building and testing.
• Define infrastructure configuration: Image Builder launches Amazon EC2 instances in your account to customize images and run validation tests.
• Define distribution settings: Choose the AWS Regions to distribute your image to after the build is complete and has passed all its tests. Moreover, the pipeline automatically distributes your image to the Region where it runs the build, and you can add image distribution for other Regions.

What is the use of Blue/Green deployment with CodeDeploy?

The blue/green deployment type uses the blue/green deployment model controlled by CodeDeploy. This deployment type enables you to verify a new deployment of service before sending production traffic to it.

Explain the three ways traffic can shift during a blue/green deployment?

• Canary: You can choose from predefined canary options that specify the percentage of traffic shifted to your updated task set in the first increment and the interval, in minutes, before the remaining traffic is shifted in the second increment.
• Linear: Traffic is shifted in equal increments with an equal number of minutes between each increment. You can choose from predefined linear options that specify the percentage of traffic shifted in each increment and the number of minutes between each increment.
• All-at-once: All traffic is shifted from the original task set to the updated task set all at once.

What do you know about 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. Config allows you to inspect changes to AWS resource configurations and relationships. Compliance auditing, security analysis, change management, and operational troubleshooting are all made easier as a result of this.

Explain how AWS Control Tower is useful to users?

Cloud setup and governance can be complex and time-consuming for customers with multiple AWS accounts and teams, slowing down your processes. AWS Control Tower is the simplest way to create and manage a landing zone, which is a secure, multi-account AWS environment. AWS clients can also use AWS Control Tower to expand governance to new or existing accounts and get a rapid view of their compliance status.

What are the benefits of using AWS Control Tower?

• Firstly, it quickly setup and configure a new AWS environment
• Secondly, it automate ongoing policy management
• Lastly, view policy-level summaries of your AWS environment

What is AWS Certificate Manager?

AWS Certificate Manager (ACM) handles the complexity of creating, storing, and renewing public and private certificates and keys that protect your AWS websites and applications. ACM certificates can secure singular domain names, multiple specific domain names, wildcard domains, or combinations of these. ACM wildcard certificates can protect an unlimited number of subdomains. 

What do you mean by Amazon DynamoDB?

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second.

What is Amazon CloudFront?

Amazon CloudFront is a web service that accelerates the delivery of static and dynamic web content to users, such as.html,.css,.js, and picture files. It distributes your content via a global network of data centres known as edge locations. When a user requests content served by CloudFront, the request is routed to the edge location with the lowest latency, ensuring that the content is provided as quickly as feasible.

What are the AWS Tools for Reporting and Cost Optimization?

AWS provides several reporting and cost-optimization tools:

• Amazon cost Explorer
• AWS trusted advisor
• Amazon Cloudwatch
• AWS budget
• AWS cloudTrail
• Amazon S3 analytics
• Lastly, AWS cost and usage report