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| Section | Weight | Objectives |
|---|---|---|
| Design Secure Architectures | 30% | - Design secure access to AWS resources
|
| Design High-Performing Architectures | 24% | - Design high-performance storage solutions
|
| Design Resilient Architectures | 26% | - Design decoupled and loosely coupled systems
|
| Design Cost-Optimized Architectures | 20% | - Control and monitor costs
|
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NEW QUESTION # 848
[Design High-Performing Architectures]
A company wants to rearchitect a large-scale web application to a serverless microservices architecture. The application uses Amazon EC2 instances and is written in Python.
The company selected one component of the web application to test as a microservice. The component supports hundreds of requests each second. The company wants to create and test the microservice on an AWS solution that supports Python. The solution must also scale automatically and require minimal infrastructure and minimal operational support.
Which solution will meet these requirements?
Answer: A
Explanation:
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. You can use Lambda to create and test microservices that are written in Python or other supported languages. Lambda scales automatically to handle the number of requests per second. You only pay for the compute time you consume. Lambda also integrates with other AWS services, such as Amazon API Gateway, Amazon S3, Amazon DynamoDB, and Amazon SQS, to enable event-driven architectures. Lambda has minimal infrastructure andoperational overhead, as you do not need to manage servers, operating systems, patches, or scaling policies.
The other options are not serverless solutions and require more infrastructure and operational support. They also do not scale automatically to handle the number of requests per second. A Spot Fleet is a collection of EC2 instances that run on spare capacity at low prices. However, Spot Instances can be interrupted by AWS at any time, which can affect the availability and performance of your microservice. AWS Elastic Beanstalk is a service that automates the deployment and management of web applications on EC2 instances. However, you still need to provision, configure, and monitor the underlying EC2 instances and load balancers. Amazon EKS is a service that runs Kubernetes on AWS. However, you still need to create, configure, and manage the EC2 instances that form the Kubernetes cluster and nodes. You also need to install and update the Kubernetes software and tools.
Reference:
What is AWS Lambda?
Building Lambda functions with Python
Create a layer for a Lambda Python function
AWS Lambda - Function in Python
How do I call my AWS Lambda function from a local python script?
NEW QUESTION # 849
A company runs a container application on a Kubernetes cluster in the company's data center The application uses Advanced Message Queuing Protocol (AMQP) to communicate with a message queue The data center cannot scale fast enough to meet the company's expanding business needs The company wants to migrate the workloads to AWS Which solution will meet these requirements with the LEAST operational overhead? \
Answer: A
Explanation:
This option is the best solution because it allows the company to migrate the container application to AWS with minimal changes and leverage a managed service to run the Kubernetes cluster and the message queue.
By using Amazon EKS, the company can run the container application on a fully managed Kubernetes control plane that is compatible with the existing Kubernetes tools and plugins. Amazon EKS handles the provisioning, scaling, patching, and security of the Kubernetes cluster, reducing the operational overhead and complexity. By using Amazon MQ, the company can use a fully managed message broker service that supports AMQP and other popular messaging protocols. Amazon MQ handles the administration, maintenance, and scaling of the message broker, ensuring high availability, durability, and security of the messages.
A: Migrate the container application to Amazon Elastic Container Service (Amazon ECS) Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages. This option is not optimal because it requires the company to change the container orchestration platform from Kubernetes to ECS, which can introduce additional complexity and risk. Moreover, it requires the company to change the messaging protocol from AMQP to SQS, which can also affect the application logic and performance. Amazon ECS and Amazon SQS are both fully managed services that simplify the deployment and management of containers and messages, but they may not be compatible with the existing application architecture and requirements.
C: Use highly available Amazon EC2 instances to run the application Use Amazon MQ to retrieve the messages. This option is not ideal because it requires the company to manage the EC2 instances that host the container application. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs. Moreover, the company would need to install and maintain the Kubernetes software on the EC2 instances, which can also add complexity and risk. Amazon MQ is a fully managed message broker service that supports AMQP and other popular messaging protocols, but it cannot compensate for the lack of a managed Kubernetes service.
D: Use AWS Lambda functions to run the application Use Amazon Simple Queue Service (Amazon SQS) to retrieve the messages. This option is not feasible because AWS Lambda does not support running container applications directly. Lambda functions are executed in a sandboxed environment that is isolated from other functions and resources. To run container applications on Lambda, the company would need to use a custom runtime or a wrapper library that emulates the container API, which can introduce additional complexity and overhead. Moreover, Lambda functions have limitations in terms of available CPU, memory, and runtime, which may not suit the application needs. Amazon SQS is a fully managed message queue service that supports asynchronous communication, but it does not support AMQP or other messaging protocols.
References:
1 Amazon Elastic Kubernetes Service - Amazon Web Services
2 Amazon MQ - Amazon Web Services
3 Amazon Elastic Container Service - Amazon Web Services
4 AWS Lambda FAQs - Amazon Web Services
NEW QUESTION # 850
A company has hired a solutions architect to design a reliable architecture for its application. The application consists of one Amazon RDS DB instance and two manually provisioned Amazon EC2 instances that run web servers. The EC2 instances are located in a single Availability Zone.
An employee recently deleted the DB instance, and the application was unavailable for 24 hours as a result.
The company is concerned with the overall reliability of its environment.
What should the solutions architect do to maximize reliability of the application's infrastructure?
Answer: A
Explanation:
Explanation
This answer is correct because it meets the requirements of maximizing the reliability of the application's infrastructure. You can update the DB instance to be Multi-AZ, which means that Amazon RDS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. The primary DB instance is synchronously replicated across Availability Zones to a standby replica to provide data redundancy and minimize latency spikes during system backups. Running a DB instance with high availability can enhance availability during planned system maintenance. It can also help protect your databases against DB instance failure and Availability Zone disruption. You can also enable deletion protection on the DB instance, which prevents the DB instance from being deleted by any user. You can place the EC2 instances behind an Application Load Balancer, which distributes incoming application traffic across multiple targets, such as EC2 instances, in multiple Availability Zones. This increases the availability and fault tolerance of your applications. You can run the EC2 instances in an EC2 Auto Scaling group across multiple Availability Zones, which ensures that you have the correct number of EC2 instances available to handle the load for your application. You can use scaling policies to adjust the number of instances in your Auto Scaling group in response to changing demand.
References:
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZSingleStandby.html
* https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_DeleteInstance.html#USER_DeleteIn
* https://docs.aws.amazon.com/elasticloadbalancing/latest/application/introduction.html
* https://docs.aws.amazon.com/autoscaling/ec2/userguide/AutoScalingGroup.html
NEW QUESTION # 851
[Design Secure Architectures]
A company runs its workloads on Amazon Elastic Container Service (Amazon ECS). The container images that the ECS task definition uses need to be scanned for Common Vulnerabilities and Exposures (CVEs). New container images that are created also need to be scanned.
Which solution will meet these requirements with the FEWEST changes to the workloads?
Answer: A
NEW QUESTION # 852
An Intelligence Agency developed a missile tracking application that is hosted on both development and production AWS accounts. The Intelligence agency's junior developer only has access to the development account. She has received security clearance to access the agency's production account but the access is only temporary and only write access to EC2 and S3 is allowed.
Which of the following allows you to issue short-lived access tokens that act as temporary security credentials to allow access to your AWS resources?
Answer: D
Explanation:
AWS Security Token Service (AWS STS) is the service that you can use to create and provide trusted users with temporary security credentials that can control access to your AWS resources. Temporary security credentials work almost identically to the long-term access key credentials that your IAM users can use.
In this diagram, IAM user Alice in the Dev account (the role-assuming account) needs to access the Prod account (the role-owning account). Here's how it works:
Alice in the Dev account assumes an IAM role (WriteAccess) in the Prod account by calling AssumeRole.
STS returns a set of temporary security credentials.
Alice uses the temporary security credentials to access services and resources in the Prod account.
Alice could, for example, make calls to Amazon S3 and Amazon EC2, which are granted by the WriteAccess role.
Using AWS Cognito to issue JSON Web Tokens (JWT) is incorrect because the Amazon Cognito service is primarily used for user authentication and not for providing access to your AWS resources. A JSON Web Token (JWT) is meant to be used for user authentication and session management.
Using AWS SSO is incorrect. Although the AWS SSO service uses STS, it does not issue short-lived credentials by itself. AWS Single Sign-On (SSO) is a cloud SSO service that makes it easy to centrally manage SSO access to multiple AWS accounts and business applications.
The option that says All of the above is incorrect as only STS has the ability to provide temporary security credentials.
Explanation:
Reference:
https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_temp.html AWS Identity Services Overview:
https://www.youtube.com/watch?v=AIdUw0i8rr0
Check out this AWS IAM Cheat Sheet:
https://tutorialsdojo.com/aws-identity-and-access-management-iam/
Tutorials Dojo's AWS Certified Solutions Architect Associate Exam Study Guide:
https://tutorialsdojo.com/aws-certified-solutions-architect-associate/
NEW QUESTION # 853
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