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NEW QUESTION 30
A company runs an ecommerce application on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. The Auto Scaling group scales based on CPU utilization metrics. The ecommerce application stores the transaction data in a MySQL 8.0 database that is hosted on a large EC2 instance.
The database's performance degrades quickly as application load increases. The application handles more read requests than write transactions. The company wants a solution that will automatically scale the database to meet the demand of unpredictable read workloads while maintaining high availability.
Which solution will meet these requirements?
Answer: A
NEW QUESTION 31
A Solutions Architect is implementing a new High-Performance Computing (HPC) system in AWS that involves orchestrating several Amazon Elastic Container Service (Amazon ECS) tasks with an EC2 launch type that is part of an Amazon ECS cluster. The system will be frequently accessed by users around the globe and it is expected that there would be hundreds of ECS tasks running most of the time.
The Architect must ensure that its storage system is optimized for high-frequency read and write operations. The output data of each ECS task is around 10 MB but the obsolete data will eventually be archived and deleted so the total storage size won't exceed 10 TB.
Which of the following is the MOST suitable solution that the Architect should recommend?
Answer: B
Explanation:
Amazon Elastic File System (Amazon EFS) provides simple, scalable file storage for use with your Amazon ECS tasks. With Amazon EFS, storage capacity is elastic, growing and shrinking automatically as you add and remove files. Your applications can have the storage they need when they need it.
You can use Amazon EFS file systems with Amazon ECS to access file system data across your fleet of Amazon ECS tasks. That way, your tasks have access to the same persistent storage, no matter the infrastructure or container instance on which they land. When you reference your Amazon EFS file system and container mount point in your Amazon ECS task definition, Amazon ECS takes care of mounting the file system in your container.
To support a wide variety of cloud storage workloads, Amazon EFS offers two performance modes:
- General Purpose mode
- Max I/O mode.
You choose a file system's performance mode when you create it, and it cannot be changed. The two performance modes have no additional costs, so your Amazon EFS file system is billed and metered the same, regardless of your performance mode.
There are two throughput modes to choose from for your file system:
- Bursting Throughput
- Provisioned Throughput
With Bursting Throughput mode, a file system's throughput scales as the amount of data stored in the EFS Standard or One Zone storage class grows. File-based workloads are typically spiky, driving high levels of throughput for short periods of time, and low levels of throughput the rest of the time. To accommodate this, Amazon EFS is designed to burst to high throughput levels for periods of time.
Provisioned Throughput mode is available for applications with high throughput to storage (MiB/s per TiB) ratios, or with requirements greater than those allowed by the Bursting Throughput mode. For example, say you're using Amazon EFS for development tools, web serving, or content management applications where the amount of data in your file system is low relative to throughput demands. Your file system can now get the high levels of throughput your applications require without having to pad your file system.
In the scenario, the file system will be frequently accessed by users around the globe so it is expected that there would be hundreds of ECS tasks running most of the time. The Architect must ensure that its storage system is optimized for high-frequency read and write operations.
Hence, the correct answer is: Launch an Amazon Elastic File System (Amazon EFS) with Provisioned Throughput mode and set the performance mode to Max I/O. Configure the EFS file system as the container mount point in the ECS task definition of the Amazon ECS cluster.
The option that says: Set up an SMB file share by creating an Amazon FSx File Gateway in Storage Gateway. Set the file share as the container mount point in the ECS task definition of the Amazon ECS cluster is incorrect. Although you can use an Amazon FSx for Windows File Server in this situation, it is not appropriate to use this since the application is not connected to an on-premises data center. Take note that the AWS Storage Gateway service is primarily used to integrate your existing on-premises storage to AWS.
The option that says: Launch an Amazon Elastic File System (Amazon EFS) file system with Bursting Throughput mode and set the performance mode to General Purpose. Configure the EFS file system as the container mount point in the ECS task definition of the Amazon ECS cluster is incorrect because using Bursting Throughput mode won't be able to sustain the constant demand of the global application.
Remember that the application will be frequently accessed by users around the world and there are hundreds of ECS tasks running most of the time.
The option that says: Launch an Amazon DynamoDB table with Amazon DynamoDB Accelerator (DAX) and DynamoDB Streams enabled. Configure the table to be accessible by all Amazon ECS cluster instances. Set the DynamoDB table as the container mount point in the ECS task definition of the Amazon ECS cluster is incorrect because you cannot directly set a DynamoDB table as a container mount point. In the first place, DynamoDB is a database and not a file system which means that it can't be "mounted" to a server.
References:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/tutorial-efs-volumes.html
https://docs.aws.amazon.com/efs/latest/ug/performance.html
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/tutorial-wfsx-volumes.html Check out this Amazon EFS Cheat Sheet:
https://tutorialsdojo.com/amazon-efs/
NEW QUESTION 32
A company needs to deploy at least 2 EC2 instances to support the normal workloads of its application and automatically scale up to 6 EC2 instances to handle the peak load. The architecture must be highly available and fault-tolerant as it is processing mission-critical workloads.
As the Solutions Architect of the company, what should you do to meet the above requirement?
Answer: A
Explanation:
Amazon EC2 Auto Scaling helps ensure that you have the correct number of Amazon EC2 instances available to handle the load for your application. You create collections of EC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto Scaling group, and Amazon EC2 Auto Scaling ensures that your group never goes below this size. You can also specify the maximum number of instances in each Auto Scaling group, and Amazon EC2 Auto Scaling ensures that your group never goes above this size.
To achieve highly available and fault-tolerant architecture for your applications, you must deploy all your instances in different Availability Zones. This will help you isolate your resources if an outage occurs.
Take note that to achieve fault tolerance, you need to have redundant resources in place to avoid any system degradation in the event of a server fault or an Availability Zone outage. Having a fault-tolerant architecture entails an extra cost in running additional resources than what is usually needed. This is to ensure that the mission-critical workloads are processed.
Since the scenario requires at least 2 instances to handle regular traffic, you should have 2 instances running all the time even if an AZ outage occurred. You can use an Auto Scaling Group to automatically scale your compute resources across two or more Availability Zones. You have to specify the minimum capacity to 4 instances and the maximum capacity to 6 instances. If each AZ has 2 instances running, even if an AZ fails, your system will still run a minimum of 2 instances.
Hence, the correct answer in this scenario is: Create an Auto Scaling group of EC2 instances and set the minimum capacity to 4 and the maximum capacity to 6. Deploy 2 instances in Availability Zone A and another 2 instances in Availability Zone B.
The option that says: Create an Auto Scaling group of EC2 instances and set the minimum capacity to 2 and the maximum capacity to 6. Deploy 4 instances in Availability Zone A is incorrect because the instances are only deployed in a single Availability Zone. It cannot protect your applications and data from datacenter or AZ failures.
The option that says: Create an Auto Scaling group of EC2 instances and set the minimum capacity to 2 and the maximum capacity to 6. Use 2 Availability Zones and deploy 1 instance for each AZ is incorrect.
It is required to have 2 instances running all the time. If an AZ outage happened, ASG will launch a new instance on the unaffected AZ. This provisioning does not happen instantly, which means that for a certain period of time, there will only be 1 running instance left.
The option that says: Create an Auto Scaling group of EC2 instances and set the minimum capacity to 2 and the maximum capacity to 4. Deploy 2 instances in Availability Zone A and 2 instances in Availability Zone B is incorrect. Although this fulfills the requirement of at least 2 EC2 instances and high availability, the maximum capacity setting is wrong. It should be set to 6 to properly handle the peak load. If an AZ outage occurs and the system is at its peak load, the number of running instances in this setup will only be 4 instead of 6 and this will affect the performance of your application. References:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2-auto-scaling.html
https://docs.aws.amazon.com/documentdb/latest/developerguide/regions-and-azs.html Check out this AWS Auto Scaling Cheat Sheet:
https://tutorialsdojo.com/aws-auto-scaling/
NEW QUESTION 33
A company wants to run its critical applications in containers to meet requirements tor scalability and availability The company prefers to focus on maintenance of the critical applications The company does not want to be responsible for provisioning and managing the underlying infrastructure that runs the containerized workload What should a solutions architect do to meet those requirements?
Answer: C
Explanation:
Explanation
using AWS ECS on AWS Fargate since they requirements are for scalability and availability without having to provision and manage the underlying infrastructure to run the containerized workload.
https://docs.aws.amazon.com/AmazonECS/latest/userguide/what-is-fargate.html
NEW QUESTION 34
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