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| Section | Weight | Objectives |
|---|---|---|
| Design Resilient Architectures | 26% | - Highly available architecture
|
| Design Secure Architectures | 30% | - Secure workloads and applications
|
| Design High-Performing Architectures | 24% | - Compute and storage optimization
|
| Design Cost-Optimized Architectures | 20% | - Cost-effective resource selection
|
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NEW QUESTION # 176
A company has a highly dynamic batch processing job that uses many Amazon EC2 instances to complete it.
The job is stateless in nature, can be started and stopped at any given time with no negative impact, and typically takes upwards of 60 minutes total to complete. The company has asked a solutions architect to design a scalable and cost-effective solution that meets the requirements of the job.
What should the solutions architect recommend?
Answer: A
Explanation:
Explanation
EC2 Spot Instances allow users to bid on spare Amazon EC2 computing capacity and can be a cost-effective solution for stateless, interruptible workloads that can be started and stopped at any time. Since the batch processing job is stateless, can be started and stopped at any time, and typically takes upwards of 60 minutes to complete, EC2 Spot Instances would be a good fit for this workload.
NEW QUESTION # 177
[Design High-Performing Architectures]
A company is launching a new application deployed on an Amazon Elastic Container Service (Amazon ECS) cluster and is using the Fargate launch type tor ECS tasks The company is monitoring CPU and memory usage because it is expecting high traffic to the application upon its launch However the company wants to reduce costs when utilization decreases What should a solutions architect recommend?
Answer: B
Explanation:
https://docs.aws.amazon.com/autoscaling/application/userguide/what-is-application-auto-scaling.html
NEW QUESTION # 178
[Design High-Performing Architectures]
A company wants to improve the availability and performance of its hybrid application. The application consists of a stateful TCP-based workload hosted on Amazon EC2 instances in different AWS Regions and a stateless UDP-based workload hosted on premises.
Which combination of actions should a solutions architect take to improve availability and performance? (Select TWO.)
Answer: B,C
Explanation:
For improving availability and performance of the hybrid application, the following solutions are optimal:
AWS Global Accelerator (Option A): Global Accelerator provides high availability and improves performance by using the AWS global network to route user traffic to the nearest healthy endpoint (across AWS Regions). By adding the Network Load Balancers as endpoints, Global Accelerator ensures that traffic is routed efficiently to the closest endpoint, improving both availability and performance.
Network Load Balancer (Option D): Thestateful TCP-based workloadhosted on Amazon EC2 instances and thestateless UDP-based workloadhosted on-premises are best served by Network Load Balancers (NLBs). NLBs are designed to handle TCP and UDP traffic with ultra-low latency and can route traffic to both EC2 and on-premises endpoints.
Option B (CloudFront and Route 53): CloudFront is better suited for HTTP/HTTPS workloads, not for TCP/UDP-based applications.
Option C (ALB): Application Load Balancers do not support the stateless UDP-based workload, making NLBs the better choice for both TCP and UDP.
AWS Reference:
AWS Global Accelerator
Network Load Balancer
NEW QUESTION # 179
A company is moving a legacy data processing application to the AWS Cloud. The application needs to run on Amazon EC2 instances behind an Application Load Balancer (ALB).
The application must handle incoming traffic spikes and continue to work in the event of an application fault in one Availability Zone. The company requires that a Web Application Firewall (WAF) must be attached to the ALB.
Which solution will meet these requirements?
Answer: C
Explanation:
This design includes:
* ALB: Supports AWS WAF integration.
* Auto Scaling Group: Automatically scales based on load.
* Multi-AZ Deployment: Increases resiliency and availability.
* AWS WAF: Can be attached to ALB for application-layer protection.
"ALB is integrated with AWS WAF. You can deploy your EC2 instances in an Auto Scaling group across multiple Availability Zones to ensure high availability."
- High Availability with Auto Scaling and ALB
Why not others?
* A: Single AZ = not resilient
* C: AWS WAF cannot attach to Route 53
* D: NLB is not supported by AWS WAF
References:
AWS WAF Supported Services
Auto Scaling with Load Balancers
NEW QUESTION # 180
A company has several microservices that send messages to an Amazon SQS queue and a backend application that poll the queue to process the messages. The company also has a Service Level Agreement (SLA) which defines the acceptable amount of time that can elapse from the point when the messages are received until a response is sent. The backend operations are I/O-intensive as the number of messages is constantly growing, causing the company to miss its SLA. The Solutions Architect must implement a new architecture that improves the application's processing time and load management.
Which of the following is the MOST effective solution that can satisfy the given requirement?
Answer: D
Explanation:
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message-oriented middleware and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available.
The ApproximateAgeOfOldestMessage metric is useful when applications have time-sensitive messages and you need to ensure that messages are processed within a specific time period. You can use this metric to set Amazon CloudWatch alarms that issue alerts when messages remain in the queue for extended periods of time. You can also use alerts to take action, such as increasing the number of consumers to process messages more quickly.
With a target tracking scaling policy, you can scale (increase or decrease capacity) a resource based on a target value for a specific CloudWatch metric. To create a custom metric for this policy, you need to use AWS CLI or AWS SDKs. Take note that you need to create an AMI from the instance first before you can create an Auto Scaling group to scale the instances based on the ApproximateAgeOfOldestMessage metric.
Hence, the correct answer is: Create an AMI of the backend application's EC2 instance. Use the image to set up an Auto Scaling Group and configure a target tracking scaling policy based on the ApproximateAgeOfOldestMessage metric.
The option that says: Create an AMI of the backend application's EC2 instance. Use the image to set up an Auto Scaling Group and configure a target tracking scaling policy based on the CPUUtilization metric with a target value of 80% is incorrect. Although this will improve the backend processing, the scaling policy based on the CPUUtilization metric is not meant for time-sensitive messages where you need to ensure that the messages are processed within a specific time period. It will only trigger the scale-out activities based on the CPU Utilization of the current instances, and not based on the age of the message, which is a crucial factor in meeting the SLA. To satisfy the requirement in the scenario, you should use the ApproximateAgeOfOldestMessage metric.
The option that says: Create an AMI of the backend application's EC2 instance and replace it with a larger instance size is incorrect because replacing the instance with a large size won't be enough to dynamically handle workloads at any level. You need to implement an Auto Scaling group to automatically adjust the capacity of your computing resources.
The option that says: Create an AMI of the backend application's EC2 instance and launch it to a cluster placement group is incorrect because a cluster placement group is just a logical grouping of EC2 instances. Instead of launching the instance in a placement group, you must set up an Auto Scaling group for your EC2 instances and configure a target tracking scaling policy based on the ApproximateAgeOfOldestMessage metric.
References:
https://aws.amazon.com/about-aws/whats-new/2016/08/new-amazon-cloudwatch-metric-for-amazon-sqs
-monitors-the-age-of-the-oldest-message/
https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-available-cloud watch-metrics.html
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html Check out this Amazon SQS Cheat Sheet:
https://tutorialsdojo.com/amazon-sqs/
NEW QUESTION # 181
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