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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Cost-Optimized Architectures | 20% | - Design cost-optimized storage solutions
|
| Topic 2: Design High-Performing Architectures | 24% | - Determine high-performing and/or scalable network architectures
|
| Topic 3: Design Resilient Architectures | 26% | - Design scalable and loosely coupled architectures
|
| Topic 4: Design Secure Architectures | 30% | - Design secure workloads and applications
|
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NEW QUESTION # 496
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: D
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 # 497
A company is designing the architecture for a new mobile app that uses the AWS Cloud. The company uses organizational units (OUs) in AWS Organizations to manage its accounts. The company wants to tag Amazon EC2 instances with data sensitivity by using values of sensitive and nonsensitive IAM identities must not be able to delete a tag or create instances without a tag Which combination of steps will meet these requirements? (Select TWO.)
Answer: A,E
Explanation:
To meet the requirements for tagging and preventing instance creation or deletion without proper tags, the company can use a combination of AWS Organizations tag policies and service control policies (SCPs).
Tag Policies: These enforce specific tag values across resources. Creating a tag policy with required values (e.g., sensitive, non-sensitive) and attaching it to the appropriate organizational unit (OU) ensures consistency in tagging.
SCPs: SCPs can be used to enforce compliance by preventing instance creation without a tag and preventing tag deletion. These policies control actions at the account level across the organization.
Key AWS features:
Tag Policieshelp standardize tags across accounts, andSCPsenforce governance by restricting actions that violate the policies.
AWS Documentation: AWS best practices recommend using tag policies and SCPs to enforce compliance across multiple accounts within AWS Organizations.
NEW QUESTION # 498
A company's SAP application has a backend SQL Server database in an on-premises environment. The company wants to migrate its on-premises application and database server to AWS. The company needs an instance type that meets the high demands of its SAP database. On-premises performance data shows that both the SAP application and the database have high memory utilization.
Which solution will meet these requirements?
Answer: D
Explanation:
* Memory Optimized Instances: These instances are designed to deliver fast performance for workloads that process large data sets in memory. They are ideal for high-performance databases like SAP and applications with high memory utilization.
* High Memory Utilization: Both the SAP application and the SQL Server database have high memory demands as per the on-premises performance data. Memory optimized instances provide the necessary memory capacity and performance.
* Instance Types:
* For the SAP application, using a memory optimized instance ensures the application has sufficient memory to handle the high workload efficiently.
* For the SQL Server database, memory optimized instances ensure optimal database performance with high memory throughput.
* Operational Efficiency: Using the same instance family for both the application and the database simplifies management and ensures both components meet performance requirements.
References:
* Amazon EC2 Instance Types
* SAP on AWS
NEW QUESTION # 499
A company hosts a containerized web application on a fleet of on-premises servers that process incoming requests. The number of requests is growing quickly. The on-premises servers cannot handle the increased number of requests. The company wants to move the application to AWS with minimum code changes and minimum development effort.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
Explanation
AWS Fargate is a serverless compute engine that lets users run containers without having to manage servers or clusters of Amazon EC2 instances1. Users can use AWS Fargate on Amazon Elastic Container Service (Amazon ECS) to run the containerized web application with Service Auto Scaling. Amazon ECS is a fully managed container orchestration service that supports both Docker and Kubernetes2. Service Auto Scaling is a feature that allows users to adjust the desired number of tasks in an ECS service based on CloudWatch metrics, such as CPU utilization or request count3. Users can use AWS Fargate on Amazon ECS to migrate the application to AWS with minimum code changes and minimum development effort, as they only need to package their application in containers and specify the CPU and memory requirements.
Users can also use an Application Load Balancer to distribute the incoming requests. An Application Load Balancer is a load balancer that operates at the application layer and routes traffic to targets based on the content of the request. Users can register their ECS tasks as targets for an Application Load Balancer and configure listener rules to route requests to different target groups based on path or host headers. Users can use an Application Load Balancer to improve the availability and performance of their web application.
NEW QUESTION # 500
A company plans to host a web application in an Auto Scaling group of Amazon EC2 instances. The application will be used globally by users to upload and store several types of files. Based on user trends, files that are older than 2 years must be stored in a different storage class. The Solutions Architect of the company needs to create a cost-effective and scalable solution to store the old files yet still provide durability and high availability.
Which of the following approach can be used to fulfill this requirement? (Select TWO.)
Answer: C,E
Explanation:
Amazon S3 stores data as objects within buckets. An object is a file and any optional metadata that describes the file. To store a file in Amazon S3, you upload it to a bucket. When you upload a file as an object, you can set permissions on the object and any metadata. Buckets are containers for objects. You can have one or more buckets. You can control access for each bucket, deciding who can create, delete, and list objects in it. You can also choose the geographical region where Amazon S3 will store the bucket and its contents and view access logs for the bucket and its objects.
To move a file to a different storage class, you can use Amazon S3 or Amazon EFS. Both services have lifecycle configurations. Take note that Amazon EFS can only transition a file to the IA storage class after 90 days. Since you need to move the files that are older than 2 years to a more cost-effective and scalable solution, you should use the Amazon S3 lifecycle configuration. With S3 lifecycle rules, you can transition files to S3 Standard IA or S3 Glacier. Using S3 Glacier expedited retrieval, you can quickly access your files within 1-5 minutes.
Hence, the correct answers are:
- Use Amazon S3 and create a lifecycle policy that will move the objects to Amazon S3 Glacier after 2 years.
- Use Amazon S3 and create a lifecycle policy that will move the objects to Amazon S3 Standard-IA after 2 years.
The option that says: Use Amazon EFS and create a lifecycle policy that will move the objects to Amazon EFS-IA after 2 years is incorrect because the maximum days for the EFS lifecycle policy is only 90 days. The requirement is to move the files that are older than 2 years or 730 days.
The option that says: Use Amazon EBS volumes to store the files. Configure the Amazon Data Lifecycle Manager (DLM) to schedule snapshots of the volumes after 2 years is incorrect because Amazon EBS costs more and is not as scalable as Amazon S3. It has some limitations when accessed by multiple EC2 instances. There are also huge costs involved in using the multi-attach feature on a Provisioned IOPS EBS volume to allow multiple EC2 instances to access the volume.
The option that says: Use a RAID 0 storage configuration that stripes multiple Amazon EBS volumes together to store the files. Configure the Amazon Data Lifecycle Manager (DLM) to schedule snapshots of the volumes after 2 years is incorrect because RAID (Redundant Array of Independent Disks) is just a data storage virtualization technology that combines multiple storage devices to achieve higher performance or data durability. RAID 0 can stripe multiple volumes together for greater I/O performance than you can achieve with a single volume. On the other hand, RAID 1 can mirror two volumes together to achieve on-instance redundancy.
References:
https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html
https://docs.aws.amazon.com/efs/latest/ug/lifecycle-management-efs.html
https://aws.amazon.com/s3/faqs/
Check out this Amazon S3 Cheat Sheet:
https://tutorialsdojo.com/amazon-s3/
NEW QUESTION # 501
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