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| Section | Weight | Objectives |
|---|---|---|
| Design Cost-Optimized Architectures | 20% | - Design cost-optimized network architectures
|
| Design Resilient Architectures | 26% | - Design scalable and loosely coupled architectures
|
| Design Secure Architectures | 30% | - Design secure workloads and applications
|
| Design High-Performing Architectures | 24% | - Design high-performing and elastic compute solutions
|
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NEW QUESTION # 644
An e-commerce application is using a fanout messaging pattern for its order management system.
For every order, it sends an Amazon SNS message to an SNS topic, and the message is replicated and pushed to multiple Amazon SQS queues for parallel asynchronous processing. A Spot EC2 instance retrieves the message from each SQS queue and processes the message. There was an incident that while an EC2 instance is currently processing a message, the instance was abruptly terminated, and the processing was not completed in time.
In this scenario, what happens to the SQS message?
Answer: A
Explanation:
A "fanout" pattern is when an Amazon SNS message is sent to a topic and then replicated and pushed to multiple Amazon SQS queues, HTTP endpoints, or email addresses. This allows for parallel asynchronous processing. For example, you could develop an application that sends an Amazon SNS message to a topic whenever an order is placed for a product. Then, the Amazon SQS queues that are subscribed to that topic would receive identical notifications for the new order. The Amazon EC2 server instance attached to one of the queues could handle the processing or fulfillment of the order, while the other server instance could be attached to a data warehouse for analysis of all orders received.
When a consumer receives and processes a message from a queue, the message remains in the queue. Amazon SQS doesn't automatically delete the message. Because Amazon SQS is a distributed system, there's no guarantee that the consumer actually receives the message (for example, due to a connectivity issue, or due to an issue in the consumer application). Thus, the consumer must delete the message from the queue after receiving and processing it.
Immediately after the message is received, it remains in the queue. To prevent other consumers from processing the message again, Amazon SQS sets a visibility timeout, a period of time during which Amazon SQS prevents other consumers from receiving and processing the message. The default visibility timeout for a message is 30 seconds. The maximum is 12 hours.
The option that says: The message will automatically be assigned to the same EC2 instance when it comes back online within or after the visibility timeout is incorrect because the message will not be automatically assigned to the same EC2 instance once it is abruptly terminated. When the message visibility timeout expires, the message becomes available for processing by other EC2 instances. The option that says: The message is deleted and becomes duplicated in the SQS when the EC2 instance comes online is incorrect because the message will not be deleted and won't be duplicated in the SQS queue when the EC2 instance comes online.
The option that says: The message will be sent to a Dead Letter Queue in AWS DataSync is incorrect because although the message could be programmatically sent to a Dead Letter Queue (DLQ), it won't be handled by AWS DataSync but by Amazon SQS instead. AWS DataSync is primarily used to simplify your migration with AWS. It makes it simple and fast to move large amounts of data online between on- premises storage and Amazon S3 or Amazon Elastic File System (Amazon EFS). References:
http://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-visibility-timeout
.html
https://docs.aws.amazon.com/sns/latest/dg/sns-common-scenarios.html
Check out this Amazon SQS Cheat Sheet:
https://tutorialsdojo.com/amazon-sqs/
NEW QUESTION # 645
A company has NFS servers in an on-premises data center that need to periodically back up small amounts of data to Amazon S3. Which solution meets these requirements and is MOST cost-effective?
Answer: B
Explanation:
AWS DataSync is a service that makes it easy to move large amounts of data online between on-premises storage and AWS storage services. AWS DataSync can transfer data at speeds up to 10 times faster than open-source tools by using a purpose-built network protocol and parallelizing data transfers. AWS DataSync also handles encryption, data integrity verification, and bandwidth optimization. To use AWS DataSync, users need to deploy a DataSync agent on their on-premises servers, which connects to the NFS servers and syncs the data to Amazon S3. Users can schedule periodic or one-time sync tasks and monitor the progress and status of the transfers.
The other options are not correct because they are either not cost-effective or not suitable for the use case.
Setting up AWS Glue to copy the data from the on-premises servers to Amazon S3 is not cost-effective because AWS Glue is a serverless data integration service that is mainly used for extract, transform, and load (ETL) operations, not for simple data backup. Setting up an SFTP sync using AWS Transfer for SFTP to sync data from on premises to Amazon S3 is not cost-effective because AWS Transfer for SFTP is a fully managed service that provides secure file transfer using the SFTP protocol, which is more suitable for exchanging data with third parties than for backing up data. Setting up an AWS Direct Connect connection between the on-premises data center and a VPC, and copying the data to Amazon S3 is not cost-effective because AWS Direct Connect is a dedicated network connection between AWS and the on-premises location, which has high upfront costs and requires additional configuration.
References:
AWS DataSync
How AWS DataSync works
AWS DataSync FAQs
NEW QUESTION # 646
A company runsmultiple applications on Amazon EC2 instances in a VPC.
Application Aruns in aprivate subnetthat has acustom route table and network ACL.
Application Bruns in asecond private subnet in the same VPC.
The companyneeds to prevent Application A from sending traffic to Application B.
Which solution will meet this requirement?
Answer: B
Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
The requirement is toprevent Application A from sending traffic to Application B.
Understanding AWS Network Security Components:
Security Groups
Stateful(if traffic is allowed in one direction, it is automatically allowed in the reverse).
Do not support explicit deny rules, onlyallow rules.
Not suitable for blocking traffic in this scenario.
Network ACLs (NACLs)
Stateless(must define explicit rules for both inbound and outbound traffic).
Support explicit DENY rules.
Best suited for blocking traffic between subnets.
Analysis of the Options:
Option A: Deny Outbound Rule in Security Group for Application B#(Incorrect) Security Groups do not support explicit deny rules.
Does not block traffic from Application A to Application B.
Option B: Deny Outbound Rule in Security Group for Application A#(Incorrect) Security Groups do not support explicit deny rules.
Cannot effectively prevent Application A from sending traffic to Application B.
Option C: Deny Outbound Rule in NACL for Application B Subnet#(Incorrect) This wouldprevent Application B from sending traffic, butthe requirement is to block traffic from Application A to Application B.
Incorrect subnet is being modified.
Option D: Deny Outbound Rule in NACL for Application A Subnet#(Correct Choice) Prevents Application A from sending traffic to Application B by blocking outbound requests at the network level.
Effectively stops communication from A to B at the subnet level.
Why Option D is the Best Choice?
#NACLs support explicit deny rules, unlike security groups.#Blocks outbound traffic from Application A before it reaches Application B.#Works at the subnet level, making it scalable.
References:
AWS Network ACLs
NEW QUESTION # 647
A company hosts a website on Amazon EC2 instances that run Amazon Linux. The instances are behind an Application Load Balancer (ALB) and are part of an Auto Scaling group. Each instance uses Amazon Elastic Block Store (Amazon EBS) volumes to store product manuals.
New instances often have outdated data. The new instances occasionally take up to 30 minutes to receive updates from an external source.
The company must ensure that all instances have up-to-date product manuals. The company needs a solution that can adapt quickly to increased demand. The solution must not require modifications for the application code.
Which solution will meet these requirements?
Answer: D
Explanation:
Amazon EFS provides a shared, fully managed file system that can be mounted on all EC2 instances. This ensures that all instances have consistent, up-to-date access to the product manuals without requiring code changes. EFS automatically scales with demand, supporting rapid instance scaling in the Auto Scaling group.
NEW QUESTION # 648
A company is deploying an application in three AWS Regions using an Application Load Balancer Amazon Route 53 will be used to distribute traffic between these Regions. Which Route 53 configuration should a solutions architect use to provide the MOST high-performing experience?
Answer: C
Explanation:
To provide the most high-performing experience for the users of the application, a solutions architect should use a latency routing policy for the Route 53 A record. This policy allows Route 53 to route traffic to the AWS Region that provides the lowest possible latency for the users1. A latency routing policy can also improve the availability of the application, as Route 53 can automatically route traffic to another Region if the primary Region becomes unavailable2.
References:
* 1: https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html#routing-policy- latency
* 2: https://aws.amazon.com/route53/faqs/#Latency_Based_Routing
NEW QUESTION # 649
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