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Amazon SAA-C03 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Resilient Architectures	26%	- Design highly available and fault-tolerant architectures 1. Regions, Availability Zones, and edge locations 2. Load balancing and auto scaling 3. Replication and disaster recovery strategies - Design for reliability and recovery 1. Backup and restore mechanisms 2. Failover and failback processes - Design decoupled and loosely coupled systems 1. Serverless and managed service integration 2. Event-driven architectures 3. Messaging and queue services
Topic 2: Design High-Performing Architectures	24%	- Design high-performance networking solutions 1. Network architecture and connectivity 2. Latency reduction and throughput optimization 3. Global acceleration and routing - Design high-performance compute solutions 1. Scaling and performance optimization 2. Compute options (EC2, Lambda, ECS, EKS) 3. Instance types and sizing - Design high-performance storage solutions 1. Storage performance and durability 2. Caching and content delivery 3. Storage types (object, block, file)
Topic 3: Design Cost-Optimized Architectures	20%	- Identify cost-effective storage solutions 1. Storage classes and lifecycle policies 2. Data retention and archiving - Design cost-effective compute and network solutions 1. Data transfer cost optimization 2. Right-sizing and reserved instances 3. Serverless and pay-as-you-go models - Control and monitor costs 1. Resource tagging and allocation 2. Cost management tools and alerts
Topic 4: Design Secure Architectures	30%	- Design for security and threat detection 1. Monitoring and logging services 2. Incident response and security automation - Design secure access to AWS resources 1. Multi-account access and control 2. Shared responsibility model 3. Identity and access management (IAM, IAM Identity Center) 4. Security best practices and least privilege - Design secure workloads and applications 1. Data protection and encryption (at rest/in transit) 2. Network security (VPC, security groups, NACLs) 3. Compliance and governance controls

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q378-Q383):

NEW QUESTION # 378
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?

A. The message will automatically be assigned to the same EC2 instance when it comes back online within or after the visibility timeout.
B. The message is deleted and becomes duplicated in the SQS when the EC2 instance comes online.
C. When the message visibility timeout expires, the message becomes available for processing by other EC2 instances
D. The message will be sent to a Dead Letter Queue in AWS DataSync.

Answer: C

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 # 379
A company runs its ecommerce application on AWS. Every new order is published as a message in a RabbitMQ queue that runs on an Amazon EC2 instance in a single Availability Zone. These messages are processed by a different application that runs on a separate EC2 instance. This application stores the details in a PostgreSQL database on another EC2 instance. All the EC2 instances are in the same Availability Zone.
The company needs to redesign its architecture to provide the highest availability with the least operational overhead.
What should a solutions architect do to meet these requirements?

A. Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ. Create a Multi-AZ Auto Scaling group for EC2 instances that host the application. Migrate the database to run on a Multi-AZ deployment of Amazon RDS for PostgreSQL.
B. Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ. Create a Multi-AZ Auto Scaling group (or EC2 instances that host the application. Create another Multi-AZ Auto Scaling group for EC2 instances that host the PostgreSQL database.
C. Create a Multi-AZ Auto Scaling group for EC2 instances that host the RabbitMQ queue. Create another Multi-AZ Auto Scaling group for EC2 instances that host the application. Create a third Multi-AZ Auto Scaling group for EC2 instances that host the PostgreSQL database.
D. Create a Multi-AZ Auto Scaling group for EC2 instances that host the RabbitMQ queue. Create another Multi-AZ Auto Scaling group for EC2 instances that host the application. Migrate the database to run on a Multi-AZ deployment of Amazon RDS fqjPostgreSQL.

Answer: A

NEW QUESTION # 380
A company is building an ecommerce application and needs to store sensitive customer information. The company needs to give customers the ability to complete purchase transactions on the website. The company also needs to ensure that sensitive customer data is protected, even from database administrators.
Which solution meets these requirements?

A. Store sensitive data in Amazon FSx for Windows Server. Mount the file share on application servers.Use Windows file permissions to restrict access.
B. Store sensitive data in Amazon S3. Use AWS Key Management Service (AWS KMS) server-side encryption to encrypt the data. Use S3 bucket policies to restrict access.
C. Store sensitive data in Amazon RDS for MySQL. Use AWS Key Management Service (AWS KMS) client-side encryption to encrypt the data.
D. Store sensitive data in an Amazon Elastic Block Store (Amazon EBS) volume. Use EBS encryption to encrypt the data. Use an IAM instance role to restrict access.

Answer: C

Explanation:
it allows the company to store sensitive customer information in a managed AWS service and give customers the ability to complete purchase transactions on the website. By using AWS Key Management Service (AWS KMS) client-side encryption, the company can encrypt the data before sending it to Amazon RDS for MySQL. This ensures that sensitive customer data is protected, even from database administrators, as only the application has access to the encryption keys. References:
* Using Encryption with Amazon RDS for MySQL
* Encrypting Amazon RDS Resources

NEW QUESTION # 381
A solutions architect must design a highly available infrastructure for a website. The website is powered by Windows web servers that run on Amazon EC2 instances. The solutions architect must implement a solution that can mitigate a large-scale DDoS attack that originates from thousands of IP addresses. Downtime is not acceptable for the website.
Which actions should the solutions architect take to protect the website from such an attack? (Select TWO.)

A. Configure Amazon GuardDuty to automatically block the attackers.
B. Use an AWS Lambda function to automatically add attacker IP addresses to VPC network ACLs.
C. Configure the website to use Amazon CloudFront for both static and dynamic content.
D. Use EC2 Spot Instances in an Auto Scaling group with a target tracking scaling policy that is set to 80% CPU utilization
E. Use AWS Shield Advanced to stop the DDoS attack.

Answer: C,E

Explanation:
(https://aws.amazon.com/cloudfront

NEW QUESTION # 382
A solutions architect is designing a VPC with public and private subnets. The VPC and subnets use IPv4 CIDR blocks. There is one public subnet and one private subnet in each of three Availability Zones (AZs) for high availability. An internet gateway is used to provide internet access for the public subnets. The private subnets require access to the internet to allow Amazon EC2 instances to download software updates.
What should the solutions architect do to enable Internet access for the private subnets?

A. Create three NAT instances, one for each private subnet in each AZ. Create a private route table for each AZ that forwards non-VPC traffic to the NAT instance in its AZ.
B. Create an egress-only internet gateway on one of the public subnets. Update the route table for the private subnets that forward non-VPC traffic to the egress- only internet gateway.
C. Create a second internet gateway on one of the private subnets. Update the route table for the private subnets that forward non-VPC traffic to the private internet gateway.
D. Create three NAT gateways, one for each public subnet in each AZ. Create a private route table for each AZ that forwards non-VPC traffic to the NAT gateway in its AZ.

Answer: D

Explanation:
Explanation
https://aws.amazon.com/about-aws/whats-new/2018/03/introducing-amazon-vpc-nat-gateway-in-the-aws-govclo
https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat-comparison.html

NEW QUESTION # 383
......

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