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Amazon AWS-Solutions-Architect-Associate Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design Cost-Optimized Architectures	20%	- Select cost-effective database solutions 1. Database service pricing models 2. Capacity planning and optimization - Design cost-effective compute solutions 1. Serverless vs provisioned resources 2. Right-sizing and scaling 3. Instance type and purchasing options - Identify cost-effective storage solutions 1. Lifecycle management 2. Data retention and archiving 3. Storage class selection - Estimate costs and identify cost control mechanisms 1. Budgeting and alerts 2. Cost management tools - Design cost-effective network architectures 1. Connectivity options selection 2. Data transfer cost optimization
Topic 2: Design High-Performing Architectures	24%	- Design high-performance database solutions 1. Read replicas and caching 2. Database service selection (RDS, Aurora, DynamoDB, Neptune) 3. Data partitioning and distribution - Determine high-performance storage solutions 1. Caching strategies 2. Storage service selection (S3, EBS, EFS, FSx) 3. Data transfer and acceleration - Design high-performance network architectures 1. Edge delivery and content distribution 2. Network optimization and routing - Design high-performance compute solutions 1. Placement groups and networking 2. Scaling and performance optimization 3. Compute options (EC2, Lambda, ECS, EKS, Fargate)
Topic 3: Design Resilient Architectures	26%	- Determine how to isolate workloads 1. Resource separation and segmentation 2. Isolation boundaries and security domains - Design highly available and fault-tolerant architectures 1. Multi-AZ and multi-region deployments 2. Replication and backup strategies 3. Load balancing and auto scaling - Design solutions for disaster recovery 1. Cross-region replication and failover 2. RTO and RPO planning 3. Recovery strategies (backup, restore, pilot light, warm standby, multi-site)
Topic 4: Design Secure Architectures	30%	- Design solutions for secure access 1. Identity and access management (IAM) 2. Secure API access 3. Federated access and AWS SSO - Design solutions for secure networks 1. Edge security and protection 2. Private access options 3. VPC design and connectivity - Design solutions for secure workloads 1. Security groups and network ACLs 2. Data protection and encryption 3. Compliance and governance

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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Sample Questions (Q650-Q655):

NEW QUESTION # 650
A company has created a multi-tier application for its ecommerce website The website uses an Application Load Balancer that resides in the public subnets, a web tier in the public subnets, and a MySQL cluster hosted on Amazon EC2 instances in the private subnets. The MySQL database needs to retrieve product catalog and pricing information that is hosted on the internet by a third-party provider A solutions architect must devise a strategy that maximizes security without increasing operational overhead What should the solutions architect do to meet these requirements?

A. Deploy a NAT instance in the VPC Route all the internet-based traffic through the NAT instance
B. Configure an internet gateway and attach it to the VPC Modify the private subnet route table to direct internet-bound traffic to the internet gateway
C. Deploy a NAT gateway in the public subnets. Modify the private subnet route table to direct all internet-bound traffic to the NAT gateway.
D. Configure a virtual private gateway and attach it to the VPC Modify the private subnet route table to direct internet-bound traffic to the virtual private gateway.

Answer: C

NEW QUESTION # 651
An interactive, dynamic website runs on Amazon EC2 instances in a single subnet behind an ELB Classic Load Balancer.
Which design changes will make the site more highly available?

A. Move some Amazon EC2 instances to a subnet in the same Availability Zone.
B. Move the website to Amazon S3.
C. Change the ELB to an Application Load Balancer.
D. Move some Amazon EC2 instances to a subnet in a different way.

Answer: D

Explanation:
Explanation
https://docs.aws.amazon.com/elasticloadbalancing/latest/classic/elb-manage-subnets.html

NEW QUESTION # 652
A company offers a food delivery service that is growing rapidly. Because of the growth, the company's order processing system is experiencing scaling problems during peak traffic hours. The current architecture includes the following:
* A group of Amazon EC2 instances that run in an Amazon EC2 Auto Scaling group to collect orders from the application
* Another group of EC2 instances that run in an Amazon EC2 Auto Scaling group to fulfill orders The order collection process occurs quickly, but the order fulfillment process can take longer. Data must not be lost because of a scaling event.
A solutions architect must ensure that the order collection process and the order fulfillment process can both scale properly during peak traffic hours. The solution must optimize utilization of the company's AWS resources.
Which solution meets these requirements?

A. Use Amazon CloudWatch metrics to monitor the CPU of each instance in the Auto Scaling groups.
Configure each Auto Scaling group's minimum capacity according to peak workload values.
B. Provision two Amazon Simple Queue Service (Amazon SQS) queues: one for order collection and another for order fulfillment. Configure the EC2 instances to poll their respective queue. Scale the Auto Scaling groups based on notifications that the queues send.
C. Provision two Amazon Simple Queue Service (Amazon SQS) queues: one for order collection and another for order fulfillment. Configure the EC2 instances to poll their respective queue. Create a metric based on a backlog per instance calculation. Scale the Auto Scaling groups based on this metric.
D. Use Amazon CloudWatch metrics to monitor the CPU of each instance in the Auto Scaling groups.
Configure a CloudWatch alarm to invoke an Amazon Simple Notification Service (Amazon SNS) topic that creates additional Auto Scaling groups on demand.

Answer: C

Explanation:
Explanation
The number of instances in your Auto Scaling group can be driven by how long it takes to process a message and the acceptable amount of latency (queue delay). The solution is to use a backlog per instance metric with the target value being the acceptable backlog per instance to maintain.

NEW QUESTION # 653
A company will deployed a web application on AWS. The company hosts the backend database on Amazon RDS for MySQL with a primary DB instance and five read replicas to support scaling needs. The read replicas must log no more than 1 second bahind the primary DB Instance. The database routinely runs scheduled stored procedures.
As traffic on the website increases, the replicas experinces addtional lag during periods of peak lead. A solutions architect must reduce the replication lag as much as possible. The solutions architect must minimize changes to the applicatin code and must minimize ongoing overhead.
Which solution will meet these requirements?
Migrate the database to Amazon Aurora MySQL. Replace the read replicas with Aurora Replicas, and configure Aurora Auto Scaling. Replace the stored procedures with Aurora MySQL native functions.
Deploy an Amazon ElasticCache for Redis cluser in front of the database. Modify the application to check the cache before the application queries the database. Repace the stored procedures with AWS Lambda funcions.

A. Migrate the database to a MYSQL database that runs on Amazn EC2 instances. Choose large, compute optimized for all replica nodes. Maintain the stored procedures on the EC2 instances.
B. Deploy an Amazon ElastiCache for Redis cluster in fornt of the database. Modify the application to check the cache before the application queries the database. Replace the stored procedures with AWS Lambda functions.
C. Migrate the database to a MySQL database that runs on Amazon EC2 instances. Choose large, compute optimized EC2 instances for all replica nodes, Maintain the stored procedures on the EC2 instances.
D. Migrate the database to Amazon DynamoDB, Provision number of read capacity units (RCUs) to support the required throughput, and configure on-demand capacity scaling. Replace the stored procedures with DynamoDB streams.

Answer: A

Explanation:
Explanation
Option A is the most appropriate solution for reducing replication lag without significant changes to the application code and minimizing ongoing operational overhead. Migrating the database to Amazon Aurora MySQL allows for improved replication performance and higher scalability compared to Amazon RDS for MySQL. Aurora Replicas provide faster replication, reducing the replication lag, and Aurora Auto Scaling ensures that there are enough Aurora Replicas to handle the incoming traffic. Additionally, Aurora MySQL native functions can replace the stored procedures, reducing the load on the database and improving performance.

NEW QUESTION # 654
A company has a service that reads and writes large amounts of data from an Amazon S3 bucket in the same AWS Region. The service is deployed on Amazon EC2 instances within the private subnet of a VPC. The service communicates with Amazon S3 over a NAT gateway in the public subnet. However, the company wants a solution that will reduce the data output costs.
Which solution will meet these requirements MOST cost-effectively?

A. Provision a dedicated EC2 NAT instance in the private subnet. Configure the route table for the public subnet to use the elastic network interface of this instance as the destination for all S3 traffic.
B. Provision a VPC gateway endpoint. Configure the route table for the private subnet to use the gateway endpoint as the route for all S3 traffic.
C. Provision a second NAT gateway. Configure the route table for the private subnet to use this NAT gateway as the destination for all S3 traffic.
D. Provision a dedicated EC2 NAT instance in the public subnet. Configure the route table for the private subnet to use the elastic network interface of this instance as the destination for all S3 traffic.

Answer: B

Explanation:
it allows the company to reduce the data output costs for accessing Amazon S3 from Amazon EC2 instances in a VPC. By provisioning a VPC gateway endpoint, the company can enable private connectivity between the VPC and S3. By configuring the route table for the private subnet to use the gateway endpoint as the route for all S3 traffic, the company can avoid using a NAT gateway, which charges for data processing and data transfer. References:
VPC Endpoints for Amazon S3
VPC Endpoints Pricing

NEW QUESTION # 655
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