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Amazon SAA-C03 Exam Syllabus Topics:

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

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q824-Q829):

NEW QUESTION # 824
A company needs to design a solution to process videos that users upload to an Amazon S3 bucket. Each video file is approximately 1 GB in size and takes approximately 20 minutes to process. During peak hours, the company expects to process approximately 100 simultaneous uploads. The video file processing is stateless and can run in parallel as soon as the video files arrive in the S3 bucket.
Which solution will meet these requirements in the MOST cost-effective way?

A. Use an AWS Lambda function to process each video. Split the video files into chunks, and use AWS Step Functions to orchestrate multiple processing steps.
B. Use Amazon EC2 On-Demand Instances in an Auto Scaling group to process each file. Configure the Auto Scaling policy to increase the number of instances based on the number of files that the application needs to process.
C. Use an Amazon EKS cluster with AWS Fargate profiles to deploy one container for each uploaded video. Configure an Amazon EventBridge rule to invoke the cluster when a user uploads a video.
D. Use an Amazon ECS cluster with the AWS Fargate launch type. Use Fargate Spot capacity to run one container task for each uploaded video. Configure an Amazon EventBridge rule to invoke the cluster when a user uploads a video.

Answer: D

Explanation:
The workload isstateless,parallel, and each job runs for about20 minutes, which makes Lambda a poor fit because Lambda has a maximum execution time of 15 minutes. AWS Fargate is a strong match for event- driven container workloads because it removes server management overhead, andFargate Spotlowers cost for interruption-tolerant processing. AWS also provides patterns for runningevent-driven workloads at scale with Fargate, and EventBridge can be used to trigger container tasks from S3-originated events. Compared with EKS or EC2 On-Demand, ECS on Fargate Spot is the most cost-effective managed container approach here.

NEW QUESTION # 825
A company recently signed a contract with an AWS Managed Service Provider (MSP) Partner for help with an application migration initiative. A solutions architect needs to share an Amazon Machine Image (AMI) from an existing AWS account with the MSP Partner's AWS account. The AMI is backed by Amazon Elastic Block Store (Amazon EBS) and uses a customer managed customer master key (CMK) to encrypt EBS volume snapshots.
What is the MOST secure way for the solutions architect to share the AMI with the MSP Partner's AWS account?

A. Modify the launchPermission property of the AMI Share the AMI with the MSP Partner's AWS account only. Modify the CMK's key policy to trust a new CMK that is owned by the MSP Partner for encryption.
B. Export the AMI from the source account to an Amazon S3 bucket in the MSP Partner's AWS account.
Encrypt the S3 bucket with a CMK that is owned by the MSP Partner Copy and launch the AMI in the MSP Partner's AWS account.
C. Modify the launchPermission property of the AMI. Share the AMI with the MSP Partner's AWS account only. Modify the CMK's key policy to allow the MSP Partner's AWS account to use the key.
D. Make the encrypted AMI and snapshots publicly available. Modify the CMK's key policy to allow the MSP Partner's AWS account to use the key

Answer: C

Explanation:
Explanation
Share the existing KMS key with the MSP external account because it has already been used to encrypt the AMI snapshot.
https://docs.aws.amazon.com/kms/latest/developerguide/key-policy-modifying-external-accounts.html

NEW QUESTION # 826
A company runs a photo processing application that needs to frequently upload and download pictures from Amazon S3 buckets that are located in the same AWS Region. A solutions architect has noticed an increased cost in data transfer fees and needs to implement a solution to reduce these costs. How can the solutions architect meet this requirement?

A. Deploy an S3 VPC gateway endpoint into the VPC and attach an endpoint policy that allows access to the S3 buckets.
B. Deploy a NAT gateway into a public subnet and attach an end point policy that allows access to the S3 buckets.
C. Deploy the application Into a public subnet and allow it to route through an internet gateway to access the S3 Buckets.
D. Deploy Amazon API Gateway into a public subnet and adjust the route table to route S3 calls through It.

Answer: A

Explanation:
By deploying an S3 VPC gateway endpoint, the application can access the S3 buckets over a private network connection within the VPC, eliminating the need for data transfer over the internet. This can help reduce data transfer fees as well as improve the performance of the application. The endpoint policy can be used to specify which S3 buckets the application has access to.

NEW QUESTION # 827
A company uses NFS to store large video files in on-premises network attached storage. Each video file ranges in size from 1MB to 500 GB. The total storage is 70 TB and is no longer growing. The company decides to migrate the video files to Amazon S3. The company must migrate the video files as soon as possible while using the least possible network bandwidth.
Which solution will meet these requirements?

A. Set up an AWS Direct Connect connection between the on-premises network and AWS. Deploy an S3 File Gateway on premises. Create a public virtual interlace (VIF) to connect to the S3 File Gateway.
Create an S3 bucket. Create a new NFS file share on the S3 File Gateway. Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.
B. Create an AWS Snowball Edge job. Receive a Snowball Edge device on premises. Use the Snowball Edge client to transfer data to the device. Return the device so that AWS can import the data into Amazon S3.
C. Deploy an S3 File Gateway on premises. Create a public service endpoint to connect to the S3 File Gateway Create an S3 bucket Create a new NFS file share on the S3 File Gateway Point the new file share to the S3 bucket. Transfer the data from the existing NFS file share to the S3 File Gateway.
D. Create an S3 bucket Create an IAM role that has permissions to write to the S3 bucket. Use the AWS CLI to copy all files locally to the S3 bucket.

Answer: B

Explanation:
Explanation
The basic difference between Snowball and Snowball Edge is the capacity they provide. Snowball provides a total of 50 TB or 80 TB, out of which 42 TB or 72 TB is available, while Amazon Snowball Edge provides
100 TB, out of which 83 TB is available.

NEW QUESTION # 828
[Design High-Performing Architectures]
A company plans to run a high performance computing (HPC) workload on Amazon EC2 Instances The workload requires low-latency network performance and high network throughput with tightly coupled node-to-node communication.
Which solution will meet these requirements?

A. Launch the EC2 instances with Dedicated Instance tenancy.
B. Launch the EC2 instances as Spot Instances.
C. Configure an On-Demand Capacity Reservation when the EC2 instances are launched.
D. Configure the EC2 instances to be part of a cluster placement group

Answer: D

Explanation:
Cluster Placement Group: This type of placement group is designed to provide low-latency network performance and high throughput by grouping instances within a single Availability Zone. It is ideal for applications that require tightly coupled node-to-node communication.
Configuration:
When launching EC2 instances, specify the option to launch them in a cluster placement group.
This ensures that the instances are physically located close to each other, reducing latency and increasing network throughput.
Benefits:
Low-Latency Communication: Instances in a cluster placement group benefit from enhanced networking capabilities, enabling low-latency communication.
High Network Throughput: The network performance within a cluster placement group is optimized for high throughput, which is essential for HPC workloads.
Reference:
Placement Groups
High Performance Computing on AWS

NEW QUESTION # 829
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