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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design Resilient Architectures26%- Design decoupled and loosely coupled systems
  • 1. Serverless and managed service integration
  • 2. Event-driven architectures
  • 3. Messaging and queue services
- Design for reliability and recovery
  • 1. Failover and failback processes
  • 2. Backup and restore mechanisms
- 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 High-Performing Architectures24%- 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)
- Design high-performance networking solutions
  • 1. Global acceleration and routing
  • 2. Network architecture and connectivity
  • 3. Latency reduction and throughput optimization
Design Secure Architectures30%- Design secure access to AWS resources
  • 1. Security best practices and least privilege
  • 2. Shared responsibility model
  • 3. Multi-account access and control
  • 4. Identity and access management (IAM, IAM Identity Center)
- 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 for security and threat detection
  • 1. Monitoring and logging services
  • 2. Incident response and security automation
Design Cost-Optimized Architectures20%- Control and monitor costs
  • 1. Cost management tools and alerts
  • 2. Resource tagging and allocation
- 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
- Identify cost-effective storage solutions
  • 1. Storage classes and lifecycle policies
  • 2. Data retention and archiving

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Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q512-Q517):

NEW QUESTION # 512
A company runs demonstration environments for its customers on Amazon EC2 instances. Each environment is isolated in its own VPC. The company's operations team needs to be notified when RDP or SSH access to an environment has been established.

Answer: C

Explanation:
https://aws.amazon.com/blogs/security/how-to-monitor-and-visualize-failed-ssh-access-attempts-to-amazon-ec2-


NEW QUESTION # 513
A company runs an application that stores and shares photos. Users upload photos to an Amazon S3 bucket.
Approximately 150 photos are uploaded daily. The company wants to create a thumbnail for each new photo and store it in a second S3 bucket.
Which solution will meet these requirements MOST cost-effectively?

Answer: A

Explanation:
The workload described is event-driven, low volume, and sporadic, making serverless architecture the most cost-effective choice. AWS Lambda, when triggered by S3 event notifications, runs only when new photos are uploaded and incurs cost only for execution time.
Option C uses S3 event notifications to invoke a Lambda function whenever a new object is created. The Lambda function generates a thumbnail and uploads it to a second S3 bucket. This solution requires no servers, no scheduling, and no idle compute costs, making it extremely cost-efficient for 150 uploads per day.
Options A and B involve running long-lived compute resources that would remain idle most of the time, resulting in unnecessary cost. Option D is invalid because S3 Storage Lens is designed for storage analytics and reporting, not event-driven processing.
Therefore, C is the most cost-effective and operationally efficient solution.


NEW QUESTION # 514
A company plans to deploy an application that uses an Amazon CloudFront distribution. The company will set an Application Load Balancer (ALB) as the origin for the distribution. The company wants to ensure that users access the ALB only through the CloudFront distribution. The company plans to deploy the solution in a new VPC.
Which solution will meet these requirements?

Answer: C

Explanation:
To ensure ALB access only via CloudFront, AWS prescribes restricting the origin to traffic from CloudFront.
For ALB origins, the standard pattern is to allow inbound to the ALB only from CloudFront edge IP ranges using security groups or ALB listener rules. Network ACLs are coarse and stateless and add operational burden. CloudFront does not have a "VPC origin" object; instead, CloudFront references the ALB DNS name.
By limiting the ALB's security group to CloudFront IP ranges, direct client access to the ALB is blocked while CloudFront remains permitted. This aligns with security best practices to "restrict origin access to only CloudFront" and use SGs for instance/ALB layer controls.
References: Amazon CloudFront Developer Guide - Restricting access to Application Load Balancers; Elastic Load Balancing Security Groups; Well-Architected Security Pillar (protect origins, least privilege at network layer).


NEW QUESTION # 515
A manufacturing company develops an application to give a small team of executives the ability to track sales performance globally. The application provides a real-time simulator in a popular programming language.
The company uses AWS Lambda functions to support the simulator. The simulator is an algorithm that predicts sales performance based on specific variables.
Although the solution works well initially, the company notices that the time required to complete simulations is increasing exponentially. A solutions architect needs to improve the response time of the simulator.
Which solution will meet this requirement in the MOST cost-effective way?

Answer: B

Explanation:
When an AWS Lambda function is invoked, especially after periods of inactivity, it may experience cold starts that delay execution. As demand increases, the scaling behavior and latency of Lambda can affect performance. Provisioned Concurrency is an AWS feature designed specifically to solve this issue.
From AWS Documentation:
"Provisioned Concurrency keeps functions initialized and hyper-ready to respond in double-digit milliseconds." (Source: AWS Lambda Developer Guide - Managing Concurrency) Why Option D is correct:
* Provisioned Concurrency ensures that a specified number of Lambda function instances are always warm and ready to serve requests, eliminating cold start latency.
* It's cost-effective for workloads with consistent usage patterns, like real-time simulations for a small user group.
* Maintains scalability and low overhead of Lambda without moving to managed container or EC2 platforms.
Why the other options are less optimal:
* Option A (Fargate) and Option B (EC2): Introduce more infrastructure and higher ongoing costs for a small team with likely intermittent usage.
* Option C (AWS Batch): Ideal for batch jobs, not real-time simulations; also incurs higher latency due to job queuing.
References:
AWS Lambda Developer Guide - "Concurrency and Scaling"
AWS Well-Architected Framework - Performance Efficiency Pillar
AWS Compute Services Comparison - Lambda vs EC2 vs Fargate


NEW QUESTION # 516
A company wants to create a long-term storage solution that will allow users to upload terabytes of images and videos. The company will use the images and videos to train machine learning (ML) models. The storage solution must be scalable and cost-optimized.
Which solution will meet these requirements?

Answer: D

Explanation:
Amazon S3 is the most scalable and cost-optimized object storage for large amounts of data. It integrates natively with Amazon SageMaker, which allows direct access to S3 data for machine learning training jobs without the need to copy data elsewhere. The S3 Intelligent-Tiering storage class further optimizes storage costs for data with unknown or changing access patterns, while maintaining immediate availability for ML training.
Copying to FSx for Lustre or EFS adds unnecessary complexity and cost unless ultra-high throughput POSIX file access is specifically required, which is not mentioned here.
AWS Documentation Extract:
"Amazon S3 provides cost-effective storage for ML data sets, and Amazon SageMaker can directly access data in S3. S3 Intelligent-Tiering automatically moves data between frequent and infrequent access tiers, optimizing costs for changing data access patterns." (Source: AWS S3 and SageMaker documentation) A, D: FSx for Lustre or EFS may be used in specialized cases but are not cost-optimized for general large-scale ML data storage.
C: SageMaker notebook instance storage is not designed for large-scale data ingestion or long-term storage.


NEW QUESTION # 517
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