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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Design High-Performing Architectures24%- Design high-performance compute solutions
  • 1. Compute options (EC2, Lambda, ECS, EKS)
  • 2. Scaling and performance optimization
  • 3. Instance types and sizing
- Design high-performance networking solutions
  • 1. Global acceleration and routing
  • 2. Latency reduction and throughput optimization
  • 3. Network architecture and connectivity
- Design high-performance storage solutions
  • 1. Storage performance and durability
  • 2. Caching and content delivery
  • 3. Storage types (object, block, file)
Design Secure Architectures30%- Design secure access to AWS resources
  • 1. Identity and access management (IAM, IAM Identity Center)
  • 2. Multi-account access and control
  • 3. Shared responsibility model
  • 4. Security best practices and least privilege
- Design secure workloads and applications
  • 1. Compliance and governance controls
  • 2. Network security (VPC, security groups, NACLs)
  • 3. Data protection and encryption (at rest/in transit)
- Design for security and threat detection
  • 1. Monitoring and logging services
  • 2. Incident response and security automation
Design Cost-Optimized Architectures20%- Identify cost-effective storage solutions
  • 1. Data retention and archiving
  • 2. Storage classes and lifecycle policies
- Design cost-effective compute and network solutions
  • 1. Data transfer cost optimization
  • 2. Serverless and pay-as-you-go models
  • 3. Right-sizing and reserved instances
- Control and monitor costs
  • 1. Resource tagging and allocation
  • 2. Cost management tools and alerts
Design Resilient Architectures26%- 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. Regions, Availability Zones, and edge locations
  • 2. Load balancing and auto scaling
  • 3. Replication and disaster recovery strategies
- Design for reliability and recovery
  • 1. Failover and failback processes
  • 2. Backup and restore mechanisms

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Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q814-Q819):

質問 # 814
[Design Secure Architectures]
A solutions architect is designing an asynchronous application to process credit card data validation requests for a bank. The application must be secure and be able to process each request at least once.
Which solution will meet these requirements MOST cost-effectively?

正解：C

解説：
Requirement Analysis: The application must process each credit card data validation request at least once, securely and cost-effectively.
SQS FIFO Queues: Ensures that each message is processed exactly once and in the exact order sent.
AWS Lambda: Using Lambda for event-driven processing ensures scalability and cost-efficiency.
SSE-SQS: Provides encryption at rest using SQS-managed keys, simplifying encryption management.
Implementation:
Set up SQS FIFO queues as the event source for Lambda.
Enable SSE-SQS for encryption.
Ensure the Lambda execution role has the necessary permissions to use the encryption keys.
Conclusion: This combination meets the requirements of security, exact-once processing, and cost-effectiveness.
Reference
Amazon SQS:Amazon SQS Documentation
AWS Lambda with SQS:Using AWS Lambda with Amazon SQS


質問 # 815
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?

正解：C

解説：
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.


質問 # 816
A company runs a self-managed Microsoft SOL Server on Amazon EC2 instances and Amazon Elastic Block Store (Amazon EBS). Daily snapshots are taken of the EBS volumes.
Recently, all the company's EBS snapshots were accidentally deleted while running a snapshot cleaning script that deletes all expired EBS snapshots. A solutions architect needs to update the architecture to prevent data loss without retaining EBS snapshots indefinitely.
Which solution will meet these requirements with the LEAST development effort?

正解：B

解説：
Requirement Analysis: The goal is to prevent accidental deletion of EBS snapshots while avoiding indefinite retention.
Recycle Bin for EBS Snapshots: AWS Recycle Bin allows for retention rules that prevent immediate deletion of snapshots, providing a safety net against accidental deletions.
Retention Rule: A 7-day retention rule ensures snapshots are not permanently deleted immediately, giving time to recover from accidental deletions.
Implementation:
Enable Recycle Bin in your AWS account.
Create a retention rule that specifies a 7-day period for EBS snapshots.
Apply this rule to all EBS snapshots.
Conclusion: This solution provides an automated way to prevent data loss from accidental deletions with minimal development effort.
Reference
AWS Recycle Bin:AWS Recycle Bin Documentation


質問 # 817
A company is planning to use an Amazon DynamoDB table for data storage. The company is concerned about cost optimization. The table will not be used on most mornings. In the evenings, the read and write traffic will often be unpredictable. When traffic spikes occur, they will happen very quickly.
What should a solutions architect recommend?

正解：D

解説：
Provisioned capacity is best if you have relatively predictable application traffic, run applications whose traffic is consistent, and ramps up or down gradually. On-demand capacity mode is best when you have unknown workloads, unpredictable application traffic and also if you only want to pay exactly for what you use. The on-demand pricing model is ideal for bursty, new, or unpredictable workloads whose traffic can spike in seconds or minutes, and when under-provisioned capacity would impact the user experience. https://docs.aws.amazon.com/wellarchitected/latest/serverless-applications-lens/capacity.html


質問 # 818
A company's packaged application dynamically creates and returns single-use text files in response to user requests. The company is using Amazon CloudFront for distribution, but wants to further reduce data transfer costs. The company cannot modify the application's source code.
What should a solutions architect do to reduce costs?

正解：B

解説：
Lambda@Edge allows you to run functions at CloudFront edge locations, enabling modifications to content before it's delivered to users, including compression - which directly reduces data transfer cost.
"Lambda@Edge can be used to compress or modify your content before delivering it to end users, which reduces the amount of data transferred."
- Lambda@Edge Use Cases
Since code modifications aren't allowed, using Lambda@Edge is a non-invasive way to:
* Compress responses.
* Reduce transfer size = lower CloudFront cost.
Incorrect Options:
* B: S3 Transfer Acceleration improves speed, not cost.
* C: Caching doesn't help if content is always unique (single-use).
* D: Multipart uploads help with large file uploads, not transfers.
Reference:
Lambda@Edge for Content Compression
CloudFront Pricing and Cost Optimization


質問 # 819
......

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