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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Resilient Architectures26%- Design scalable and loosely coupled architectures
  • 1. Amazon EventBridge
  • 2. Amazon SQS and SNS
  • 3. Amazon API Gateway
  • 4. Elastic Load Balancing
  • 5. Auto Scaling groups
- Design highly available and/or fault-tolerant architectures
  • 1. Multi-AZ deployments
  • 2. Multi-Region architectures
  • 3. Amazon Route 53 routing policies
  • 4. AWS Global Accelerator
  • 5. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
Topic 2: Design Secure Architectures30%- Design secure workloads and applications
  • 1. AWS WAF and Shield
  • 2. Encryption at rest and in transit
  • 3. Security groups and NACLs
  • 4. AWS KMS and CloudHSM
- Determine appropriate data security controls
  • 1. Data backup and recovery
  • 2. Data encryption strategies
  • 3. Data classification
  • 4. Amazon Macie and GuardDuty
- Design secure access to AWS resources
  • 1. Multi-factor authentication (MFA)
  • 2. AWS Organizations and SCPs
  • 3. IAM policies and roles
  • 4. Identity federation
Topic 3: Design High-Performing Architectures24%- Determine high-performing and/or scalable network architectures
  • 1. AWS Direct Connect
  • 2. Amazon CloudFront
  • 3. VPC endpoints
  • 4. AWS Global Accelerator
  • 5. Amazon Route 53
- Determine high-performing database solutions
  • 1. Amazon RDS and Aurora
  • 2. Amazon Redshift
  • 3. Amazon ElastiCache (Redis/Memcached)
  • 4. Amazon DynamoDB
- Design high-performing and elastic compute solutions
  • 1. AWS Lambda
  • 2. Amazon ECS and EKS
  • 3. Amazon EC2 instance types and families
  • 4. AWS Elastic Beanstalk
- Determine high-performing data ingestion and transformation solutions
  • 1. AWS Data Pipeline
  • 2. Amazon Kinesis
  • 3. AWS Glue
  • 4. Amazon MSK
- Determine high-performing and/or scalable storage solutions
  • 1. Amazon S3 storage classes and lifecycle policies
  • 2. Instance Store
  • 3. Amazon EBS volume types
  • 4. Amazon FSx
  • 5. Amazon EFS
Topic 4: Design Cost-Optimized Architectures20%- Design cost-optimized compute solutions
  • 1. Right-sizing instances
  • 2. AWS Lambda pricing model
  • 3. Auto Scaling for cost optimization
  • 4. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- Design cost-optimized storage solutions
  • 1. S3 storage classes and lifecycle policies
  • 2. EBS volume type selection
  • 3. S3 Intelligent-Tiering
  • 4. EFS cost optimization
- Design cost-optimized database solutions
  • 1. DynamoDB capacity modes (On-demand vs Provisioned)
  • 2. ElastiCache for caching
  • 3. RDS Reserved Instances
  • 4. Aurora Serverless
- Design cost-optimized network architectures
  • 1. AWS Direct Connect for cost optimization
  • 2. VPC endpoints to reduce NAT costs
  • 3. Data transfer costs
  • 4. CloudFront to reduce origin load

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最新的 AWS Certified Solutions Architect SAA-C03 免費考試真題 (Q491-Q496):

問題 #491
A company wants to migrate a visual search application from an on-premises environment to AWS. The application uses NFS storage to cache images. The image cache is currently a few terabytes in size. The company needs to migrate to a cost-effective cloud alternative.
Which solution will meet these requirements in the MOST cost-effective way?

答案：A

解題說明：
The correct answer is C because the existing application uses NFS storage for an image cache that is a few terabytes in size , and the company wants the most cost-effective cloud alternative . Amazon EFS One Zone is a managed file storage service that supports the NFS protocol , which allows the application to continue using a familiar file-based interface with minimal architectural change. Because this is a cache , not primary durable data, storing it in a One Zone file system is a cost-optimized choice compared with a Regional EFS deployment.
Amazon EFS is designed for shared file storage and can scale to multiple terabytes automatically. It avoids the operational overhead of managing EC2 instances and local disks for cache storage. It is also better aligned than object storage for workloads that already expect direct NFS semantics. The application can mount the EFS file system and use it as the cache backend without redesigning around object APIs or in-memory caching models.
Option A is incorrect because ElastiCache Memcached is an in-memory cache and is typically much more expensive for multi-terabyte cache data than file storage. Option B is incorrect because using EC2 instance store volumes creates significant management overhead and the cache would be lost whenever instances are terminated or replaced. Option D is incorrect because Amazon S3 Express One Zone is object storage, not NFS storage, and would require application redesign and additional metadata management in DynamoDB.
AWS storage guidance recommends matching file-based workloads to managed file services. For a large NFS- based cache , Amazon EFS One Zone is the most cost-effective and operationally simple solution.


問題 #492
[Design High-Performing Architectures]
A research laboratory needs to process approximately 8 TB of data The laboratory requires sub-millisecond latencies and a minimum throughput of 6 GBps for the storage subsystem Hundreds of Amazon EC2 instances that run Amazon Linux will distribute and process the data Which solution will meet the performance requirements?

答案：A

解題說明：
Create an Amazon S3 bucket to store the raw data Create an Amazon FSx for Lustre file system that uses persistent SSD storage Select the option to import data from and export data to Amazon S3 Mount the file system on the EC2 instances. Amazon FSx for Lustre uses SSD storage for sub-millisecond latencies and up to 6 GBps throughput, and can import data from and export data to Amazon S3. Additionally, the option to select persistent SSD storage will ensure that the data is stored on the disk and not lost if the file system is stopped.


問題 #493
[Design Secure Architectures]
How can a company detect and notify security teams about PII in S3 buckets?

答案：C

解題說明：
Amazon Macieis purpose-built for detecting PII in S3.
Option Auses EventBridge to filter SensitiveData findings and notify via SNS, meeting the requirements.
Options B and Dinvolve GuardDuty, which is not designed for PII detection.
Option Cuses SQS, which is less suitable for immediate notifications.


問題 #494
A company runs all its business applications in the AWS Cloud. The company uses AWS Organizations to manage multiple AWS accounts.
A solutions architect needs to review all permissions that are granted to IAM users to determine which IAM users have more permissions than required.
Which solution will meet these requirements with the LEAST administrative overhead?

答案：C

解題說明：
IAM Access Analyzeris the correct service because AWS documents that it helps identify and reviewunused accessfor IAM users and roles across AWS accounts and organizations. It can generate findings that show where permissions are broader than necessary and can recommend narrower policies when applicable.
Network Access Analyzer focuses on network reachability, not IAM over-permission. CloudWatch alarms on user activity do not analyze granted permissions, and Amazon Inspector is not the service for IAM permission- rightsizing. Since the company wants the least administrative overhead across multiple accounts managed with AWS Organizations, IAM Access Analyzer is the AWS-native service purpose-built for this kind of access review. (AWS Documentation)


問題 #495
[Design Secure Architectures]
A company has one million users that use its mobile app. The company must analyze the data usage in near-real time. The company also must encrypt the data in near-real time and must store the data in a centralized location in Apache Parquet format for further processing.
Which solution will meet these requirements with the LEAST operational overhead?

答案：D

解題說明：
This solution will meet the requirements with the least operational overhead as it uses Amazon Kinesis Data Firehose, which is a fully managed service that can automatically handle the data collection, data transformation, encryption, and data storage in near-real time. Kinesis Data Firehose can automatically store the data in Amazon S3 in Apache Parquet format for further processing. Additionally, it allows you to create an Amazon Kinesis Data Analytics application to analyze the data in near real-time, with no need to manage any infrastructure or invoke any Lambda function. This way you can process a large amount of data with the least operational overhead.


問題 #496
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