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Amazon SAA-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Design High-Performing Architectures | 24% | - Determine high-performing and/or scalable network architectures
- 1. Amazon CloudFront
- 2. Amazon Route 53
- 3. AWS Global Accelerator
- 4. VPC endpoints
- 5. AWS Direct Connect
- Design high-performing and elastic compute solutions
- 1. Amazon ECS and EKS
- 2. AWS Elastic Beanstalk
- 3. AWS Lambda
- 4. Amazon EC2 instance types and families
- Determine high-performing database solutions
- 1. Amazon ElastiCache (Redis/Memcached)
- 2. Amazon RDS and Aurora
- 3. Amazon Redshift
- 4. Amazon DynamoDB
- Determine high-performing and/or scalable storage solutions
- 1. Amazon S3 storage classes and lifecycle policies
- 2. Amazon FSx
- 3. Instance Store
- 4. Amazon EFS
- 5. Amazon EBS volume types
- Determine high-performing data ingestion and transformation solutions
- 1. AWS Glue
- 2. AWS Data Pipeline
- 3. Amazon Kinesis
- 4. Amazon MSK
|
| Design Resilient Architectures | 26% | - Design scalable and loosely coupled architectures
- 1. Amazon SQS and SNS
- 2. Auto Scaling groups
- 3. Elastic Load Balancing
- 4. Amazon EventBridge
- 5. Amazon API Gateway
- Design highly available and/or fault-tolerant architectures
- 1. Multi-AZ deployments
- 2. AWS Global Accelerator
- 3. Amazon Route 53 routing policies
- 4. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
- 5. Multi-Region architectures
|
| Design Secure Architectures | 30% | - Determine appropriate data security controls
- 1. Amazon Macie and GuardDuty
- 2. Data classification
- 3. Data backup and recovery
- 4. Data encryption strategies
- Design secure workloads and applications
- 1. Encryption at rest and in transit
- 2. AWS WAF and Shield
- 3. AWS KMS and CloudHSM
- 4. Security groups and NACLs
- Design secure access to AWS resources
- 1. IAM policies and roles
- 2. Multi-factor authentication (MFA)
- 3. AWS Organizations and SCPs
- 4. Identity federation
|
| Design Cost-Optimized Architectures | 20% | - Design cost-optimized compute solutions
- 1. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- 2. Right-sizing instances
- 3. AWS Lambda pricing model
- 4. Auto Scaling for cost optimization
- Design cost-optimized database solutions
- 1. ElastiCache for caching
- 2. RDS Reserved Instances
- 3. Aurora Serverless
- 4. DynamoDB capacity modes (On-demand vs Provisioned)
- 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 network architectures
- 1. AWS Direct Connect for cost optimization
- 2. VPC endpoints to reduce NAT costs
- 3. CloudFront to reduce origin load
- 4. Data transfer costs
|
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最新的 AWS Certified Solutions Architect SAA-C03 免費考試真題 (Q550-Q555):
問題 #550
[Design High-Performing Architectures]
A company runs HPC workloads requiring high IOPS.
Which combination of steps will meet these requirements? (Select TWO)
- A. Use Amazon FSx for Lustre as a high-performance file system.
- B. Use Mountpoint for Amazon S3 as a high-performance file system.
- C. Use Amazon EFS as a high-performance file system.
- D. Create an Auto Scaling group of EC2 instances. Use Reserved Instances. Configure a spread placement group. Use AWS Batch for analytics.
- E. Create an Auto Scaling group of EC2 instances. Use mixed instance types and a cluster placement group. Use Amazon EMR for analytics.
答案:A,E
解題說明:
Option B: FSx for Lustre is designed for HPC workloads with high IOPS.
Option E: A cluster placement group ensures low-latency networking for HPC analytics workloads.
Option A: Amazon EFS is not optimized for HPC.
Option D: Mountpoint for S3 does not meet high IOPS needs.
問題 #551
A company has a custom application with embedded credentials that retrieves information from an Amazon RDS MySQL DB instance. Management says the application must be made more secure with the least amount of programming effort.
What should a solutions architect do to meet these requirements?
- A. Use AWS Key Management Service (AWS KMS) customer master keys (CMKs) to create keys. Configure the application to load the database credentials from AWS KMS. Enable automatic key rotation.
- B. Create credentials on the RDS for MySQL database for the application user and store the credentials in AWS Secrets Manager. Configure the application to load the database credentials from Secrets Manager. Create an AWS Lambda function that rotates the credentials in Secret Manager.
- C. Create credentials on the RDS for MySQL database for the application user and store the credentials in AWS Secrets Manager. Configure the application to load the database credentials from Secrets Manager. Set up a credentials rotation schedule for the application user in the RDS for MySQL database using Secrets Manager.
- D. Create credentials on the RDS for MySQL database for the application user and store the credentials in AWS Systems Manager Parameter Store. Configure the application to load the database credentials from Parameter Store. Set up a credentials rotation schedule for the application user in the RDS for MySQL database using Parameter Store.
答案:B
問題 #552
A company needs to accommodate traffic for a web application that the company hosts on AWS, especially during peak usage hours.
The application uses Amazon EC2 instances as web servers, an Amazon RDS DB instance for database operations, and an Amazon S3 bucket to store transaction documents. The application struggles to scale effectively and experiences performance issues.
The company wants to improve the scalability of the application and prevent future performance issues. The company also wants to improve global access speeds to the transaction documents for the company's global users.
Which solution will meet these requirements?
- A. Convert the application architecture to use Amazon Elastic Container Service (Amazon ECS) containers. Configure a Multi-AZ deployment of Amazon RDS to support database operations.Replicate the transaction documents that are in the S3 bucket across multiple AWS Regions.
- B. Place the EC2 instances in Auto Scaling groups to scale appropriately during peak usage hours. Use Amazon RDS read replicas to improve database read performance. Deploy an Amazon CloudFront distribution that uses Amazon S3 as the origin.
- C. Increase the size of the EC2 instances to provide more compute capacity. Use Amazon ElastiCache to reduce database read loads. Use AWS Global Accelerator to optimize the delivery of the transaction documents that are in the S3 bucket.
- D. Transition workloads from the EC2 instances to AWS Lambda functions to scale in response to the usage peaks. Migrate the database to an Amazon Aurora global database to provide cross-Region reads.
Use AWS Global Accelerator to deliver the transaction documents that are in the S3 bucket.
答案:B
解題說明:
This question centers on improving scalability and global access performance.
Auto Scaling groups enable EC2 instances to scale dynamically in response to demand, ensuring availability during peak hours without manual intervention. Amazon RDS read replicas offload read traffic, improving read throughput and reducing latency on the primary database instance. Deploying Amazon CloudFront with S3 as origin accelerates delivery of static transaction documents globally by caching content at edge locations, reducing latency for users worldwide.
Option B focuses on vertical scaling (larger instances) and caching with ElastiCache, but it does not address global content delivery optimally. AWS Global Accelerator accelerates network traffic but is better suited for accelerating TCP and UDP traffic; CloudFront is generally preferred for HTTP content delivery.
Option C migrates workloads to Lambda and Aurora global databases, which is an advanced and potentially costly redesign that may not be necessary. Option D suggests moving to ECS and multi-AZ RDS but does not address global content delivery efficiently.
Therefore, option A uses proven scalability and caching best practices aligned with AWS Well-Architected Framework pillars for performance and operational excellence.
References:
AWS Well-Architected Framework - Performance Efficiency Pillar (https://d1.awsstatic.com/whitepapers
/architecture/AWS_Well-Architected_Framework.pdf)
Amazon EC2 Auto Scaling (https://docs.aws.amazon.com/autoscaling/ec2/userguide/what-is-amazon-ec2- auto-scaling.html) Amazon RDS Read Replicas (https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.
html)
Amazon CloudFront Overview (https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide
/Introduction.html)
問題 #553
[Design Secure Architectures]
A company is using a SQL database to store movie data that is publicly accessible. The database runs on an Amazon RDS Single-AZ DB instance A script runs queries at random intervals each day to record the number of new movies that have been added to the database. The script must report a final total during business hours The company's development team notices that the database performance is inadequate for development tasks when the script is running. A solutions architect must recommend a solution to resolve this issue. Which solution will meet this requirement with the LEAST operational overhead?
- A. Modify the DB instance to be a Multi-AZ deployment
- B. Instruct the development team to manually export the entries in the database at the end of each day
- C. Use Amazon ElastiCache to cache the common queries that the script runs against the database
- D. Create a read replica of the database Configure the script to query only the read replica
答案:D
問題 #554
A company is running a batch application on Amazon EC2 instances. The application consists of a backend with multiple Amazon RDS databases. The application is causing a high number of leads on the databases. A solutions architect must reduce the number of database reads while ensuring high availability.
What should the solutions architect do to meet this requirement?
- A. Add Amazon RDS read replicas
- B. Use Amazon Route 53 DNS caching
- C. Use Amazon ElastiCache for Memcached
- D. Use Amazon ElastCache for Redis
答案:A
解題說明:
This solution meets the requirement of reducing the number of database reads while ensuring high availability for a batch application that consists of a backend with multiple Amazon RDS databases. Amazon RDS read replicas are copies of the primary database instance that can serve read-only traffic. You can create one or more read replicas for a primary database instance and connect to them using a special endpoint. Read replicas can improve the performance and availability of your application by offloading read queries from the primary database instance.
Option B is incorrect because using Amazon ElastiCache for Redis can provide a fast, in-memory data store that can cache frequently accessed data, but it does not support replication from Amazon RDS databases. Option C is incorrect because using Amazon Route 53 DNS caching can improve the performance and availability of DNS queries, but it does not reduce the number of database reads. Option D is incorrect because using Amazon ElastiCache for Memcached can provide a fast, in-memory data store that can cache frequently accessed data, but it does not support replication from Amazon RDS databases.
Reference:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html
問題 #555
......
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