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Amazon SAA-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Design Cost-Optimized Architectures | 20% | - Design cost-optimized storage solutions
- 1. EFS cost optimization
- 2. EBS volume type selection
- 3. S3 storage classes and lifecycle policies
- 4. S3 Intelligent-Tiering
- Design cost-optimized network architectures
- 1. VPC endpoints to reduce NAT costs
- 2. AWS Direct Connect for cost optimization
- 3. CloudFront to reduce origin load
- 4. Data transfer costs
- Design cost-optimized database solutions
- 1. Aurora Serverless
- 2. RDS Reserved Instances
- 3. DynamoDB capacity modes (On-demand vs Provisioned)
- 4. ElastiCache for caching
- Design cost-optimized compute solutions
- 1. Auto Scaling for cost optimization
- 2. AWS Lambda pricing model
- 3. EC2 purchasing options (On-Demand, Reserved, Spot, Savings Plans)
- 4. Right-sizing instances
|
| Topic 2: Design Secure Architectures | 30% | - Design secure access to AWS resources
- 1. IAM policies and roles
- 2. Identity federation
- 3. Multi-factor authentication (MFA)
- 4. AWS Organizations and SCPs
- Determine appropriate data security controls
- 1. Data backup and recovery
- 2. Amazon Macie and GuardDuty
- 3. Data encryption strategies
- 4. Data classification
- Design secure workloads and applications
- 1. AWS WAF and Shield
- 2. AWS KMS and CloudHSM
- 3. Encryption at rest and in transit
- 4. Security groups and NACLs
|
| Topic 3: Design Resilient Architectures | 26% | - Design highly available and/or fault-tolerant architectures
- 1. Multi-Region architectures
- 2. Multi-AZ deployments
- 3. AWS Global Accelerator
- 4. Amazon Route 53 routing policies
- 5. Disaster recovery strategies (backup/restore, pilot light, warm standby, multi-site)
- Design scalable and loosely coupled architectures
- 1. Auto Scaling groups
- 2. Amazon EventBridge
- 3. Amazon API Gateway
- 4. Elastic Load Balancing
- 5. Amazon SQS and SNS
|
| Topic 4: Design High-Performing Architectures | 24% | - Determine high-performing data ingestion and transformation solutions
- 1. AWS Data Pipeline
- 2. Amazon MSK
- 3. AWS Glue
- 4. Amazon Kinesis
- Design high-performing and elastic compute solutions
- 1. AWS Elastic Beanstalk
- 2. Amazon EC2 instance types and families
- 3. AWS Lambda
- 4. Amazon ECS and EKS
- Determine high-performing database solutions
- 1. Amazon RDS and Aurora
- 2. Amazon Redshift
- 3. Amazon ElastiCache (Redis/Memcached)
- 4. Amazon DynamoDB
- Determine high-performing and/or scalable network architectures
- 1. Amazon Route 53
- 2. Amazon CloudFront
- 3. VPC endpoints
- 4. AWS Global Accelerator
- 5. AWS Direct Connect
- Determine high-performing and/or scalable storage solutions
- 1. Amazon EBS volume types
- 2. Amazon S3 storage classes and lifecycle policies
- 3. Amazon EFS
- 4. Amazon FSx
- 5. Instance Store
|
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最新的 AWS Certified Solutions Architect SAA-C03 免費考試真題 (Q224-Q229):
問題 #224
A company has a large dataset for its online advertising business stored in an Amazon RDS for MySQL DB instance in a single Availability Zone. The company wants business reporting queries to run without impacting the write operations to the production DB instance.
Which solution meets these requirements?
- A. Deploy RDS read replicas to process the business reporting queries.
- B. Scale out the DB instance horizontally by placing it behind an Elastic Load Balancer
- C. Deploy the OB distance in multiple Availability Zones to process the business reporting queries
- D. Scale up the DB instance to a larger instance type to handle write operations and queries
答案:D
問題 #225
A solutions architect is designing a VPC with public and private subnets. The VPC and subnets use IPv4 CIDR blocks. There is one public subnet and one private subnet in each of three Availability Zones (AZs) for high availability. An internet gateway is used to provide internet access for the public subnets. The private subnets require access to the internet to allow Amazon EC2 instances to download software updates.
What should the solutions architect do to enable Internet access for the private subnets?
- A. Create a second internet gateway on one of the private subnets. Update the route table for the private subnets that forward non-VPC traffic to the private internet gateway.
- B. Create three NAT gateways, one for each public subnet in each AZ. Create a private route table for each AZ that forwards non-VPC traffic to the NAT gateway in its AZ.
- C. Create an egress-only internet gateway on one of the public subnets. Update the route table for the private subnets that forward non-VPC traffic to the egress- only internet gateway.
- D. Create three NAT instances, one for each private subnet in each AZ. Create a private route table for each AZ that forwards non-VPC traffic to the NAT instance in its AZ.
答案:B
解題說明:
https://aws.amazon.com/about-aws/whats-new/2018/03/introducing-amazon-vpc-nat-gateway-in-the-aws-govclo
https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat-comparison.html
問題 #226
A company stores its data objects in Amazon S3 Standard storage. A solutions architect has found that 75% of the data is rarely accessed after 30 days. The company needs all the data to remain immediately accessible with the same high availability and resiliency, but the company wants to minimize storage costs.
Which storage solution will meet these requirements?
- A. Move the data objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) immediately.
- B. Move the data objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days.
- C. Move the data objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 30 days.
- D. Move the data objects to S3 Glacier Deep Archive after 30 days.
答案:B
解題說明:
Move the data objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days - will meet the requirements of keeping the data immediately accessible with high availability and resiliency, while minimizing storage costs. S3 Standard-IA is designed for infrequently accessed data, and it provides a lower storage cost than S3 Standard, while still offering the same low latency, high throughput, and high durability as S3 Standard.
問題 #227
A company needs to provide customers with secure access to its data. The company processes customer data and stores the results in an Amazon S3 bucket.
All the data is subject to strong regulations and security requirements. The data must be encrypted at rest.
Each customer must be able to access only their data from their AWS account. Company employees must not be able to access the data.
Which solution will meet these requirements?
- A. Provision a separate AWS Key Management Service (AWS KMS) key for each customer. Encrypt the data server-side. In each KMS key policy, deny decryption of data for all principals except an IAM role that the customer provides.
- B. Provision a separate AWS Key Management Service (AWS KMS) key for each customer. Encrypt the data server-side. In the S3 bucket policy, deny decryption of data for all principals except an IAM role that the customer provides.
- C. Provision an AWS Certificate Manager (ACM) certificate for each customer. Encrypt the data client- side. In the private certificate policy, deny access to the certificate for all principals except an IAM role that the customer provides.
- D. Provision an AWS Certificate Manager (ACM) certificate for each customer. Encrypt the data client- side. In the public certificate policy, deny access to the certificate for all principals except an IAM role that the customer provides.
答案:A
解題說明:
The correct solution is to provision a separate AWS KMS key for each customer and encrypt the data server- side. This way, the company can use the S3 encryption feature to protect the data at rest and delegate the control of the encryption keys to the customers. The customers can then use their own IAM roles to access and decrypt their data. The company employees will not be able to access the data because they are not authorized by the KMS key policies. The other options are incorrect because:
Option A and D are using ACM certificates to encrypt the data client-side. This is not a recommended practice for S3 encryption because it adds complexity and overhead to the encryption process. Moreover, the company will have to manage the certificates and their policies for each customer, which is not scalable and secure.
Option B is using a separate KMS key for each customer, but it is using the S3 bucket policy to control the decryption access. This is not a secure solution because the bucket policy applies to the entire bucket, not to individual objects. Therefore, the customers will be able to access and decrypt each other's data if they have the permission to list the bucket contents. The bucket policy also overrides the KMS key policy, which means the company employees can access the data if they have the permission to use the KMS key.
References:
S3 encryption
KMS key policies
ACM certificates
問題 #228
Question:
A company uses Apache Hadoop and Spark on-prem. The infrastructure is complex and not scalable. They want to reduce operational complexity but keep data processing on-premises.
Options:
- A. Migrate to Amazon EMR on AWS Outposts.
- B. Use AWS Snowball to migrate data to S3. Use EMR to process.
- C. Use AWS DataSync to connect to on-prem HDFS. Use Amazon EMR to process the data.
- D. Use Site-to-Site VPN to access on-prem HDFS. Use Amazon EMR to process the data.
答案:A
解題說明:
* AWS Outposts brings native AWS services (including Amazon EMR) on-premises, ideal when data residency or latency constraints require local processing.
* You benefit from AWS's managed services while meeting the requirement to keep data processing local.
References:
Amazon EMR on AWS Outposts
問題 #229
......
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