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Amazon SAA-C03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Design High-Performing Architectures | 24% | - Design high-performance networking solutions
- 1. Global acceleration and routing
- 2. Network architecture and connectivity
- 3. Latency reduction and throughput optimization
- 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 storage solutions
- 1. Caching and content delivery
- 2. Storage performance and durability
- 3. Storage types (object, block, file)
|
| Topic 2: Design Secure Architectures | 30% | - Design secure access to AWS resources
- 1. Security best practices and least privilege
- 2. Shared responsibility model
- 3. Identity and access management (IAM, IAM Identity Center)
- 4. Multi-account access and control
- Design for security and threat detection
- 1. Incident response and security automation
- 2. Monitoring and logging services
- Design secure workloads and applications
- 1. Network security (VPC, security groups, NACLs)
- 2. Compliance and governance controls
- 3. Data protection and encryption (at rest/in transit)
|
| Topic 3: Design Resilient Architectures | 26% | - Design for reliability and recovery
- 1. Backup and restore mechanisms
- 2. Failover and failback processes
- 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. Replication and disaster recovery strategies
- 2. Regions, Availability Zones, and edge locations
- 3. Load balancing and auto scaling
|
| Topic 4: Design Cost-Optimized Architectures | 20% | - Identify cost-effective storage solutions
- 1. Storage classes and lifecycle policies
- 2. Data retention and archiving
- 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. Serverless and pay-as-you-go models
- 3. Right-sizing and reserved instances
|
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Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q507-Q512):
質問 # 507
A company that primarily runs its application servers on premises has decided to migrate to AWS. The company wants to minimize its need to scale its Internet Small Computer Systems Interface (iSCSI) storage on premises. The company wants only its recently accessed data to remain stored locally.
Which AWS solution should the company use to meet these requirements?
- A. AWS Storage Gateway Volume Gateway stored volumes
- B. AWS Storage Gateway Tape Gateway
- C. Amazon S3 File Gateway
- D. AWS Storage Gateway Volume Gateway cachea volumes
正解:D
解説:
Explanation
AWS Storage Gateway Volume Gateway provides two configurations for connecting to iSCSI storage, namely, stored volumes and cached volumes. The stored volume configuration stores the entire data set on-premises and asynchronously backs up the data to AWS. The cached volume configuration stores recently accessed data on-premises, and the remaining data is stored in Amazon S3. Since the company wants only its recently accessed data to remain stored locally, the cached volume configuration would be the most appropriate. It allows the company to keep frequently accessed data on-premises and reduce the need for scaling its iSCSI storage while still providing access to all data through the AWS cloud. This configuration also provides low-latency access to frequently accessed data and cost-effective off-site backups for less frequently accessed data.
https://docs.amazonaws.cn/en_us/storagegateway/latest/vgw/StorageGatewayConcepts.html#storage-gateway-ca
質問 # 508
A data analytics company wants to migrate its batch processing system to AWS. The company receives thousands of small data files periodically during the day through FTP. A on-premises batch job processes the data files overnight. However, the batch job takes hours to finish running.
The company wants the AWS solution to process incoming data files are possible with minimal changes to the FTP clients that send the files. The solution must delete the incoming data files the files have been processed successfully. Processing for each file needs to take 3-8 minutes.
Which solution will meet these requirements in the MOST operationally efficient way?
- A. Use an Amazon EC2 instance that runs an FTP server to store incoming files as objects in Amazon S3 Glacier Flexible Retrieval. Configure a job queue in AWS Batch. Use Amazon EventBridge rules to invoke the job to process the objects nightly from S3 Glacier Flexible Retrieval. Delete the objects after the job has processed the objects.
- B. Use AWS Transfer Family to create an FTP server to store incoming files on an Amazon Elastic Block Store (Amazon EBS) volume. Configure a job queue in AWS Batch. Use an Amazon S3 event notification when each files arrives to invoke the job in AWS Batch. Delete the files after the job has processed the files.
- C. Use AWS Transfer Family to create an FTP server to store incoming files in Amazon S3 Standard.
Create an AWS Lambda function to process the files and to delete the files after they are proessed.yse an S3 event notification to invoke the lambda function when the fils arrive - D. Use an Amazon EC2 instance that runs an FTP server to store incoming files on an Amazon Elastic Block Store (Amazon EBS) volume. Configure a job queue in AWS Batch. Use Amazon EventBridge rules to invoke the process the files nightly from the EBS volume. Delete the files after the job has processed the files.
正解:B
質問 # 509
A company runs a three-tier web application in a VPC across multiple Availability Zones. Amazon EC2 instances run in an Auto Scaling group for the application tier.
The company needs to make an automated scaling plan that will analyze each resource's daily and weekly historical workload trends. The configuration must scale resources appropriately according to both the forecast and live changes in utilization.
Which scaling strategy should a solutions architect recommend to meet these requirements?
- A. Implement dynamic scaling with step scaling based on average CPU utilization from the EC2 instances.
- B. Create an automated scheduled scaling action based on the traffic patterns of the web application.
- C. Enable predictive scaling to forecast and scale. Configure dynamic scaling with target tracking.
- D. Set up a simple scaling policy. Increase the cooldown period based on the EC2 instance startup time
正解:C
解説:
This solution meets the requirements because it allows the company to use both predictive scaling and dynamic scaling to optimize the capacity of its Auto Scaling group. Predictive scaling uses machine learning to analyze historical data and forecast future traffic patterns. It then adjusts the desired capacity of the group in advance of the predicted changes. Dynamic scaling uses target tracking to maintain a specified metric (such as CPU utilization) at a target value. It scales the group in or out as needed to keep the metric close to the target. By using both scaling methods, the company can benefit from faster, simpler, and more accurate scaling that responds to both forecasted and live changes in utilization.
References:
* Predictive scaling for Amazon EC2 Auto Scaling
* [Target tracking scaling policies for Amazon EC2 Auto Scaling]
質問 # 510
A company is using an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. The company must ensure that Kubernetes service accounts in the EKS cluster have secure and granular access to specific AWS resources by using IAM roles for service accounts (IRSA).
Which combination of solutions will meet these requirements? (Select TWO.)
- A. Define an IAM role that includes the necessary permissions. Annotate the Kubernetes service accounts with the Amazon Resource Name (ARN) of the IAM role.
- B. Set up a trust relationship between the IAM roles for the service accounts and an OpenID Connect (OIDC) identity provider.
- C. Create an IAM policy that defines the required permissions. Attach the policy directly to the IAM role of the EKS nodes.
- D. Modify the EKS cluster's IAM role to include permissions for each Kubernetes service account. Ensure a one-to-one mapping between IAM roles and Kubernetes roles.
- E. Implement network policies within the EKS cluster to prevent Kubernetes service accounts from accessing specific AWS services.
正解:A、B
解説:
IAM Roles for Service Accounts (IRSA): IRSA allows you to associate an IAM role with a Kubernetes service account. This enables pods to assume the IAM role and access AWS resources securely.
Annotating Service Accounts: By annotating Kubernetes service accounts with the ARN of the IAM role, you establish the association required for IRSA.
OIDC Identity Provider: EKS clusters use OpenID Connect (OIDC) to authenticate service accounts. Setting up a trust relationship between the IAM role and the OIDC provider allows the Kubernetes service account to assume the IAM role.
質問 # 511
A company hosts its application in the AWS Cloud. The application runs on Amazon EC2 instances behind an Elastic Load Balancer in an Auto Scaling group and with an Amazon DynamoDB table. The 'company wants to ensure the application can be made available in another AWS Region with minimal downtime.
What should a solutions architect do to meet these requirements with the LEAST amount of downtime?
- A. Create an Auto Scaling group and a load balancer in the disaster recovery Region. Configure the DynamoDB table as a global table. Configure DNS failover to point to the new disaster recovery Region's load balancer.
- B. Create an AWS CloudFormation template to create EC2 instances and a load balancer to be launched when needed. Configure the DynamoDB table as a global table. Configure DNS failover to point to the new disaster recovery Region's load balancer.
- C. Create an Auto Scaling group and load balancer in the disaster recovery Region. Configure the DynamoDB table as a global table. Create an Amazon CloudWatch alarm to trigger an AWS Lambda function that updates Amazon Route 53 pointing to the disaster recovery load balancer.
- D. Create an AWS CloudFormation template to create EC2 instances, load balancers, and DynamoDB tables to be launched when needed. Configure DNS failover to point to the new disaster recovery Region's load balancer.
正解:A
解説:
Explanation
This answer is correct because it meets the requirements of securely migrating the existing data to AWS and satisfying the new regulation. AWS DataSync is a service that makes it easy to move large amounts of data online between on-premises storage and Amazon S3. DataSync automatically encrypts data in transit and verifies data integrity during transfer. AWS CloudTrail is a service that records AWS API calls for your account and delivers log files to Amazon S3. CloudTrail can log data events, which show the resource operations performed on or within a resource in your AWS account, such as S3 object-level API activity. By using CloudTrail to log data events, you can audit access at all levels of the stored data.
References:
* https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html
* https://docs.aws.amazon.com/awscloudtrail/latest/userguide/logging-data-events-with-cloudtrail.html
質問 # 512
......
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