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Amazon SAA-C03 Exam Syllabus Topics:

Section Weight Objectives
Topic 1: Design Resilient Architectures 26% - Design for reliability and recovery
  • 1. Backup and restore mechanisms
  • 2. Failover and failback processes
- Design highly available and fault-tolerant architectures
  • 1. Load balancing and auto scaling
  • 2. Regions, Availability Zones, and edge locations
  • 3. Replication and disaster recovery strategies
- Design decoupled and loosely coupled systems
  • 1. Messaging and queue services
  • 2. Serverless and managed service integration
  • 3. Event-driven architectures
Topic 2: Design Cost-Optimized Architectures 20% - Control and monitor costs
  • 1. Resource tagging and allocation
  • 2. Cost management tools and alerts
- Identify cost-effective storage solutions
  • 1. Storage classes and lifecycle policies
  • 2. Data retention and archiving
- Design cost-effective compute and network solutions
  • 1. Right-sizing and reserved instances
  • 2. Data transfer cost optimization
  • 3. Serverless and pay-as-you-go models
Topic 3: Design Secure Architectures 30% - Design for security and threat detection
  • 1. Monitoring and logging services
  • 2. Incident response and security automation
- 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)
- Design secure access to AWS resources
  • 1. Multi-account access and control
  • 2. Identity and access management (IAM, IAM Identity Center)
  • 3. Security best practices and least privilege
  • 4. Shared responsibility model
Topic 4: Design High-Performing Architectures 24% - Design high-performance storage solutions
  • 1. Storage performance and durability
  • 2. Storage types (object, block, file)
  • 3. Caching and content delivery
- Design high-performance networking solutions
  • 1. Latency reduction and throughput optimization
  • 2. Network architecture and connectivity
  • 3. Global acceleration and routing
- Design high-performance compute solutions
  • 1. Compute options (EC2, Lambda, ECS, EKS)
  • 2. Scaling and performance optimization
  • 3. Instance types and sizing

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最新的 AWS Certified Solutions Architect SAA-C03 免費考試真題 (Q288-Q293):

問題 #288
A company's developers want a secure way to gain SSH access on the company's Amazon EC2 instances that run the latest version of Amazon Linux. The developers work remotely and in the corporate office.
The company wants to use AWS services as a part of the solution. The EC2 instances are hosted in a VPC private subnet and access the internet through a NAT gateway that is deployed in a public subnet.
What should a solutions architect do to meet these requirements MOST cost-effectively?

  • A. Create an AWS Site-to-Site VPN connection between the corporate network and the VPC. Instruct the developers to use the Site-to-Site VPN connection to access the EC2 instances when the developers are on the corporate network. Instruct the developers to set up another VPN connection for access when they work remotely.
  • B. Create a bastion host in the same subnet as the EC2 instances. Grant the ec2: CreateVpnConnection IAM permission to the developers. Install EC2 Instance Connect so that the developers can connect to the EC2 instances.
  • C. Create a bastion host in the public subnet of the VPC. Configure the security groups and SSH keys of the bastion host to only allow connections and SSH authentication from the developers' corporate and remote networks. Instruct the developers to connect through the bastion host by using SSH to reach the EC2 instances.
  • D. Attach the AmazonSSMManagedlnstanceCore IAM policy to an IAM role that is associated with the EC2 instances. Instruct the developers to use AWS Systems Manager Session Manager to access the EC2 instances.

答案:D

解題說明:
AWS Systems Manager Session Manager is a service that enables you to securely connect to your EC2 instances without using SSH keys or bastion hosts. You can use Session Manager to access your instances through the AWS Management Console, the AWS CLI, or the AWS SDKs. Session Manager uses IAM policies and roles to control who can access which instances. By attaching the AmazonSSMManagedlnstanceCore IAM policy to an IAM role that is associated with the EC2 instances, you grant the Session Manager service the necessary permissions to perform actions on your instances. You also need to attachanother IAM policy to the developers' IAM users or roles that allows them to start sessions to the instances. Session Manager uses the AWS Systems Manager Agent (SSM Agent) that is installed by default on Amazon Linux 2 and other supported Linux distributions. Session Manager also encrypts all session data between your client and your instances, and streams session logs to Amazon S3, Amazon CloudWatch Logs, or both for auditing purposes. This solution is the most cost-effective, as it does not require any additional resources or services, such as bastion hosts, VPN connections, or NAT gateways. It also simplifies the security and management of SSH access, as it eliminates the need for SSH keys, port opening, or firewall rules. Reference:
What is AWS Systems Manager?
Setting up Session Manager
Getting started with Session Manager
Controlling access to Session Manager
Logging Session Manager activity


問題 #289
A company collects data for temperature, humidity, and atmospheric pressure in cities across multiple continents. The average volume of data that the company collects from each site daily is 500 GB. Each site has a high-speed internet connection.
The company wants to aggregate the data from all these global sites as quickly as possible in a single Amazon S3 bucket. The solution must minimize operational complexity.
Which solution meets these requirements?

  • A. Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.
  • B. Upload the data from each site to an Amazon EC2 instance in the closest Region. Store the data in an Amazon Elastic Block Store (Amazon EBS) volume. At regular intervals, take an EBS snapshot and copy it to the Region that contains the destination S3 bucket. Restore the EBS volume in that Region.
  • C. Schedule AWS Snowball Edge Storage Optimized device jobs daily to transfer data from each site to the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket.
  • D. Upload the data from each site to an S3 bucket in the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket. Then remove the data from the origin S3 bucket.

答案:A

解題說明:
Comprehensive and Detailed Step-by-Step Explanation:
The goal is totransfer 500 GB dailyfrom multiple global locationsquicklyintoa single S3 bucketwhile keeping operational complexity low.
Option A:#
Turn on S3 Transfer Acceleration on the destination S3 bucket. Use multipart uploads to directly upload site data to the destination S3 bucket.
* Explanation:
* S3 Transfer Acceleration (S3-TA)allowsfasterglobal uploads by routing traffic through Amazon CloudFront's globally distributed edge locations.
* Multipart uploadsimprove efficiency bybreaking large filesinto smaller parts, transferring them in parallel.
* Low operational complexity: No need for additional resources or manual replication.
* Why is this best?It ensureshigh-speed transferswhileminimizing complexity.
Reference:Amazon S3 Transfer Acceleration
Option B:#
Upload the data from each site to an S3 bucket in the closest Region. Use S3 Cross-Region Replication to copy objects to the destination S3 bucket. Then remove the data from the origin S3 bucket.
Explanation:While S3 Cross-Region Replication (CRR) can copy objects, itadds latencydue tosequential replicationrather than a directfasttransfer.
Why not?S3 Transfer Acceleration is fasterand avoidsextra steps.
Reference:Cross-Region Replication
Option C:#
Use AWS Snowball Edge for daily transfers.
Explanation:AWS Snowballis forbulk offline transfers, notdaily high-speed internet transfers.
Why not?Unnecessary physical devices add operational overhead.
Reference:AWS Snowball Edge
Option D:#
Upload to EC2, store in EBS, snapshot, and restore in the destination Region.
Explanation:This approach isoverly complexand notoptimized for direct S3 ingestion.
Why not?Too many steps and higher costs.
Reference:Amazon EBS Snapshots


問題 #290
A company is building a compute-intensive application that will run on a fleet of Amazon EC2 instances. The application uses attached Amazon EBS volumes for storing data. The EBS volumes will be created at time of initial deployment. The application will process sensitive information. All of the data must be encrypted. The solution should not impact the application's performance. Which solution will meet these requirements?

  • A. Configure the fleet of EC2 instances to use encrypted EBS volumes to store data.
  • B. Configure the application to write all data to an encrypted Amazon S3 bucket.
  • C. Configure a custom encryption algorithm for the application that will encrypt and decrypt all data.
  • D. Configure an Amazon Machine Image (AMI) that has an encrypted root volume and store the data to ephemeral disks.

答案:A

解題說明:
Amazon EBS encryption provides encryption at rest for the attached volumes that store the application data, including encryption of data volumes, boot volumes, snapshots, and data in transit between the EC2 instance and the EBS volume. It is integrated with AWS KMS and is designed to provide this protection with minimal operational effort and without requiring application-level changes that could affect performance.


問題 #291
A leading media company has recently adopted a hybrid cloud architecture which requires them to migrate their application servers and databases in AWS. One of their applications requires a heterogeneous database migration in which you need to transform your on-premises Oracle database to PostgreSQL in AWS. This entails a schema and code transformation before the proper data migration starts.
Which of the following options is the most suitable approach to migrate the database in AWS?

  • A. Use Amazon Neptune to convert the source schema and code to match that of the target database in RDS. Use the AWS Batch to effectively migrate the data from the source database to the target database in a batch process.
  • B. Configure a Launch Template that automatically converts the source schema and code to match that of the target database. Then, use the AWS Database Migration Service to migrate data from the source database to the target database.
  • C. First, use the AWS Schema Conversion Tool to convert the source schema and application code to match that of the target database, and then use the AWS Database Migration Service to migrate data from the source database to the target database.
  • D. Heterogeneous database migration is not supported in AWS. You have to transform your database first to PostgreSQL and then migrate it to RDS.

答案:C

解題說明:
AWS Database Migration Service helps you migrate databases to AWS quickly and securely. The source database remains fully operational during the migration, minimizing downtime to applications that rely on the database. The AWS Database Migration Service can migrate your data to and from most widely used commercial and open-source databases.
AWS Database Migration Service can migrate your data to and from most of the widely used commercial and open source databases. It supports homogeneous migrations such as Oracle to Oracle, as well as heterogeneous migrations between different database platforms, such as Oracle to Amazon Aurora.
Migrations can be from on-premises databases to Amazon RDS or Amazon EC2, databases running on EC2 to RDS, or vice versa, as well as from one RDS database to another RDS database. It can also move data between SQL, NoSQL, and text based targets.
In heterogeneous database migrations the source and target databases engines are different, like in the case of Oracle to Amazon Aurora, Oracle to PostgreSQL, or Microsoft SQL Server to MySQL migrations.
In this case, the schema structure, data types, and database code of source and target databases can be quite different, requiring a schema and code transformation before the data migration starts. That makes heterogeneous migrations a two step process. First use the AWS Schema Conversion Tool to convert the source schema and code to match that of the target database, and then use the AWS Database Migration Service to migrate data from the source database to the target database. All the required data type conversions will automatically be done by the AWS Database Migration Service during the migration. The source database can be located in your own premises outside of AWS, running on an Amazon EC2 instance, or it can be an Amazon RDS database. The target can be a database in Amazon EC2 or Amazon RDS.
The option that says: Configure a Launch Template that automatically converts the source schema and code to match that of the target database. Then, use the AWS Database Migration Service to migrate data from the source database to the target database is incorrect because Launch templates are primarily used in EC2 to enable you to store launch parameters so that you do not have to specify them every time you launch an instance.
The option that says: Use Amazon Neptune to convert the source schema and code to match that of the target database in RDS. Use the AWS Batch to effectively migrate the data from the source database to the target database in a batch process is incorrect because Amazon Neptune is a fully-managed graph database service and not a suitable service to use to convert the source schema. AWS Batch is not a database migration service and hence, it is not suitable to be used in this scenario. You should use the AWS Schema Conversion Tool and AWS Database Migration Service instead.
The option that says: Heterogeneous database migration is not supported in AWS. You have to transform your database first to PostgreSQL and then migrate it to RDS is incorrect because heterogeneous database migration is supported in AWS using the Database Migration Service.
References:
https://aws.amazon.com/dms/
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-launch-templates.html
https://aws.amazon.com/batch/
Check out this AWS Database Migration Service Cheat Sheet: https://tutorialsdojo.com/aws-database- migration-service/ AWS Migration Services Overview: https://www.youtube.com/watch?v=yqNBkFMnsL8


問題 #292
A company runs a multi-tier application on premises by using virtual machines (VMs). The application tiers communicate asynchronously through third-party middleware that guarantees exactly-once delivery. The company is planning to migrate the application to AWS and needs to replace the middleware solution. The solution must provide exactly-once delivery for messages from the application.
Which combination of actions will meet these requirements with the LEAST infrastructure management?
(Select TWO.)

  • A. Run containers on Amazon EKS to provide compute layers in the architecture.
  • B. Use AWS Lambda functions to provide compute layers in the architecture.
  • C. Use Amazon EC2 instances to provide compute layers in the architecture.
  • D. Use Amazon SQS FIFO queues as a messaging component between the compute layers.
  • E. Use Amazon SNS as a messaging component between the compute layers.

答案:B,D

解題說明:
The correct answers are A and D . The requirement is to replace third-party middleware with an AWS-native solution that supports asynchronous communication , exactly-once delivery , and the least infrastructure management . Amazon SQS FIFO queues are the best messaging component because FIFO queues are designed for workloads that require ordered processing and exactly-once message delivery semantics. That makes option D the correct messaging choice.
For the compute layer, AWS Lambda provides the least infrastructure management because it is a fully managed serverless compute service. Lambda removes the need to manage virtual machines, operating systems, or cluster infrastructure. It integrates naturally with queue-based asynchronous architectures and can be invoked to process messages from SQS while scaling automatically based on queue depth and workload demand. That makes option A the best choice for minimizing operational burden.
Option B is incorrect because EC2 instances would require the company to manage instance provisioning, patching, scaling, and availability. Option C is incorrect because Amazon SNS is a pub/sub messaging service and does not provide exactly-once delivery guarantees like SQS FIFO . Option E is incorrect because Amazon EKS introduces Kubernetes management overhead and is not the lowest-management compute option.
AWS best practices recommend using managed messaging and serverless compute to reduce undifferentiated operational work. For a migration that requires asynchronous processing with exactly-once delivery and minimal infrastructure management, the most appropriate architecture is AWS Lambda functions with Amazon SQS FIFO queues .


問題 #293
......

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