SAA-C03参考書、SAA-C03受験対策解説集

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Amazon SAA-C03 Exam Syllabus Topics:

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

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SAA-C03受験対策解説集、SAA-C03教育資料

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Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q667-Q672):

質問 # 667
[Design Resilient Architectures]
A company runs an internal browser-based application The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. The Auto Scaling group scales up to 20 instances during work hours but scales down to 2 instances overnight Staff are complaining that the application is very slow when the day begins although it runs well by mid-morning.
How should the scaling be changed to address the staff complaints and keep costs to a minimum'?

A. Implement a target tracking action triggered at a lower CPU threshold, and decrease the cooldown period.
B. Implement a scheduled action that sets the desired capacity to 20 shortly before the office opens
C. Implement a step scaling action triggered at a lower CPU threshold, and decrease the cooldown period.
D. Implement a scheduled action that sets the minimum and maximum capacity to 20 shortly before the office opens

正解：A

解説：
This option will scale up capacity faster in the morning to improve performance, but will still allow capacity to scale down during off hours. It achieves this as follows: * A target tracking action scales based on a CPU utilization target. By triggering at a lower CPU threshold in the morning, the Auto Scaling group will start scaling up sooner as traffic ramps up, launching instances before utilization gets too high and impacts performance. * Decreasing the cooldown period allows Auto Scaling to scale more aggressively, launching more instances faster until the target is reached. This speeds up the ramp-up of capacity. * However, unlike a scheduled action to set a fixed minimum/maximum capacity, with target tracking the group can still scale down during off hours based on demand. This helps minimize costs.

質問 # 668
A company wants to restrict access to the content of one of its man web applications and to protect the content by using authorization techniques available on AWS. The company wants to implement a serverless architecture end an authentication solution for fewer tian 100 users. The solution needs to integrate with the main web application and serve web content globally. The solution must also scale as to company's user base grows while providing lowest login latency possible.

A. Use AWS Directory Service for Microsoft Active Directory tor authentication Use AWS Lambda for authorization Use an Application Load Balancer to serve the web application globally
B. Use AWS Directory Service for Microsoft Active Directory for authentication Use Lambda@Edge for authorization Use AWS Elastic Beanstalk to serve the web application.
C. Use Amazon Cognito tor authentication. Use Lambda#Edge tor authorization Use Amazon CloudFront
10 serve the web application globally
D. Usa Amazon Cognito for authentication Use AWS Lambda tor authorization Use Amazon S3 Transfer Acceleration 10 serve the web application globally.

正解：C

解説：
Explanation
https://aws.amazon.com/blogs/networking-and-content-delivery/adding-http-security-headers-using-lambdaedge Amazon CloudFront is a global content delivery network (CDN) service that can securely deliver web content, videos, and APIs at scale. It integrates with Cognito for authentication and with Lambda@Edge for authorization, making it an ideal choice for serving web content globally. Lambda@Edge is a service that lets you run AWS Lambda functions globally closer to users, providing lower latency and faster response times. It can also handle authorization logic at the edge to secure content in CloudFront. For this scenario, Lambda@Edge can provide authorization for the web application while leveraging the low-latency benefit of running at the edge.

質問 # 669
A company is designing a microservice-based architecture tor a new application on AWS. Each microservice will run on its own set of Amazon EC2 instances. Each microservice will need to interact with multiple AWS services such as Amazon S3 and Amazon Simple Queue Service (Amazon SQS). The company wants to manage permissions for each EC2 instance based on the principle of least privilege. Which solution will meet this requirement?

A. Create individual IAM roles based on the specific needs of each microservice. Associate the IAM roles with the appropriate EC2 instances.
B. Assign an IAM user to each micro-service. Use access keys stored within the application code to authenticate AWS service requests.
C. Create a single IAM role that has permission to access all AWS services. Associate the IAM role with all EC2 instances that run the microservices
D. Use AWS Organizations to create a separate account for each microservice. Manage permissions at the account level.

正解：A

解説：
When designing a microservice architecture where each microservice interacts with different AWS services, it's essential to follow the principle of least privilege. This means granting each microservice only the permissions it needs to perform its tasks, reducing the risk of unauthorized access or accidental actions.
The recommended approach is to create individualIAM roleswith policies that grant each microservice the specific permissions it requires. Then, these roles should be associated with the EC2 instances that run the corresponding microservice. By doing so, each EC2 instance will assume its specific IAM role, and permissions will be automatically managed by AWS.
IAM roles provide temporary credentials via the instance metadata service, eliminating the need to hard-code credentials in your application code, which enhances security.

質問 # 670
A company is expecting rapid growth in the near future. A solutions architect needs to configure existing users and grant permissions to new users on AWS. The solutions architect has decided to create 1AM groups. The solutions architect will add the new users to 1AM groups based on department.
Which additional action is the MOST secure way to grant permissions to the new users?

A. Create IAM roles that have least privilege permission. Attach the roles to the 1AM groups.
B. Apply service control policies (SCPs) to manage access permissions.
C. Create an IAM policy that grants least privilege permission. Attach the policy to the 1AM groups.
D. Create 1AM roles. Associate the roles with a permissions boundary that defines the maximum permissions.

正解：C

解説：
An IAM policy is a document that defines the permissions for an IAM identity (such as a user, group, or role). You can use IAM policies to grant permissions to existing users and groups based on department. You can create an IAM policy that grants least privilege permission, which means that you only grant the minimum permissions required for the users to perform their tasks. You can then attach the policy to the IAM groups, which will apply the policy to all the users in those groups. This solution will reduce operational costs and simplify configuration and management of permissions. Reference: https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html

質問 # 671
A gaming company is developing a game that requires significant compute resources to process game logic, player interactions, and real-time updates. The company needs a compute solution that can dynamically scale based on fluctuating player demand while maintaining high performance. The company must use a relational database that can run complex queries.

A. Refactor the game logic into small, stateless functions. Use AWS Lambda to process the game logic.
Use Amazon DynamoDB as the database.
B. Deploy an Amazon Elastic Container Service (Amazon ECS) cluster on AWS Fargate to supply compute capacity. Scale the ECS tasks based on player demand. Use Amazon Aurora Serverless v2 as the database.
C. Deploy Amazon EC2 instances to supply compute capacity. Configure Auto Scaling groups to achieve dynamic scaling based on player count. Use Amazon RDS for MySQL as the database.
D. Use AWS ParallelCluster for high performance computing (HPC). Provision compute nodes that have GPU instances to process the game logic and player interactions. Use Amazon RDS for MySQL as the database.

正解：B

解説：
Amazon ECS with AWS Fargate provides serverless container compute that can scale tasks dynamically in response to demand. This matches the unpredictable scaling requirements of a gaming workload. Aurora Serverless v2 provides on-demand, autoscaling relational database capacity while supporting complex SQL queries. EC2 with Auto Scaling (A) works but requires significant management overhead. Lambda with DynamoDB (B) is not suitable because the workload requires a relational database and long-running processes. ParallelCluster with HPC (D) is designed for batch scientific workloads, not dynamic, interactive gaming. Option C provides the correct balance of elasticity, performance, and managed services for both compute and relational database needs.
References:* Amazon ECS User Guide - Scaling ECS tasks with Fargate* Amazon Aurora User Guide - Aurora Serverless v2 for dynamic workloads

質問 # 672
......

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