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更新するSAA-C03受験体験と有難いSAA-C03ファンデーション

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Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q415-Q420):

質問 # 415
A company runs applications on AWS that connect to the company's Amazon RDS database. The applications scale on weekends and at peak times of the year. The company wants to scale the database more effectively for its applications that connect to the database.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon DynamoDB with connection pooling with a target group configuration for the database.
Change the applications to use the DynamoDB endpoint.
B. Use a custom proxy that runs on Amazon EC2 as an intermediary to the database. Change the applications to use the custom proxy endpoint.
C. Use an AWS Lambda function to provide connection pooling with a target group configuration for the database. Change the applications to use the Lambda function.
D. Use Amazon RDS Proxy with a target group for the database. Change the applications to use the RDS Proxy endpoint.

正解：D

解説：
Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon Relational Database Service (RDS) that makes applications more scalable, more resilient to database failures, and more secure1. RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability2. RDS Proxy also reduces failover times for Aurora and RDS databases by up to 66% and enables IAM authentication and Secrets Manager integration for database access1. RDS Proxy can be enabled for most applications with no code changes2.

質問 # 416
[Design High-Performing Architectures]
A company has a serverless web application that is comprised of AWS Lambda functions. The application experiences spikes in traffic that cause increased latency because of cold starts. The company wants to improve the application's ability to handle traffic spikes and to minimize latency. The solution must optimize costs during periods when traffic is low.

A. Configure provisioned concurrency for the Lambda functions. Set a fixed concurrency level to handle the maximum expected traffic.
B. Create a recurring schedule in Amazon EventBridge Scheduler. Use the schedule to invoke the Lambda functions periodically to warm the functions.
C. Configure provisioned concurrency for the Lambda functions. Use AWS Application Auto Scaling to adjust the provisioned concurrency.
D. Launch Amazon EC2 instances in an Auto Scaling group. Add a scheduled scaling policy to launch additional EC2 instances during peak traffic periods.

正解：C

解説：
Key Requirements:
Handle traffic spikes efficiently and reduce latency caused by cold starts.
Optimize costs during low traffic periods.
Analysis of Options:
Option A:
Provisioned Concurrency:Reduces cold start latency by pre-warming Lambda environments for the required number of concurrent executions.
AWS Application Auto Scaling:Automatically adjusts provisioned concurrency based on demand, ensuring cost optimization by scaling down during low traffic.
Correct Approach:Provides a balance between performance during traffic spikes and cost optimization during idle periods.
Option B:
Using EC2 instances with Auto Scaling introduces unnecessary complexity for a serverless architecture. It requires additional management and does not address the issue of cold starts for Lambda.
Incorrect Approach:Contradicts the serverless design philosophy and increases operational overhead.
Option C:
Setting a fixed concurrency level ensures performance during spikes but does not optimize costs during low traffic. This approach would maintain provisioned instances unnecessarily.
Incorrect Approach:Lacks cost optimization.
Option D:
Using EventBridge Scheduler for periodic invocations may reduce cold starts but does not dynamically scale based on traffic demand. It also leads to unnecessary invocations during idle times.
Incorrect Approach:Suboptimal for high traffic fluctuations and cost control.
AWS Solution Architect Reference:
AWS Lambda Provisioned Concurrency
AWS Application Auto Scaling with Lambda

質問 # 417
A company has applications that run in an organization in AWS Organizations. The company outsources operational support of the applications. The company needs to provide access for the external support engineers without compromising security.
The external support engineers need access to the AWS Management Console. The external support engineers also need operating system access to the company's fleet of Amazon EC2 instances that run Amazon Linux in private subnets.
Which solution will meet these requirements MOST securely?

A. Confirm that AWS Systems Manager Agent (SSM Agent) is installed on all instances. Assign an instance profile with the necessary policy to connect to Systems Manager. Use AWS 1AM Identity Center to provide the external support engineers console access. Use Systems Manager Session Manager to assign the required permissions.
B. Create a bastion host in a public subnet. Set up the bastion host security group to allow access from only the external engineers' IP address ranges Ensure that all instances have a security group that allows SSH access from the bastion host. Provide each external support engineer an SSH key pair to log in to the application instances. Provide local account 1AM user credentials to the engineers for console access.
C. Confirm that all instances have a security group that allows SSH access only from the external support engineers source IP address ranges. Provide local 1AM user credentials in each AWS account to the external support engineers for console access. Provide each external support engineer an SSH key pair to log in to the application instances.
D. Confirm that AWS Systems Manager Agent {SSM Agent) is installed on all instances. Assign an instance profile with the necessary policy to connect to Systems Manager. Use Systems Manager Session Manager to provide local 1AM user credentials in each AWS account to the external support engineers for console access.

正解：A

解説：
This solution provides the most secure access for external support engineers with the least exposure to potential security risks.
AWS Systems Manager (SSM) and Session Manager: Systems Manager Session Manager allows secure and auditable access to EC2 instances without the need to open inbound SSH ports or manage SSH keys. This reduces the attack surface significantly. The SSM Agent must be installed and configured on all instances, and the instances must have an instance profile with the necessary IAM permissions to connect to Systems Manager.
IAM Identity Center: IAM Identity Center provides centralized management of access to the AWS Management Console for external support engineers. By using IAM Identity Center, you can control console access securely and ensure that external engineers have the appropriate permissions based on their roles.
Why Not Other Options?:
Option B (Local IAM user credentials): This approach is less secure because it involves managing local IAM user credentials and does not leverage the centralized management and security benefits of IAM Identity Center.
Option C (Security group with SSH access): Allowing SSH access opens up the infrastructure to potential security risks, even when restricted by IP addresses. It also requires managing SSH keys, which can be cumbersome and less secure.
Option D (Bastion host): While a bastion host can secure SSH access, it still requires managing SSH keys and opening ports. This approach is less secure and more operationally intensive compared to using Session Manager.
AWS Reference:
AWS Systems Manager Session Manager - Documentation on using Session Manager for secure instance access.
AWS IAM Identity Center - Overview of IAM Identity Center and its capabilities for managing user access.

質問 # 418
[Design Secure Architectures]
A company has Amazon EC2 instances in multiple AWS Regions. The instances all store and retrieve confidential data from the same Amazon S3 bucket. The company wants to improve the security of its current architecture.
The company wants to ensure that only the Amazon EC2 instances within its VPC can access the S3 bucket. The company must block all other access to the bucket.
Which solution will meet this requirement?

A. Use IAM policies to restrict access to the S3 bucket.
B. Create a VPC endpoint for Amazon S3. Configure an S3 bucket policy to allow connections only from the endpoint.
C. Use server-side encryption (SSE) to encrypt data in the S3 bucket at rest. Store the encryption key on the EC2 instances.
D. Use AWS Key Management Service (AWS KMS) with customer-managed keys to encrypt the data before sending the data to the S3 bucket.

正解：B

解説：
Creating aVPC endpointfor S3 and configuring abucket policyto allow access only from the endpoint ensures that only EC2 instances within the VPC can access the S3 bucket. This solutionimproves security by restricting access at the network level without the need for public internet access.
Option A (IAM policies): IAM policies alone cannot restrict access based on the network location.
Option B and D (Encryption): Encryption secures data at rest but does not restrict network access to the bucket.
AWS Reference:
Amazon S3 VPC Endpoints

質問 # 419
[Design Secure Architectures]
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. 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.
C. 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.
D. 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.

正解：A

解説：
Comprehensive and Detailed Step-by-Step
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.
S3 Transfer Acceleration (S3-TA)allowsfasterglobal uploads by routing traffic throughAmazon 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:
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.
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.
Option C:❌
Use AWS Snowball Edge for daily transfers.
AWS Snowballis forbulk offline transfers, notdaily high-speed internet transfers.
Why not?Unnecessary physical devices add operational overhead.
Option D:❌
Upload to EC2, store in EBS, snapshot, and restore in the destination Region.
This approach isoverly complexand notoptimized for direct S3 ingestion.
Why not?Too many steps and higher costs.

質問 # 420
......

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