SOA-C03試験の準備方法｜最高のSOA-C03日本語版復習指南試験｜認定するAWS Certified CloudOps Engineer - Associate資格トレーリング

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Amazon SOA-C03 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Security and Compliance: This section measures skills of Security Engineers and includes implementing IAM policies, roles, MFA, and access controls. It focuses on troubleshooting access issues, enforcing compliance, securing data at rest and in transit using AWS KMS and ACM, protecting secrets, and applying findings from Security Hub, GuardDuty, and Inspector.
トピック 2	Deployment, Provisioning, and Automation: This section measures the skills of Cloud Engineers and covers provisioning and maintaining cloud resources using AWS CloudFormation, CDK, and third-party tools. It evaluates automation of deployments, remediation of resource issues, and managing infrastructure using Systems Manager and event-driven processes like Lambda or S3 notifications.
トピック 3	Reliability and Business Continuity: This section measures the skills of System Administrators and focuses on maintaining scalability, elasticity, and fault tolerance. It includes configuring load balancing, auto scaling, Multi-AZ deployments, implementing backup and restore strategies with AWS Backup and versioning, and ensuring disaster recovery to meet RTO and RPO goals.
トピック 4	Monitoring, Logging, Analysis, Remediation, and Performance Optimization: This section of the exam measures skills of CloudOps Engineers and covers implementing AWS monitoring tools such as CloudWatch, CloudTrail, and Prometheus. It evaluates configuring alarms, dashboards, and notifications, analyzing performance metrics, troubleshooting issues using EventBridge and Systems Manager, and applying strategies to optimize compute, storage, and database performance.
トピック 5	Networking and Content Delivery: This section measures skills of Cloud Network Engineers and focuses on VPC configuration, subnets, routing, network ACLs, and gateways. It includes optimizing network cost and performance, configuring DNS with Route 53, using CloudFront and Global Accelerator for content delivery, and troubleshooting network and hybrid connectivity using logs and monitoring tools.

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Amazon AWS Certified CloudOps Engineer - Associate 認定 SOA-C03 試験問題 (Q325-Q330):

質問 # 325
A company uses an Amazon Simple Queue Service (Amazon SQS) queue and Amazon EC2 instances in an Auto Scaling group with target tracking for a web application. The company collects the ASGAverageNetworkIn metric but notices that instances do not scale fast enough during peak traffic. There are a large number of SQS messages accumulating in the queue.
A CloudOps engineer must reduce the number of SQS messages during peak periods.
Which solution will meet this requirement?

A. Define and use step scaling by specifying a ChangeInCapacity value for the EC2 instances.
B. Define and use a new custom Amazon CloudWatch metric based on the SQS ApproximateNumberOfMessagesDelayed metric in the target tracking policy.
C. Define and use Amazon CloudWatch metric math to calculate the SQS queue backlog for each instance in the target tracking policy.
D. Define and use simple scaling by specifying a ChangeInCapacity value for the EC2 instances.

正解：C

解説：
According to the AWS Cloud Operations and Auto Scaling documentation, scaling applications that consume Amazon SQS messages should be driven by queue backlog per instance, not by general system metrics such as network traffic or CPU.
The correct approach is to calculate a custom metric using CloudWatch metric math that divides the SQS metric ApproximateNumberOfMessagesVisible by the number of active EC2 instances in the Auto Scaling group. This "backlog per instance" value represents the average number of messages waiting to be processed by each instance.
Then, the CloudOps engineer can create a target tracking policy that automatically scales out or in based on maintaining a desired backlog threshold. This approach ensures dynamic, workload-driven scaling behavior that reacts in near real time to message volume.
Step and simple scaling (Options C and D) require manual thresholds and do not automatically balance the load per instance.
Thus, Option B-using CloudWatch metric math to define queue backlog per instance for target tracking-is the most effective and AWS-recommended CloudOps practice.
Reference: AWS Cloud Operations & Scaling Guide - Scaling Based on Amazon SQS Queue Backlog Per Instance

質問 # 326
To comply with regulations, a CloudOps engineer needs to back up an Amazon EC2 Amazon Machine Image (AMI) to an Amazon S3 bucket. If the CloudOps engineer restores the AMI from the bucket in the future, the AMI must use the same AMI image ID as the original AMI.
Which solution will meet this requirement?

A. Create a copy of the AMI. Specify the destination S3 bucket. Set the launch permissions to implicit.
B. Archive the snapshot that is associated with the AMI. Specify the S3 bucket as the archive destination.
C. Create a store image task. Specify the image ID and the destination S3 bucket.
D. Use the AWS CLI copy-image command. Specify the image ID and the destination S3 bucket.

正解：C

解説：
Because this is the only AWS-supported solution that allows an AMI to be backed up to Amazon S3 and later restored while preserving the original AMI ID. This capability is essential for regulatory and compliance requirements where immutable identifiers must be retained.
According to AWS CloudOps documentation for Amazon EC2 AMI lifecycle management, the AMI store and restore feature is specifically designed for long-term retention, audit, and compliance scenarios. When an AMI is stored using a store image task, AWS packages the AMI's configuration, metadata, and associated snapshots and saves them as encrypted objects in an Amazon S3 bucket. When the AMI is restored, AWS explicitly states that the restored AMI retains the same AMI ID as the original image, ensuring continuity for compliance tracking and operational dependencies.

質問 # 327
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking, and automatic backup enabled. A CloudOps engineer needs to roll back the DB cluster to a specific recovery point within the previous 72 hours. Restores must be completed in the same production DB cluster.
Which solution will meet these requirements?

A. Create an Aurora Replica. Promote the replica to replace the primary DB instance.
B. Use point-in-time recovery to restore the existing DB cluster to the desired recovery point.
C. Use backtracking to rewind the existing DB cluster to the desired recovery point.
D. Create an AWS Lambda function to restore an automatic backup to the existing DB cluster.

正解：C

解説：
As documented in AWS Cloud Operations and Database Recovery, Aurora Backtrack allows you to rewind the existing database cluster to a chosen point in time without creating a new cluster. This feature supports fine-grained rollback for accidental data changes, making it ideal for scenarios like table deletions or logical corruption.
Backtracking maintains continuous transaction logs and permits rewinding within a configurable window (up to 72 hours). It does not require creating a new cluster or endpoint, and it preserves the same production environment, fulfilling the operational requirement for in-place recovery.
In contrast, Point-in-Time Recovery (Option D) always creates a new cluster, while replica promotion (Option A) and Lambda restoration (Option B) are unrelated to immediate rollback operations.
Therefore, Option C, using Aurora Backtrack, best meets the requirement for same-cluster restoration and minimal downtime.
Reference: AWS Cloud Operations & Database Management Guide - Section: Using Aurora Backtrack for Fast In-Place Recovery

質問 # 328
A company maintains a list of 75 approved Amazon Machine Images (AMIs) that can be used across an organization in AWS Organizations. The company's development team has been launching Amazon EC2 instances from unapproved AMIs.
A SysOps administrator must prevent users from launching EC2 instances from unapproved AMIs.
Which solution will meet this requirement?

A. Use AWS Config with an AWS Lambda function to check for EC2 instances that are launched from unapproved AMIs. Program the Lambda function to send an Amazon Simple Notification Service (Amazon SNS) message to the SysOps administrator to terminate those EC2 instances.
B. Add a tag to the approved AMIs. Create an IAM policy that includes a tag condition that allows users to launch EC2 instances from only the tagged AMIs.
C. Use AWS Trusted Advisor to check for EC2 instances that are launched from unapproved AMIs.Configure Trusted Advisor to invoke an AWS Lambda function to terminate those EC2 instances.
D. Create a service-linked role. Attach a policy that denies the ability to launch EC2 instances from a list of unapproved AMIs. Assign the role to users.

正解：B

解説：
The requirement is preventative: stop users from launching from unapproved AMIs. The most scalable approach with 75 approved AMIs is to tag all approved AMIs (for example, ApprovedAMI=true) and enforce usage through an IAM policy condition that only allows ec2:RunInstances when the ec2:ImageId resource (the AMI) includes the required tag. This avoids maintaining long allow/deny lists of AMI IDs and supports continuous updates: as new approved AMIs are created, tagging them automatically brings them under the policy without policy rewrites.

質問 # 329
A company manages a set of accounts on AWS by using AWS Organizations. The company's security team wants to use a native AWS service to regularly scan all AWS accounts against the Center for Internet Security (CIS) AWS Foundations Benchmark.
What is the MOST operationally efficient way to meet these requirements?

A. Designate a central security account as the AWS Security Hub administrator account. Create a script that sends an invitation from the Security Hub administrator account and accepts the invitation from the member account. Run the script every time a new account is created.
Configure Security Hub to run the CIS AWS Foundations Benchmark scans.
B. Designate a central security account as the Amazon GuardDuty administrator account. Create a script that sends an invitation from the GuardDuty administrator account and accepts the invitation from the member account. Run the script every time a new account is created.
Configure GuardDuty to run the CIS AWS Foundations Benchmark scans.
C. Run the CIS AWS Foundations Benchmark across all accounts by using Amazon Inspector.
D. Designate an AWS Security Hub administrator account. Configure new accounts in the organization to automatically become member accounts. Enable CIS AWS Foundations Benchmark scans.

正解：D

解説：
AWS Security Hub natively supports running the CIS AWS Foundations Benchmark across multiple accounts in an organization. By designating a central administrator account and enabling automatic account enrollment, all current and future member accounts are automatically included in Security Hub compliance checks. This approach eliminates the need for manual scripting or account invitations, providing the most operationally efficient and scalable solution.

質問 # 330
......

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