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| Section | Weight | Objectives |
|---|---|---|
| Security and Compliance | 18% | - Enforce security controls and compliance requirements
|
| Reliability and Business Continuity | 22% | - Design and implement high availability and fault tolerance
|
| Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Remediate issues and optimize performance
|
| Networking and Content Delivery | 18% | - Optimize and troubleshoot network connectivity and performance
|
| Deployment, Provisioning, and Automation | 20% | - Automate operational tasks and workflows
|
SOA-C03テストの質問で提供されるサービスは、非常に具体的かつ包括的なものです。まず第一に、私たちのテスト材料は多くの専門家から来ています。材料の金含有量は非常に高く、更新速度は高速です。 SOA-C03試験準備では、学習ニーズに応じていつでも最適な情報を見つけて、いつでも調整して完成させることができます。 SOA-C03学習教材は、情報を提供するだけでなく、学習とレビューのスケジュールに従って、SOA-C03学習ガイドはお客様に合わせてカスタマイズされています。
質問 # 200
A company uses memory-optimized Amazon EC2 instances behind a Network Load Balancer (NLB) to run an application. The company launched the EC2 instances from an AWS-provided Red Hat Enterprise Linux (RHEL) AMI.
A CloudOps engineer must monitor RAM utilization in 5-minute intervals. The CloudOps engineer must ensure that the EC2 instances scale in and out appropriately based on incoming load.
Which solution will meet these requirements?
正解：A
解説：
Comprehensive Explanation (250-350 words):
EC2 does not publish RAM utilization as a native CloudWatch metric by default. Memory metrics such as mem_used_percent are typically collected by the CloudWatch Agent, which runs on the instance and publishes custom metrics to CloudWatch. Because the requirement is RAM utilization at 5-minute intervals, the CloudWatch Agent can be configured to emit metrics at that cadence (or faster).
"Detailed monitoring" for EC2 mainly affects EC2-provided metrics (like CPU) by changing the period from
5 minutes (basic) to 1 minute (detailed). It does not magically provide memory utilization. Therefore, the key requirement is installing/configuring the CloudWatch Agent and ensuring it has permissions to publish metrics (via an IAM role attached to the instance / instance profile).
Option C correctly combines: (1) basic monitoring (fine for the ask), (2) CloudWatch Agent to publish mem_used_percent, (3) IAM role permissions to allow publishing, and (4) Auto Scaling policy that scales based on the memory metric.
Option B incorrectly implies detailed monitoring provides mem_used_percent (it does not). Option D assumes a "standard" memory metric exists without the agent, which is not correct. Option A references mem_active, which is not the typical metric name exposed by CloudWatch Agent's standard memory measurements for scaling policies, and also omits the IAM role requirement needed for publishing custom metrics.
Thus, C is the AWS-correct path for memory-based scaling using CloudWatch custom metrics.
質問 # 201
A company uses an organization in AWS Organizations to manage multiple AWS accounts. The company needs to send specific events from all the accounts in the organization to a new receiver account, where an AWS Lambda function will process the events.
A CloudOps engineer configures Amazon EventBridge to route events to a target event bus in the us-west-2 Region in the receiver account. The CloudOps engineer creates rules in both the sender and receiver accounts that match the specified events. The rules do not specify an account parameter in the event pattern. IAM roles are created in the sender accounts to allow PutEvents actions on the target event bus.
However, the first test events from the us-east-1 Region are not processed by the Lambda function in the receiving account.
What is the likely reason the events are not processed?
正解：C
解説：
Per the AWS Cloud Operations and EventBridge documentation, when events are sent across AWS accounts - particularly from multiple accounts in an AWS Organization - the target event bus in the receiver account must include a resource-based policy that explicitly allows events:PutEvents API calls from the sender accounts or the organization ID.
Even if the sender accounts have IAM permissions to call PutEvents, the receiving event bus must trust those accounts via a resource policy. Without this configuration, EventBridge automatically rejects incoming cross-account events, and those events never reach the target Lambda function for processing.
AWS guidance states that "Cross-account event delivery requires a resource-based policy on the event bus that grants permissions to the source accounts or organization." The policy can include either individual AWS account IDs or the organization's root ID.
In this scenario, because the events originate from multiple accounts and there is no resource policy on the target event bus to authorize those sender accounts, the events are not delivered.
Therefore, the correct cause is C - the resource-based policy on the target event bus must be modified to allow PutEvents API calls from the sender accounts.
質問 # 202
A company runs a business application on more than 300 Linux-based instances. Each instance has the AWS Systems Manager Agent (SSM Agent) installed. The company expects the number of instances to grow in the future. All business application instances have the same user-defined tag.
A CloudOps engineer wants to run a command on all the business application instances to download and install a package from a private repository. To avoid overwhelming the repository, the CloudOps engineer wants to ensure that no more than 30 downloads occur at one time.
Which solution will meet this requirement in the MOST operationally efficient way?
正解：A
解説：
AWS Systems Manager Run Command supports rate control, where you can set max concurrency (e.g., 30) and target instances by tag. This lets you run the command on all tagged instances while automatically limiting concurrent executions to 30, avoiding repository overload and scaling cleanly as the number of instances grows, without extra scripting or manual batching.
質問 # 203
A company's application consists of AWS Lambda functions that access an Amazon RDS instance. Occasionally, the application load creates an unexpectedly high volume of database connections. The high volume of connections causes the RDS instance to rapidly exhaust its compute resources, leading to downtime for users.
A CloudOps Administrator must make the application more resilient to increased load without making modifications to the application code.
Which solution will meet these requirements?
正解：C
解説：
Amazon RDS Proxy pools and reuses database connections from Lambda functions, reducing the number of direct connections to the RDS instance during traffic spikes. This helps prevent connection exhaustion and improves application resilience without requiring changes to the application's database logic.
質問 # 204
A company requires the rotation of administrative credentials for production workloads on a regular basis. A CloudOps engineer must implement this policy for an Amazon RDS DB instance's master user password.
Which solution will meet this requirement with the LEAST operational effort?
正解：B
解説：
AWS Secrets Manager natively supports credential management and automatic rotation for Amazon RDS master user passwords. When a secret is associated with an RDS instance, Secrets Manager automatically updates the password both in the secret and on the database, without downtime or manual scripting.
AWS documentation confirms:
"AWS Secrets Manager can automatically rotate the master user password for Amazon RDS databases.
Rotation is fully managed and integrated, requiring no custom code or maintenance." Option A introduces unnecessary Lambda automation. Option B and C use Parameter Store, which does not provide direct RDS password rotation. Therefore, Option D achieves secure, automatic credential rotation with least operational effort, fully aligned with CloudOps security automation principles.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 4: Security and Compliance* AWS Secrets Manager - Rotating Secrets for Amazon RDS* AWS Well-Architected Framework - Security Pillar* Amazon RDS User Guide - Managing Master User Passwords
質問 # 205
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