SOA-C03問題集、SOA-C03合格記

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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
  • 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 3
  • 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 4
  • 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.
トピック 5
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate 認定 SOA-C03 試験問題 (Q213-Q218):

質問 # 213
A CloudOps engineer is using AWS Compute Optimizer to generate recommendations for a fleet of Amazon EC2 instances. Some of the instances use newly released instance types, while other instances use older instance types.
After the analysis is complete, the CloudOps engineer notices that some of the EC2 instances are missing from the Compute Optimizer dashboard.
What is the likely cause of this issue?

正解：B

解説：
According to the AWS Cloud Operations and Compute Optimizer documentation, Compute Optimizer provides right-sizing recommendations by analyzing Amazon CloudWatch metrics and instance configuration data. However, AWS explicitly notes that only supported instance types are included in Compute Optimizer analyses. If an EC2 instance type is newly released or not yet supported by Compute Optimizer, it will not appear in the Compute Optimizer dashboard until official support is added.
The documentation explains that "Compute Optimizer analyses only supported resource types and instance families. Instances using unsupported or newly launched instance types will not appear in the Compute Optimizer console." This ensures the service provides accurate recommendations based on sufficient performance history and benchmark data.
While CloudWatch metrics are required for analysis, the complete absence of instances from the dashboard - rather than "insufficient metric data" notifications - indicates unsupported instance types. Compute Optimizer would normally still display those with limited metrics but would flag them as "insufficient data," not remove them entirely.
Therefore, the most accurate cause of missing instances in this case is that Compute Optimizer does not support the newly released instance types, making option B correct.


質問 # 214
A company uses a large number of Linux-based Amazon EC2 instances to run business operations. The company uses AWS Systems Manager to manage the EC2 instances. The company wants to ensure that the Systems Manager Agent (SSM Agent) is always up to date with the latest version.
Which solution will meet this requirement in the MOST operationally efficient way?

正解：B

解説：
Comprehensive Explanation (250-350 words):
AWS Systems Manager provides a built-in capability to automatically update the SSM Agent on managed instances. Enabling Auto update SSM Agent ensures that instances receive the latest agent version without manual intervention or custom automation.
This setting is centrally managed and applies across the fleet, making it the most scalable and operationally efficient solution. It eliminates the need for external notifications, custom Lambda functions, or scheduled automation workflows.
Options B and D introduce unnecessary complexity and operational burden. Option C is incorrect because Patch Manager is designed for operating system patching, not for managing SSM Agent updates.
Therefore, enabling automatic SSM Agent updates is the best solution.


質問 # 215
A company needs to copy an Amazon Aurora database from one AWS account to a second account that uses a second AWS Region. A CloudOps engineer must automate this process to occur every day. Which solution will meet these requirements with the LEAST operational overhead?

正解：D

解説：
AWS Backup provides managed backup plans and supports cross-account and cross-Region backup copy workflows for supported AWS resources, including database backup scenarios. This is the least operationally intensive approach because scheduling, retention, copy operations, and monitoring are handled by AWS Backup instead of custom scripts. Option B can work but requires Lambda code, credentials, retries, error handling, and maintenance. Option C exports data to S3 and then replicates files, which is not the same as a managed Aurora backup copy and adds unnecessary complexity. AWS Application Migration Service is intended for server migration and lift-and-shift replication, not daily Aurora database backup copying. Therefore, an AWS Backup plan with the second account and second Region as the destination best matches automated disaster recovery and operational efficiency.


質問 # 216
A CloudOps engineer created a VPC with a private subnet, a security group allowing all outbound traffic, and an endpoint for EC2 Instance Connect in the private subnet. The EC2 instance was launched without an SSH key pair, using the same subnet and security group. However, the engineer cannot connect via EC2 Instance Connect endpoint.
How can the CloudOps engineer connect to the instance?

正解：B

解説：
According to the AWS Cloud Operations and EC2 Connectivity documentation, EC2 Instance Connect Endpoint allows access to instances without internet exposure or open SSH ports. However, for successful connectivity, the EC2 instance must have Systems Manager permissions through an IAM instance profile.
If no IAM instance profile is attached, the instance cannot establish a control channel with the Systems Manager service, and EC2 Instance Connect cannot authenticate the session.
Opening port 22 (Option B) is unnecessary and contradicts the private subnet design. HTTPS rules (Option A) are irrelevant because EC2 Instance Connect communicates through AWS APIs, not direct HTTPS connections. Recreating the instance with a key pair (Option D) bypasses the intended keyless connection mechanism.
Therefore, Option C - attaching an IAM instance profile with Systems Manager permissions - enables secure, private access through EC2 Instance Connect Endpoint.


質問 # 217
An ecommerce company runs a microservices application on Amazon ECS. Customers sometimes experience high latency when the customers attempt to complete a purchase through the application.
A CloudOps engineer needs a solution to track individual transactions across multiple services to identify where latency is occurring. The solution must require minimal code changes and must provide a visual representation of service dependencies.
Which solution will meet these requirements?

正解：A

解説：
AWS X-Ray provides distributed tracing across microservices, allowing individual requests to be followed as they move between services. Running the X-Ray daemon as a sidecar and instrumenting the application with the X-Ray SDK requires relatively small code changes, while the X-Ray service map visually displays service dependencies and helps pinpoint where transaction latency occurs.


質問 # 218
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誰もが良い仕事とまともな収入を望んでいます。 しかし、彼らが優れた能力と優れた主要な知識を持っていない場合、彼らはまともな仕事を見つけるのは難しいです。 AmazonテストSOA-C03認定に合格すると、夢を実現し、満足のいく仕事を見つけることができます。 SOA-C03学習教材は、SOA-C03のAWS Certified CloudOps Engineer - Associate試験に簡単に合格するのに役立つ優れたツールです。 時間をかけて学習する必要はありません。 SOA-C03試験ガイドは高品質であり、当社Amazonの製品を使用する場合、SOA-C03試験に合格する可能性は99％〜100％と非常に高くなっています。

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