Amazon SOA-C03無料問題、SOA-C03資格試験
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Amazon SOA-C03 認定試験の出題範囲:
| トピック | 出題範囲 |
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| トピック 1 |
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| トピック 2 |
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| トピック 3 |
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| トピック 4 |
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| トピック 5 |
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Amazon SOA-C03資格試験、SOA-C03真実試験
AmazonのSOA-C03試験クイズを選択するのは賢明な決定です。この決定は将来の開発に大きな影響を与える可能性があるためです。 証明書を持っていることは、あなたが常に夢見ていたことかもしれません。 SOA-C03試験問題は、Topexam質の高いサービスを提供し、証明書の取得に役立ちます。 当社のSOA-C03学習教材は、長年の実践的な努力の後に作成されており、そのAWS Certified CloudOps Engineer - Associate品質は実践テストに耐えることができます。 そして、あなたはSOA-C03学習ガイドのためだけにSOA-C03認定を取得します。
Amazon AWS Certified CloudOps Engineer - Associate 認定 SOA-C03 試験問題 (Q25-Q30):
質問 # 25
A company uses AWS Organizations to manage multiple AWS accounts. A CloudOps engineer must identify all IPv4 ports open to 0.0.0.0/0 across the organization's accounts.
Which solution will meet this requirement with the LEAST operational effort?
- A. Use the AWS CLI to print all security group rules for review.
- B. Create an AWS Lambda function to gather security group rules from all accounts. Aggregate the findings in an Amazon S3 bucket.
- C. Enable Amazon Inspector in each account. Run an automated workload discovery job.
- D. Review AWS Trusted Advisor findings in an organizational view for the Security Groups - Specific Ports Unrestricted check.
正解:D
解説:
According to AWS Cloud Operations and Governance documentation, AWS Trusted Advisor provides automated checks for security group rules across all accounts, including identifying ports open to 0.0.0.0/0.
When viewed in organizational mode, Trusted Advisor integrates with AWS Organizations, allowing administrators to access organization-wide security findings from a central management account. This approach requires no custom code, additional infrastructure, or manual inspection, providing immediate visibility and the lowest operational overhead.
AWS CLI scripts (Option A) or Lambda automation (Option C) introduce additional maintenance, and Amazon Inspector (Option D) is focused on instance-level vulnerabilities, not network access rules.
Therefore, Option B is the AWS-recommended CloudOps best practice for centralized and low-effort open- port auditing.
Reference: AWS Cloud Operations & Governance Guide - Using Trusted Advisor Organizational View for Security Group Port Checks
質問 # 26
A company runs a web application on three Amazon EC2 instances behind an Application Load Balancer (ALB). The company notices that random periods of increased traffic cause a degradation in the application's performance.
A CloudOps engineer must scale the application to meet the increased traffic.
Which solution meets these requirements?
- A. Deploy the application to an Auto Scaling group of EC2 instances with a target tracking scaling policy.
Attach the ALB to the Auto Scaling group. - B. Create an Amazon CloudWatch alarm to monitor application latency and increase the size of each EC2 instance if the desired threshold is reached.
- C. Deploy the application to an Auto Scaling group of EC2 instances with a scheduled scaling policy.Attach the ALB to the Auto Scaling group.
- D. Create an Amazon EventBridge rule to monitor application latency and add an EC2 instance to the ALB if the desired threshold is reached.
正解:A
解説:
Auto Scaling groups with target tracking scaling policies automatically adjust capacity based on real-time demand. This solution is ideal for handling unpredictable and random traffic spikes.
Target tracking scaling maintains a metric, such as average CPU utilization or request count per target, at a defined target value. The Auto Scaling group automatically launches or terminates instances as traffic fluctuates.
Manual scaling, EventBridge-based scaling, or scheduled scaling do not respond dynamically to random traffic patterns.
Therefore, an Auto Scaling group with a target tracking scaling policy is the correct solution.
質問 # 27
A company runs an application that logs user data to an Amazon CloudWatch Logs log group. The company discovers that personal information the application has logged is visible in plain text in the CloudWatch logs.
The company needs a solution to redact personal information in the logs by default. Unredacted information must be available only to the company's security team. Which solution will meet these requirements?
- A. Create an Amazon CloudWatch data protection policy for the application log group. Configure data identifiers for the types of personal information that the application logs. Ensure that the security team has permission to call the unmask API operation on the application log group.
- B. Create a customer managed AWS KMS key. Configure the KMS key policy to allow only the security team to perform decrypt operations. Associate the KMS key with the application log group.
- C. Create an OpenSearch domain. Create an AWS Glue workflow that runs a Detect PII transform job and streams the output to the OpenSearch domain. Configure the CloudWatch log group to stream the logs to AWS Glue. Modify the OpenSearch domain access policy to allow only the security team to access the domain.
- D. Create an Amazon S3 bucket. Create an export task from appropriate log groups in CloudWatch. Export the logs to the S3 bucket. Configure an Amazon Macie scan to discover personal data in the S3 bucket.
Invoke an AWS Lambda function to move identified personal data to a second S3 bucket. Update the S3 bucket policies to grant only the security team access to both buckets.
正解:A
解説:
CloudWatch Logs data protection provides native redaction/masking of sensitive data at ingestion and query. AWS documentation states it can "detect and protect sensitive data in logs" using data identifiers, and that authorized users can "use the unmask action to view the original data." Creating a data protection policy on the log group masks PII by default for all viewers, satisfying the requirement to redact personal information. Granting only the security team permission to invoke the unmask API operation ensures that unredacted content is restricted. Option B (KMS) encrypts at rest but does not redact fields; encryption alone does not prevent plaintext visibility to authorized readers. Options A and D add complexity and latency, move data out of CloudWatch, and do not provide default inline redaction/unmask controls in CloudWatch itself. Therefore, the CloudOps-aligned, managed solution is to use CloudWatch Logs data protection with appropriate data identifiers and unmask permissions limited to the security team.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Monitoring & Logging* Amazon CloudWatch Logs - Data Protection (masking/redaction with data identifiers)* CloudWatch Logs - Permissions for masking and unmasking sensitive data* AWS Well-Architected Framework - Security and Operational Excellence (sensitive data handling)
質問 # 28
A global gaming company is preparing to launch a new game on AWS. The game runs in multiple AWS Regions on a fleet of Amazon EC2 instances. The instances are in an Auto Scaling group behind an Application Load Balancer (ALB) in each Region. The company plans to use Amazon Route 53 for DNS services. The DNS configuration must direct users to the Region that is closest to them and must provide automated failover.
Which combination of steps should a CloudOps engineer take to configure Route 53 to meet these requirements? (Select TWO.)
- A. Configure Route 53 simple routing. Specify the continent, country, and state or province that are used for the infrastructure.
- B. Configure Route 53 DNS failover by using a health check that monitors the private IP address of an EC2 instance in each Region.
- C. Create Amazon CloudWatch alarms that monitor the health of the ALB in each Region. Configure Route 53 DNS failover by using a health check that monitors the alarms.
- D. Create Amazon CloudWatch alarms that monitor the health of the EC2 instances in each Region.
Configure Route 53 DNS failover by using a health check that monitors the alarms. - E. Configure Route 53 geoproximity routing. Specify the Regions that are used for the infrastructure.
正解:C、E
解説:
The combination of geoproximity routing and DNS failover health checks provides global low-latency routing with high availability.
Geoproximity routing in Route 53 routes users to the AWS Region closest to their geographic location, optimizing latency. For automatic failover, Route 53 health checks can monitor CloudWatch alarms tied to the health of the ALB in each Region. When a Region becomes unhealthy, Route 53 reroutes traffic to the next available Region automatically.
AWS documentation states:
"Use geoproximity routing to direct users to resources based on geographic location, and configure health checks to provide DNS failover for high availability." Option B incorrectly monitors EC2 instances directly, which is not efficient at scale. Option C uses private IPs, which cannot be globally health-checked. Option E (simple routing) does not support geographic or failover routing. Hence, A and D together meet both the proximity and failover requirements.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 5:
Networking and Content Delivery* Amazon Route 53 Developer Guide - Geoproximity Routing and DNS Failover* AWS Well-Architected Framework - Reliability Pillar* Amazon CloudWatch Alarms - Integration with Route 53 Health Checks
質問 # 29
A CloudOps engineer needs to ensure that AWS resources across multiple AWS accounts are tagged consistently. The company uses an organization in AWS Organizations to centrally manage the accounts. The company wants to implement cost allocation tags to accurately track the costs that are allocated to each business unit.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use AWS Config to evaluate tagging compliance. Use AWS Budgets to apply tags for cost allocation.
- B. Configure AWS CloudTrail events to invoke an AWS Lambda function to detect untagged resources and to automatically assign tags based on predefined rules.
- C. Use Organizations tag policies to enforce mandatory tagging on all resources. Enable cost allocation tags in the AWS Billing and Cost Management console.
- D. Use AWS Service Catalog to provision only pre-tagged resources. Use AWS Trusted Advisor to enforce tagging across the organization.
正解:C
解説:
Tagging is essential for governance, cost management, and automation in CloudOps operations. The AWS Organizations tag policies feature allows centralized definition and enforcement of required tag keys and accepted values across all accounts in an organization. According to the AWS CloudOps study guide under Deployment, Provisioning, and Automation, tag policies enable automatic validation of tags, ensuring consistency with minimal manual overhead.
Once tagging consistency is enforced, enabling cost allocation tags in the AWS Billing and Cost Management console allows accurate cost distribution per business unit. AWS documentation states:
"Use AWS Organizations tag policies to standardize tags across accounts. You can activate cost allocation tags in the Billing console to track and allocate costs." Option B introduces unnecessary complexity with Lambda automation. Option C detects but does not enforce tagging. Option D limits flexibility to Service Catalog resources only. Therefore, Option A provides a centrally managed, automated, and low-overhead solution that meets CloudOps tagging and cost-tracking requirements.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 3:
Deployment, Provisioning and Automation* AWS Organizations - Tag Policies* AWS Billing and Cost Management - Cost Allocation Tags* AWS Well-Architected Framework - Operational Excellence and Cost Optimization Pillars
質問 # 30
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