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질문 # 166
A company runs an application on Amazon EC2 that connects to an Amazon Aurora PostgreSQL database. A developer accidentally drops a table from the database, causing application errors.
Two hours later, a CloudOps engineer needs to recover the data and make the application functional again.
Which solution will meet this requirement?
정답：D
설명：
In the AWS Cloud Operations and Aurora documentation, when data loss occurs due to human error such as dropped tables, Point-in-Time Recovery (PITR) is the recommended method for restoration. PITR creates a new Aurora cluster restored to a specific time before the failure.
The restored cluster has a new endpoint that must be reconfigured in the application to resume normal operations. AWS does not support performing PITR directly on an existing production database because that would overwrite current data.
Aurora Backtrack (Option A) applies only to Aurora MySQL, not PostgreSQL. Option B is incorrect because PITR cannot be executed in place. Option D refers to an import process from S3, which is unrelated to time-based recovery.
Hence, Option C is correct and follows the AWS CloudOps standard recovery pattern for PostgreSQL workloads.
질문 # 167
A company's ecommerce application is running on Amazon EC2 instances that are behind an Application Load Balancer (ALB). The instances are in an Auto Scaling group. Customers report that the website is occasionally down. When the website is down, it returns an HTTP 500 (server error) status code to customer browsers.
The Auto Scaling group's health check is configured for EC2 status checks, and the instances appear healthy.
Which solution will resolve the problem?
정답：A
설명：
In this scenario, the EC2 instances pass their EC2 status checks, indicating that the operating system is responsive. However, the application hosted on the instance is failing intermittently, returning HTTP 500 errors. This demonstrates a discrepancy between the instance-level health and the application-level health.
According to AWS CloudOps best practices under Monitoring, Logging, Analysis, Remediation and Performance Optimization (SOA-C03 Domain 1), Auto Scaling groups should incorporate Elastic Load Balancing (ELB) health checks instead of relying solely on EC2 status checks. The ELB health check probes the application endpoint (for example, HTTP or HTTPS target group health checks), ensuring that the application itself is functioning correctly.
When an instance fails an ELB health check, Amazon EC2 Auto Scaling will automatically mark the instance as unhealthy and replace it with a new one, ensuring continuous availability and performance optimization.
Extract from AWS CloudOps (SOA-C03) Study Guide - Domain 1:
"Implement monitoring and health checks using ALB and EC2 Auto Scaling integration. Application Load Balancer health checks allow Auto Scaling to terminate and replace instances that fail application-level health checks, ensuring consistent application performance." Extract from AWS Auto Scaling Documentation:
"When you enable the ELB health check type for your Auto Scaling group, Amazon EC2 Auto Scaling considers both EC2 status checks and Elastic Load Balancing health checks to determine instance health. If an instance fails the ELB health check, it is automatically replaced." Therefore, the correct answer is B, as it ensures proper application-level monitoring and remediation using ALB-integrated ELB health checks-a core CloudOps operational practice for proactive incident response and availability assurance.
References (AWS CloudOps Verified Source Extracts):
AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide: Domain 1 - Monitoring, Logging, and Remediation.
AWS Auto Scaling User Guide: Health checks for Auto Scaling instances (Elastic Load Balancing integration).
AWS Well-Architected Framework - Operational Excellence and Reliability Pillars.
AWS Elastic Load Balancing Developer Guide - Target group health checks and monitoring.
질문 # 168
A company that uses AWS Organizations recently implemented AWS Control Tower. The company now needs to centralize identity management. A CloudOps engineer must federate AWS IAM Identity Center with an external SAML 2.0 identity provider (IdP) to centrally manage access to all AWS accounts and cloud applications.
Which prerequisites must the CloudOps engineer have so that the CloudOps engineer can connect to the external IdP? (Select TWO.)
정답：D,E
설명：
According to the AWS Cloud Operations and Identity Management documentation, when configuring federation between IAM Identity Center (formerly AWS SSO) and an external SAML 2.0 identity provider, two key prerequisites are required:
The IAM Identity Center SAML metadata file - This is uploaded to the external IdP to establish trust, define SAML endpoints, and enable identity federation.
The IdP metadata (including the public X.509 certificate) - This information is imported into IAM Identity Center to validate authentication assertions and encryption signatures.
IAM Identity Center and the IdP exchange this metadata to mutually establish secure, bidirectional federation.
Network-level details such as IP addresses (Option C) are unnecessary. Root access (Option D) or permissions to member accounts (Option E) are not required; only Control Tower or IAM administrative permissions in the management account are needed for setup.
Thus, the correct answer is A and B - the SAML metadata from both sides is required for federation.
질문 # 169
A global company runs a critical primary workload in the us-east-1 Region. The company wants to ensure business continuity with minimal downtime in case of a workload failure. The company wants to replicate the workload to a second AWS Region.
A CloudOps engineer needs a solution that achieves a recovery time objective (RTO) of less than
10 minutes and a zero recovery point objective (RPO) to meet service level agreements.
Which solution will meet these requirements?
정답：C
설명：
The active-active multi-Region architecture provides the lowest possible RTO and RPO among all disaster recovery strategies. In this approach, workloads are deployed and actively running in multiple AWS Regions simultaneously. All data is continuously replicated in real time between Regions using fully managed replication services, ensuring zero data loss (zero RPO).
Because both Regions are active and capable of handling requests, failover between them is instantaneous, meeting the RTO of less than 10 minutes. Amazon Route 53 is used with weighted or latency-based routing policies and health checks to automatically route traffic away from an impaired Region to the healthy Region without manual intervention.
Pilot Light Architecture maintains only a minimal copy of the environment in the secondary Region. It requires time to scale up infrastructure during a disaster, resulting in longer RTO and potential data loss (non-zero RPO).
Warm Standby Architecture keeps partially running infrastructure in the secondary Region.
Although faster than pilot light, it still requires scaling and synchronization, resulting in higher RTO and RPO compared to active-active.
Backup and Restore (option D) relies on periodic backups and restores data when needed. This approach has the highest RTO and RPO, unsuitable for mission-critical workloads demanding high availability and zero data loss.
Therefore, based on AWS-recommended disaster recovery strategies outlined in the AWS Cloud Operations and Disaster Recovery Guide, the Active-Active Multi-Region architecture (Option C) is the only approach that guarantees RTO <10 minutes and RPO = 0, achieving continuous availability and business continuity across Regions.
질문 # 170
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?
정답：C
설명：
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 CloudOps Documents / Study Guide):
* 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
질문 # 171
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