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Amazon SOA-C03 시험요강:

주제소개
주제 1
  • 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.
주제 2
  • 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.
주제 3
  • 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.
주제 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.
주제 5
  • 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.

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최신 Amazon Associate SOA-C03 무료샘플문제 (Q279-Q284):

질문 # 279
A company with millions of subscribers needs to automatically send notifications every Saturday.
The company already uses Amazon SNS to send messages but has historically sent them manually.
Which solution will meet these requirements in the MOST operationally efficient way?

정답：D

설명：
Per the AWS Cloud Operations and Event Management documentation, Amazon EventBridge provides native scheduling capabilities that can trigger events at defined intervals--such as weekly, daily, or cron-based schedules.
Creating an EventBridge rule that runs every Saturday and publishes a message to an SNS topic fully automates the notification process without maintaining servers or manual jobs. This approach is serverless, highly reliable, and fully managed by AWS.
EC2 cron jobs (Option A) require instance management, patching, and cost overhead.
SNS subscriptions (Option C) handle message delivery, not scheduling.
Step Functions (Option D) are designed for complex workflows, not simple scheduled triggers.
Thus, Option B provides the most operationally efficient CloudOps solution by integrating EventBridge scheduled events with SNS topics for automated, recurring notifications.


질문 # 280
A company wants to use only IPv6 for all its Amazon EC2 instances. The EC2 instances must not be accessible from the internet, but the EC2 instances must be able to access the internet. The company creates a dual-stack VPC and IPv6-only subnets. How should a CloudOps engineer configure the VPC to meet these requirements?

정답：D

설명：
An egress-only internet gateway allows IPv6 resources in a VPC to initiate outbound connections to the internet while preventing unsolicited inbound connections from the internet. Routing IPv6 traffic from the IPv6-only subnets to the egress-only internet gateway provides internet access without making the EC2 instances directly reachable from the internet.


질문 # 281
A company has a production application that runs on large compute optimized Amazon EC2 instances behind an Application Load Balancer (ALB). The instances are in an Amazon EC2 Auto Scaling group. The Auto Scaling group has a desired capacity of 2, a maximum capacity of 2, and a minimum capacity of 1.
The application is CPU-bound. The EC2 instances show consistent CPU utilization of 90% or greater during peak usage periods. These peak usage periods are unpredictable and cause performance issues and latency issues.
Which solution will automate the resolution of these issues?

정답：D

설명：
The Auto Scaling group cannot scale out because its maximum capacity is already set to 2, the same as the current desired capacity. To automate the resolution, the CloudOps engineer must raise the maximum capacity and configure a scaling policy that adds instances when CPU utilization exceeds the threshold. Since the workload is CPU-bound and peak periods are unpredictable, metric-based scaling is appropriate. Option A adds unmanaged capacity outside the Auto Scaling group, which defeats automated fleet management. Option B correctly increases maximum capacity but incorrectly changes to burstable instances; burstable instances are a poor choice for sustained CPU-heavy workloads. Option D is incomplete because increasing desired capacity alone does not guarantee future automated scale-out unless the maximum capacity also permits it.
Therefore, option C is correct.


질문 # 282
A company plans to migrate several of its high-performance computing (HPC) virtual machines to Amazon EC2. The deployment must minimize network latency and maximize network throughput between the instances.
Which placement group strategy should the CloudOps engineer choose?

정답：C

설명：
Comprehensive Explanation (250-350 words):
Cluster placement groups are specifically designed for workloads that require extremely low latency and high network throughput, such as HPC applications. Instances are placed physically close together within the same Availability Zone, enabling high-bandwidth, low-latency networking.
Partition placement groups are optimized for fault isolation, not network performance. Spread placement groups prioritize availability by distributing instances across distinct hardware, which increases latency.
Because the requirement is performance rather than fault isolation or high availability, a cluster placement group is the optimal choice.


질문 # 283
A company applies user-defined tags to resources that are associated with the company's AWS workloads. Twenty days after applying the tags, the company notices that it cannot use the tags to filter views in the AWS Cost Explorer console.
What is the reason for this issue?

정답：A

설명：
User-defined (custom) tags must be manually activated as cost allocation tags in the AWS Billing and Cost Management console before they can be used for filtering or grouping data in AWS Cost Explorer or Cost and Usage Reports. After activation, it can take up to 24 hours for the tags to appear in Cost Explorer - not 20 or 30 days.


질문 # 284
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