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Amazon SOA-C03 시험요강:
| 주제 | 소개 |
|---|
| 주제 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.
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| 주제 2 | - 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.
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| 주제 3 | - 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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| 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.
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| 주제 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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최신 Amazon Associate SOA-C03 무료샘플문제 (Q263-Q268):
질문 # 263
A CloudOps engineer configures an application to run on Amazon EC2 instances behind an Application Load Balancer (ALB) in a simple scaling Auto Scaling group with the default settings. The Auto Scaling group is configured to use the RequestCountPerTarget metric for scaling. The CloudOps engineer notices that the RequestCountPerTarget metric exceeded the specified limit twice in 180 seconds.
How will the number of EC2 instances in this Auto Scaling group be affected in this scenario?
- A. The Auto Scaling group will launch an additional EC2 instance every time the RequestCountPerTarget metric exceeds the predefined limit.
- B. The Auto Scaling group will launch one EC2 instance and will wait for the default cooldown period before launching another instance.
- C. The Auto Scaling group will send an alert to the ALB to rebalance the traffic and not add new EC2 instances until the load is normalized.
- D. The Auto Scaling group will try to distribute the traffic among all EC2 instances before launching another instance.
정답:B
설명:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
With simple scaling policies, an Auto Scaling group performs one scaling activity when the alarm condition is met, then observes a default cooldown period (300 seconds) before another scaling activity of the same type can begin. CloudOps guidance explains that cooldown prevents rapid successive scale-outs by allowing time for the newly launched instance(s) to register with the load balancer and impact the metric. Even if the alarm breaches multiple times during the cooldown window, the group waits until the cooldown completes before evaluating and acting again. In this case, although RequestCountPerTarget exceeded the threshold twice within 180 seconds, the group will launch a single instance and then wait for cooldown before any additional scale-out can occur. Options A, C, and D do not reflect the behavior of simple scaling with cooldowns; A describes step/target-tracking-like behavior, and C/D are not Auto Scaling mechanics.
References:* Amazon EC2 Auto Scaling - Simple Scaling Policies and Cooldown (User Guide)* Elastic Load Balancing Metrics - ALB RequestCountPerTarget (CloudWatch Metrics)* AWS Well-Architected Framework - Performance Efficiency & Operational Excellence
질문 # 264
A SysOps administrator monitors and maintains the availability of resources in an AWS environment. The SysOps administrator notices that the CPU utilization of an Amazon EC2 instance that runs web server software peaks above 80% at various times during each day. The CPU spikes correlate with peak daily loads. The high CPU load has resulted in performance issues for customers.
The SysOps administrator needs to resolve the system performance issue without causing any service disruptions. Which solution will meet these requirements?
- A. Configure an AWS Systems Manager Automation runbook to run a script that automatically restarts the application when CPU utilization exceeds 80%.
- B. Set up an Auto Scaling group with an Amazon CloudWatch alarm that triggers a scaling policy to launch additional EC2 instances when the CPU utilization exceeds 80%.
- C. Configure an Amazon CloudWatch alarm that invokes an AWS Systems Manager Automation runbook to vertically scale the EC2 instance when the CPU utilization exceeds 80%.
- D. Configure an Amazon EventBridge rule that invokes an AWS Systems Manager Automation document. Configure the document to increase the EC2 instance size when CPU utilization exceeds 80%.
정답:B
설명:
The requirement is to fix performance degradation from predictable peak CPU load without service disruptions. The most reliable and operationally standard approach is horizontal scaling with an Auto Scaling group driven by CloudWatch metrics/alarms (or target tracking). Launching additional instances and distributing traffic (typically behind a load balancer) increases capacity while keeping existing instances serving requests--no reboot or stop/start required.
Option D meets the requirement because Auto Scaling can add capacity when CPU exceeds a threshold and remove capacity when demand falls. This improves performance during peak periods and maintains availability. It is also operationally efficient: scaling actions are automated, consistent, and can be tuned with cooldowns/health checks.
질문 # 265
A company needs to monitor its website's availability to end users. The company needs a solution to provide an Amazon Simple Notification Service (Amazon SNS) notification if the website's uptime decreases to less than 99%. The monitoring must provide an accurate view of the user experience on the website.
Which solution will meet these requirements?
- A. Create an Amazon CloudWatch alarm that is based on the website's published metrics in CloudWatch. Configure the alarm to publish an SNS notification that is based on anomaly detection.
- B. Create an Amazon CloudWatch alarm that is based on the website's logs that are published to a CloudWatch Logs log group. Configure the alarm to publish an SNS notification if the number of HTTP 4xx errors and 5xx errors exceeds a specified threshold.
- C. Create an Amazon CloudWatch Synthetics broken link checker monitoring canary. Associate the canary with the website's URL for end users. Create a CloudWatch alarm for the canary. Configure the alarm to publish an SNS notification if the value of the SuccessPercent metric is less than
99%. - D. Create an Amazon CloudWatch Synthetics heartbeat monitoring canary. Associate the canary with the website's URL for end users. Create a CloudWatch alarm for the canary. Configure the alarm to publish an SNS notification if the value of the
정답:D
설명:
CloudWatch Synthetics heartbeat canaries simulate real user traffic to continuously monitor website availability and performance from an end-user perspective. By setting a CloudWatch alarm on the SuccessPercent metric and configuring it to send SNS notifications when uptime falls below 99%, the company gains accurate, automated monitoring of actual user experience with minimal operational effort.
질문 # 266
A CloudOps engineer needs to build an event infrastructure for custom application-specific events. The events must be sent to an AWS Lambda function for processing. The CloudOps engineer must record the events so they can be replayed later by event type or event time.
Which solution will meet these requirements?
- A. Create an Amazon EventBridge custom event bus, create an archive, and create a rule to send events to Lambda.
- B. Create a CloudWatch Logs log group and route events there.
- C. Create an EventBridge pipe and store events in an archive.
- D. Create an archive on the default event bus and use pattern matching.
정답:A
설명:
Comprehensive Explanation (250-350 words):
Amazon EventBridge supports custom event buses for application-specific events. EventBridge archives allow events to be retained and replayed later based on time ranges or event patterns, directly meeting the replay requirement.
Creating a custom event bus provides isolation and governance for application events. The archive preserves events automatically, and EventBridge rules route events to AWS Lambda for processing without custom code.
Options B and C do not properly align with custom event use cases or supported archive behavior. Option D lacks native replay functionality.
Therefore, a custom event bus with an archive and rule is the correct solution.
질문 # 267
A healthcare company uses Amazon SageMaker within a VPC to build machine learning (ML) models that use data that is stored in Amazon S3 buckets. The company wants to ensure that SageMaker accesses the data securely without using public IP addresses. Which solution will meet this requirement?
- A. Configure AWS Transit Gateway to route traffic from SageMaker to the S3 buckets.
- B. Provision a NAT gateway within the same VPC where the company runs SageMaker. Configure SageMaker to access the S3 buckets by using the NAT gateway.
- C. Create Amazon S3 gateway endpoints. Configure SageMaker to access the S3 buckets by using AWS PrivateLink.
- D. Configure an AWS Site-to-Site VPN connection to connect SageMaker to the S3 buckets.
정답:C
설명:
An Amazon S3 gateway endpoint allows resources in a VPC, including SageMaker workloads configured for VPC access, to reach S3 privately without using public IP addresses or traversing the internet. This provides secure private connectivity to the S3 buckets for ML data access.
질문 # 268
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