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Amazon SOA-C03 시험요강:
| 주제 | 소개 |
|---|
| 주제 1 | - 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 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 | - 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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| 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 | - 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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최신 Amazon Associate SOA-C03 무료샘플문제 (Q191-Q196):
질문 # 191
A company uses multiple Amazon RDS databases to support an application. The application receives all its traffic during weekdays and is idle during weekends. The company wants a solution to automatically manage the RDS DB instances during idle periods to optimize costs.
Which solution will meet these requirements?
- A. Use the auto scaling feature of Amazon RDS to automatically adjust the DB instance type based on CPU utilization.
- B. Configure Instance Scheduler on AWS to stop the RDS DB instances at the beginning of each weekend and to start the instances at the end of each weekend.
- C. Use a cron job to automatically scale down the RDS DB instance type during weekends.
- D. Purchase Reserved Instances for the RDS DB instances.
정답:B
설명:
The Instance Scheduler on AWS is an AWS-provided solution designed specifically to start and stop AWS resources such as Amazon RDS instances on a defined schedule. This directly aligns with the requirement to automatically manage RDS instances during predictable idle periods, such as weekends, to reduce costs.
RDS instances incur compute charges while running, even if idle. Stopping them during weekends eliminates those charges while retaining storage and backups. Instance Scheduler supports tag-based scheduling, centralized management, and automated start/stop workflows without custom scripting.
질문 # 192
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?
- A. Implement an active-active architecture that provides real-time data replication across two Regions. Use Amazon Route 53 health checks and a weighted routing policy.
- B. Implement a warm standby architecture that provides regular data replication in a second Region.
Configure Amazon Route 53 health checks and automated DNS failover. - C. Implement a pilot light architecture that provides real-time data replication in the second Region.
Configure Amazon Route 53 health checks and automated DNS failover. - D. Implement a custom script to generate a regular backup of the data and store it in an S3 bucket that is in a second Region. Use the backup to launch the application in the second Region in the event of a workload failure.
정답:A
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 # 193
A company wants to automate the processing of photos that upload to an Amazon S3 bucket.
A CloudOps engineer must invoke a 2-minute processing workflow immediately when a new photo uploads. The CloudOps engineer must initiate the workflow by using a native S3 notification destination.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Send an Amazon S3 event notification to an Amazon SQS queue to invoke an AWS Lambda function for processing.
- B. Configure an Amazon S3 event notification to notify an AWS Step Functions state machine to start the transformation process.
- C. Configure an Amazon S3 event notification to invoke an AWS Lambda function upon each object upload.
- D. Configure an Amazon S3 event notification to publish events to an Amazon EventBridge bus that routes events to an AWS Lambda function.
정답:C
설명:
Amazon S3 can natively invoke an AWS Lambda function when a new object is created. Because the processing takes only 2 minutes, it is well within the Lambda execution limit, making direct S3-to-Lambda invocation the simplest solution with the least operational overhead.
질문 # 194
A company has a VPC that contains a public subnet and a private subnet. The company deploys an Amazon EC2 instance that uses an Amazon Linux AMI and has the AWS Systems Manager Agent (SSM Agent) installed in the private subnet. The EC2 instance is in a security group that allows only outbound traffic.
A CloudOps engineer needs to give a group of privileged administrators the ability to connect to the instance through SSH without exposing the instance to the internet.
Which solution will meet this requirement?
- A. Create an EC2 Instance Connect endpoint in the public subnet. Update the security group to allow SSH traffic from the private network. Assign PowerUserAccess.
- B. Create a Systems Manager endpoint in the private subnet. Update the security group to allow SSH traffic from the endpoint network. Assign PowerUserAccess.
- C. Create an EC2 Instance Connect endpoint in the private subnet. Update the security group to allow inbound SSH traffic. Assign PowerUserAccess to administrators.
- D. Create a Systems Manager endpoint in the public subnet. Create an IAM role with AmazonSSMManagedInstanceCore for the EC2 instance. Assign AmazonEC2ReadOnlyAccess to administrators.
정답:C
설명:
Comprehensive Explanation (250-350 words):
EC2 Instance Connect Endpoint (EICE) enables secure SSH access to instances in private subnets without requiring public IP addresses, bastion hosts, or inbound internet access. By deploying the endpoint in the private subnet, administrators can connect securely using IAM-based authentication.
The instance security group must allow inbound SSH (port 22) from the EICE security group. Access control is handled via IAM, which eliminates the need to distribute or manage SSH keys.
Option B incorrectly attempts to use Systems Manager for SSH, which is unnecessary when EICE is available. Option C incorrectly places the endpoint in a public subnet, which does not align with the requirement to keep access private. Option D is incorrect because Systems Manager Session Manager does not require SSH and AmazonEC2ReadOnlyAccess does not allow instance access.
EICE provides the least overhead and most secure SSH access path for private EC2 instances.
질문 # 195
A company runs thousands of Amazon EC2 instances that are based on the Amazon Linux 2 Amazon Machine Image (AMI). A SysOps administrator must implement a solution to record commands and output from any user that needs an interactive session on one of the EC2 instances. The solution must log the data to a durable storage location. The solution also must provide automated notifications and alarms that are based on the log data.
Which solution will meet these requirements with the MOST operational efficiency?
- A. Require all users to use a central bastion host when they need command line access to an EC2 instance.
Configure the unified Amazon CloudWatch agent on the bastion host to send session logs to Amazon CloudWatch Logs. Set up a metric filter and a metric alarm for relevant security findings in CloudWatch Logs. - B. Require all users to use AWS Systems Manager Session Manager when they need command line access to an EC2 instance. Configure Session Manager to stream session logs to Amazon CloudWatch Logs.
Set up a metric filter and a metric alarm for relevant security findings in CloudWatch Logs. - C. Configure command session logging on each EC2 instance. Require all users to use AWS Systems Manager Run Command documents when they need command line access to an EC2 instance.Configure the unified Amazon CloudWatch agent to send session logs to Amazon CloudWatch Logs.Set up CloudWatch alarms that are based on Amazon Athena query results.
- D. Configure command session logging on each EC2 instance. Configure the unified Amazon CloudWatch agent to send session logs to Amazon CloudWatch Logs. Set up query filters and alerts by using Amazon Athena.
정답:B
설명:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The most operationally efficient solution is C because AWS Systems Manager Session Manager is purpose- built for secure, auditable interactive access to EC2 instances at scale-without managing bastion hosts or distributing SSH keys. Session Manager can be configured to log session activity, including commands and output, to durable destinations such as Amazon CloudWatch Logs (and optionally Amazon S3). This directly satisfies the requirement to record interactive sessions and store logs durably.
For automated notifications and alarms, CloudWatch Logs supports metric filters that transform matching log patterns into CloudWatch metrics. Those metrics can then drive CloudWatch alarms and notifications (for example, via Amazon SNS). This is a standard CloudOps pattern: centralize logs, derive metrics from security-relevant patterns, and alert automatically.
Option A and D require installing and operating agents and building a more complex analytics path (Athena queries for alerting), which is less efficient and introduces more moving parts across thousands of instances.
Option B adds a bastion host dependency that becomes an operational burden (scaling, patching, hardening, HA) and a potential choke point. Session Manager reduces these burdens by using SSM Agent already installed, IAM-based access control, and centralized logging/monitoring integrations.
References:
AWS Systems Manager User Guide - Session Manager and session logging to CloudWatch Logs/S3 Amazon CloudWatch Logs User Guide - Metric filters and alarms from log patterns AWS SysOps Administrator Study Guide - Centralized logging, auditing, and operational monitoring
질문 # 196
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