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Amazon SOA-C03 시험요강:
| 주제 | 소개 |
|---|
| 주제 1 | - 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 2 | - 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 3 | - 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 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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SOA-C03최신 시험 기출문제 모음, SOA-C03완벽한 덤프자료
Amazon SOA-C03인증시험은 현재IT업계에서 아주 인기 있는 시험입니다.많은 IT인사들이 관연 자격증을 취득하려고 노력하고 있습니다.Amazon SOA-C03인증시험에 대한 열기는 식지 않습니다.Amazon SOA-C03자격증은 여러분의 사회생활에 많은 도움이 될 것이며 연봉상승 등 생활보장에 업그레이드 될 것입니다.
최신 Amazon Associate SOA-C03 무료샘플문제 (Q28-Q33):
질문 # 28
A company has users that deploy Amazon EC2 instances with more Amazon EBS performance capacity than required. A CloudOps engineer must review all EBS volumes and create cost optimization recommendations based on IOPS and throughput.
What should the CloudOps engineer do in the MOST operationally efficient way?
- A. Run fio benchmarks on each instance.
- B. Review EC2 console monitoring graphs manually.
- C. Change instance types to EBS-optimized.
- D. Opt in to AWS Compute Optimizer and review EBS volume recommendations.
정답:D
설명:
Comprehensive Explanation (250-350 words):
AWS Compute Optimizer analyzes historical utilization metrics and provides rightsizing recommendations for EBS volumes, including IOPS and throughput. It is fully managed, continuously updated, and requires minimal operational effort.
Manual reviews and benchmarking do not scale. Changing instance types does not address EBS overprovisioning.
Therefore, AWS Compute Optimizer is the best solution.
질문 # 29
A company has an internal web application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group in a single Availability Zone. A CloudOps engineer must make the application highly available.
Which action should the CloudOps engineer take to meet this requirement?
- A. Increase the maximum number of instances in the Auto Scaling group to meet the capacity that is required at peak usage.
- B. Update the Auto Scaling group to launch new instances in an Availability Zone in a second AWS Region.
- C. Update the Auto Scaling group to launch new instances in a second Availability Zone in the same AWS Region.
- D. Increase the minimum number of instances in the Auto Scaling group to meet the capacity that is required at peak usage.
정답:C
설명:
High availability within AWS is achieved by distributing resources across multiple Availability Zones in the same Region. By updating the Auto Scaling group to span at least two Availability Zones, the application can continue serving traffic even if one zone becomes unavailable. This configuration works seamlessly with the Application Load Balancer, which automatically routes traffic only to healthy instances across those zones.
질문 # 30
A company hosts a production MySQL database on an Amazon Aurora single-node DB cluster. The database is queried heavily for reporting purposes. The DB cluster is experiencing periods of performance degradation because of high CPU utilization and maximum connections errors. A CloudOps engineer needs to improve the stability of the database.
Which solution will meet these requirements?
- A. Create a second Aurora MySQL single-node DB cluster in a second Availability Zone. Ensure that all reporting requests use the connection string for this additional node.
- B. Create an AWS Lambda function that caches reporting requests. Ensure that all reporting requests call the Lambda function.
- C. Create an Aurora Replica node. Create an Auto Scaling policy to scale replicas based on CPU utilization. Ensure that all reporting requests use the read-only connection string.
- D. Create a multi-node Amazon ElastiCache cluster. Ensure that all reporting requests use the ElastiCache cluster. Use the database if the data is not in the cache.
정답:C
설명:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
Amazon Aurora supports up to 15 Aurora Replicas that share the same storage volume and provide read scaling and improved availability. Official guidance states that replicas "offload read traffic from the writer" and that you should direct read-only workloads to the reader endpoint, reducing CPU pressure and connection counts on the primary. Aurora also supports Replica Auto Scaling through Application Auto Scaling policies using metrics such as CPU utilization or connections to add or remove replicas automatically.
This design addresses both high CPU and maximum connections by moving reporting traffic to read replicas while keeping a single write primary for OLTP. Option B creates a separate cluster with independent storage, increasing operational overhead and data synchronization complexity. Options C and D introduce application- layer caching changes that may not guarantee data freshness or relieve the write node directly. Therefore, adding read replicas and routing reporting to the reader endpoint, with auto scaling based on load, is the least intrusive, CloudOps-aligned way to stabilize performance.
References:* Amazon Aurora - Replicas and Reader Endpoint (Aurora User Guide)* Aurora Replica Auto Scaling (Aurora & Application Auto Scaling Guides)* AWS Well-Architected Framework - Reliability & Performance Efficiency
질문 # 31
A CloudOps engineer must ensure that all of a company's current and future Amazon S3 buckets have logging enabled. If an S3 bucket does not have logging enabled, an automated process must enable logging for the S3 bucket.
Which solution will meet these requirements?
- A. Use AWS Trusted Advisor to perform a check for S3 buckets that do not have logging enabled.
Configure the check to enable logging for S3 buckets that do not have logging enabled. - B. Configure an S3 bucket policy that requires all current and future S3 buckets to have logging enabled.
- C. Use the s3-bucket-logging-enabled AWS Config managed rule. Add a remediation action that uses an AWS Lambda function to enable logging.
- D. Use the s3-bucket-logging-enabled AWS Config managed rule. Add a remediation action that uses the AWS-ConfigureS3BucketLogging AWS Systems Manager Automation runbook.
정답:D
설명:
AWS Config is designed to continuously evaluate AWS resource configurations and detect noncompliance.
The s3-bucket-logging-enabled managed rule specifically checks whether server access logging is enabled on S3 buckets. This directly meets the detection requirement for both current and future buckets.
To satisfy the remediation requirement, AWS Config supports automatic remediation actions. Using the AWS-provided AWS-ConfigureS3BucketLogging Systems Manager Automation runbook enables logging without custom code. This reduces operational overhead, avoids Lambda function maintenance, and aligns with AWS best practices.
Option A is incorrect because Trusted Advisor does not support automatic remediation. Option B cannot enforce logging at creation time through bucket policies alone. Option C works but introduces unnecessary Lambda maintenance compared to using an AWS-managed automation runbook.
Thus, combining AWS Config managed rules with Systems Manager Automation provides continuous compliance with minimal operational effort.
질문 # 32
A company uses an organization in AWS Organizations to manage a multi-account AWS environment. The company creates a new Amazon EBS backed Amazon Machine Image (AMI).
The company shares the AMI across the organization. Employees must use the AMI to launch all new Linux-based Amazon EC2 instances across the entire organization.
In one of the company's application accounts, an employee uses the new AMI to launch a new workload. The EC2 instance launches, but it is terminated immediately.
What the MOST likely reason that the instance did not fully boot?
- A. The user who launched the instance does not have ec2:RunInstances permissions within the application account.
- B. There is a service control policy (SCP) that denies the user who launched the EC2 instance access to launch instances in the application account.
- C. The user launched the EC2 instance into a subnet that does not have access to the internet.
- D. The company encrypted the AMI by using an AWS KMS key that the user who launched the EC2 instance does not have access to.
정답:D
설명:
When an EBS-backed AMI is encrypted with an AWS KMS key, the account or principal launching the instance must have permission to use that KMS key. If the AMI is shared but the required KMS key permissions are not also granted, the instance can start the launch process but fail and terminate immediately because it cannot access the encrypted root volume.
질문 # 33
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