SOA-C03試験関連情報 & SOA-C03日本語問題集

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Amazon SOA-C03 Exam Overview:

Certification Vendor:	Amazon Web Services (AWS)
Exam Name:	AWS Certified CloudOps Engineer - Associate
Exam Number:	SOA-C03
Exam Duration:	130 minutes
Exam Format:	Multiple response, Multiple choice
Available Languages:	English, Simplified Chinese, Korean, Japanese
Exam Price:	150 USD
Related Certifications:	AWS Certified SysOps Administrator - Associate (SOA-C02, retired)
Passing Score:	720 (scaled score 100–1000)
Certificate Validity Period:	3 years
Real Exam Qty:	65 (50 scored, 15 unscored)
Recommended Training:	AWS Official Exam Guide AWS Training and Certification
Exam Registration:	AWS Certification Registration Pearson VUE Scheduling
Sample Questions:	Amazon SOA-C03 Sample Questions
Exam Way:	Online proctored or onsite at Pearson VUE test centers
Pre Condition:	No mandatory prerequisites; recommended 1 year of experience deploying, managing, and operating workloads on AWS
Official Syllabus URL:	https://docs.aws.amazon.com/aws-certification/latest/sysops-administrator-associate-03/sysops-administrator-associate-03.html

>> SOA-C03試験関連情報 <<

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Amazon SOA-C03 認定試験の出題範囲：

トピック	出題範囲
トピック 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.
トピック 2	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.
トピック 3	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.
トピック 4	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.
トピック 5	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.

Amazon AWS Certified CloudOps Engineer - Associate 認定 SOA-C03 試験問題 (Q271-Q276):

質問 # 271
An application runs on Amazon EC2 instances that are in an Auto Scaling group. A CloudOps engineer needs to implement a solution that provides a central storage location for errors that the application logs to disk. The solution must also provide an alert when the application logs an error.
What should the CloudOps engineer do to meet these requirements?

A. Create an Auto Scaling lifecycle hook that invokes an EC2-based script to identify errors.
Configure the script to push the error messages to an Amazon CloudWatch log group when the EC2 instances scale in. Create a CloudWatch alarm that publishes to an Amazon Simple Notification Service (Amazon SNS) topic that has an email subscription when the number of error messages exceeds a threshold.
B. Create a cron job on the EC2 instances to identify errors and push the errors to an Amazon CloudWatch metric filter. Configure the filter to publish to an Amazon Simple Notification Service (Amazon SNS) topic that has an SMS subscription.
C. Deploy an AWS Lambda function that pushes the errors directly to Amazon CloudWatch Logs.
Configure the Lambda function to run every time the log file is updated on disk.
D. Deploy and configure the Amazon CloudWatch agent on the EC2 instances to log to a CloudWatch log group. Create a metric filter on the target CloudWatch log group. Create a CloudWatch alarm that publishes to an Amazon Simple Notification Service (Amazon SNS) topic that has an email subscription.

正解：D

解説：
The AWS Cloud Operations and Monitoring documentation specifies that the Amazon CloudWatch Agent is the recommended tool for collecting system and application logs from EC2 instances. The agent pushes these logs into a centralized CloudWatch Logs group, providing durable storage and real-time monitoring.
Once the logs are centralized, a CloudWatch Metric Filter can be configured to search for specific error keywords (for example, "ERROR" or "FAILURE"). This filter transforms matching log entries into custom metrics. From there, a CloudWatch Alarm can monitor the metric threshold and publish notifications to an Amazon SNS topic, which can send email or SMS alerts to subscribed recipients.
This combination provides a fully automated, managed, and serverless solution for log aggregation and error alerting. It eliminates the need for manual cron jobs (Option B), custom scripts (Option D), or Lambda-based log streaming (Option C).

質問 # 272
A CloudOps engineer is troubleshooting an AWS CloudFormation stack creation that failed.
Before the CloudOps engineer can identify the problem, the stack and its resources are deleted.
For future deployments, the CloudOps engineer must preserve any resources that CloudFormation successfully created.
What should the CloudOps engineer do to meet this requirement?

A. Set the value of the DisableRollback parameter to False during stack creation.
B. Set the value of the OnFailure parameter to DO_NOTHING during stack creation.
C. Specify a rollback configuration that has a rollback trigger of DO_NOTHING during stack creation.
D. Set the value of the OnFailure parameter to ROLLBACK during stack creation.

正解：B

解説：
When OnFailure=DO_NOTHING is set in AWS CloudFormation, the stack remains in the
"CREATE_FAILED" state instead of being automatically rolled back and deleted. This preserves any successfully created resources, allowing the CloudOps engineer to investigate and correct the issue without losing existing resources.

質問 # 273
A company uses Amazon Route 53 with latency-based routing across multiple AWS Regions to provide resiliency. The company uses Route 53 with latency-based routing to direct traffic to the nearest Region. Within each Region, weighted A records distribute traffic across multiple Availability Zones.
During a recent update, some Availability Zone endpoints became unhealthy. Route 53 continued to route traffic to the unhealthy endpoints. The company must prevent this issue from occurring in the future.
Which solution will meet this requirement?

A. Reconfigure all records to use latency-based routing across all Regions uniformly.
B. Add a Route 53 health check for each of the weighted records that received traffic during the recent update.
C. Reduce the TTL value for latency-based routing to detect changes more quickly.
D. Increase the weight of Route 53 records in the Region where traffic must go during updates.

正解：B

解説：
In Route 53 latency-based routing, traffic is routed to the Region with the lowest latency, and within each Region, weighted records can distribute traffic across multiple endpoints. However, if the weighted records lack individual health checks, Route 53 cannot detect endpoint failures and continues routing traffic to unhealthy targets. Attaching a Route 53 health check to each weighted record ensures that only healthy endpoints receive traffic, preventing recurrence of the issue.

質問 # 274
A CloudOps engineer has an AWS CloudFormation template of the company's existing infrastructure in us-west-2. The CloudOps engineer attempts to use the template to launch a new stack in eu-west-1, but the stack only partially deploys, receives an error message, and then rolls back.
Why would this template fail to deploy? (Choose two.)

A. CloudFormation templates can be used only to update existing services
B. The template requested services that do not exist in eu-west-1.
C. The template did not have the proper level of permissions to deploy the resources.
D. The template referenced an Amazon Machine Image (AMI) that is not available in eu-west-1.
E. The template referenced an IAM user that is not available in eu-west-1.

正解：B、D

解説：
AMIs are Region-specific, so an AMI ID valid in us-west-2 will not exist in eu-west-1. This causes resource creation failures when CloudFormation tries to launch EC2 instances using that unavailable AMI.
Some AWS services or resource types are not available in every Region. If the template includes such a service, the deployment will fail in Regions where the service is unavailable.
Together, these are the most common causes of CloudFormation stack failures when deploying templates across Regions.

質問 # 275
A company runs a worker process on three Amazon EC2 instances. The instances are in an Auto Scaling group that is configured to use a simple scaling policy. The instances process messages from an Amazon SQS queue. Random periods of increased messages are causing a decrease in the performance of the worker process. A CloudOps engineer must scale the instances to accommodate the increased number of messages.
Which solution will meet these requirements?

A. Create an Application Load Balancer (ALB). Attach the ALB to the Auto Scaling group. Create a scheduled scaling policy for the Auto Scaling group.
B. Create an Application Load Balancer (ALB). Attach the ALB to the Auto Scaling group. Create a target tracking scaling policy for the ALBRequestCountPerTarget metric to modify the Auto Scaling group.
C. Use CloudWatch to create a metric math expression to calculate the approximate age of the oldest message in the SQS queue. Create a target tracking scaling policy for the metric math expression to modify the Auto Scaling group.
D. Use CloudWatch to create a metric math expression to calculate the approximate number of messages visible in the SQS queue for each instance. Create a target tracking scaling policy for the metric math expression to modify the Auto Scaling group.

正解：D

解説：
For SQS-backed worker fleets, the most useful scaling signal is backlog per instance, calculated as the approximate number of visible messages divided by the number of running instances. This metric shows whether each worker instance has too much work to process and is therefore a strong target tracking metric.
Target tracking scaling is better than simple scaling for this pattern because it continuously adjusts capacity to keep the selected metric near the desired value. Option A uses the age of the oldest message, which can indicate delay but does not directly express workload per instance. Options C and D are wrong because an ALB request metric applies to HTTP request routing, not SQS message processing. Scheduled scaling is also unsuitable because the spikes are random and unpredictable. Therefore, option B is the correct performance optimization solution.

質問 # 276
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