検証するSOA-C03参考資料 &合格スムーズSOA-C03日本語講座 |実用的なSOA-C03受験料過去問AWS Certified CloudOps Engineer - Associate

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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	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 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.
トピック 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.
トピック 4	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 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.

>> SOA-C03参考資料 <<

SOA-C03試験の準備方法｜完璧なSOA-C03参考資料試験｜有効的なAWS Certified CloudOps Engineer - Associate日本語講座

Topexamが提供した教育資料は真実のテストに非常に近くて、あなたが弊社の短期の特殊訓練問題を通じてすぐにAmazon専門の知識を身につけられます。弊社は君のSOA-C03試験の１００％合格率を保証いたします。

Amazon AWS Certified CloudOps Engineer - Associate 認定 SOA-C03 試験問題 (Q141-Q146):

質問 # 141
A company runs applications on Amazon EC2 instances. The company wants to ensure that SSH ports on the EC2 instances are never open. The company has enabled AWS Config and has set up the restricted-ssh AWS managed rule.
A CloudOps engineer must implement a solution to remediate SSH port access for noncompliant security groups.
What should the engineer do to meet this requirement with the MOST operational efficiency?

A. Make an AWS Config API call to search for noncompliant security groups. Disable SSH access for noncompliant security groups by using a Deny rule.
B. Configure the AWS Config rule to identify noncompliant security groups. Configure the rule to use the AWS-DisableIncomingSSHOnPort22 AWS Systems Manager Automation runbook to remediate noncompliant resources.
C. Configure the AWS Config rule to identify noncompliant security groups. Manually update each noncompliant security group to remove the Allow rule.
D. Configure the AWS Config rule to identify noncompliant security groups. Configure the rule to use the AWS-PublishSNSNotification AWS Systems Manager Automation runbook to send notifications about noncompliant resources.

正解：B

解説：
The AWS Cloud Operations and Governance documentation specifies that AWS Config can be paired with AWS Systems Manager Automation runbooks for automatic remediation of noncompliant resources.
For SSH restrictions, the restricted-ssh managed rule detects any security group allowing inbound traffic on port 22. To automatically remediate these findings, AWS provides the AWS-DisableIncomingSSHOnPort22 runbook. This runbook programmatically removes inbound rules that allow port 22 traffic from affected security groups.
This approach achieves continuous compliance with minimal human intervention. By contrast, sending notifications (Option A) does not enforce remediation, API-based scripts (Option C) add operational overhead, and manual remediation (Option D) violates automation best practices.
Therefore, the most efficient CloudOps solution is Option B, using AWS Config with the AWS-DisableIncomingSSHOnPort22 automation runbook for automatic, scalable enforcement.

質問 # 142
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. Configure an AWS Site-to-Site VPN connection to connect SageMaker to the S3 buckets.
C. 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.
D. Create Amazon S3 gateway endpoints. Configure SageMaker to access the S3 buckets by using AWS PrivateLink.

正解：D

解説：
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.

質問 # 143
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 send an alert to the ALB to rebalance the traffic and not add new EC2 instances until the load is normalized.
B. The Auto Scaling group will try to distribute the traffic among all EC2 instances before launching another instance.
C. The Auto Scaling group will launch an additional EC2 instance every time the RequestCountPerTarget metric exceeds the predefined limit.
D. The Auto Scaling group will launch one EC2 instance and will wait for the default cooldown period before launching another instance.

正解：D

解説：
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 (AWS CloudOps Documents / Study Guide):
* 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

質問 # 144
A company hosts a static website in an Amazon S3 bucket, accessed globally via Amazon CloudFront. The Cache-Control max-age header is set to 1 hour, and Maximum TTL is set to 5 minutes. The CloudOps engineer observes that CloudFront is not caching objects for the expected duration.
What is the reason for this issue?

A. Cache invalidation is missing in the CloudFront configuration.
B. The Expires header has been set to 3 hours.
C. Cache-duration settings conflict with each other.
D. Cached assets are not expiring in the edge location.

正解：C

解説：
As per the AWS Cloud Operations and Content Delivery documentation, CloudFront determines cache behavior by evaluating both origin headers (e.g., Cache-Control and Expires) and distribution-level TTL settings.
When Cache-Control max-age conflicts with the Maximum TTL configured in CloudFront, the shorter TTL value takes precedence. This results in CloudFront caching content for only 5 minutes instead of 1 hour, despite the origin headers suggesting a longer duration.
AWS documentation explicitly states: "When both origin cache headers and CloudFront TTL settings are defined, CloudFront uses the most restrictive caching period." This mismatch causes the perceived performance drop, as CloudFront frequently revalidates content.
Therefore, Option D is correct - cache-duration settings conflict with each other, leading to unexpected caching behavior.
Reference: AWS Cloud Operations & Content Delivery Guide - Interaction Between Cache-Control Headers and CloudFront TTL Settings

質問 # 145
A company uses AWS CloudFormation to manage a stack of Amazon EC2 instances on AWS. A CloudOps engineer needs to keep the instances and all of the instances' data, even if someone deletes the stack.
Which solution will meet these requirements?

A. Create a backup plan in AWS Backup.
B. Set the DeletionPolicy attribute to Snapshot for the EC2 instance resource in the CloudFormation template.
C. Set the DeletionPolicy attribute to Retain for the EC2 instance resource in the CloudFormation template.
D. Automate backups by using Amazon Data Lifecycle Manager (Amazon DLM).

正解：C

解説：
In AWS CloudFormation, setting the DeletionPolicy attribute to Retain ensures that the resource (in this case, the EC2 instance and its associated data) is not deleted when the stack is deleted.
This preserves the instance and its data outside of the stack lifecycle, meeting the requirement to keep everything even if the stack is removed.

質問 # 146
......

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