SOA-C03日本語版参考資料 & SOA-C03復習対策

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Amazon SOA-C03 Exam Overview:
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SOA-C03復習対策 & SOA-C03基礎訓練
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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.
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| トピック 2 | - 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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| 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.
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| トピック 4 | - 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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| 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.
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Amazon AWS Certified CloudOps Engineer - Associate 認定 SOA-C03 試験問題 (Q190-Q195):
質問 # 190
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking, and automatic backup enabled. A CloudOps engineer needs to roll back the DB cluster to a specific recovery point within the previous 72 hours. Restores must be completed in the same production DB cluster.
Which solution will meet these requirements?
- A. Use point-in-time recovery to restore the existing DB cluster to the desired recovery point.
- B. Use backtracking to rewind the existing DB cluster to the desired recovery point.
- C. Create an Aurora Replica. Promote the replica to replace the primary DB instance.
- D. Create an AWS Lambda function to restore an automatic backup to the existing DB cluster.
正解:B
解説:
As documented in AWS Cloud Operations and Database Recovery, Aurora Backtrack allows you to rewind the existing database cluster to a chosen point in time without creating a new cluster. This feature supports fine-grained rollback for accidental data changes, making it ideal for scenarios like table deletions or logical corruption.
Backtracking maintains continuous transaction logs and permits rewinding within a configurable window (up to 72 hours). It does not require creating a new cluster or endpoint, and it preserves the same production environment, fulfilling the operational requirement for in-place recovery.
In contrast, Point-in-Time Recovery (Option D) always creates a new cluster, while replica promotion (Option A) and Lambda restoration (Option B) are unrelated to immediate rollback operations.
Therefore, Option C, using Aurora Backtrack, best meets the requirement for same-cluster restoration and minimal downtime.
質問 # 191
A CloudOps engineer created a VPC with a private subnet, a security group allowing all outbound traffic, and an endpoint for EC2 Instance Connect in the private subnet. The EC2 instance was launched without an SSH key pair, using the same subnet and security group. However, the engineer cannot connect via EC2 Instance Connect endpoint.
How can the CloudOps engineer connect to the instance?
- A. Recreate the EC2 instance. Associate an SSH key pair with the instance.
- B. Create an inbound rule in the security group to allow HTTPS traffic on port 443 from the private subnet.
- C. Create an inbound rule in the security group to allow SSH traffic on port 22 from the private subnet.
- D. Create an IAM instance profile that allows AWS Systems Manager Session Manager to access the EC2 instance. Associate the instance profile with the instance.
正解:D
解説:
According to the AWS Cloud Operations and EC2 Connectivity documentation, EC2 Instance Connect Endpoint allows access to instances without internet exposure or open SSH ports. However, for successful connectivity, the EC2 instance must have Systems Manager permissions through an IAM instance profile.
If no IAM instance profile is attached, the instance cannot establish a control channel with the Systems Manager service, and EC2 Instance Connect cannot authenticate the session.
Opening port 22 (Option B) is unnecessary and contradicts the private subnet design. HTTPS rules (Option A) are irrelevant because EC2 Instance Connect communicates through AWS APIs, not direct HTTPS connections. Recreating the instance with a key pair (Option D) bypasses the intended keyless connection mechanism.
Therefore, Option C - attaching an IAM instance profile with Systems Manager permissions - enables secure, private access through EC2 Instance Connect Endpoint.
Reference: AWS Cloud Operations & EC2 Connectivity Guide - Enabling EC2 Instance Connect Endpoint Access via Systems Manager Permissions
質問 # 192
A finance company stores confidential data in an Amazon S3 bucket. The company uses Amazon QuickSight to analyze the data and create dashboard reports. The company requires that all data access and connections to QuickSight remain within the company's VPC network boundary.
Which solution will meet these requirements?
- A. Set up a VPC endpoint for QuickSight. Use an Amazon EC2 instance as a proxy to establish a direct connection between the VPC and QuickSight. Create a manifest file that points to the S3 data. Store the manifest on the EC2 instance. Grant QuickSight permission to access the EC2 instance.
- B. Configure a NAT gateway in the company's VPC. Route all data from QuickSight through the NAT gateway to transfer data. Grant QuickSight permission to access the S3 bucket.
- C. Configure an Amazon S3 VPC gateway endpoint. Route all data from QuickSight through the endpoint to transfer data. Grant QuickSight permission to access the S3 bucket.
- D. Create an interface VPC endpoint for QuickSight. Configure the endpoint to connect to QuickSight within the VPC by using AWS PrivateLink. Create a manifest file that points to the S3 data. Grant QuickSight permission to access the S3 bucket.
正解:D
解説:
To keep all QuickSight traffic and data access within the VPC boundary, you must use an interface VPC endpoint for QuickSight via AWS PrivateLink. This provides a private connection from your VPC to the QuickSight service without traversing the public internet. Then QuickSight can read data from S3 (referenced via a manifest file) while staying within the VPC path, as long as the proper S3 permissions are granted.
質問 # 193
A company has many accounts in an organization in AWS Organizations. The company must automate resource provisioning from the organization's management account to the member accounts. Which solution will meet this requirement?
- A. Create an AWS CloudFormation nested stack. Deploy the nested stack to all member accounts.
- B. Create an AWS SAM template. Deploy the template to all member accounts.
- C. Create an AWS CloudFormation change set. Deploy the change set to all member accounts.
- D. Create an AWS CloudFormation stack set. Deploy the stack set to all member accounts.
正解:D
解説:
AWS CloudFormation StackSets automate stack deployment across multiple AWS accounts and Regions from a central administrator account. This is the appropriate CloudFormation feature for provisioning resources from an AWS Organizations management account into member accounts.
質問 # 194
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. 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.
- 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. 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. - D. 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.
正解:B
解説:
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
質問 # 195
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