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Amazon SOA-C03 Exam Overview:
| Certification Vendor: |
AWS |
| Exam Name: |
AWS Certified CloudOps Engineer - Associate |
| Exam Number: |
SOA-C03 |
| Passing Score: |
720 (scaled score, out of 100-1000) |
| Available Languages: |
English, Japanese, Simplified Chinese, Korean |
| Exam Format: |
Multiple choice, Multiple response |
| Real Exam Qty: |
65 (50 scored, 15 unscored) |
| Exam Duration: |
130 minutes |
| Related Certifications: |
AWS Certified CloudOps Engineer - Associate |
| Exam Price: |
USD 150 |
| Certificate Validity Period: |
3 years |
| Sample Questions: |
Amazon SOA-C03 Sample Questions |
| Exam Way: |
Online (proctored) or at a testing center (Pearson VUE or PSI) |
| Pre Condition: |
Recommended: 1 year of experience with AWS deployment, management, troubleshooting, networking, and security. Experience in an operations role such as system administrator is helpful. |
| Official Syllabus URL: |
https://docs.aws.amazon.com/aws-certification/latest/sysops-administrator-associate-03/sysops-administrator-associate-03.html |
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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 |
- 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 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.
|
| トピック 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.
|
| トピック 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.
|
| 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.
|
Amazon AWS Certified CloudOps Engineer - Associate 認定 SOA-C03 試験問題 (Q111-Q116):
質問 # 111
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 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.
- C. 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.
- D. 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.
正解:C
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 # 112
A company has an application running on EC2 that stores data in an Amazon RDS for MySQL Single- AZ DB instance. The application requires both read and write operations, and the company needs failover capability with minimal downtime.
Which solution will meet these requirements?
- A. Add a read replica in the same Availability Zone where the DB instance is deployed.
- B. Use RDS Proxy to configure a proxy in front of the DB instance.
- C. Add the DB instance to an Auto Scaling group that has a minimum capacity of 2 and a desired capacity of 2.
- D. Modify the DB instance to be a Multi-AZ DB instance deployment.
正解:D
解説:
According to the AWS Cloud Operations and Database Reliability documentation, Amazon RDS Multi- AZ deployments provide high availability and automatic failover by maintaining a synchronous standby replica in a different Availability Zone.
In the event of instance failure, planned maintenance, or Availability Zone outage, Amazon RDS automatically promotes the standby to primary with minimal downtime (typically less than 60 seconds). The failover is transparent to applications because the DB endpoint remains the same.
By contrast, read replicas (Option B) are asynchronous and do not provide automated failover.
Auto Scaling (Option C) applies to EC2, not RDS. RDS Proxy (Option D) improves connection management but does not add redundancy.
Thus, Option A -- converting the RDS instance into a Multi-AZ deployment -- delivers the required high availability and business continuity with minimal operational effort.
質問 # 113
A company needs to enforce tagging requirements for Amazon DynamoDB tables in its AWS accounts. A CloudOps engineer must implement a solution to identify and remediate all DynamoDB tables that do not have the appropriate tags.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create a custom AWS Lambda function to evaluate and remediate all DynamoDB tables. Create an AWS Config custom rule to invoke the Lambda function.
- B. Create an Amazon EventBridge managed rule to evaluate all DynamoDB tables for the appropriate tags. Configure the EventBridge rule to run an AWS Systems Manager Automation custom runbook for remediation.
- C. Create a custom AWS Lambda function to evaluate and remediate all DynamoDB tables. Create an Amazon EventBridge scheduled rule to invoke the Lambda function.
- D. Use the required-tags AWS Config managed rule to evaluate all DynamoDB tables for the appropriate tags. Configure an automatic remediation action that uses an AWS Systems Manager Automation custom runbook.
正解:D
解説:
According to the AWS Cloud Operations, Governance, and Compliance documentation, AWS Config provides managed rules that automatically evaluate resource configurations for compliance. The "required-tags" managed rule allows CloudOps teams to specify mandatory tags (e.g., Environment, Owner, CostCenter) and automatically detect non-compliant resources such as DynamoDB tables.
Furthermore, AWS Config supports automatic remediation through AWS Systems Manager Automation runbooks, enabling correction actions (for example, adding missing tags) without manual intervention. This automation minimizes operational overhead and ensures continuous compliance across multiple accounts.
Using a custom Lambda function (Options A or B) introduces unnecessary management complexity, while EventBridge rules alone (Option D) do not provide resource compliance tracking or historical visibility.
Therefore, Option C provides the most efficient, fully managed, and compliant CloudOps solution.
質問 # 114
A CloudOps engineer is maintaining a web application that uses an Amazon CloudFront web distribution, an Application Load Balancer (ALB), Amazon RDS, and Amazon EC2 in a VPC. All services have logging enabled. The CloudOps engineer needs to investigate HTTP Layer 7 status codes from the web application.
Which log sources contain the status codes? (Select TWO.)
- A. RDS logs
- B. ALB access logs
- C. AWS CloudTrail logs
- D. VPC Flow Logs
- E. CloudFront access logs
正解:B、E
解説:
Comprehensive Explanation (250-350 words):
Layer 7 (application-layer) HTTP status codes such as 200, 404, and 500 are generated by web-facing services that process HTTP requests. In this architecture, both CloudFront and the Application Load Balancer (ALB) operate at Layer 7 and record HTTP response information in their access logs.
ALB access logs include detailed request and response data such as client IP address, request path, target response status code, and latency. These logs are essential for analyzing how backend EC2 instances respond to client requests.
CloudFront access logs record viewer requests and responses at the edge locations. These logs also include HTTP status codes returned to the client, making them critical for understanding end-user experience and edge-level behavior.
VPC Flow Logs capture network-level (Layer 3 and 4) traffic metadata such as source IP, destination IP, ports, and protocol. They do not contain HTTP status codes. AWS CloudTrail logs API calls to AWS services and does not capture application response codes. RDS logs contain database-related information, not HTTP responses.
Therefore, the correct sources for HTTP Layer 7 status codes are ALB access logs and CloudFront access logs.
質問 # 115
A company's security policy prohibits connecting to Amazon EC2 instances through SSH and RDP. Instead, staff must use AWS Systems Manager Session Manager. Users report they cannot connect to one Ubuntu instance, even though they can connect to others.
What should a CloudOps engineer do to resolve this issue?
- A. Configure the SSM Agent to log in with a user name of "ubuntu".
- B. Generate a new key pair, configure Session Manager to use this new key pair, and provide the private key to the users.
- C. Add an inbound rule for port 22 in the security group associated with the Ubuntu instance.
- D. Assign the AmazonSSMManagedInstanceCore managed policy to the EC2 instance profile for the Ubuntu instance.
正解:D
解説:
According to AWS Cloud Operations and Systems Manager documentation, Session Manager requires that each managed instance be associated with an IAM instance profile that grants Systems Manager core permissions. The required permissions are provided by the AmazonSSMManagedInstanceCore AWS- managed policy.
If this policy is missing or misconfigured, the Systems Manager Agent (SSM Agent) cannot communicate with the Systems Manager service, causing connection failures even if the agent is installed and running. This explains why other instances work-those instances likely have the correct IAM role attached.
Enabling port 22 (Option A) violates the company's security policy, while configuring user names (Option C) and key pairs (Option D) are irrelevant because Session Manager operates over secure API channels, not SSH keys.
Therefore, the correct resolution is to attach or update the instance profile with the AmazonSSMManagedInstanceCore policy, restoring Session Manager connectivity.
Reference: AWS Cloud Operations & Systems Manager Guide - Instance Profile Requirements for Session Manager Connectivity
質問 # 116
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