Amazon SOA-C03熱門考古題,SOA-C03考證

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Amazon SOA-C03 考試大綱:
| 主題 | 簡介 |
|---|
| 主題 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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| 主題 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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| 主題 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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| 主題 4 | - 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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| 主題 5 | - 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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最新的 Amazon Associate SOA-C03 免費考試真題 (Q292-Q297):
問題 #292
A company that runs multiple workloads on AWS wants to enhance its security posture by implementing DNS-based threat protection. The company must block DNS-based attacks.
Which solution will meet this requirement?
- A. Configure Amazon Route 53 Resolver to forward DNS queries to Route 53 Resolver DNS Firewall Advanced to detect and filter threats.
- B. Use AWS WAF to inspect DNS traffic for malicious domains. Create custom rules to block known threats.
- C. Deploy AWS Shield Advanced to filter and block malicious DNS queries. Set up domain filtering policies.
- D. Configure AWS Config to monitor DNS queries and DNS traffic patterns. Use an AWS Lambda function to prevent access to malicious domains.
答案:A
解題說明:
Amazon Route 53 Resolver DNS Firewall provides DNS-based threat protection by allowing you to create rule groups that block queries to known malicious domains and apply domain filtering policies across your VPCs. By configuring the Route 53 Resolver to forward DNS queries through the DNS Firewall, you ensure that all DNS traffic is inspected and filtered, effectively blocking DNS-based attacks and malicious domains while keeping DNS resolution within your AWS environment.
問題 #293
A CloudOps engineer must manage the security of an AWS account. Recently, an IAM user's access key was mistakenly uploaded to a public code repository. The engineer must identify everything that was changed using this compromised key.
How should the CloudOps engineer meet these requirements?
- A. Search AWS CloudTrail event history for all events initiated with the compromised access key within the suspected timeframe.
- B. Create an Amazon EventBridge rule to send all IAM events to an AWS Lambda function for analysis.
- C. Query Amazon EC2 logs by using Amazon CloudWatch Logs Insights for all events initiated with the compromised access key within the suspected timeframe.
- D. Search VPC Flow Logs for all events initiated with the compromised access key within the suspected timeframe.
答案:A
解題說明:
According to the AWS Cloud Operations and Security documentation, AWS CloudTrail is the authoritative service for recording API activity across all AWS services within an account.
When an access key is compromised, CloudTrail logs all API requests made using that key, including details such as:
The user identity (access key ID) that made the request,
The service, operation, resource, and timestamp affected, and
The source IP address and region of the request.
By searching the CloudTrail event history for the specific access key ID, the CloudOps engineer can identify every action performed by that key during the suspected breach window.
Other options are incorrect:
EventBridge (A) is event-driven, not historical.
CloudWatch Logs (B) monitors system logs, not AWS API activity.
VPC Flow Logs (D) track network-level traffic, not API calls.
Therefore, the correct solution is Option C - using AWS CloudTrail event history to audit and trace all actions executed via the compromised access key.
問題 #294
A company is using an Amazon Aurora MySQL DB cluster that has point-in-time recovery, backtracking, and automatic backups enabled. A CloudOps engineer needs to be able 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.
答案:B
解題說明:
Comprehensive Explanation (250-350 words):
Amazon Aurora backtracking allows a DB cluster to be rewound to a specific point in time without creating a new DB cluster. This feature is designed for fast recovery from logical errors, such as accidental data changes, within a configured backtrack window. Because backtracking operates directly on the existing cluster, it satisfies the requirement that the restore occur in the same production DB cluster.
Point-in-time recovery (Option D) restores data by creating a new DB cluster, which violates the requirement. Option A involves promoting a replica, which does not allow rolling back to an arbitrary historical point. Option B introduces unnecessary complexity and is not supported for restoring directly into the same cluster.
Backtracking provides near-instant rollback and minimal operational disruption, making it the correct solution.
問題 #295
A company runs an application on an Amazon EC2 instance. The application uses a MySQL database. The EC2 instance has a General Purpose SSD (gp3) Amazon EBS volume attached. The company wants to perform load testing using a new MySQL database created from an EBS snapshot of the production instance.
The new database must perform as similarly as possible to production.
Which solution will meet these requirements in the LEAST amount of time?
- A. Use Amazon EBS fast snapshot restore (FSR) to create a new Provisioned IOPS SSD volume from the production snapshot.
- B. Use Amazon EBS fast snapshot restore (FSR) to create a new General Purpose SSD volume from the production snapshot.
- C. Use Amazon EBS standard snapshot restore to create a new Provisioned IOPS SSD volume from the production snapshot.
- D. Use Amazon EBS standard snapshot restore to create a new General Purpose SSD volume from the production snapshot.
答案:B
解題說明:
Comprehensive Explanation (250-350 words):
Amazon EBS snapshots are stored in Amazon S3, and standard restores can experience higher latency until data blocks are fully retrieved. Fast Snapshot Restore (FSR) eliminates this latency by ensuring that all blocks are immediately available at full performance.
Because the production environment uses a General Purpose SSD (gp3) volume, creating the test database on the same volume type ensures performance characteristics are as similar as possible. Using FSR significantly reduces restore time and allows load testing to begin immediately.
Provisioned IOPS volumes would introduce different performance characteristics and unnecessary cost.
Standard snapshot restore would delay testing due to gradual block hydration.
Therefore, using FSR with the same EBS volume type is the fastest and most accurate solution.
問題 #296
A company has an application that runs on Amazon EC2 instances. The application stores data on an Amazon RDS for MySQL Single-AZ DB instance. Requests to the DB instance from the application include reads and writes.
A CloudOps engineer must implement a solution that provides failover for the DB instance. The solution must minimize application downtime.
Which solution will meet these requirements?
- A. Add a read replica in the same Availability Zone where the DB instance is deployed.
- B. Modify the DB instance to be a Multi-AZ DB instance deployment.
- C. Add the DB instance to an Auto Scaling group that has a minimum capacity of 2 and a desired capacity of 2.
- D. Use RDS Proxy to configure a proxy in front of the DB instance.
答案:B
解題說明:
For Amazon RDS for MySQL, a Multi-AZ DB instance deployment provides synchronous standby replication to another Availability Zone and supports automatic failover if the primary DB instance or Availability Zone fails. This directly meets the requirement for failover while minimizing application downtime. A read replica in the same Availability Zone does not provide the same automatic high-availability failover path and is mainly used for read scaling. Auto Scaling groups apply to EC2 instances, not RDS DB instances. RDS Proxy can improve application connection handling and failover behavior, but it does not by itself create a standby database for a Single-AZ instance. The database must first have a high-availability deployment. Therefore, modifying the DB instance to Multi-AZ is the correct reliability solution.
問題 #297
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