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Amazon SOA-C03 Prüfungsplan:

Thema	Einzelheiten
Thema 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.
Thema 2	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.
Thema 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.
Thema 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.
Thema 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.

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Amazon SOA-C03 Fragen und Antworten, AWS Certified CloudOps Engineer - Associate Prüfungsfragen

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Amazon AWS Certified CloudOps Engineer - Associate SOA-C03 Prüfungsfragen mit Lösungen (Q293-Q298):

293. Frage
A CloudOps engineer needs to track the costs of data transfer between AWS Regions. The CloudOps engineer must implement a solution to send alerts to an email distribution list when transfer costs reach 75% of a specific threshold.
What should the CloudOps engineer do to meet these requirements?

A. Create an AWS Cost and Usage Report. Analyze the results in Amazon Athena. Configure an alarm to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic when costs reach
75% of the threshold. Subscribe the email distribution list to the topic.
B. Create an Amazon CloudWatch billing alarm to detect when costs reach 75% of the threshold.
Configure the alarm to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the email distribution list to the topic.
C. Set up a VPC flow log. Set up a subscription filter to an AWS Lambda function to analyze data transfer.
Configure the Lambda function to send a notification to the email distribution list when costs reach
75% of the threshold.
D. Use AWS Budgets to create a cost budget for data transfer costs. Set an alert at 75% of the budgeted amount. Configure the budget to send a notification to the email distribution list when costs reach 75% of the threshold.

Antwort: D

Begründung:
According to the AWS Cloud Operations and Cost Management documentation, AWS Budgets is the recommended service to track and alert on cost thresholds across all AWS accounts and resources. It allows users to define cost, usage, or reservation budgets, and configure notifications to trigger when usage or cost reaches defined percentages of the budgeted value (e.g., 75%, 90%, 100%).
The AWS Budgets system integrates natively with Amazon Simple Notification Service (SNS) to deliver alerts to an email distribution list or SNS topic subscribers. AWS Budgets supports granular cost filters, including specific service categories such as data transfer, regions, or linked accounts, ensuring precise visibility into inter-Region transfer costs.
By contrast, CloudWatch billing alarms (Option B) monitor total account charges only and do not allow detailed service-level filtering, such as data transfer between Regions. Cost and Usage Reports (Option A) are for detailed cost analysis, not real-time alerting, and VPC Flow Logs (Option D) capture traffic data, not billing or cost-based metrics.
Thus, using AWS Budgets with a 75% alert threshold best satisfies the operational and notification requirements.
Reference: AWS CloudOps and Cost Management Guide - Section: AWS Budgets for Cost Monitoring and Alerts

294. Frage
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. CloudFront access logs
C. VPC Flow Logs
D. ALB access logs
E. AWS CloudTrail logs

Antwort: B,D

Begründung:
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.

295. Frage
A company hosts a critical legacy application on two Amazon EC2 instances that are in one Availability Zone. The instances run behind an Application Load Balancer (ALB). The company uses Amazon CloudWatch alarms to send Amazon Simple Notification Service (Amazon SNS) notifications when the ALB health checks detect an unhealthy instance. After a notification, the company's engineers manually restart the unhealthy instance. A CloudOps engineer must configure the application to be highly available and more resilient to failures. Which solution will meet these requirements?

A. Create an Amazon Machine Image (AMI) from a healthy instance. Launch an additional instance from the AMI in the same Availability Zone. Add the new instance to the ALB target group. Create an AWS Lambda function that runs when an instance is unhealthy. Configure the Lambda function to stop and restart the unhealthy instance.
B. Create an Amazon Machine Image (AMI) from a healthy instance. Launch additional instances from the AMI in the same Availability Zone. Add the new instances to the ALB target group.
C. Increase the size of each instance. Create an Amazon EventBridge rule. Configure the EventBridge rule to restart the instances if they enter a failed state.
D. Create an Amazon Machine Image (AMI) from a healthy instance. Create a launch template that uses the AMI. Create an Amazon EC2 Auto Scaling group that is deployed across multiple Availability Zones. Configure the Auto Scaling group to add instances to the ALB target group.

Antwort: D

Begründung:
High availability requires removing single-AZ risk and eliminating manual recovery. The AWS Reliability best practices state to design for multi-AZ and automatic healing: Auto Scaling "helps maintain application availability and allows you to automatically add or remove EC2 instances" (AWS Auto Scaling User Guide). The Reliability Pillar recommends to "distribute workloads across multiple Availability Zones" and to "automate recovery from failure" (AWS Well-Architected Framework ?Reliability Pillar). Attaching the Auto Scaling group to an ALB target group enables health-based replacement: instances failing load balancer health checks are replaced and traffic is routed only to healthy targets. Using an AMI in a launch template ensures consistent, repeatable instance configuration (AWS EC2 Launch Templates). Options A and C keep all instances in a single Availability Zone and rely on manual or ad-hoc restarts, which do not meet high-availability or resiliency goals. Option B only scales vertically and adds a restart rule; it neither removes the single-AZ failure domain nor provides automated replacement. Therefore, creating a multi-AZ EC2 Auto Scaling group with a launch template and attaching it to the ALB target group (Option D) is the CloudOps-aligned solution for resilience and business continuity.

296. Frage
A CloudOps engineer must ensure that all of a company's current and future Amazon S3 buckets have logging enabled. If an S3 bucket does not have logging enabled, an automated process must enable logging for the S3 bucket.
Which solution will meet these requirements?

A. Use AWS Trusted Advisor to perform a check for S3 buckets that do not have logging enabled.
Configure the check to enable logging for S3 buckets that do not have logging enabled.
B. Use the s3-bucket-logging-enabled AWS Config managed rule. Add a remediation action that uses the AWS-ConfigureS3BucketLogging AWS Systems Manager Automation runbook.
C. Configure an S3 bucket policy that requires all current and future S3 buckets to have logging enabled.
D. Use the s3-bucket-logging-enabled AWS Config managed rule. Add a remediation action that uses an AWS Lambda function to enable logging.

Antwort: B

Begründung:
Comprehensive Explanation (250-350 words):
AWS Config is designed to continuously evaluate AWS resource configurations and detect noncompliance.
The s3-bucket-logging-enabled managed rule specifically checks whether server access logging is enabled on S3 buckets. This directly meets the detection requirement for both current and future buckets.
To satisfy the remediation requirement, AWS Config supports automatic remediation actions. Using the AWS-provided AWS-ConfigureS3BucketLogging Systems Manager Automation runbook enables logging without custom code. This reduces operational overhead, avoids Lambda function maintenance, and aligns with AWS best practices.
Option A is incorrect because Trusted Advisor does not support automatic remediation. Option B cannot enforce logging at creation time through bucket policies alone. Option C works but introduces unnecessary Lambda maintenance compared to using an AWS-managed automation runbook.
Thus, combining AWS Config managed rules with Systems Manager Automation provides continuous compliance with minimal operational effort.

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

Antwort: B

Begründung:
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.

298. Frage
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