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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deployment, Provisioning, and Automation | 18% | - Automated deployment pipelines - Infrastructure as Code using AWS CloudFormation - Configuration management and orchestration tools |
| Topic 2: Cost and Performance Optimization | 28% | - Right-sizing and capacity planning - Cost monitoring and optimization strategies - Resource performance tuning |
| Topic 3: Security and Compliance | 18% | - Data protection and encryption - Identity and access management (IAM) - Security monitoring and auditing |
| Topic 4: Monitoring, Logging, and Remediation | 20% | - Centralized logging and log analysis with AWS services - Metrics and monitoring using Amazon CloudWatch - Automated remediation and operational workflows |
| Topic 5: Reliability and Business Continuity | 16% | - High availability and fault tolerance design - Backup and disaster recovery strategies - Data replication and recovery mechanisms |
>> Amazon SOA-C03 Übungsmaterialien <<
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257. Frage
A company stores critical files in an Amazon S3 bucket in the us-east-1 AWS Region. To comply with disaster recovery requirements, all new objects in the bucket must automatically replicate to a bucket in the us- west-2 Region.
Which solution will meet this requirement with the LEAST operational overhead?
Antwort: A
Begründung:
Amazon S3 Cross-Region Replication is the managed feature for automatically replicating newly created objects from a source bucket in one Region to a destination bucket in another Region. This is the correct disaster recovery pattern because replication is handled by S3 without custom code or scheduled copy jobs.
Versioning is required for replication, and in a complete production configuration, versioning must be enabled on both the source and destination buckets. Option A is therefore the best answer, even though the wording mentions only source-bucket versioning. CORS controls browser cross-origin access and has nothing to do with disaster recovery replication. Lambda and EventBridge can copy objects, but this creates more operational overhead and error handling. S3 Lifecycle policies transition or expire objects; they do not replicate new objects across Regions.
258. Frage
A company recently acquired another corporation and all of that corporation's AWS accounts. A financial analyst needs the cost data from these accounts. A CloudOps engineer uses Cost Explorer to generate cost and usage reports. The CloudOps engineer notices that "No Tagkey" represents 20% of the monthly cost. What should the CloudOps engineer do to tag the "No Tagkey" resources?
Antwort: D
Begründung:
AWS Resource Groups Tag Editor is the correct tool for finding and applying tags to AWS resources across services and Regions. Cost Explorer can show cost allocation gaps, including
"No Tagkey," but it is not the tool used to apply tags to resources. Service control policies can enforce permission boundaries, but they do not retroactively tag resources. AWS Config can detect missing required tags and can support remediation workflows, but terminating resources is clearly destructive and does not solve the financial reporting requirement. In CloudOps cost governance, the clean approach is to use Tag Editor to locate untagged or incorrectly tagged resources and apply the appropriate business- unit tags. After tagging, the company should activate cost allocation tags so future Cost Explorer reports correctly allocate spending.
259. Frage
A company runs applications on Amazon EC2 instances. Many of the instances are not patched. The company has a tagging policy. All the instances are tagged with details about the owners, application, and environment.
AWS Systems Manager Agent (SSM Agent) is installed on all the instances.
A SysOps administrator must implement a solution to automatically patch all existing and future instances that have "Prod" in the environment tag. The SysOps administrator plans to create a patch policy in Systems Manager Patch Manager.
Which solution will meet the patching requirements with the LEAST operational overhead?
Antwort: C
Begründung:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answer is A because AWS Systems Manager Patch Manager natively supports tag-based targeting, which automatically includes both existing and future instances that match specified tag criteria.
AWS CloudOps documentation states that patch policies can target managed nodes by instance tags, allowing administrators to dynamically scope patching operations without additional automation.
By defining the patch policy target as instances with an environment tag value of "Prod," Patch Manager automatically applies patch baselines to all matching instances. Any new EC2 instance launched with the same tag is included automatically, requiring no manual intervention or additional services. This approach delivers the least operational overhead while remaining fully scalable and compliant.
Options B, C, and D are incorrect because they introduce unnecessary complexity by adding AWS Lambda functions, resource groups, or EventBridge rules. AWS CloudOps best practices emphasize using native Systems Manager capabilities whenever possible to reduce operational burden and failure points.
References:
AWS Systems Manager User Guide - Patch Manager Tag-Based Targeting
AWS SysOps Administrator Study Guide - Automation and Patch Management
AWS Well-Architected Framework - Operational Excellence
260. Frage
An ecommerce company runs a microservices application on Amazon ECS. Customers sometimes experience high latency when they attempt to complete a purchase through the application. A CloudOps engineer needs a solution to track individual transactions across multiple services to identify where latency is occurring. The solution must require minimal code changes and must provide a visual representation of service dependencies. Which solution will meet these requirements?
Antwort: B
Begründung:
AWS X-Ray is the correct service for distributed tracing across microservices. It tracks individual requests as they travel through application components and provides a service map that visually shows dependencies, latency, errors, and bottlenecks. For Amazon ECS, the X-Ray daemon can run as a sidecar container, and the application can be instrumented with the X-Ray SDK. This requires less effort than building custom transaction tracing and gives the CloudOps engineer request-level visibility across services. CloudWatch agents and Container Insights provide metrics and logs, but they do not trace individual user transactions across multiple services. VPC Flow Logs capture network metadata, not application-level request traces or service dependency maps. Therefore, X-Ray with a sidecar daemon and SDK instrumentation is the correct CloudOps monitoring solution.
261. Frage
An Amazon EC2 instance is running an application that uses Amazon Simple Queue Service (Amazon SQS) queues. A CloudOps engineer must ensure that the application can read, write, and delete messages from the SQS queues.
Which solution will meet these requirements in the MOST secure manner?
Antwort: B
Begründung:
The most secure pattern is to use an IAM role for Amazon EC2 with the minimum required permissions. AWS guidance states: "Use roles for applications that run on Amazon EC2 instances" and "grant least privilege by allowing only the actions required to perform a task." By attaching a role to the instance, short-lived credentials are automatically provided through the instance metadata service; this removes the need to create long-term access keys or embed secrets. Granting only sqs:SendMessage, sqs:ReceiveMessage, and sqs:DeleteMessage against the specific SQS queues enforces least privilege and aligns with CloudOps security controls.
Options A and B rely on IAM user access keys, which contravene best practices for workloads on EC2 and increase credential- management risk. Option C uses a role but grants sqs:*, violating least-privilege principles. Therefore, Option D meets the security requirement with scoped, temporary credentials and precise permissions.
262. Frage
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