Amazon SOA-C03 Deutsche - SOA-C03 Zertifizierungsfragen

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Amazon SOA-C03 Prüfungsplan:

Thema	Einzelheiten
Thema 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.
Thema 2	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 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.
Thema 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.
Thema 5	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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Amazon AWS Certified CloudOps Engineer - Associate SOA-C03 Prüfungsfragen mit Lösungen (Q11-Q16):

11. Frage
A company hosts a web application on an Amazon EC2 instance. The web server logs are published to Amazon CloudWatch Logs. The log events have the same structure and include the HTTP response codes associated with user requests. The company needs to monitor the number of times the web server returns an HTTP 404 response.
What is the MOST operationally efficient solution that meets these requirements?

A. Create a script that runs a CloudWatch Logs Insights query every hour.
B. Create an AWS Lambda function that runs a CloudWatch Logs Insights query every hour.
C. Create a CloudWatch Logs subscription filter that counts the number of HTTP 404 responses.
D. Create a CloudWatch Logs metric filter that counts the number of times the web server returns an HTTP 404 response.

Antwort: D

Begründung:
Comprehensive Explanation (250-350 words):
CloudWatch Logs metric filters allow log data to be converted into CloudWatch metrics in near real time.
This enables continuous monitoring without custom code or scheduled queries. Metric filters are ideal when log events have a consistent structure and specific patterns, such as HTTP response codes.
By defining a metric filter that matches HTTP 404 responses, CloudWatch can increment a metric each time a
404 occurs. This metric can then be used for dashboards, alarms, and trend analysis. This approach is fully managed, scalable, and requires minimal operational effort.
Options B, C, and D rely on subscription filters or periodic queries, which introduce unnecessary complexity, latency, and maintenance overhead. Therefore, metric filters are the most efficient solution.

12. Frage
A company uses AWS Systems Manager to automate common operational tasks across its AWS resources.
The company wants to automatically collect software inventory of all its Amazon EC2 instances every day.
The solution must store the data in an Amazon S3 bucket for auditing purposes.
Which solution will meet these requirements?

A. Configure Systems Manager Patch Manager to deploy inventory collection agents. Configure Systems Manager Compliance to validate inventory data.
B. Configure Systems Manager Distributor to package inventory collection software. Use Systems Manager Hybrid Activations to scan the inventory every day.
C. Set up Systems Manager Session Manager to connect to EC2 instances. Use Systems Manager Fleet Manager to aggregate inventory results across the environment.
D. Create a Systems Manager association with the AWS-GatherSoftwareInventory document. Schedule the association to run every day on all EC2 instances.

Antwort: D

Begründung:
Systems Manager Inventory is configured through State Manager associations that run inventory collection documents such as AWS-GatherSoftwareInventory. AWS documentation states that configuring inventory collection starts by creating a Systems Manager State Manager association, and Systems Manager collects inventory data when the association runs. Inventory data can be synchronized to an Amazon S3 bucket for auditing and reporting. This directly meets the requirement to collect software inventory every day and store the results in S3. Distributor packages and distributes software; it is not the primary inventory collection mechanism. Patch Manager manages patching, not daily software inventory exports. Session Manager and Fleet Manager are useful for access and fleet visibility but do not provide the scheduled inventory-to-S3 workflow. Therefore, a scheduled Systems Manager association is correct.

13. Frage
A company needs to deploy instances of an application and associated infrastructure to multiple AWS Regions. The company wants to use a single AWS CloudFormation template to achieve this goal. The company uses AWS Organizations and wants to administer and run this template from a central administration account. What should a CloudOps engineer do to meet these requirements?

A. In the central administration account, create a CloudFormation primary template that loads CloudFormation nested stacks from Amazon S3 buckets in the target Regions.
B. Create CloudFormation nested stacks by using a primary template in the central administration account. Configure the required accounts and Regions for deployment of the nested stacks.
C. Create a CloudFormation stack set that includes service-managed permissions. Deploy the stack set into the required accounts and Regions from the central administration account.
D. Create a CloudFormation template that is stored in Amazon S3. Configure Cross-Region Replication (CRR) on the S3 bucket. Reference the required accounts and remote Regions in the input template parameters.

Antwort: C

Begründung:
AWS CloudFormation StackSets are designed specifically for deploying a single CloudFormation template across multiple AWS accounts and multiple AWS Regions. With service-managed permissions, StackSets integrate with AWS Organizations so the administrator does not need to manually create IAM roles in every target account. AWS documentation states that service- managed StackSets can deploy stacks to accounts managed by AWS Organizations in specific Regions and that CloudFormation creates the required IAM roles on your behalf. This directly satisfies central administration, multi-account deployment, and multi-Region deployment. Options A, B, and C add unnecessary complexity and do not provide native organization-wide lifecycle management. Nested stacks are useful for modular templates, not centralized deployment across many accounts and Regions. Therefore, StackSets with service-managed permissions is the correct CloudOps automation approach.

14. Frage
A company's Amazon EC2 instance with high CPU utilization is a t3.large instance running a test web app.
The company determines the app would run better on a compute-optimized large instance.
What should the CloudOps engineer do?

A. Change the instance type to a compute optimized instance while the EC2 instance is running.
B. Stop the EC2 instance. Change the instance type to a compute optimized instance. Start the EC2 instance.
C. Enable hibernation on the EC2 instance. Change the instance type to a compute optimized instance.
Disable hibernation on the EC2 instance.
D. Migrate the EC2 instance to a compute optimized instance by using AWS VM Import/Export.

Antwort: B

Begründung:
As described in the AWS Cloud Operations and EC2 Management documentation, changing an instance type (e.g., from T3 to C5) requires that the instance be stopped first. Once stopped, the engineer can modify the instance type through the AWS Management Console, CLI, or API, then start the instance again to apply changes.
This process preserves the root volume, networking configuration, and data, making it an operationally safe and efficient way to upgrade to a different instance family.
Changing the instance type while running (Option D) is unsupported. VM Import/Export (Option A) is for external VM migration. Hibernation (Option B) does not apply to type changes.
Thus, Option C is correct - stopping the instance, changing its type, and restarting it meets AWS best practices.
Reference: AWS Cloud Operations & Compute Guide - Modifying EC2 Instance Types for Performance Optimization

15. Frage
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.

Antwort: D

Begründung:
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.

16. Frage
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