SOA-C03 Testking, SOA-C03 Prüfungsaufgaben

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Amazon SOA-C03 Prüfungsplan:

Thema	Einzelheiten
Thema 1	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 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	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 4	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 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 Prüfungsaufgaben & SOA-C03 Quizfragen Und Antworten

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Amazon AWS Certified CloudOps Engineer - Associate SOA-C03 Prüfungsfragen mit Lösungen (Q281-Q286):

281. Frage
A company uses an AWS Lambda function to process user uploads to an Amazon S3 bucket.
The Lambda function runs in response to Amazon S3 PutObject events.
A SysOps administrator needs to set up monitoring for the Lambda function. The SysOps administrator wants to receive a notification through an Amazon Simple Notification Service (Amazon SNS) topic if the function takes more than 10 seconds to process an event.
Which solution will meet this requirement?

A. Configure an Amazon CloudWatch metric filter to capture the runtime of the Lambda function. Set the function's timeout setting to 10 seconds. Create an SNS subscription to alert the SysOps administrator if the function times out.
B. Collect Amazon CloudWatch logs for the Lambda function. Create a metric filter to extract the PostRuntimeExtensionsDuration metric from the logs. Create a CloudWatch alarm to publish a notification to the SNS topic when the function runtime exceeds 10 seconds.
C. Collect Amazon CloudWatch metrics for the Lambda function to extract the function runtime.
Create a CloudWatch alarm to publish a notification to the SNS topic when the runtime exceeds
10 seconds.
D. Use Amazon CloudWatch Logs Insights to query Lambda logs for the function runtime. Set up a CloudWatch alarm based on the query result. Configure Amazon SNS to send notifications when function runtime exceeds 10 seconds.

Antwort: C

Begründung:
AWS Lambda automatically publishes operational metrics to Amazon CloudWatch, including Duration, which represents the time a function invocation takes to run. To alert when processing time exceeds 10 seconds, the most direct and operationally efficient solution is to create a CloudWatch alarm on the Lambda Duration metric and configure the alarm action to publish to an SNS topic. This meets the monitoring requirement without requiring log parsing or additional query mechanisms.
Option B fits best because it uses the built-in metric stream for Lambda observability:
CloudWatch metrics are near real-time, require minimal configuration, and alarms are a standard CloudOps practice for proactive notification. The alarm can be configured with the appropriate statistic (for example, Maximum or p99 via metric math where applicable) and a threshold of
10,000 milliseconds, ensuring the operations team is notified before performance degrades further.

282. Frage
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. Search VPC Flow Logs for all events initiated with the compromised access key within the suspected timeframe.
C. Create an Amazon EventBridge rule to send all IAM events to an AWS Lambda function for analysis.
D. Query Amazon EC2 logs by using Amazon CloudWatch Logs Insights for all events initiated with the compromised access key within the suspected timeframe.

Antwort: A

Begründung:
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.
Reference: AWS Cloud Operations & Security Management Guide - Investigating Compromised Access Keys Using AWS CloudTrail

283. Frage
A company hosts a production MySQL database on an Amazon Aurora single-node DB cluster. The database is queried heavily for reporting purposes. The DB cluster is experiencing periods of performance degradation because of high CPU utilization and maximum connections errors. A CloudOps engineer needs to improve the stability of the database.
Which solution will meet these requirements?

A. Create a second Aurora MySQL single-node DB cluster in a second Availability Zone. Ensure that all reporting requests use the connection string for this additional node.
B. Create an Aurora Replica node. Create an Auto Scaling policy to scale replicas based on CPU utilization. Ensure that all reporting requests use the read-only connection string.
C. Create an AWS Lambda function that caches reporting requests. Ensure that all reporting requests call the Lambda function.
D. Create a multi-node Amazon ElastiCache cluster. Ensure that all reporting requests use the ElastiCache cluster. Use the database if the data is not in the cache.

Antwort: B

Begründung:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
Amazon Aurora supports up to 15 Aurora Replicas that share the same storage volume and provide read scaling and improved availability. Official guidance states that replicas "offload read traffic from the writer" and that you should direct read-only workloads to the reader endpoint, reducing CPU pressure and connection counts on the primary. Aurora also supports Replica Auto Scaling through Application Auto Scaling policies using metrics such as CPU utilization or connections to add or remove replicas automatically. This design addresses both high CPU and maximum connections by moving reporting traffic to read replicas while keeping a single write primary for OLTP. Option B creates a separate cluster with independent storage, increasing operational overhead and data synchronization complexity. Options C and D introduce application- layer caching changes that may not guarantee data freshness or relieve the write node directly. Therefore, adding read replicas and routing reporting to the reader endpoint, with auto scaling based on load, is the least intrusive, CloudOps-aligned way to stabilize performance.
References:* Amazon Aurora - Replicas and Reader Endpoint (Aurora User Guide)* Aurora Replica Auto Scaling (Aurora & Application Auto Scaling Guides)* AWS Well-Architected Framework - Reliability & Performance Efficiency

284. Frage
A company must retain all Amazon S3 objects for 90 days for compliance reasons. Additionally, the company must retain all changes to objects for 90 days. Therefore, the company enables S3 Versioning on the bucket. The company does not delete S3 objects even after the retention period ends. The company notices that S3 costs are increasing. The company wants to reduce storage costs. Which solution will meet these requirements with the LEAST operational overhead?

A. Use Amazon EventBridge to watch for S3 object creation events. Schedule an AWS Lambda function to run in 90 days to delete the object.
B. Write an AWS Lambda function that checks S3 object version age. Create a delete marker for any object older than 90 days.
C. Set an S3 Lifecycle rule to automatically delete S3 object versions older than 90 days.
D. Use AWS Backup to migrate objects out of the S3 bucket after 90 days.

Antwort: C

Begründung:
Because S3 Versioning is enabled, each object update creates additional object versions. If old versions are never removed, storage costs keep increasing even when only the latest version is needed operationally. The lowest-overhead solution is to configure an S3 Lifecycle rule to expire noncurrent object versions after the required 90-day compliance retention period. This preserves object changes for the required window and then automatically removes older versions to reduce cost. Option A is not ideal because creating delete markers affects current object visibility and does not clean up old noncurrent versions efficiently. Option C adds unnecessary backup complexity. Option D creates excessive event scheduling and Lambda management overhead.
S3 Lifecycle is the native cost-optimization control for versioned-object retention.

285. Frage
A CloudOps engineer creates an AWS CloudFormation template to define an application stack that can be deployed in multiple AWS Regions. The CloudOps engineer also creates an Amazon CloudWatch dashboard by using the AWS Management Console. Each deployment of the application requires its own CloudWatch dashboard.
How can the CloudOps engineer automate the creation of the CloudWatch dashboard each time the application is deployed?

A. Export the existing CloudWatch dashboard as JSON. Update the CloudFormation template to define an AWS::CloudWatch::Dashboard resource. Include the exported JSON in the resource's DashboardBody property.
B. Update the CloudFormation template to define an AWS::CloudWatch::Dashboard resource.Specify the name of the existing dashboard in the DashboardName property.
C. Update the CloudFormation template to define an AWS::CloudWatch::Dashboard resource. Use the intrinsic Ref function to reference the ID of the existing CloudWatch dashboard.
D. Create a script by using the AWS CLI to run the aws cloudformation put-dashboard command with the name of the dashboard. Run the command each time a new CloudFormation stack is created.

Antwort: A

Begründung:
According to CloudOps automation and monitoring best practices, CloudWatch dashboards should be provisioned as infrastructure-as-code (IaC) resources using AWS CloudFormation to ensure consistency, repeatability, and version control. AWS CloudFormation supports the AWS::CloudWatch::Dashboard resource, where the DashboardBody property accepts a JSON object describing widgets, metrics, and layout.
By exporting the existing dashboard configuration as JSON and embedding it into the CloudFormation template, every deployment of the application automatically creates its corresponding dashboard. This method aligns with the CloudOps requirement for automated deployment and operational visibility within the same stack lifecycle.
"Use the AWS::CloudWatch::Dashboard resource to create a dashboard from your template. You can include the same JSON you use to define a dashboard in the console." Option A requires manual execution. Options C and D incorrectly reference or reuse existing dashboards, failing to produce unique, deployment-specific dashboards.

286. Frage
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