Amazon AWS Certified CloudOps Engineer - Associate SOA-C03 Exam Questions

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Total 165 questions
Question 1

A CloudOps engineer is troubleshooting an implementation of Amazon CloudWatch Synthetics. The CloudWatch Synthetics results must be sent to an Amazon S3 bucket.

The CloudOps engineer has copied the configuration of an existing canary that runs on a VPC that has an internet gateway attached. However, the CloudOps engineer cannot get the canary to successfully start on a private VPC that has no internet access.

What should the CloudOps engineer do to successfully run the canary on the private VPC?



Answer : D

CloudWatch Synthetics canaries require connectivity to both CloudWatch and Amazon S3 to function correctly. In a private VPC without internet access, AWS service access must be provided through VPC endpoints.

The canary needs to send metrics, logs, and execution data to CloudWatch, which requires an interface VPC endpoint for CloudWatch. It also needs to store artifacts such as screenshots and HAR files in Amazon S3, which requires a gateway VPC endpoint for S3. Without these endpoints, the canary cannot communicate with required AWS services and will fail to start.

DNS resolution and DNS hostnames must be enabled so the canary can resolve AWS service endpoints to the private IP addresses exposed by the VPC endpoints. This is a mandatory prerequisite for PrivateLink-based service access.

Option B and C incorrectly disable DNS functionality, which breaks service endpoint resolution. Option A includes invalid or irrelevant permissions and does not address private connectivity requirements.

Therefore, enabling DNS support and creating both the CloudWatch interface endpoint and the S3 gateway endpoint is the correct and complete solution.


Question 2

Optimization]

An application runs on Amazon EC2 instances that are in an Auto Scaling group. A CloudOps engineer needs to implement a solution that provides a central storage location for errors that the application logs to disk. The solution must also provide an alert when the application logs an error.

What should the CloudOps engineer do to meet these requirements?



Answer : A

The AWS Cloud Operations and Monitoring documentation specifies that the Amazon CloudWatch Agent is the recommended tool for collecting system and application logs from EC2 instances. The agent pushes these logs into a centralized CloudWatch Logs group, providing durable storage and real-time monitoring.

Once the logs are centralized, a CloudWatch Metric Filter can be configured to search for specific error keywords (for example, ''ERROR'' or ''FAILURE''). This filter transforms matching log entries into custom metrics. From there, a CloudWatch Alarm can monitor the metric threshold and publish notifications to an Amazon SNS topic, which can send email or SMS alerts to subscribed recipients.

This combination provides a fully automated, managed, and serverless solution for log aggregation and error alerting. It eliminates the need for manual cron jobs (Option B), custom scripts (Option D), or Lambda-based log streaming (Option C).


Question 3

A company has a microservice that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). A CloudOps engineer must use Amazon Route 53 to create a record that maps the ALB URL to example.com.

Which type of Route 53 record will meet this requirement?



Answer : C

Route 53 alias records are designed to map custom domain names to AWS resources such as ALBs, CloudFront distributions, and S3 website endpoints. Alias records behave like A records but point to AWS-managed resources instead of IP addresses.

Alias records are preferred over CNAME records because they can be used at the zone apex (example.com), do not incur additional DNS query charges, and automatically track changes to the underlying AWS resource.

A and AAAA records require fixed IP addresses, which ALBs do not provide. CNAME records cannot be used at the root domain.

Therefore, an alias record is the correct solution.


Question 4

A company is running an ecommerce application on AWS. The application maintains many open but idle connections to an Amazon Aurora DB cluster. During times of peak usage, the database produces the following error message: "Too many connections." The database clients are also experiencing errors.

Which solution will resolve these errors?



Answer : B

Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:

The correct solution is B. Configure RDS Proxy, because RDS Proxy is specifically designed to manage and pool database connections for Amazon Aurora and Amazon RDS. AWS CloudOps documentation states that RDS Proxy reduces database load and prevents connection exhaustion by reusing existing connections and managing spikes in application demand.

In this scenario, the ecommerce application maintains many idle connections, which consume database connection slots even when not actively used. During peak traffic, new connections cannot be established, resulting in the ''Too many connections'' error. RDS Proxy sits between the application and the Aurora DB cluster, maintaining a smaller, efficient pool of database connections and multiplexing application requests over those connections.

Option A is incorrect because RCUs and WCUs apply to DynamoDB, not Aurora. Option C is incorrect because enhanced networking improves network throughput and latency but does not manage database connections. Option D is incorrect because changing instance types does not address idle connection buildup and can still result in connection exhaustion.

AWS CloudOps best practices recommend RDS Proxy for applications with connection-heavy workloads, unpredictable traffic patterns, or serverless components.


Amazon RDS User Guide -- RDS Proxy concepts and benefits

Amazon Aurora User Guide -- Managing database connections

AWS SysOps Administrator Study Guide -- Database reliability and scaling

Question 5

A company's reporting job that previously ran in 15 minutes is now taking 1 hour. The application runs on Amazon EC2 and extracts data from an Amazon RDS for MySQL DB instance.

CloudWatch metrics show high Read IOPS even when reports are not running. The CloudOps engineer must improve performance and availability.

Which solution will meet these requirements?



Answer : B

RDS read replicas offload read traffic from the primary database, improving performance and availability. By directing reporting queries to the reader endpoint, the primary instance is freed from heavy read workloads.

ElastiCache is unsuitable for complex SQL reporting. CloudFront cannot front a database. Increasing instance size does not address inefficient read scaling.

Thus, read replicas are the correct solution.


Question 6

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?



Answer : B

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.

AWS documentation explicitly states:

''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.


* AWS Certified CloudOps Engineer -- Associate (SOA-C03) Exam Guide -- Domain 1: Monitoring and Logging

* AWS CloudFormation User Guide -- Resource Type: AWS::CloudWatch::Dashboard

* AWS Well-Architected Framework -- Operational Excellence Pillar

* Amazon CloudWatch -- Automating Dashboards with Infrastructure as Code

Question 7

A CloudOps engineer wants to provide access to AWS services by attaching an IAM policy to multiple IAM users. The CloudOps engineer also wants to be able to change the policy and create new versions.

Which combination of actions will meet these requirements? (Select TWO.)



Answer : B, D

IAM user groups allow permissions to be managed centrally and applied to multiple users simultaneously, making them ideal for scalable access management. Attaching policies to groups ensures that changes propagate automatically to all members.

A customer managed policy supports versioning, reuse, and centralized updates, which meets the requirement to modify policies and manage versions over time. AWS managed policies cannot be edited, and inline policies do not support reuse or versioning across multiple principals.

Option A is invalid because service-linked roles are AWS-managed and not designed for user access. Option E lacks versioning and reusability. Option C does not allow customization.

Therefore, using IAM groups with a customer managed policy is the correct and secure solution.


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