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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 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.
Topic 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.
Topic 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.
Topic 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 Sample Questions (Q90-Q95):

NEW QUESTION # 90
A company has an application that runs on Amazon EC2 instances. The application stores data on an Amazon RDS for MySQL Single-AZ DB instance. Requests to the DB instance from the application include reads and writes.
A CloudOps engineer must implement a solution that provides failover for the DB instance. The solution must minimize application downtime.
Which solution will meet these requirements?

A. Modify the DB instance to be a Multi-AZ DB instance deployment.
B. Add the DB instance to an Auto Scaling group that has a minimum capacity of 2 and a desired capacity of 2.
C. Add a read replica in the same Availability Zone where the DB instance is deployed.
D. Use RDS Proxy to configure a proxy in front of the DB instance.

Answer: A

Explanation:
A Multi-AZ RDS deployment maintains a synchronous standby DB instance in another Availability Zone. If the primary DB instance becomes unavailable, Amazon RDS automatically fails over to the standby while preserving the same database endpoint, minimizing application downtime.

NEW QUESTION # 91
A compliance team requires all administrator passwords for Amazon RDS DB instances to be changed at least annually. Which solution meets this requirement in the MOST operationally efficient manner?

A. Store the database credentials as a parameter in the RDS parameter group. Create a database trigger to rotate the password every 365 days.
B. Store the database credentials in a private Amazon S3 bucket. Schedule an AWS Lambda function to generate a new set of credentials every 365 days.
C. Store the database credentials in AWS Secrets Manager. Configure automatic rotation for the secret every 365 days.
D. Store the database credentials in AWS Systems Manager Parameter Store as a secure string parameter. Configure automatic rotation for the parameter every 365 days.

Answer: C

Explanation:
AWS Secrets Manager can securely store RDS administrator credentials and automatically rotate them on a defined schedule. Configuring rotation every 365 days satisfies the annual password- change requirement with minimal ongoing administrative effort.

NEW QUESTION # 92
A company has a stateful web application that is hosted on Amazon EC2 instances in an Auto Scaling group. The instances run behind an Application Load Balancer (ALB) that has a single target group. The ALB is configured as the origin in an Amazon CloudFront distribution. Users are reporting random logouts from the web application.
Which combination of actions should a CloudOps engineer take to resolve this problem? (Choose two.)

A. Change to the least outstanding requests algorithm on the ALB target group.
B. Enable sticky sessions on the ALB target group.
C. Configure cookie forwarding in the CloudFront distribution cache behavior.
D. Configure header forwarding in the CloudFront distribution cache behavior.
E. Enable group-level stickiness on the ALB listener rule.

Answer: B,C

Explanation:
Configure cookie forwarding in the CloudFront distribution cache behavior.
If CloudFront is not forwarding cookies, the origin (ALB/app) will not consistently receive the session cookie, causing users to appear "new" and get logged out. Forwarding cookies ensures the application can maintain user sessions correctly.
Enable sticky sessions on the ALB target group.
The application is stateful and stores session data on individual EC2 instances. Enabling ALB target group stickiness keeps a user's requests going to the same instance, preventing session loss and random logouts as traffic shifts between instances.

NEW QUESTION # 93
A company runs an application that logs user data to an Amazon CloudWatch Logs log group. The company discovers that personal information the application has logged is visible in plain text in the CloudWatch logs.
The company needs a solution to redact personal information in the logs by default. Unredacted information must be available only to the company's security team. Which solution will meet these requirements?

A. Create an Amazon CloudWatch data protection policy for the application log group. Configure data identifiers for the types of personal information that the application logs. Ensure that the security team has permission to call the unmask API operation on the application log group.
B. Create a customer managed AWS KMS key. Configure the KMS key policy to allow only the security team to perform decrypt operations. Associate the KMS key with the application log group.
C. Create an Amazon S3 bucket. Create an export task from appropriate log groups in CloudWatch. Export the logs to the S3 bucket. Configure an Amazon Macie scan to discover personal data in the S3 bucket.
Invoke an AWS Lambda function to move identified personal data to a second S3 bucket. Update the S3 bucket policies to grant only the security team access to both buckets.
D. Create an OpenSearch domain. Create an AWS Glue workflow that runs a Detect PII transform job and streams the output to the OpenSearch domain. Configure the CloudWatch log group to stream the logs to AWS Glue. Modify the OpenSearch domain access policy to allow only the security team to access the domain.

Answer: A

Explanation:
CloudWatch Logs data protection provides native redaction/masking of sensitive data at ingestion and query. AWS documentation states it can "detect and protect sensitive data in logs" using data identifiers, and that authorized users can "use the unmask action to view the original data." Creating a data protection policy on the log group masks PII by default for all viewers, satisfying the requirement to redact personal information. Granting only the security team permission to invoke the unmask API operation ensures that unredacted content is restricted. Option B (KMS) encrypts at rest but does not redact fields; encryption alone does not prevent plaintext visibility to authorized readers. Options A and D add complexity and latency, move data out of CloudWatch, and do not provide default inline redaction/unmask controls in CloudWatch itself. Therefore, the CloudOps-aligned, managed solution is to use CloudWatch Logs data protection with appropriate data identifiers and unmask permissions limited to the security team.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Monitoring & Logging* Amazon CloudWatch Logs - Data Protection (masking/redaction with data identifiers)* CloudWatch Logs - Permissions for masking and unmasking sensitive data* AWS Well-Architected Framework - Security and Operational Excellence (sensitive data handling)

NEW QUESTION # 94
A company uses default settings to create an AWS Lambda function. The function needs to access an Amazon RDS database that is in a private subnet of a VPC. The function has the correct IAM permissions to access the database. The private subnet has appropriate routing configurations and is accessible from within the VPC.
However, the Lambda function is unable to connect to the RDS instance.
What is the likely reason the Lambda function cannot connect to the RDS instance?

A. The security group for the Lambda function does not allow outbound access to the RDS instance.
B. The VPC where the Lambda function is deployed is not peered with the VPC where the RDS instance is deployed.
C. The Lambda function configuration did not deploy the function in the same VPC that contains the RDS instance.
D. The company did not set the RDS instance as the destination for the Lambda function in the function configuration.

Answer: C

Explanation:
By default, a newly created AWS Lambda function is not attached to a customer VPC. In its default configuration, Lambda runs in an AWS-managed network environment and can reach public internet endpoints, but it does not automatically have network-level connectivity into private subnets within a VPC.
Accessing an Amazon RDS instance that is placed in a private subnet requires the Lambda function to be configured for VPC access. This means selecting the target VPC, choosing subnets (typically private subnets with appropriate routing), and associating one or more security groups with the Lambda function's elastic network interfaces (ENIs). Once configured, Lambda creates ENIs in the selected subnets and uses them to communicate with resources such as RDS inside the VPC.
In this scenario, the RDS database is in a private subnet and is reachable from within the VPC, but the Lambda function cannot connect. The most likely cause is that the function was created with default settings and therefore was not deployed into the VPC that contains the database. IAM permissions are not sufficient for network connectivity; IAM controls authorization to call AWS APIs, while VPC attachment and security groups control the network path.
Option A is incorrect because Lambda does not require an "RDS destination" setting; connectivity is established through VPC networking and the database endpoint. Option C is not supported by the prompt; there is no indication that the database is in a different VPC, and the default issue is usually "not in a VPC at all." Option D is less likely because Lambda security groups allow all outbound traffic by default unless explicitly restricted; the more common default failure is lack of VPC configuration.
Therefore, the likely reason is that the Lambda function was not configured to run in the same VPC as the RDS instance.

NEW QUESTION # 95
......

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