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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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.
Topic 4	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 5	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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q84-Q89):

NEW QUESTION # 84
A company's CloudOps engineer is troubleshooting communication between the components of an application. The company configured VPC flow logs to be published to Amazon CloudWatch Logs. However, there are no logs in CloudWatch Logs.
What could be blocking the VPC flow logs from being published to CloudWatch Logs?

A. The IAM policy attached to the IAM role for the flow log is missing the logs:CreateLogGroup permission.
B. The VPC is configured for IPv6 addresses.
C. The VPC is peered with another VPC in the AWS account.
D. The IAM policy attached to the IAM role for the flow log is missing the logs:CreateExportTask permission.

Answer: A

Explanation:
Comprehensive Explanation (250-350 words):
VPC Flow Logs require permissions to create log groups and log streams in Amazon CloudWatch Logs. If the IAM role associated with the flow log lacks the logs:CreateLogGroup permission, CloudWatch Logs cannot be created and no logs will appear.
Option B is unrelated because CreateExportTask is used for exporting logs, not publishing them. IPv6 configuration and VPC peering do not prevent flow logs from being delivered.
Ensuring the IAM role has the correct CloudWatch Logs permissions resolves the issue.

NEW QUESTION # 85
A company has an application running on EC2 that stores data in an Amazon RDS for MySQL Single- AZ DB instance. The application requires both read and write operations, and the company needs failover capability with minimal downtime.
Which solution will meet these requirements?

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

Answer: D

Explanation:
According to the AWS Cloud Operations and Database Reliability documentation, Amazon RDS Multi- AZ deployments provide high availability and automatic failover by maintaining a synchronous standby replica in a different Availability Zone.
In the event of instance failure, planned maintenance, or Availability Zone outage, Amazon RDS automatically promotes the standby to primary with minimal downtime (typically less than 60 seconds). The failover is transparent to applications because the DB endpoint remains the same.
By contrast, read replicas (Option B) are asynchronous and do not provide automated failover.
Auto Scaling (Option C) applies to EC2, not RDS. RDS Proxy (Option D) improves connection management but does not add redundancy.
Thus, Option A -- converting the RDS instance into a Multi-AZ deployment -- delivers the required high availability and business continuity with minimal operational effort.

NEW QUESTION # 86
A company uses AWS Systems Manager Session Manager to manage EC2 instances in the eu-west-1 Region. The company wants private connectivity using VPC endpoints.
Which VPC endpoints are required to meet these requirements? (Select THREE.)

A. com.amazonaws.eu-west-1.ec2
B. com.amazonaws.eu-west-1.ec2messages
C. com.amazonaws.eu-west-1.ssmmessages
D. com.amazonaws.eu-west-1.s3
E. com.amazonaws.eu-west-1.ssm
F. com.amazonaws.eu-west-1.states

Answer: B,C,E

Explanation:
The AWS Cloud Operations and Systems Manager documentation states that to use Session Manager privately within a VPC (without internet access), three interface VPC endpoints must be configured:
com.amazonaws.<region>.ssm - enables Systems Manager core API communication.
com.amazonaws.<region>.ec2messages - allows the agent to send and receive messages between EC2 and Systems Manager.
com.amazonaws.<region>.ssmmessages - enables real-time interactive communication for Session Manager connections.
These endpoints ensure secure, private connectivity over the AWS network, eliminating the need for public internet routing.
Endpoints for S3, Step Functions, or EC2 API (Options C, E, F) are not required for Session Manager functionality.
Thus, the correct combination is A, B, and D, aligning with AWS CloudOps best practices for secure, private Systems Manager access.

NEW QUESTION # 87
A CloudOps engineer has used AWS CloudFormation to deploy a serverless application into a production VPC. The application consists of an AWS Lambda function, an Amazon DynamoDB table, and an Amazon API Gateway API. The CloudOps engineer must delete the AWS CloudFormation stack without deleting the DynamoDB table. Which action should the CloudOps engineer take before deleting the AWS CloudFormation stack?

A. Add a Snapshot deletion policy to the DynamoDB resource in the AWS CloudFormation stack.
B. Add a Retain deletion policy to the DynamoDB resource in the AWS CloudFormation stack.
C. Enable termination protection on the AWS CloudFormation stack.
D. Update the application's IAM policy with a Deny statement for the dynamodb:DeleteTable action.

Answer: B

Explanation:
A CloudFormation DeletionPolicy of Retain preserves the DynamoDB table when the stack is deleted. The stack deletion removes the other stack-managed resources, but CloudFormation leaves the retained table in the account so its data and resource remain available.

NEW QUESTION # 88
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 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.
B. 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.
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: B

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 # 89
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