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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 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.
Topic 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.
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	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 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 AWS Certified CloudOps Engineer - Associate Sample Questions (Q224-Q229):

NEW QUESTION # 224
A SysOps administrator creates a custom Amazon Machine Image (AMI) in the eu-west-2 Region and uses the AMI to launch Amazon EC2 instances. The SysOps administrator needs to use the same AMI to launch EC2 instances in two other Regions: us-east-1 and us-east-2.
What must the SysOps administrator do to use the custom AMI in the additional Regions?

A. Copy the AMI to a new Amazon S3 bucket. Assign access permissions to the AMI for the additional Regions
B. Copy the AMI to the additional Regions
C. Share the AMI to the additional Regions. Assign the required access permissions.
D. Make the AMI public in the Community AMIs section of the AWS Management Console

Answer: B

Explanation:
Amazon Machine Images (AMIs) are Region-specific resources. AWS CloudOps documentation explicitly states that an AMI created in one Region cannot be used to launch instances in another Region unless it is copied to the target Region. Therefore, the SysOps administrator must copy the AMI to both us-east-1 and us-east-2.
The AMI copy process creates a new AMI in each destination Region and automatically copies the underlying snapshots. Once the AMIs exist in the target Regions, they can be referenced in launch templates, Auto Scaling groups, or AWS CloudFormation templates for consistent multi- Region deployments.

NEW QUESTION # 225
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?

A. Ensure that the DNS resolution option and the DNS hostnames option are turned off in the VPC.
Add a security group to the canary to allow outbound traffic on the DNS port. Add the permissions to allow CloudWatch Synthetics to write to the S3 bucket.
B. Ensure that the DNS resolution option and the DNS hostnames option are turned on in the VPC.Create an interface VPC endpoint for CloudWatch. Create a gateway VPC endpoint for Amazon S3. Add the permissions to allow CloudWatch Synthetics to use both endpoints.
C. Ensure that the DNS resolution option and the DNS hostnames option are turned off in the VPC.
Create a gateway VPC endpoint for Amazon S3. Add the permissions to allow CloudWatch Synthetics to use the S3 endpoint.
D. Ensure that the DNS resolution option and the DNS hostnames option are turned on in the VPC.
Add the synthetics:GetCanaryRuns permission to the VPC. On the S3 bucket, add the IgnorePublicAcls permission to the CloudWatch Synthetics role.

Answer: B

Explanation:
When a CloudWatch Synthetics canary runs inside a private VPC, it must access CloudWatch and S3 privately for publishing logs, metrics, and storing results. Because there is no internet access, the canary requires:
- DNS resolution and hostnames enabled for proper endpoint resolution.
- An interface VPC endpoint for CloudWatch, so the canary can communicate with the CloudWatch service privately.
- A gateway VPC endpoint for S3, to allow results to be written to the S3 bucket without internet access.

NEW QUESTION # 226
A medical research company uses an Amazon Bedrock powered AI assistant with agents and knowledge bases to provide physicians quick access to medical study protocols. The company needs to generate audit reports that contain user identities, usage data for Bedrock agents, access data for knowledge bases, and interaction parameters.
Which solution will meet these requirements?

A. Use AWS CloudTrail to log API events from generative AI workloads. Store the events in CloudTrail Lake. Use SQL-like queries to generate reports.
B. Use AWS CloudTrail to capture generative AI application logs. Stream the logs to Amazon Managed Service for Apache Flink. Use SQL queries to generate reports.
C. Use Amazon CloudWatch to capture generative AI application logs. Stream the logs to Amazon OpenSearch Service. Use an OpenSearch dashboard visualization to generate reports.
D. Use Amazon CloudWatch to log API events from generative AI workloads. Send the events to an Amazon S3 bucket. Use Amazon Athena queries to generate reports.

Answer: A

Explanation:
As per AWS Cloud Operations, Bedrock, and Governance documentation, AWS CloudTrail is the authoritative service for capturing API activity and audit trails across AWS accounts. For Amazon Bedrock
, CloudTrail records all user-initiated API calls, including interactions with agents, knowledge bases, and generative AI model parameters.
Using CloudTrail Lake, organizations can store, query, and analyze CloudTrail events directly without needing to export data. CloudTrail Lake supports SQL-like queries for generating audit and compliance reports, enabling the company to retrieve information such as user identity, API usage, timestamp, model or agent ID, and invocation parameters.
In contrast, CloudWatch focuses on operational metrics and log streaming, not API-level identity data.
OpenSearch or Flink would add unnecessary complexity and cost for this use case.
Thus, the AWS-recommended CloudOps best practice is to leverage CloudTrail with CloudTrail Lake to maintain auditable, queryable API activity for Bedrock workloads, fulfilling governance and compliance requirements.
Reference: AWS Cloud Operations & Governance Guide - Section: Auditing and Governance for Generative AI Workloads Using AWS CloudTrail and CloudTrail Lake

NEW QUESTION # 227
A company plans to host an application on Amazon EC2 instances distributed across multiple Availability Zones. The application must scale to millions of requests per second and handle sudden and volatile traffic patterns. The solution must use a single static IP address per Availability Zone.
Which solution will meet these requirements?

A. Network Load Balancer
B. Application Load Balancer
C. Amazon Simple Queue Service (Amazon SQS)
D. AWS Global Accelerator

Answer: D

Explanation:
AWS Global Accelerator provides static IP addresses (one per Availability Zone) and routes traffic over the AWS global network to optimal endpoints. It is designed for applications that require extremely high throughput, low latency, and rapid response to traffic spikes.
Global Accelerator automatically routes traffic to healthy endpoints and shifts traffic in response to failures or performance degradation. It supports sudden and volatile traffic patterns and integrates seamlessly with ALBs, NLBs, and EC2 instances.
ALBs and NLBs do not provide static IP addresses per AZ. SQS is not a traffic distribution service.
Therefore, AWS Global Accelerator is the correct solution.

NEW QUESTION # 228
A company uses memory-optimized Amazon EC2 instances behind a Network Load Balancer (NLB) to run an application. The company launched the EC2 instances from an AWS-provided Red Hat Enterprise Linux (RHEL) AMI.
A CloudOps engineer must monitor RAM utilization in 5-minute intervals. The CloudOps engineer must ensure that the EC2 instances scale in and out appropriately based on incoming load.
Which solution will meet these requirements?

A. Configure detailed monitoring for the EC2 instances. Configure the Amazon CloudWatch agent on the EC2 instances. Create an EC2 Auto Scaling group and Auto Scaling policy that is based on the mem_active metric.
B. Configure basic monitoring for the EC2 instances. Use the standard mem_used_percent metric for monitoring. Create an EC2 Auto Scaling group and Auto Scaling policy that is based on the mem_used_percent metric.
C. Configure basic monitoring for the EC2 instances. Configure the Amazon CloudWatch agent on the EC2 instances. Create an IAM role that allows the CloudWatch agent to upload data. Create an EC2 Auto Scaling group and Auto Scaling policy that is based on the mem_used_percent metric.
D. Configure detailed monitoring for the EC2 instances. Use the mem_used_percent metric that the detailed monitoring feature provides. Create an IAM role that allows the CloudWatch agent to upload data. Create an EC2 Auto Scaling group and Auto Scaling policy that is based on the mem_used_percent metric.

Answer: C

Explanation:
EC2 does not publish RAM utilization as a native CloudWatch metric by default. Memory metrics such as mem_used_percent are typically collected by the CloudWatch Agent, which runs on the instance and publishes custom metrics to CloudWatch. Because the requirement is RAM utilization at 5-minute intervals, the CloudWatch Agent can be configured to emit metrics at that cadence (or faster).
"Detailed monitoring" for EC2 mainly affects EC2-provided metrics (like CPU) by changing the period from 5 minutes (basic) to 1 minute (detailed). It does not magically provide memory utilization. Therefore, the key requirement is installing/configuring the CloudWatch Agent and ensuring it has permissions to publish metrics (via an IAM role attached to the instance / instance profile).

NEW QUESTION # 229
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