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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	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 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.
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 (Q226-Q231):

NEW QUESTION # 226
A media company hosts a public news and video portal on AWS. The portal uses an Amazon DynamoDB table with provisioned capacity to maintain an index of video files that are stored in an Amazon S3 bucket.
During a recent event, millions of visitors came to the portal for news. This increase in traffic caused read requests to be throttled in the DynamoDB table. Videos could not be displayed in the portal.
The company's operations team manually increased the provisioned capacity on a temporary basis to meet the demand. The company wants the operations team to receive an alert before the table is throttled in the future.
The company has created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the operations team's email address to the SNS topic.
What should the company do next to meet these requirements?

A. Configure the application to store logs in Amazon CloudWatch Logs. Create an Amazon CloudWatch metric filter to pattern match the THROTTLING_EXCEPTION status code from DynamoDB. Create a CloudWatch alarm for the metric. Select the SNS topic for notifications.
B. Turn on Amazon CloudWatch Logs for the DynamoDB table. Create an Amazon CloudWatch metric filter to pattern match the THROTTLING_EXCEPTION status code from DynamoDB. Create a CloudWatch alarm for the metric. Select the SNS topic for notifications.
C. Create an Amazon CloudWatch alarm that uses the ConsumedReadCapacityUnits metric. Set the alarm threshold to a value that is close to the DynamoDB table's provisioned capacity. Configure the alarm to publish notifications to the SNS topic.
D. Turn on auto scaling on the DynamoDB table. Configure an Amazon EventBridge rule to publish notifications to the SNS topic during scaling events.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is to alert before throttling occurs. For a DynamoDB table in provisioned capacity mode, throttling happens when demand approaches or exceeds provisioned throughput. CloudWatch provides direct table metrics such as ConsumedReadCapacityUnits and ProvisionedReadCapacityUnits (and related utilization signals). Creating an alarm on ConsumedReadCapacityUnits with a threshold set close to the table' s provisioned read capacity provides an early warning that the table is nearing its limit-before actual throttling prevents reads. The alarm can publish directly to the existing SNS topic so the operations team is notified proactively.
Option C and D focus on detecting throttling after it occurs by matching throttling exceptions in logs. That is reactive and violates "before throttled." Option B (auto scaling) may reduce the likelihood of throttling, but it does not directly satisfy the alerting requirement and "scaling events" notifications are not a reliable proxy for
"approaching throttle" (and may not fire early enough depending on scaling configuration). The simplest, most direct CloudOps approach is a CloudWatch alarm on consumption nearing provisioned capacity.
References:
Amazon DynamoDB Developer Guide - Provisioned capacity, throttling behavior, CloudWatch metrics Amazon CloudWatch User Guide - Alarms and SNS notifications AWS SysOps Administrator Study Guide - Monitoring DynamoDB and capacity planning

NEW QUESTION # 227
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 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.
B. Create an AWS Lambda function that caches reporting requests. Ensure that all reporting requests call the Lambda function.
C. 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.
D. 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.

Answer: A

Explanation:
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.

NEW QUESTION # 228
A finance company stores confidential data in an Amazon S3 bucket. The company uses Amazon QuickSight to analyze the data and create dashboard reports. The company requires that all data access and connections to QuickSight remain within the company's VPC network boundary.
Which solution will meet these requirements?

A. Configure a NAT gateway in the company's VPC. Route all data from QuickSight through the NAT gateway to transfer data. Grant QuickSight permission to access the S3 bucket.
B. Configure an Amazon S3 VPC gateway endpoint. Route all data from QuickSight through the endpoint to transfer data. Grant QuickSight permission to access the S3 bucket.
C. Set up a VPC endpoint for QuickSight. Use an Amazon EC2 instance as a proxy to establish a direct connection between the VPC and QuickSight. Create a manifest file that points to the S3 data. Store the manifest on the EC2 instance. Grant QuickSight permission to access the EC2 instance.
D. Create an interface VPC endpoint for QuickSight. Configure the endpoint to connect to QuickSight within the VPC by using AWS PrivateLink. Create a manifest file that points to the S3 data. Grant QuickSight permission to access the S3 bucket.

Answer: D

Explanation:
To keep all QuickSight traffic and data access within the VPC boundary, you must use an interface VPC endpoint for QuickSight via AWS PrivateLink. This provides a private connection from your VPC to the QuickSight service without traversing the public internet. Then QuickSight can read data from S3 (referenced via a manifest file) while staying within the VPC path, as long as the proper S3 permissions are granted.

NEW QUESTION # 229
A company uses AWS Organizations to manage its AWS accounts. A CloudOps engineer must create a backup strategy for all Amazon EC2 instances across all the company ' s AWS accounts.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Deploy an AWS Lambda function to each account to run EC2 instance snapshots on a scheduled basis.
B. Use a service control policy (SCP) to run EC2 instance snapshots on a scheduled basis in each account.
C. Create an AWS CloudFormation stack set in the management account to add an AutoBackup=True tag to every EC2 instance.
D. Use AWS Backup in the management account to deploy policies for all accounts and resources.

Answer: D

Explanation:
AWS Backup is the correct centrally managed service for backup policies across AWS accounts. When integrated with AWS Organizations, AWS Backup can apply backup policies from a management or delegated administrator account to member accounts. This provides centralized scheduling, lifecycle configuration, monitoring, and compliance visibility without deploying custom Lambda code into every account. AWS documentation describes AWS Backup as a fully managed service that centralizes and automates data protection across AWS services and removes the need for custom scripts and manual processes. CloudFormation StackSets can deploy tags or supporting resources, but tagging alone does not create a complete backup strategy. SCPs define permission guardrails; they do not run backup jobs or snapshots. Therefore, AWS Backup organization-wide policies are the most operationally efficient solution.

NEW QUESTION # 230
A retail company runs a web application. The application uses an Application Load Balancer (ALB) to distribute traffic across multiple Amazon EC2 instances in two Availability Zones. The application experiences high traffic during flash sales. The company needs to ensure even distribution of requests across all healthy instances. Additionally, the company requires session persistence for shopping cart functionality. Which configuration will meet these requirements with the LEAST administrative effort?

A. Configure the ALB listener with path-based routing to direct shopping cart requests to a dedicated target group with sticky sessions. Use the round robin algorithm without stickiness for a second target group.
B. Configure the ALB target group to use the round robin algorithm. Enable stickiness and cross- zone load balancing.
C. Configure the ALB target group to use the weighted round robin algorithm. Implement session persistence by using AWS Lambda functions to store session data in Amazon DynamoDB.
D. Switch the ALB to a Network Load Balancer. Modify the target group to use the least outstanding requests algorithm. Enable stickiness. Disable cross-zone load balancing.

Answer: B

Explanation:
An Application Load Balancer can distribute traffic across healthy targets by using the round robin routing algorithm. Enabling cross-zone load balancing helps spread requests evenly across instances in multiple Availability Zones, and enabling target group stickiness provides session persistence for users who need shopping cart continuity.

NEW QUESTION # 231
......

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