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Amazon SOA-C03 Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 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.

>> SOA-C03 Real Exam Answers <<

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q74-Q79):

NEW QUESTION # 74
A company ' s CloudOps engineer deploys four new Amazon EC2 instances by using the standard Amazon Linux Amazon Machine Image (AMI). The company needs to be able to use AWS Systems Manager to manage the instances. The CloudOps engineer notices that the instances do not appear in the Systems Manager console.
What must the CloudOps engineer do to resolve this issue?

A. Connect to each instance by using SSH. Install Systems Manager Agent on each instance. Configure Systems Manager Agent to start automatically when the instances start up.
B. Use AWS Certificate Manager (ACM) to create a TLS certificate. Import the certificate into each instance. Configure Systems Manager Agent to use the TLS certificate for secure communications.
C. Attach an IAM instance profile to the instances. Ensure that the instance profile contains the AmazonSSMManagedInstanceCore policy.
D. Connect to each instance by using SSH. Create an ssm-user account. Add the ssm-user account to the
/etc/sudoers.d directory.

Answer: C

Explanation:
Standard Amazon Linux AMIs typically already include the Systems Manager Agent. If instances do not appear as managed nodes in Systems Manager, the most common missing requirement is the instance profile permissions that allow the SSM Agent to communicate with Systems Manager service endpoints. The AWS managed policy AmazonSSMManagedInstanceCore grants the required permissions for core Systems Manager functionality. Option A is unnecessary because the standard Amazon Linux AMI already includes SSM Agent in most supported versions. Option B is irrelevant; ACM certificates are not required for SSM Agent registration. Option C is also wrong because the ssm-user account is created and managed by Session Manager when needed; manually creating it does not register the instance. Therefore, attach an IAM instance profile with AmazonSSMManagedInstanceCore.

NEW QUESTION # 75
A company needs to log and audit any principal that publishes messages to Amazon Simple Notification Service (Amazon SNS) topics and Amazon Simple Queue Service (Amazon SQS) queues. The company wants to ensure that all communication with these services uses VPC endpoints.
Which combination of solutions will meet these requirements? (Choose two.)

A. Configure VPC endpoints for Amazon SNS and Amazon SQS. Inspect the vpcEndpoint field in the Amazon CloudWatch logs.
B. Set up AWS CloudTrail. Enable tracking of data events for Amazon SNS and Amazon SQS.
Deliver logs to an Amazon S3 bucket for querying.
C. Create Amazon EventBridge rules to gather Amazon SNS and Amazon SQS events. Store the events in an Amazon S3 bucket.
D. Configure VPC endpoints for Amazon SNS and Amazon SQS. Inspect the vpcEndpointId field in the AWS CloudTrail logs.
E. Use Amazon CloudWatch Logs to collect message content from Amazon SNS and Amazon SQS.
Deliver logs to an Amazon S3 bucket for querying.

Answer: B,D

Explanation:
To meet the requirement to log and audit any principal that publishes to SNS topics and interacts with SQS queues, the correct service is AWS CloudTrail, because CloudTrail records API activity (who did what, when, and from where). Enabling data events (where supported/required for deeper visibility) provides detailed records for operations such as publishing messages and sending/receiving messages. Delivering CloudTrail logs to Amazon S3 provides durable retention and supports querying workflows.
To ensure that communication uses VPC endpoints, the company should configure VPC endpoints for SNS and SQS and then validate usage by inspecting CloudTrail event records.
CloudTrail includes endpoint-related context fields (for example, a VPC endpoint identifier) that allow auditors to confirm that the request path used a VPC endpoint rather than traversing the public internet. This directly addresses the "must use VPC endpoints" control with auditable evidence.

NEW QUESTION # 76
A company runs a web application on three Amazon EC2 instances behind an Application Load Balancer (ALB). The company notices that random periods of increased traffic cause a degradation in the application's performance.
A CloudOps engineer must scale the application to meet the increased traffic.
Which solution meets these requirements?

A. Create an Amazon EventBridge rule to monitor application latency and add an EC2 instance to the ALB if the desired threshold is reached.
B. Create an Amazon CloudWatch alarm to monitor application latency and increase the size of each EC2 instance if the desired threshold is reached.
C. Deploy the application to an Auto Scaling group of EC2 instances with a scheduled scaling policy.Attach the ALB to the Auto Scaling group.
D. Deploy the application to an Auto Scaling group of EC2 instances with a target tracking scaling policy. Attach the ALB to the Auto Scaling group.

Answer: D

Explanation:
Auto Scaling groups with target tracking scaling policies automatically adjust capacity based on real-time demand. This solution is ideal for handling unpredictable and random traffic spikes.
Target tracking scaling maintains a metric, such as average CPU utilization or request count per target, at a defined target value. The Auto Scaling group automatically launches or terminates instances as traffic fluctuates.
Manual scaling, EventBridge-based scaling, or scheduled scaling do not respond dynamically to random traffic patterns.
Therefore, an Auto Scaling group with a target tracking scaling policy is the correct solution.

NEW QUESTION # 77
A company has an application that processes events sequentially by using an Amazon SQS FIFO queue. The company needs a solution that automatically sends notifications to the SQS queue when new objects are uploaded to an Amazon S3 bucket. The solution must maintain message ordering. Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Amazon SNS FIFO topic. Create an event notification on the S3 bucket. Configure the event to send messages to the SNS topic. Subscribe the existing SQS queue to the SNS topic.
B. Create an AWS Lambda function that polls the objects by using the ListObjectsV2 command and detects new objects when the objects are added. Configure the Lambda function to add a message to the SQS queue when new objects are detected.
C. Create an event notification on the S3 bucket. Use the FIFO delivery option. Route the notifications to the existing SQS queue.
D. Create an access point in Amazon S3 Access Points. Configure the access point to send new items to the existing SQS queue.

Answer: A

Explanation:
The intended ordered-delivery architecture is to use a FIFO-capable intermediary and then deliver messages to the SQS FIFO queue. Amazon SNS FIFO topics support ordered message delivery to subscribed SQS FIFO queues. However, be careful: AWS documentation states that Amazon S3 event notifications are not directly compatible with SQS FIFO queues, and S3 native event notifications allow standard SNS destinations, not SNS FIFO destinations. So the cleanest real-world architecture would normally use Amazon EventBridge or Lambda to publish into a FIFO path with an appropriate MessageGroupId. From the provided choices, C is the best conceptual answer because it is the only option that preserves FIFO semantics through SNS FIFO to SQS FIFO. Option B is explicitly invalid for S3-to-SQS FIFO direct delivery. Option A is operationally heavy and unreliable for event detection.

NEW QUESTION # 78
A company uses an Amazon CloudFront distribution to share a file through a signed URL. The company stores the source file in an Amazon S3 bucket and updates the file every day. Users report there is a delay of several days before they see new versions of the file. Occasionally, users report not being able to see a specific day's file. A CloudOps engineer needs to resolve the issue. Which solution will meet this requirement?

A. Use the AWS CLI to recreate the CloudFront signed URL. Update the date-less-than parameter to a date in the future.
B. Update the behavior path pattern of the CloudFront distribution to match the file name.
C. Remove any lifecycle rules that are applied to the S3 bucket.
D. Set all TTL settings to 0 in the CloudFront distribution cache policy.

Answer: D

Explanation:
The symptom of users seeing old versions for several days points directly to CloudFront caching.
If the file is updated daily but the object key remains the same, CloudFront edge locations may continue serving the cached object until the TTL expires. Setting cache TTL values to 0 forces CloudFront to revalidate with the origin instead of serving stale content for long periods. This is the best option from the choices because it resolves delayed visibility of new versions. Removing S3 lifecycle rules does not affect CloudFront cache freshness. Updating the behavior path pattern does not solve stale object delivery if the cache behavior already applies. Extending the signed URL expiration only solves authorization timing; it does not force CloudFront to fetch the latest object version. For production, versioned object names or invalidations would also be strong designs.

NEW QUESTION # 79
......

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