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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
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
  • 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
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q306-Q311):

NEW QUESTION # 306
A company uses Amazon S3 for object storage. A CloudOps engineer notices that the company's Amazon S3 usage has doubled every month across all the company's S3 buckets for the previous year. The company stores and consumes data in the same AWS Region where the data is generated. The company never accesses data that is older than 30 days. The CloudOps engineer needs to optimize Amazon S3 costs for the company. Which solution will meet this requirement with the LEAST operational overhead?

Answer: B

Explanation:
S3 Lifecycle policies are the correct managed mechanism for automatically expiring objects after a defined age. Because the company never accesses data older than 30 days, an expiration rule can delete objects after 30 days and reduce storage growth without custom code. This has the least operational overhead because S3 performs the expiration automatically. Option A introduces Lambda code, scheduling, permissions, retries, and edge-case handling, which is unnecessary. S3 Storage Lens can identify usage trends and aging objects, but it does not itself delete objects or enforce retention. Option C is vague and not an AWS-managed configuration as written. For CloudOps cost optimization, lifecycle expiration is the standard approach when objects have a predictable retention period and no long-term access requirement.


NEW QUESTION # 307
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?

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 # 308
A security team requires that all Amazon S3 buckets that contain sensitive data must be tagged as "Confidential" and use a restrictive bucket policy. All other buckets must be tagged as
"Nonconfidential".
A CloudOps engineer needs to provide a self-service provisioning mechanism that allows different development teams to create S3 buckets with the appropriate tags and policies applied upon creation.
Which solution will meet these requirements in the MOST reliable way?

Answer: D

Explanation:
AWS Service Catalog provides controlled, self-service provisioning using preapproved products.
Creating separate products for confidential and nonconfidential S3 buckets ensures that each bucket is provisioned from the start with the required classification tag and the correct bucket policy, reducing configuration errors and providing consistent governance across development teams.


NEW QUESTION # 309
A company applies user-defined tags to resources that are associated with the company's AWS workloads. Twenty days after applying the tags, the company notices that it cannot use the tags to filter views in the AWS Cost Explorer console.
What is the reason for this issue?

Answer: D

Explanation:
User-defined (custom) tags must be manually activated as cost allocation tags in the AWS Billing and Cost Management console before they can be used for filtering or grouping data in AWS Cost Explorer or Cost and Usage Reports. After activation, it can take up to 24 hours for the tags to appear in Cost Explorer - not 20 or 30 days.


NEW QUESTION # 310
A company has an internal web application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group in a single Availability Zone. A CloudOps engineer must make the application highly available.
Which action should the CloudOps engineer take to meet this requirement?

Answer: C

Explanation:
Comprehensive Explanation (250-350 words):
High availability for an EC2-based web application behind an ALB is primarily achieved by eliminating single points of failure at the infrastructure layer. A single Availability Zone (AZ) deployment is vulnerable to AZ-level impairment (power/network issues, facility events, or service disruptions). The most direct and standard AWS approach is to distribute the Auto Scaling group across multiple AZs within the same Region.
Updating the Auto Scaling group to use subnets in at least two AZs allows instances to be launched across AZs automatically. The ALB is built to route traffic across targets in multiple AZs, and Auto Scaling can replace unhealthy instances in any enabled AZ. This provides resilience without the complexity of multi- Region architectures.
Options A and B address capacity for peak load but do not address the core availability requirement. Even with more instances, a full AZ outage would still take the entire application down if all instances are in the same AZ.
Option D (multi-Region) can improve resilience further, but it introduces significantly more operational overhead: cross-Region traffic routing, data replication, DNS failover strategy, application state handling, and potentially active-active or active-passive designs. For "make the application highly available" from a single- AZ baseline, multi-AZ in the same Region is the standard, least-overhead improvement.


NEW QUESTION # 311
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