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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
  • 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
  • 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 (Q158-Q163):

NEW QUESTION # 158
A company runs a large number of Amazon EC2 instances for internal departments. The company needs to track the costs of its existing AWS resources by department.
What should a SysOps administrator do to meet this requirement?

Answer: B

Explanation:
Cost allocation tags enable you to categorize and track costs by department or any other organizational dimension. AWS supports two tag types: AWS-generated tags and user-defined tags. To map costs to departments, user-defined cost allocation tags must be created and activated for cost reporting, and then associated with the EC2 instances. This allows Cost Explorer and related billing reports to group and filter costs by the department identifiers defined by the organization.


NEW QUESTION # 159
A company uses multiple Amazon RDS databases to support an application. The application receives all its traffic during weekdays and is idle during weekends. The company wants a solution to automatically manage the RDS DB instances during idle periods to optimize costs.
Which solution will meet these requirements?

Answer: C

Explanation:
The Instance Scheduler on AWS is an AWS-provided solution designed specifically to start and stop AWS resources such as Amazon RDS instances on a defined schedule. This directly aligns with the requirement to automatically manage RDS instances during predictable idle periods, such as weekends, to reduce costs.
RDS instances incur compute charges while running, even if idle. Stopping them during weekends eliminates those charges while retaining storage and backups. Instance Scheduler supports tag-based scheduling, centralized management, and automated start/stop workflows without custom scripting.


NEW QUESTION # 160
A company moves workloads from public subnets to private subnets to improve security. During testing, servers in the private subnets cannot reach an external API. The VPC has a CIDR block of 10.0.0.0/16, two public subnets, two private subnets, one internet gateway, and a NAT gateway in each private subnet.
The company must ensure that workloads in the private subnets can reach the external API.
Which solution will meet this requirement?

Answer: C

Explanation:
Comprehensive Explanation (250-350 words):
For IPv4 traffic, private subnets require a NAT gateway in a public subnet to access the internet. NAT gateways must be deployed in public subnets and associated with an Elastic IP address. Private subnet route tables must direct 0.0.0.0/0 traffic to the NAT gateway.
The question states that NAT gateways are incorrectly placed in private subnets, which cannot provide internet access. Deploying NAT gateways in public subnets resolves this issue and restores outbound connectivity to external APIs.
Option A applies only to IPv6. Option B adds unnecessary complexity. Option D is not applicable because external APIs are not AWS services.


NEW QUESTION # 161
A CloudOps engineer is responsible for a legacy, CPU-heavy application. The application can only be scaled vertically. Currently, the application is deployed on a single t3.large Amazon EC2 instance. The system is showing 90% CPU usage and significant performance latency after a few minutes.
What change should be made to alleviate the performance problem?

Answer: D

Explanation:
The application is CPU-heavy, shows sustained high CPU utilization, and can only scale vertically. Therefore, the correct action is to move to a larger or more appropriate compute-optimized EC2 instance family. The current t3.large is a burstable general-purpose instance. Burstable instances can experience performance limitations if CPU credits are depleted after sustained high CPU usage, which matches the "after a few minutes" latency pattern. Provisioned IOPS helps storage-bound workloads, not CPU-bound workloads.
Adding more t3.large instances is horizontal scaling, which the question explicitly says the application cannot use. Reserved Instances reduce cost commitment but do not improve performance. A compute-optimized instance provides stronger sustained CPU capacity and is the correct performance optimization for a vertically scaled CPU-heavy workload.


NEW QUESTION # 162
A company is planning to host an application on a set of Amazon EC2 instances that are distributed across multiple Availability Zones. The application must be able to scale to millions of requests each second.
A CloudOps engineer must design a solution to distribute the traffic to the EC2 instances. The solution must be optimized to handle sudden and volatile traffic patterns while using a single static IP address for each Availability Zone.
Which solution will meet these requirements?

Answer: C

Explanation:
A Network Load Balancer (NLB) is optimized for high performance and ultra-low latency, capable of handling millions of requests per second. It supports static IP addresses per Availability Zone, making it ideal for applications requiring zonal IP stability and rapid scaling to handle sudden traffic surges. In contrast, Application Load Balancers don't support static IPs directly, and other options like SQS or Global Accelerator don't provide direct traffic distribution to EC2 instances.


NEW QUESTION # 163
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