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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 5
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q177-Q182):

NEW QUESTION # 177
A company has users that deploy Amazon EC2 instances that have more volume performance capacity than is required. A CloudOps engineer needs to review all Amazon Elastic Block Store (Amazon EBS) volumes that are associated with the instances and create cost optimization recommendations based on IOPS and throughput.
What should the CloudOps engineer do to meet these requirements in the MOST operationally efficient way?

Answer: A

Explanation:
The requirement is to produce cost optimization recommendations for EBS volumes based on IOPS and throughput, and to do so with the most operational efficiency across potentially many instances and volumes.
AWS Compute Optimizer is the most suitable service because it analyzes historical utilization metrics and configuration characteristics to generate rightsizing recommendations. When enabled, Compute Optimizer evaluates EBS volume performance patterns (including throughput and IOPS consumption) and can recommend more appropriate volume types or settings to reduce cost while meeting performance needs.
Option C is operationally efficient because it centralizes analysis. Instead of manually inspecting per-volume graphs, Compute Optimizer aggregates and evaluates data over time, reducing human effort and improving consistency. After sufficient observation time, the CloudOps engineer can review the findings and translate them into concrete actions such as reducing provisioned IOPS on io1/io2, selecting gp3 with tuned IOPS
/throughput, or resizing volumes that are over-provisioned relative to actual demand.
Option A is manual and does not directly address IOPS/throughput rightsizing; it also incorrectly focuses on consumed space versus provisioned space, which is more relevant to capacity than performance provisioning.
Option B is unrelated: EBS-optimized is an EC2 feature for dedicated EBS bandwidth and does not rightsize EBS volume performance or reduce over-provisioned IOPS/throughput. Option D introduces significant operational overhead by installing benchmarking tools and running synthetic tests, which is not scalable, can affect production performance, and still may not reflect real workload patterns.
Therefore, enabling AWS Compute Optimizer and using its EBS volume recommendations is the most operationally efficient approach.


NEW QUESTION # 178
A company runs a website from Sydney, Australia. Users in the United States (US) and Europe are reporting that images and videos are taking a long time to load. However, local testing in Australia indicates no performance issues. The website has a large amount of static content in the form of images and videos that are stored in Amazon S3. Which solution will result in the MOST improvement in the user experience for users in the US and Europe?

Answer: A

Explanation:
Amazon CloudFront caches static content such as images and videos at edge locations close to users worldwide. This reduces network latency and the distance that content must travel from the S3 origin in Australia, significantly improving load times for users in the US and Europe.


NEW QUESTION # 179
A company has a stateful web application that is hosted on Amazon EC2 instances in an Auto Scaling group. The instances run behind an Application Load Balancer (ALB) that has a single target group. The ALB is configured as the origin in an Amazon CloudFront distribution. Users are reporting random logouts from the web application.
Which combination of actions should a CloudOps engineer take to resolve this problem? (Choose two.)

Answer: C,D

Explanation:
Configure cookie forwarding in the CloudFront distribution cache behavior.
If CloudFront is not forwarding cookies, the origin (ALB/app) will not consistently receive the session cookie, causing users to appear "new" and get logged out. Forwarding cookies ensures the application can maintain user sessions correctly.
Enable sticky sessions on the ALB target group.
The application is stateful and stores session data on individual EC2 instances. Enabling ALB target group stickiness keeps a user's requests going to the same instance, preventing session loss and random logouts as traffic shifts between instances.


NEW QUESTION # 180
A company uses a large number of Linux-based Amazon EC2 instances to run business operations. The company uses AWS Systems Manager to manage the EC2 instances. The company wants to ensure that the Systems Manager Agent (SSM Agent) is always up to date with the latest version. Which solution will meet this requirement in the MOST operationally efficient way?

Answer: D

Explanation:
Systems Manager Fleet Manager provides an Auto update SSM Agent setting that automatically keeps SSM Agent current across managed EC2 instances. This uses built-in Systems Manager functionality and avoids custom GitHub, SNS, Lambda, or Run Command automation.


NEW QUESTION # 181
A company runs thousands of Amazon EC2 instances that are based on the Amazon Linux 2 Amazon Machine Image (AMI). A SysOps administrator must implement a solution to record commands and output from any user that needs an interactive session on one of the EC2 instances. The solution must log the data to a durable storage location. The solution also must provide automated notifications and alarms that are based on the log data.
Which solution will meet these requirements with the MOST operational efficiency?

Answer: D

Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The most operationally efficient solution is C because AWS Systems Manager Session Manager is purpose- built for secure, auditable interactive access to EC2 instances at scale-without managing bastion hosts or distributing SSH keys. Session Manager can be configured to log session activity, including commands and output, to durable destinations such as Amazon CloudWatch Logs (and optionally Amazon S3). This directly satisfies the requirement to record interactive sessions and store logs durably.
For automated notifications and alarms, CloudWatch Logs supports metric filters that transform matching log patterns into CloudWatch metrics. Those metrics can then drive CloudWatch alarms and notifications (for example, via Amazon SNS). This is a standard CloudOps pattern: centralize logs, derive metrics from security-relevant patterns, and alert automatically.
Option A and D require installing and operating agents and building a more complex analytics path (Athena queries for alerting), which is less efficient and introduces more moving parts across thousands of instances.
Option B adds a bastion host dependency that becomes an operational burden (scaling, patching, hardening, HA) and a potential choke point. Session Manager reduces these burdens by using SSM Agent already installed, IAM-based access control, and centralized logging/monitoring integrations.
References:
AWS Systems Manager User Guide - Session Manager and session logging to CloudWatch Logs/S3 Amazon CloudWatch Logs User Guide - Metric filters and alarms from log patterns AWS SysOps Administrator Study Guide - Centralized logging, auditing, and operational monitoring


NEW QUESTION # 182
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