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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
  • 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 (Q38-Q43):

NEW QUESTION # 38
A company's AWS accounts are in an organization in AWS Organizations. The organization has all features enabled. The accounts use Amazon EC2 instances to host applications. The company manages the EC2 instances manually by using the AWS Management Console. The company applies updates to the EC2 instances by using an SSH connection to each EC2 instance.
The company needs a solution that uses AWS Systems Manager to manage all the organization's current and future EC2 instances. The latest version of Systems Manager Agent (SSM Agent) is running on the EC2 instances.
Which solution will meet these requirements?

Answer: B

Explanation:
AWS CloudOps automation best practices recommend using AWS Systems Manager Quick Setup for organization-wide management and configuration of EC2 instances. The Default Host Management Configuration Quick Setup automatically enables Systems Manager capabilities such as Patch Manager, Inventory, Session Manager, and Automation across all managed instances within the organization.
When deployed from the management account, Quick Setup automatically integrates with AWS Organizations to propagate configuration and permissions to existing and future accounts. This meets the requirement for organization-wide management with no manual configuration or SSH access.
"You can use Quick Setup in the management account of an organization in AWS Organizations to configure Systems Manager capabilities for all accounts and Regions. Quick Setup automatically keeps configurations up to date." Options B, C, and D require custom deployments or manual IAM updates, lacking centralized automation. Therefore, Option A fully satisfies CloudOps standards for automated provisioning and ongoing management of EC2 instances across an organization.


NEW QUESTION # 39
A CloudOps engineer needs to create a report that shows how many bytes are sent to and received from each target group member for an Application Load Balancer (ALB).
Which combination of steps should the CloudOps engineer take to meet these requirements? (Select TWO.)

Answer: A,D

Explanation:
ALB access logs contain request-level records that include byte counts and target information. To report bytes sent to and received from each target group member, the CloudOps engineer should enable ALB access logging and store the logs in Amazon S3. Then Amazon Athena can query the log files and aggregate received_bytes and sent_bytes by the target address and port fields. AWS Athena documentation provides table definitions for ALB access logs and supports querying those logs directly from S3. Installing the CloudWatch agent on targets is unnecessary because the required data is in ALB logs, not instance OS metrics. The ProcessedBytes CloudWatch metric is useful for aggregate load balancer traffic but does not provide per-target member reporting. Grouping by client port is also wrong because the requirement is per target member.


NEW QUESTION # 40
A web application runs on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). During rolling updates, application initialization and cold starts cause 30- second latency spikes. A CloudOps engineer needs to keep latency flat by pre-initializing capacity. The CloudOps engineer must reuse instances across waves without extending the maintenance window. Which solution will meet these requirements?

Answer: D

Explanation:
An Auto Scaling warm pool keeps pre-initialized instances ready before they are placed into service. This is exactly what the scenario needs because cold starts during rolling updates are causing latency spikes. By using stopped instances that have already completed initialization, replacement capacity can join the Auto Scaling group faster and with less runtime warmup impact. Instance reuse also allows instances to return to the warm pool after scale-in or refresh waves, reducing repeated initialization overhead. Target tracking with instance warmup prevents scaling decisions from being distorted while new instances stabilize. Options B, C, and D do not directly pre-initialize application capacity. Predictive scaling forecasts demand, but it does not solve cold-start latency during controlled deployment waves. Warm pools are the purpose-built CloudOps feature for this requirement.


NEW QUESTION # 41
A company is migrating a legacy application to AWS. The application runs on EC2 instances across multiple Availability Zones behind an Application Load Balancer (ALB). The target group routing algorithm is set to weighted random, and the application requires session affinity (sticky sessions).
After deployment, users report random application errors that were not present before migration, even though target health checks are passing.
Which solution will meet this requirement?

Answer: D

Explanation:
According to the AWS Cloud Operations and Elastic Load Balancing documentation, Application Load Balancer (ALB) supports multiple routing algorithms to distribute requests among targets:
* Round robin (default)
* Least outstanding requests (LOR)
* Weighted random
When applications require session affinity, AWS recommends using "least outstanding requests" as the load balancing algorithm because it reduces latency, distributes load evenly, and ensures consistent target responsiveness during high traffic.
Using weighted random routing with sticky sessions can cause sessions to be routed inconsistently if one target's capacity fluctuates, leading to session mismatches and application errors - especially when user sessions rely on instance-specific state.
Disabling cross-zone balancing (Option C) or adjusting deregistration delay (Option D) does not address routing inconsistency. Anomaly mitigation (Option B) protects against target performance degradation, not sticky-session misrouting.
Therefore, the correct solution is Option A - changing the target group's routing algorithm to least outstanding requests ensures smoother, predictable session handling and resolves random application errors.
Reference: AWS Cloud Operations & Load Balancing Guide - Optimizing Application Load Balancer Routing Algorithms for Stateful Applications


NEW QUESTION # 42
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: B

Explanation:
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.


NEW QUESTION # 43
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