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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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 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 (Q228-Q233):

NEW QUESTION # 228
A CloudOps engineer needs to control access to groups of Amazon EC2 instances using AWS Systems Manager Session Manager. Specific tags on the EC2 instances have already been added.
Which additional actions should the CloudOps engineer take to control access? (Select TWO.)

Answer: C,E

Explanation:
AWS Systems Manager Session Manager allows secure, auditable instance access without SSH keys or inbound ports. To control access based on instance tags, CloudOps best practices require two configurations:
Attach an IAM policy to users or groups granting ssm:StartSession, ssm:DescribeInstanceInformation, and ssm:DescribeSessions.
Include a Condition element in the IAM policy referencing instance tags, such as Condition: {"StringEquals": {"ssm:resourceTag/Environment": "Production"}}.
This ensures users can start sessions only with instances that have matching tags, providing fine-grained access control.
AWS CloudOps documentation under Security and Compliance states:
"Use IAM policies with resource tags in the Condition element to restrict which managed instances users can access using Session Manager." Options B and D incorrectly suggest attaching roles or service accounts that are not relevant to user-level access control. Option C (placement groups) pertains to networking and performance, not access management. Therefore, A and E together provide tag-based, least-privilege access as required.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 4: Security and Compliance
* AWS Systems Manager User Guide - Controlling Access to Session Manager Using Tags
* AWS IAM Policy Reference - Condition Keys for AWS Systems Manager
* AWS Well-Architected Framework - Security Pillar


NEW QUESTION # 229
A company has a production application that runs on large compute optimized Amazon EC2 instances behind an Application Load Balancer (ALB). The instances are in an Amazon EC2 Auto Scaling group. The Auto Scaling group has a desired capacity of 2, a maximum capacity of 2, and a minimum capacity of 1.
The application is CPU-bound. The EC2 instances show consistent CPU utilization of 90% or greater during peak usage periods. These peak usage periods are unpredictable and cause performance issues and latency issues.
Which solution will automate the resolution of these issues?

Answer: B

Explanation:
The Auto Scaling group cannot scale out because its maximum capacity is already set to 2, the same as the current desired capacity. To automate the resolution, the CloudOps engineer must raise the maximum capacity and configure a scaling policy that adds instances when CPU utilization exceeds the threshold. Since the workload is CPU-bound and peak periods are unpredictable, metric-based scaling is appropriate.


NEW QUESTION # 230
A company's security policy prohibits connecting to Amazon EC2 instances through SSH and RDP. Instead, staff must use AWS Systems Manager Session Manager. Users report they cannot connect to one Ubuntu instance, even though they can connect to others.
What should a CloudOps engineer do to resolve this issue?

Answer: B

Explanation:
According to AWS Cloud Operations and Systems Manager documentation, Session Manager requires that each managed instance be associated with an IAM instance profile that grants Systems Manager core permissions. The required permissions are provided by the AmazonSSMManagedInstanceCore AWS- managed policy.
If this policy is missing or misconfigured, the Systems Manager Agent (SSM Agent) cannot communicate with the Systems Manager service, causing connection failures even if the agent is installed and running. This explains why other instances work-those instances likely have the correct IAM role attached.
Enabling port 22 (Option A) violates the company's security policy, while configuring user names (Option C) and key pairs (Option D) are irrelevant because Session Manager operates over secure API channels, not SSH keys.
Therefore, the correct resolution is to attach or update the instance profile with the AmazonSSMManagedInstanceCore policy, restoring Session Manager connectivity.
Reference: AWS Cloud Operations & Systems Manager Guide - Instance Profile Requirements for Session Manager Connectivity


NEW QUESTION # 231
A company uses AWS Systems Manager to automate common operational tasks across its AWS resources. The company wants to automatically collect software inventory of all its Amazon EC2 instances every day. The solution must store the data in an Amazon S3 bucket for auditing purposes. Which solution will meet these requirements?

Answer: B

Explanation:
Systems Manager Inventory is configured through State Manager associations that run inventory collection documents such as AWS-GatherSoftwareInventory. AWS documentation states that configuring inventory collection starts by creating a Systems Manager State Manager association, and Systems Manager collects inventory data when the association runs. Inventory data can be synchronized to an Amazon S3 bucket for auditing and reporting. This directly meets the requirement to collect software inventory every day and store the results in S3. Distributor packages and distributes software; it is not the primary inventory collection mechanism. Patch Manager manages patching, not daily software inventory exports. Session Manager and Fleet Manager are useful for access and fleet visibility but do not provide the scheduled inventory-to-S3 workflow. Therefore, a scheduled Systems Manager association is correct.


NEW QUESTION # 232
A SysOps administrator needs to give an existing AWS Lambda function access to an existing Amazon S3 bucket. Traffic between the Lambda function and the S3 bucket must not use public IP addresses. The Lambda function has been configured to run in a VPC.
Which solution will meet these requirements?

Answer: B

Explanation:
The requirement is that traffic from a VPC-connected Lambda to Amazon S3 must not use public IP addresses. The AWS-native way to keep traffic private is to use VPC endpoints, which provide private connectivity to supported AWS services without traversing the public internet. Among the options, creating an S3 VPC endpoint is the only approach that satisfies "no public IP addresses" while allowing access to the bucket. Option D is the best match because it explicitly configures an S3 endpoint and directs the Lambda function to use the endpoint-specific DNS name for private routing.


NEW QUESTION # 233
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