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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
  • 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 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
  • 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 (Q69-Q74):

NEW QUESTION # 69
A company hosts a database on an Amazon RDS Multi-AZ DB instance. The database is not encrypted. The company's new security policy requires all AWS resources to be encrypted at rest and in transit. What should a CloudOps engineer do to encrypt the database?

Answer: C

Explanation:
Amazon RDS encryption at rest cannot be enabled directly on an existing unencrypted DB instance. AWS guidance states that encryption for an RDS DB instance is enabled when the DB instance is created, not after creation. To convert an unencrypted RDS database to encrypted, the CloudOps engineer must take a snapshot, copy the snapshot while enabling encryption with an AWS KMS key, and then restore a new DB instance from the encrypted snapshot. Restoring from a snapshot creates a new DB instance; it does not overwrite the existing DB instance.
Option C is invalid because Multi- AZ standby replicas cannot be independently encrypted and promoted for this purpose. Therefore, creating an encrypted snapshot copy and restoring it as a new DB instance is correct.


NEW QUESTION # 70
A company has an Amazon S3 bucket that has server-side encryption with AWS KMS keys (SSE-KMS) enabled. Several applications read from the S3 bucket for daily reporting. The company clears the data in the S3 bucket weekly when the company moves the data into a data warehouse.
As more applications read from the S3 bucket, the cost of KMS-related transactions is increasing.
A CloudOps engineer needs to reduce the KMS costs without removing S3 encryption and without losing access to existing objects.
Which solution will meet these requirements with the LEAST operational overhead?

Answer: B

Explanation:
S3 Bucket Keys reduce the number of AWS KMS requests that Amazon S3 makes for objects encrypted with SSE-KMS. Enabling S3 Bucket Keys keeps SSE-KMS encryption in place, can use the existing KMS key, preserves access to existing objects, and reduces KMS-related transaction costs with minimal operational overhead.


NEW QUESTION # 71
A company hosts a static website in an Amazon S3 bucket, accessed globally via Amazon CloudFront.
The Cache-Control max-age header is set to 1 hour, and Maximum TTL is set to 5 minutes. The CloudOps engineer observes that CloudFront is not caching objects for the expected duration.
What is the reason for this issue?

Answer: A

Explanation:
As per the AWS Cloud Operations and Content Delivery documentation, CloudFront determines cache behavior by evaluating both origin headers (e.g., Cache-Control and Expires) and distribution- level TTL settings.
When Cache-Control max-age conflicts with the Maximum TTL configured in CloudFront, the shorter TTL value takes precedence. This results in CloudFront caching content for only 5 minutes instead of 1 hour, despite the origin headers suggesting a longer duration.
AWS documentation explicitly states: "When both origin cache headers and CloudFront TTL settings are defined, CloudFront uses the most restrictive caching period." This mismatch causes the perceived performance drop, as CloudFront frequently revalidates content.
Therefore, Option D is correct -- cache-duration settings conflict with each other, leading to unexpected caching behavior.


NEW QUESTION # 72
A user working in the Amazon EC2 console increased the size of an Amazon Elastic Block Store (Amazon EBS) volume attached to an Amazon EC2 Windows instance. The change is not reflected in the file system.
What should a CloudOps engineer do to resolve this issue?

Answer: B

Explanation:
When an Amazon EBS volume is resized, the new storage capacity is immediately available to the attached EC2 instance. However, EBS does not automatically extend the file system. The CloudOps engineer must manually extend the file system within the operating system to utilize the additional space.
AWS documentation for EC2 and EBS specifies:
"After you increase the size of an EBS volume, use file system-specific tools to extend the file system so that the operating system can use the new storage capacity." On Windows instances, this can be achieved through Disk Management or diskpart commands. On Linux systems, utilities such as growpart and resize2fs are used.
Options B and C do not modify file system metadata and are ineffective. Option D unnecessarily replaces the volume, which adds risk and downtime. Thus, Option A aligns with the Monitoring and Performance Optimization practices of AWS CloudOps by properly extending the file system to recognize the new capacity.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 1* Amazon EBS - Modifying EBS Volumes* Amazon EC2 User Guide - Extending a File System After Resizing a Volume* AWS Well-Architected Framework - Performance Efficiency Pillar


NEW QUESTION # 73
A CloudOps engineer manages the security of accounts in an organization in AWS Organizations. The CloudOps engineer must implement a solution that applies a base configuration to all accounts when the accounts join the organization. Which solution will meet this requirement with the LEAST operational overhead?

Answer: B

Explanation:
AWS CloudFormation StackSets with service-managed permissions can automatically deploy a standardized stack to accounts that are added to targeted organizational units in AWS Organizations. Automatic deployments also keep the configuration aligned as accounts join or leave the organization, providing the required baseline with minimal operational overhead.


NEW QUESTION # 74
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