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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
  • 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
  • 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 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
  • 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 SOA-C03 Test Questions Answers: AWS Certified CloudOps Engineer - Associate - ITExamDownload High-Efficient Guaranteed Success for your preparing

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q16-Q21):

NEW QUESTION # 16
A company uses an Amazon Simple Queue Service (Amazon SQS) queue and Amazon EC2 instances in an Auto Scaling group with target tracking for a web application. The company collects the ASGAverageNetworkIn metric but notices that instances do not scale fast enough during peak traffic. There are a large number of SQS messages accumulating in the queue.
A CloudOps engineer must reduce the number of SQS messages during peak periods.
Which solution will meet this requirement?

Answer: A

Explanation:
According to the AWS Cloud Operations and Auto Scaling documentation, scaling applications that consume Amazon SQS messages should be driven by queue backlog per instance, not by general system metrics such as network traffic or CPU.
The correct approach is to calculate a custom metric using CloudWatch metric math that divides the SQS metric ApproximateNumberOfMessagesVisible by the number of active EC2 instances in the Auto Scaling group. This "backlog per instance" value represents the average number of messages waiting to be processed by each instance.
Then, the CloudOps engineer can create a target tracking policy that automatically scales out or in based on maintaining a desired backlog threshold. This approach ensures dynamic, workload-driven scaling behavior that reacts in near real time to message volume.
Step and simple scaling (Options C and D) require manual thresholds and do not automatically balance the load per instance.
Thus, Option B-using CloudWatch metric math to define queue backlog per instance for target tracking-is the most effective and AWS-recommended CloudOps practice.
Reference: AWS Cloud Operations & Scaling Guide - Scaling Based on Amazon SQS Queue Backlog Per Instance


NEW QUESTION # 17
A CloudOps engineer has an AWS CloudFormation template of the company's existing infrastructure in us- west-2. The CloudOps engineer attempts to use the template to launch a new stack in eu-west-1, but the stack partially deploys, receives an error message, and then rolls back.
Why would this template fail to deploy? (Select TWO.)

Answer: B,C

Explanation:
Amazon Machine Images (AMIs) are Region-specific. An AMI ID that exists in us-west-2 does not automatically exist in eu-west-1. If a CloudFormation template references a hardcoded AMI ID from one Region, stack creation in another Region will fail when that AMI cannot be found.
Additionally, not all AWS services or service features are available in every AWS Region. If the template includes a resource type or feature that is unsupported in eu-west-1, CloudFormation will fail during stack creation.
IAM users are global resources, not Region-specific, so Option A is incorrect. Permission issues would typically fail immediately and are not Region-dependent. Option E is incorrect because CloudFormation can both create and update resources.
Therefore, Region-specific AMIs and unavailable services are the valid reasons for failure.


NEW QUESTION # 18
A company hosts an encrypted Amazon S3 bucket in the ap-southeast-2 Region. Users from the eu- west-2 Region access the S3 bucket through the internet. The users from eu-west-2 need faster transfers to and from the S3 bucket for large files.
Which solution will meet these requirements?

Answer: B

Explanation:
For users in eu-west-2 transferring large files to/from an S3 bucket in ap-southeast-2 over the public internet, S3 Transfer Acceleration is designed to improve performance by leveraging the AWS global edge network. With Transfer Acceleration enabled, users access the bucket via the acceleration endpoint. Requests enter AWS at the nearest edge location and then traverse the AWS backbone network to the bucket's Region, which typically reduces latency variability and can improve throughput for long-distance transfers.


NEW QUESTION # 19
A company's financial department needs to view the cost details of each project in an AWS account. A CloudOps engineer must perform the initial configuration that is required to view cost for each project in Cost Explorer. Which solution will meet this requirement?

Answer: A

Explanation:
Cost allocation tags allow AWS costs to be categorized by project in Cost Explorer. After activating the relevant tag as a cost allocation tag, the company can apply a project-specific tag to resources and then filter or group Cost Explorer data by that tag to view costs for each project.


NEW QUESTION # 20
A company is running a stateless application. The application consists of a web server and a PostgreSQL database that run on a single Amazon EC2 instance. The EC2 instance becomes overloaded during times of high application traffic, leading to slow response times.
A CloudOps engineer needs to implement a solution to resolve the application's performance issues. The solution must accommodate increased application traffic as the number of users continues to grow. The solution also must make the application highly available.
Which combination of steps will meet these requirements? (Choose two.)

Answer: A,E

Explanation:
Moving the stateless web tier into an Auto Scaling group behind an Application Load Balancer allows the application to scale horizontally as traffic grows and provides high availability across multiple instances. Migrating PostgreSQL to an Amazon RDS Multi-AZ deployment separates the database from the overloaded EC2 instance and provides managed database availability with automatic failover.


NEW QUESTION # 21
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