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Amazon SOA-C03 Exam Overview:

Certification Vendor:Amazon Web Services (AWS)
Exam Name:AWS Certified CloudOps Engineer - Associate
Exam Number:SOA-C03
Exam Format:Multiple choice, Multiple response
Exam Duration:130 minutes
Exam Price:150 USD
Passing Score:720 (scaled score 100–1000)
Related Certifications:AWS Certified SysOps Administrator - Associate (SOA-C02, retired)
Real Exam Qty:65 (50 scored, 15 unscored)
Certificate Validity Period:3 years
Available Languages:Simplified Chinese, English, Korean, Japanese
Recommended Training:AWS Official Exam Guide
AWS Training and Certification
Exam Registration:AWS Certification Registration
Pearson VUE Scheduling
Sample Questions:Amazon SOA-C03 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended 1 year of experience deploying, managing, and operating workloads on AWS
Official Syllabus URL:https://docs.aws.amazon.com/aws-certification/latest/sysops-administrator-associate-03/sysops-administrator-associate-03.html

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Amazon SOA-C03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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
  • 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.

Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q191-Q196):

NEW QUESTION # 191
A company runs an application on Amazon EC2 instances in an Auto Scaling group. Scale-out actions take a long time because of long-running boot scripts. The CloudOps engineer must reduce scale-out time without overprovisioning.
Which solution will meet these requirements?

Answer: A

Explanation:
An Auto Scaling warm pool keeps pre-initialized instances in a stopped or running state, allowing them to be quickly attached to the Auto Scaling group when scaling events occur. This significantly reduces scale-out latency caused by long bootstrapping scripts.
Unlike increasing the minimum instance count, warm pools do not permanently overprovision resources.
Predictive scaling improves timing but does not eliminate boot time delays.
Therefore, warm pools provide the fastest scale-out with minimal cost overhead.


NEW QUESTION # 192
A company runs a website on Amazon EC2 instances. Users can upload images to an Amazon S3 bucket and publish the images to the website. The company wants to deploy a serverless image-processing application that uses an AWS Lambda function to resize the uploaded images.
The company's development team has created the Lambda function. A CloudOps engineer must implement a solution to invoke the Lambda function when users upload new images to the S3 bucket.
Which solution will meet this requirement?

Answer: A

Explanation:
Use Amazon S3 Event Notifications with AWS Lambda to trigger image processing on object creation. S3 natively supports invoking Lambda for events such as s3:ObjectCreated:*, providing a serverless, low-latency pipeline without managing additional services. AWS operational guidance states that "Amazon S3 can directly invoke a Lambda function in response to object- created events," allowing you to pass event metadata (bucket/key) to the function for resizing and writing results back to S3. This approach minimizes operational overhead, scales automatically with upload volume, and integrates with standard retry semantics. SNS or SQS can be added for fan-out or buffering patterns, but they are not required when the requirement is simply "invoke the Lambda function on upload." CloudWatch alarms do not detect individual S3 object uploads and cannot directly satisfy per-object triggers. Therefore, configuring S3 Lambda event notifications meets the requirement most directly and aligns with CloudOps best practices for event-driven, serverless automation.


NEW QUESTION # 193
A company has a new application that runs on three Amazon EC2 instances. The EC2 instances are spread across three Availability Zones in a single AWS Region. The application is accessible on TCP port 1028. The company wants to balance traffic across all the EC2 instances. Which solution will meet these requirements with the LEAST operational overhead?

Answer: B

Explanation:
A Network Load Balancer is designed to distribute Layer 4 TCP traffic and can listen directly on TCP port 1028. Registering the EC2 instances in a target group allows the load balancer to distribute connections across instances in multiple Availability Zones with minimal operational management.


NEW QUESTION # 194
A company recently acquired another corporation and all of that corporation's AWS accounts. A financial analyst needs the cost data from these accounts. A CloudOps engineer uses Cost Explorer to generate cost and usage reports. The CloudOps engineer notices that "No Tagkey" represents 20% of the monthly cost. What should the CloudOps engineer do to tag the "No Tagkey" resources?

Answer: A

Explanation:
AWS Resource Groups Tag Editor is the correct tool for finding and applying tags to AWS resources across services and Regions. Cost Explorer can show cost allocation gaps, including
"No Tagkey," but it is not the tool used to apply tags to resources. Service control policies can enforce permission boundaries, but they do not retroactively tag resources. AWS Config can detect missing required tags and can support remediation workflows, but terminating resources is clearly destructive and does not solve the financial reporting requirement. In CloudOps cost governance, the clean approach is to use Tag Editor to locate untagged or incorrectly tagged resources and apply the appropriate business- unit tags. After tagging, the company should activate cost allocation tags so future Cost Explorer reports correctly allocate spending.


NEW QUESTION # 195
A company uses AWS Lambda to process files that users upload to an Amazon S3 bucket. When a user uploads a file to the S3 bucket, S3 Event Notifications invokes a Lambda function to process the file.
The company wants to automatically invoke the Lambda function only for flies with a .txt extension that users upload to the S3 bucket.
Which solution will meet these requirements?

Answer: A

Explanation:
S3 Event Notifications can be configured for object creation events and can use suffix filtering so the Lambda function is invoked only when uploaded object keys end with .txt. This directly filters uploads at the S3 notification configuration level before invoking the function.


NEW QUESTION # 196
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