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| Certification Vendor: | Amazon Web Services (AWS) |
|---|---|
| Exam Name: | AWS Certified SysOps Administrator - Associate (SOA-C03) |
| Exam Number: | SOA-C03 |
| Exam Price: | 150 USD |
| Passing Score: | 720 (scaled score out of 1000) |
| Available Languages: | Simplified Chinese, Spanish (Latin America), Korean, German, English, French, Japanese |
| Related Certifications: | AWS Certified Developer - Associate AWS Certified Solutions Architect - Associate |
| Exam Format: | Multiple choice, Multiple response |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 130 minutes |
| Real Exam Qty: | 65 questions |
| Recommended Training: | AWS Certified SysOps Administrator Associate Training (Official Learning Resources) AWS Skill Builder - SysOps Administrator Learning Path |
| Exam Registration: | AWS Certification Portal AWS Certification Official Registration |
| Sample Questions: | Amazon SOA-C03 Sample Questions |
| Exam Way: | Online proctored or test center delivery |
| Pre Condition: | No formal prerequisites, but AWS recommends at least 1 year of experience managing AWS workloads in a SysOps or cloud operations role. |
| Official Syllabus URL: | https://aws.amazon.com/certification/certified-sysops-administrator-associate/ |
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NEW QUESTION # 243
A company is preparing for a marketing campaign that will increase traffic to a new web application. The application uses Amazon API Gateway and AWS Lambda for the application logic. The application stores relevant user data in an Amazon Aurora MySQL DB cluster that has one Aurora Replica. Database queries for the application are 5% write and 95% read.
What should a CloudOps engineer do to scale the database when traffic increases?
Answer: D
Explanation:
Because the application workload is 95% reads, the best database scaling approach is to add or remove Aurora Replicas. Aurora Auto Scaling can automatically adjust the number of Aurora Replicas in a DB cluster based on metrics such as average CPU utilization or average connections across replicas. This allows the read tier to scale as campaign traffic increases while the primary writer continues to handle the smaller write workload.
Option B is incorrect because Aurora Auto Scaling scales the number of replicas; it does not vertically resize existing replicas. Options C and D are worded around generic AWS Auto Scaling rather than Aurora Auto Scaling and use less appropriate metric relationships. Scaling based on replica CPU utilization directly addresses read pressure. Therefore, configure Aurora Auto Scaling for Aurora Replicas.
NEW QUESTION # 244
A company runs several workloads on AWS. The company identifies five AWS Trusted Advisor service quota metrics to monitor in a specific AWS Region. The company wants to receive email notification each time resource usage exceeds 60% of one of the service quotas.
Which solution will meet these requirements?
Answer: B
Explanation:
Trusted Advisor service quota usage is exposed as CloudWatch metrics, so the simplest approach is to create CloudWatch alarms on each metric with a threshold at 60% utilization and configure them to publish to an SNS topic for email notifications. SNS is the native service for sending email from CloudWatch alarms, making this the most direct and operationally efficient solution.
NEW QUESTION # 245
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: A,D
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 # 246
A CloudOps engineer needs to build an event infrastructure for a set of custom application- specific events. The events must be sent to an AWS Lambda function for processing. The CloudOps engineer must record the events to replay later by event type or event time.
Which solution will meet these requirements?
Answer: D
Explanation:
A custom EventBridge event bus is the correct choice for handling application-specific events.
You can define an archive on that custom event bus to record and later replay events by event type or timestamp. Creating an EventBridge rule to send events to a Lambda function ensures real-time processing while maintaining full replay capability, making this the most flexible and operationally efficient solution.
NEW QUESTION # 247
A CloudOps engineer needs to ensure that AWS resources across multiple AWS accounts are tagged consistently. The company uses an organization in AWS Organizations to centrally manage the accounts. The company wants to implement cost allocation tags to accurately track the costs that are allocated to each business unit.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
Tagging is essential for governance, cost management, and automation in CloudOps operations. The AWS Organizations tag policies feature allows centralized definition and enforcement of required tag keys and accepted values across all accounts in an organization. According to the AWS CloudOps study guide under Deployment, Provisioning, and Automation, tag policies enable automatic validation of tags, ensuring consistency with minimal manual overhead.
Once tagging consistency is enforced, enabling cost allocation tags in the AWS Billing and Cost Management console allows accurate cost distribution per business unit. AWS documentation states:
"Use AWS Organizations tag policies to standardize tags across accounts. You can activate cost allocation tags in the Billing console to track and allocate costs." Option B introduces unnecessary complexity with Lambda automation. Option C detects but does not enforce tagging. Option D limits flexibility to Service Catalog resources only. Therefore, Option A provides a centrally managed, automated, and low-overhead solution that meets CloudOps tagging and cost-tracking requirements.
References:* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 3:
Deployment, Provisioning and Automation* AWS Organizations - Tag Policies* AWS Billing and Cost Management - Cost Allocation Tags* AWS Well-Architected Framework - Operational Excellence and Cost Optimization Pillars
NEW QUESTION # 248
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