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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
  • 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
  • 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 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 (Q176-Q181):

NEW QUESTION # 176
A company's application servers in AWS account 111122223333 use a security group sg-1234abcd. They need to access a database hosted in account 444455556666. The VPCs are connected using a VPC peering connection (pcx-b04deed9).
A CloudOps engineer must configure the database's security group to allow new connections only from the application servers.
What should the engineer do?

Answer: C

Explanation:
According to AWS Cloud Operations and VPC Networking documentation, when VPCs are peered, security groups can reference peer account security groups directly to restrict traffic between them.
This feature allows specifying the security group ID (sg-1234abcd) from the source account (111122223333) in the target database's security group inbound rule. AWS automatically validates that the VPCs are connected through an existing VPC peering connection and that mutual permissions are properly configured.
You do not prefix the security group ID with the account or peering connection (Options A and B), and using the destination account ID (Option D) is incorrect because it represents the database side, not the source.
Hence, the correct configuration is Option C, which references the application servers' security group directly for precise, least-privilege access control.


NEW QUESTION # 177
A company runs databases on Amazon RDS for MySQL DB instances. The company must generate database backups every 12 hours for all the DB instances. The company must retain the backups for 5 years. A CloudOps engineer needs to develop an automated solution to generate and retain the database backups. Which solution will meet these requirements with the LEAST operational overhead?

Answer: A

Explanation:
AWS Backup is the most operationally efficient solution for scheduled, long-term retention of RDS backups. It can define backup plans with schedules, retention periods, backup vaults, and lifecycle controls. A 12-hour backup frequency and 5-year retention policy are straightforward to manage through AWS Backup. RDS automated backups are useful for point-in-time recovery, but they do not support a 5-year retention period; their retention window is limited. EventBridge or Lambda snapshot automation could create snapshots, but would require custom logic for retention, monitoring, failures, and compliance evidence. Copying snapshots to S3 manually is not the normal RDS backup workflow. Therefore, AWS Backup provides the managed backup policy framework required for long retention and low operational overhead.


NEW QUESTION # 178
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: B

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 # 179
A company runs a web application on three Amazon EC2 instances behind an Application Load Balancer (ALB). The company notices that random periods of increased traffic cause a degradation in the application's performance.
A CloudOps engineer must scale the application to meet the increased traffic.
Which solution meets these requirements?

Answer: B

Explanation:
Auto Scaling groups with target tracking scaling policies automatically adjust capacity based on real-time demand. This solution is ideal for handling unpredictable and random traffic spikes.
Target tracking scaling maintains a metric, such as average CPU utilization or request count per target, at a defined target value. The Auto Scaling group automatically launches or terminates instances as traffic fluctuates.
Manual scaling, EventBridge-based scaling, or scheduled scaling do not respond dynamically to random traffic patterns.
Therefore, an Auto Scaling group with a target tracking scaling policy is the correct solution.


NEW QUESTION # 180
A company applies user-defined tags to resources that are associated with the company's AWS workloads. Twenty days after applying the tags, the company notices that it cannot use the tags to filter views in the AWS Cost Explorer console.
What is the reason for this issue?

Answer: B

Explanation:
User-defined (custom) tags must be manually activated as cost allocation tags in the AWS Billing and Cost Management console before they can be used for filtering or grouping data in AWS Cost Explorer or Cost and Usage Reports. After activation, it can take up to 24 hours for the tags to appear in Cost Explorer - not 20 or 30 days.


NEW QUESTION # 181
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