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Pursue Certifications SOA-C03 Examcollection Questions Answers Exam Questions

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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
  • 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 4
  • 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 5
  • 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q70-Q75):NEW QUESTION # 70
A financial services company stores customer images in an Amazon S3 bucket in the us-east-1 Region. To comply with regulations, the company must ensure that all existing objects are replicated to an S3 bucket in a second AWS Region. If an object replication fails, the company must be able to retry replication for the object.
What solution will meet these requirements?
  • A. Use S3 Lifecycle rules to move objects to the destination bucket in a second Region.
  • B. Configure Amazon S3 Cross-Region Replication (CRR). Use S3 Batch Replication to replicate existing objects.
  • C. Configure Amazon S3 Cross-Region Replication (CRR). Use S3 Replication Time Control (S3 RTC) to replicate existing objects.
  • D. Configure Amazon S3 Cross-Region Replication (CRR). Use Amazon S3 live replication to replicate existing objects.
Answer: B
Explanation:
Per the AWS Cloud Operations and S3 Data Management documentation, Cross-Region Replication (CRR) automatically replicates new objects between S3 buckets across Regions. However, CRR alone does not retroactively replicate existing objects created before replication configuration. To include such objects, AWS introduced S3 Batch Replication.
S3 Batch Replication scans the source bucket and replicates all existing objects that were not copied previously. Additionally, it can retry failed replication tasks automatically, ensuring regulatory compliance for complete dataset replication.
S3 Replication Time Control (S3 RTC) guarantees predictable replication times for new objects only-it does not cover previously stored data. S3 Lifecycle rules (Option D) move or transition objects between storage classes or buckets, but not in a replication context.
Therefore, the correct solution is to use S3 Cross-Region Replication (CRR) combined with S3 Batch Replication to ensure all current and future data is synchronized across Regions with retry capability.
Reference: AWS Cloud Operations and S3 Guide - Section: Cross-Region Replication and Batch Replication for Existing Objects

NEW QUESTION # 71
A CloudOps engineer creates an AWS CloudFormation template to define an application stack that can be deployed in multiple AWS Regions. The CloudOps engineer also creates an Amazon CloudWatch dashboard by using the AWS Management Console. Each deployment of the application requires its own CloudWatch dashboard.
How can the CloudOps engineer automate the creation of the CloudWatch dashboard each time the application is deployed?
  • A. Create a script by using the AWS CLI to run the aws cloudformation put-dashboard command with the name of the dashboard. Run the command each time a new CloudFormation stack is created.
  • B. Update the CloudFormation template to define an AWS::CloudWatch:ashboard resource. Specify the name of the existing dashboard in the DashboardName property.
  • C. Export the existing CloudWatch dashboard as JSON. Update the CloudFormation template to define an AWS::CloudWatch:ashboard resource. Include the exported JSON in the resource's DashboardBody property.
  • D. Update the CloudFormation template to define an AWS::CloudWatch:ashboard resource. Use the intrinsic Ref function to reference the ID of the existing CloudWatch dashboard.
Answer: C
Explanation:
According to CloudOps automation and monitoring best practices, CloudWatch dashboards should be provisioned as infrastructure-as-code (IaC) resources using AWS CloudFormation to ensure consistency, repeatability, and version control. AWS CloudFormation supports the AWS::CloudWatch:ashboard resource, where the DashboardBody property accepts a JSON object describing widgets, metrics, and layout.
By exporting the existing dashboard configuration as JSON and embedding it into the CloudFormation template, every deployment of the application automatically creates its corresponding dashboard. This method aligns with the CloudOps requirement for automated deployment and operational visibility within the same stack lifecycle.
AWS documentation explicitly states:
"Use the AWS::CloudWatch:ashboard resource to create a dashboard from your template. You can include the same JSON you use to define a dashboard in the console." Option A requires manual execution. Options C and D incorrectly reference or reuse existing dashboards, failing to produce unique, deployment-specific dashboards.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 1: Monitoring and Logging
* AWS CloudFormation User Guide - Resource Type: AWS::CloudWatch:ashboard
* AWS Well-Architected Framework - Operational Excellence Pillar
* Amazon CloudWatch - Automating Dashboards with Infrastructure as Code

NEW QUESTION # 72
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?
  • A. Use the AWS Health Dashboard to monitor each Trusted Advisor service quota metric. Configure an Amazon Simple Queue Service (Amazon SQS) queue for email notification each time that usage exceeds 60% of one of the service quotas.
  • B. Create five Amazon CloudWatch alarms, one for each Trusted Advisor service quota metric.
    Configure an Amazon Simple Queue Service (Amazon SQS) queue for email notification each time that usage exceeds 60% of one of the service quotas.
  • C. Create five Amazon CloudWatch alarms, one for each Trusted Advisor service quota metric.
    Configure an Amazon Simple Notification Service (Amazon SNS) topic for email notification each time that usage exceeds 60% of one of the service quotas.
  • D. Use the AWS Health Dashboard to monitor each Trusted Advisor service quota metric. Configure an Amazon Simple Notification Service (Amazon SNS) topic for email notification each time that usage exceeds 60% of one of the service quotas.
Answer: C
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 # 73
A company that runs multiple workloads on AWS wants to enhance its security posture by implementing DNS-based threat protection. The company must block DNS-based attacks.
Which solution will meet this requirement?
  • A. Use AWS WAF to inspect DNS traffic for malicious domains. Create custom rules to block known threats.
  • B. Configure Amazon Route 53 Resolver to forward DNS queries to Route 53 Resolver DNS Firewall Advanced to detect and filter threats.
  • C. Configure AWS Config to monitor DNS queries and DNS traffic patterns. Use an AWS Lambda function to prevent access to malicious domains.
  • D. Deploy AWS Shield Advanced to filter and block malicious DNS queries. Set up domain filtering policies.
Answer: B
Explanation:
Amazon Route 53 Resolver DNS Firewall provides DNS-based threat protection by allowing you to create rule groups that block queries to known malicious domains and apply domain filtering policies across your VPCs. By configuring the Route 53 Resolver to forward DNS queries through the DNS Firewall, you ensure that all DNS traffic is inspected and filtered, effectively blocking DNS-based attacks and malicious domains while keeping DNS resolution within your AWS environment.

NEW QUESTION # 74
An AWS CloudFormation template creates an Amazon RDS instance. This template is used to build up development environments as needed and then delete the stack when the environment is no longer required. The RDS-persisted data must be retained for further use, even after the CloudFormation stack is deleted.
How can this be achieved in a reliable and efficient way?
  • A. Create an AWS Lambda function to take a snapshot of the RDS instance, and manually invoke the function before deleting the stack.
  • B. Write a script to continue backing up the RDS instance every five minutes.
  • C. Use the Snapshot Deletion Policy in the CloudFormation template definition of the RDS instance.
  • D. Create a new CloudFormation template to perform backups of the RDS instance, and run this template before deleting the stack.
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
AWS CloudFormation supports the DeletionPolicy attribute to control what happens to a resource when a stack is deleted. For Amazon RDS DB instances, setting DeletionPolicy: Snapshot instructs CloudFormation to retain a final DB snapshot automatically at stack deletion. CloudOps best practice recommends using this native mechanism for data retention and auditability, avoiding manual scripts or out-of-band processes. Options A, B, and D introduce operational overhead and potential human error. With DeletionPolicy set to Snapshot, the environment can be repeatedly created and torn down while preserving data states for later restoration with minimal manual steps. This aligns with IaC principles-declarative, repeatable, and reliable-and supports efficient lifecycle management of ephemeral development stacks.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Deployment, Provisioning and Automation
* AWS CloudFormation User Guide - DeletionPolicy Attribute (Snapshot for RDS)
* AWS Well-Architected Framework - Operational Excellence Pillar

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