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【Hardware】 Reliable SOA-C03 Cram Materials & Exam SOA-C03 Simulations

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Amazon SOA-C03 Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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.

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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q53-Q58):NEW QUESTION # 53
A company is storing backups in an Amazon S3 bucket. These backups must not be deleted for at least 3 months after creation.
What should the CloudOps engineer do?
  • A. Enable S3 Object Lock on a new S3 bucket in governance mode. Place all backups in the new S3 bucket with a retention period of 3 months.
  • B. Configure an IAM policy that denies the s3eleteObject action for all users. Three months after an object is written, remove the policy.
  • C. Enable S3 Versioning on the existing S3 bucket. Configure S3 Lifecycle rules to protect the backups.
  • D. Enable S3 Object Lock on a new S3 bucket in compliance mode. Place all backups in the new S3 bucket with a retention period of 3 months.
Answer: D
Explanation:
Per the AWS Cloud Operations and Data Protection documentation, S3 Object Lock enforces write-once-read-many (WORM) protection on objects for a defined retention period.
There are two modes:
Compliance mode: Even the root user cannot delete or modify objects during the retention period.
Governance mode: Privileged users with special permissions can override lock settings.
For regulatory or audit requirements that prohibit deletion, Compliance mode is the correct choice. When configured with a 3-month retention period, all backup objects are protected from deletion until expiration, ensuring compliance with data retention mandates.
Thus, Option B is the correct CloudOps solution for immutable S3 backups.

NEW QUESTION # 54
A company's ecommerce application is running on Amazon EC2 instances that are behind an Application Load Balancer (ALB). The instances are in an Auto Scaling group. Customers report that the website is occasionally down. When the website is down, it returns an HTTP 500 (server error) status code to customer browsers.
The Auto Scaling group's health check is configured for EC2 status checks, and the instances appear healthy.
Which solution will resolve the problem?
  • A. Update the target group configuration on the ALB. Enable session affinity (sticky sessions).
  • B. Install the Amazon CloudWatch agent on all instances. Configure the agent to reboot the instances.
  • C. Add Elastic Load Balancing (ELB) health checks to the Auto Scaling group.
  • D. Replace the ALB with a Network Load Balancer.
Answer: C
Explanation:
In this scenario, the EC2 instances pass their EC2 status checks, indicating that the operating system is responsive. However, the application hosted on the instance is failing intermittently, returning HTTP 500 errors. This demonstrates a discrepancy between the instance-level health and the application-level health.
According to AWS CloudOps best practices under Monitoring, Logging, Analysis, Remediation and Performance Optimization (SOA-C03 Domain 1), Auto Scaling groups should incorporate Elastic Load Balancing (ELB) health checks instead of relying solely on EC2 status checks. The ELB health check probes the application endpoint (for example, HTTP or HTTPS target group health checks), ensuring that the application itself is functioning correctly.
When an instance fails an ELB health check, Amazon EC2 Auto Scaling will automatically mark the instance as unhealthy and replace it with a new one, ensuring continuous availability and performance optimization.
Extract from AWS CloudOps (SOA-C03) Study Guide - Domain 1:
"Implement monitoring and health checks using ALB and EC2 Auto Scaling integration. Application Load Balancer health checks allow Auto Scaling to terminate and replace instances that fail application-level health checks, ensuring consistent application performance." Extract from AWS Auto Scaling Documentation:
"When you enable the ELB health check type for your Auto Scaling group, Amazon EC2 Auto Scaling considers both EC2 status checks and Elastic Load Balancing health checks to determine instance health. If an instance fails the ELB health check, it is automatically replaced." Therefore, the correct answer is B, as it ensures proper application-level monitoring and remediation using ALB-integrated ELB health checks-a core CloudOps operational practice for proactive incident response and availability assurance.
References (AWS CloudOps Verified Source Extracts):
AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide: Domain 1 - Monitoring, Logging, and Remediation.
AWS Auto Scaling User Guide: Health checks for Auto Scaling instances (Elastic Load Balancing integration).
AWS Well-Architected Framework - Operational Excellence and Reliability Pillars.
AWS Elastic Load Balancing Developer Guide - Target group health checks and monitoring.

NEW QUESTION # 55
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?
  • A. Create an Amazon CloudWatch alarm to monitor application latency and increase the size of each EC2 instance if the desired threshold is reached.
  • B. Deploy the application to an Auto Scaling group of EC2 instances with a target tracking scaling policy. Attach the ALB to the Auto Scaling group.
  • C. Create an Amazon EventBridge rule to monitor application latency and add an EC2 instance to the ALB if the desired threshold is reached.
  • D. Deploy the application to an Auto Scaling group of EC2 instances with a scheduled scaling policy.Attach the ALB to the Auto Scaling group.
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 # 56
A company with millions of subscribers needs to automatically send notifications every Saturday.
The company already uses Amazon SNS to send messages but has historically sent them manually.
Which solution will meet these requirements in the MOST operationally efficient way?
  • A. Launch a new Amazon EC2 instance. Configure a cron job to use the AWS SDK to send an SNS notification to subscribers every Saturday.
  • B. Create an SNS subscription to a message fanout that sends notifications to subscribers every Saturday.
  • C. Use AWS Step Functions scheduling to run a step every Saturday. Configure the step to publish a message to an SNS topic.
  • D. Create a rule in Amazon EventBridge that triggers every Saturday. Configure the rule to publish a notification to an SNS topic.
Answer: D
Explanation:
Per the AWS Cloud Operations and Event Management documentation, Amazon EventBridge provides native scheduling capabilities that can trigger events at defined intervals--such as weekly, daily, or cron-based schedules.
Creating an EventBridge rule that runs every Saturday and publishes a message to an SNS topic fully automates the notification process without maintaining servers or manual jobs. This approach is serverless, highly reliable, and fully managed by AWS.
EC2 cron jobs (Option A) require instance management, patching, and cost overhead.
SNS subscriptions (Option C) handle message delivery, not scheduling.
Step Functions (Option D) are designed for complex workflows, not simple scheduled triggers.
Thus, Option B provides the most operationally efficient CloudOps solution by integrating EventBridge scheduled events with SNS topics for automated, recurring notifications.

NEW QUESTION # 57
A company has a VPC that contains a public subnet and a private subnet. The company deploys an Amazon EC2 instance that uses an Amazon Linux Amazon Machine Image (AMI) and has the AWS Systems Manager Agent (SSM Agent) installed in the private subnet. The EC2 instance is in a security group that allows only outbound traffic.
A CloudOps engineer needs to give a group of privileged administrators the ability to connect to the instance through SSH without exposing the instance to the internet.
Which solution will meet this requirement?
  • A. Create a Systems Manager endpoint in the public subnet. Create an IAM role that has the AmazonSSMManagedInstanceCore permission for the EC2 instance. Create an IAM group for privileged administrators. Assign the AmazonEC2ReadOnlyAccess IAM policy to the IAM group.
  • B. Create a Systems Manager endpoint in the private subnet. Update the security group to allow SSH traffic from the private network where the Systems Manager endpoint is connected. Create an IAM group for privileged administrators. Assign the PowerUserAccess managed policy to the IAM group.
  • C. Create an EC2 Instance Connect endpoint in the public subnet. Update the security group to allow SSH traffic from the private network. Create an IAM group for privileged administrators. Assign the PowerUserAccess managed policy to the IAM group.
  • D. Create an EC2 Instance Connect endpoint in the private subnet. Update the security group to allow inbound SSH traffic. Create an IAM group for privileged administrators. Assign the PowerUserAccess managed policy to the IAM group.
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
EC2 Instance Connect Endpoint (EIC Endpoint) enables SSH to instances in private subnets without public IPs and without needing to traverse the public internet. CloudOps guidance explains that you deploy the endpoint in the same VPC/subnet as the targets, then allow inbound SSH on the instance security group from the endpoint's security group. Access is governed by IAM-administrators must have Instance Connect permissions; while the example uses a broad policy, the key mechanism is EIC in the private subnet plus SG rules scoped to the endpoint. Systems Manager Session Manager can provide shell access without SSH, but the requirement explicitly states "connect through SSH," making EIC the purpose-built solution. Options B and D misuse Systems Manager for SSH and propose unnecessary SG changes or incorrect endpoint placement; Option C places the endpoint in a public subnet, which is not required for private SSH access. Therefore, creating an EC2 Instance Connect endpoint in the private subnet and updating SGs accordingly meets the requirement while keeping the instance non-internet-exposed.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Security and Compliance
* Amazon EC2 - Instance Connect Endpoint (Private SSH Access)
* AWS Well-Architected Framework - Security Pillar (Least Privilege Network Access)

NEW QUESTION # 58
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