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| Section | Weight | Objectives |
|---|
| Networking and Content Delivery | 18% | - Implement and manage networking configurations
- 1. Configure VPCs, subnets, route tables, and internet gateways
- 2. Implement VPC peering, AWS Transit Gateway, and VPN connections
- Configure DNS and content delivery
- 1. Manage Amazon Route 53 hosted zones and routing policies
- 2. Configure Amazon CloudFront distributions
- Implement network security and troubleshooting
- 1. Configure network access control lists (NACLs) and security groups
- 2. Troubleshoot network connectivity issues using VPC Flow Logs
|
| Security and Compliance | 16% | - Ensure compliance requirements are met
- 1. Use AWS Config, AWS CloudTrail, and Amazon GuardDuty for compliance monitoring
- 2. Enforce compliance requirements (e.g., Region and service selections)
- Implement data protection
- 1. Manage SSL/TLS certificates using AWS Certificate Manager
- 2. Configure encryption at rest and in transit
- Implement and manage security controls
- 1. Configure IAM users, groups, roles, and policies
- 2. Implement security groups, NACLs, and AWS WAF
|
| Reliability and Business Continuity | 22% | - Implement high availability and fault tolerance
- 1. Deploy resources across multiple Availability Zones
- 2. Configure multi-AZ and multi-Region architectures
- Implement backup and recovery strategies
- 1. Implement disaster recovery procedures and test recovery processes
- 2. Configure AWS Backup for automated backups
- Implement scalability and elasticity
- 1. Implement load balancing strategies using ELB
- 2. Configure Auto Scaling groups and policies
|
| Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Implement remediation actions based on monitoring and logging data
- 1. Configure automated remediation using AWS Systems Manager, AWS Lambda, or Amazon EventBridge
- 2. Troubleshoot and resolve operational issues using monitoring data
- Implement metrics, alarms, and filters by using AWS monitoring and logging services
- 1. Configure AWS monitoring and logging by using AWS services (e.g., Amazon CloudWatch, AWS CloudTrail)
- 2. Configure and manage the CloudWatch agent to collect metrics and logs from EC2 instances, Amazon ECS clusters, or Amazon EKS clusters
- 3. Create and manage CloudWatch alarms, dashboards, and metric filters
- Optimize performance of AWS resources
- 1. Implement performance tuning for EC2 instances, databases, and other AWS services
- 2. Use AWS Compute Optimizer and AWS Trusted Advisor for performance recommendations
|
| Deployment, Provisioning, and Automation | 22% | - Provision and maintain AWS resources
- 1. Create and manage infrastructure as code using AWS CloudFormation and AWS CDK
- 2. Manage stacks of resources by using CloudFormation
- Manage configuration and secrets
- 1. Use AWS Systems Manager Parameter Store and AWS Secrets Manager
- 2. Implement configuration management strategies
- Implement automation for operational tasks
- 1. Automate deployments using AWS CodeDeploy, AWS CodePipeline
- 2. Use AWS Systems Manager for patch management and maintenance
|
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q123-Q128):
NEW QUESTION # 123
An environment consists of 100 Amazon EC2 Windows instances. The Amazon CloudWatch agent is deployed and running on all EC2 instances with a baseline configuration file to capture log files. There is a new requirement to capture DHCP log files that exist on 50 of the instances.
What is the MOST operationally efficient way to meet this new requirement?
- A. Run the CloudWatch agent configuration wizard on each EC2 instance and add DHCP logs manually.
- B. Create an additional CloudWatch agent configuration file to capture the DHCP logs. Use AWS Systems Manager Run Command to restart the CloudWatch agent on each EC2 instance with the append-config option.
- C. Log in to each EC2 instance with administrator rights and create a PowerShell script to push logs to CloudWatch.
- D. Run the CloudWatch agent configuration wizard on each EC2 instance and select the advanced detail level.
Answer: B
Explanation:
Comprehensive Explanation (250-350 words):
The CloudWatch agent supports modular configuration using the append-config option, which allows additional log sources to be added without overwriting the existing baseline configuration. This makes it ideal for incremental log collection changes across large fleets.
By creating a separate configuration file specifically for DHCP logs and using Systems Manager Run Command, the CloudOps engineer can remotely update only the relevant instances in a scalable and automated manner. This approach avoids manual login and preserves the existing baseline configuration.
Options B and C require manual intervention on each instance, which is not scalable or operationally efficient.
Option D captures additional logs indiscriminately and does not specifically target DHCP logs, potentially increasing noise and cost.
Therefore, Option A is the most efficient and AWS-recommended approach.
NEW QUESTION # 124
An application runs on Amazon EC2 instances that are in an Auto Scaling group. A CloudOps engineer needs to implement a solution that provides a central storage location for errors that the application logs to disk. The solution must also provide an alert when the application logs an error.
What should the CloudOps engineer do to meet these requirements?
- A. Deploy and configure the Amazon CloudWatch agent on the EC2 instances to log to a CloudWatch log group. Create a metric filter on the target CloudWatch log group. Create a CloudWatch alarm that publishes to an Amazon Simple Notification Service (Amazon SNS) topic that has an email subscription.
- B. Deploy an AWS Lambda function that pushes the errors directly to Amazon CloudWatch Logs.
Configure the Lambda function to run every time the log file is updated on disk. - C. Create a cron job on the EC2 instances to identify errors and push the errors to an Amazon CloudWatch metric filter. Configure the filter to publish to an Amazon Simple Notification Service (Amazon SNS) topic that has an SMS subscription.
- D. Create an Auto Scaling lifecycle hook that invokes an EC2-based script to identify errors. Configure the script to push the error messages to an Amazon CloudWatch log group when the EC2 instances scale in.Create a CloudWatch alarm that publishes to an Amazon Simple Notification Service (Amazon SNS) topic that has an email subscription when the number of error messages exceeds a threshold.
Answer: A
Explanation:
The AWS Cloud Operations and Monitoring documentation specifies that the Amazon CloudWatch Agent is the recommended tool for collecting system and application logs from EC2 instances. The agent pushes these logs into a centralized CloudWatch Logs group, providing durable storage and real-time monitoring.
Once the logs are centralized, a CloudWatch Metric Filter can be configured to search for specific error keywords (for example, "ERROR" or "FAILURE"). This filter transforms matching log entries into custom metrics. From there, a CloudWatch Alarm can monitor the metric threshold and publish notifications to an Amazon SNS topic, which can send email or SMS alerts to subscribed recipients.
This combination provides a fully automated, managed, and serverless solution for log aggregation and error alerting. It eliminates the need for manual cron jobs (Option B), custom scripts (Option D), or Lambda- based log streaming (Option C).
Reference: AWS Cloud Operations & Monitoring Guide - Collecting Application Logs and Creating Alarms Using CloudWatch Agent, Metric Filters, and SNS Notifications
NEW QUESTION # 125
A company hosts a web application on Amazon EC2 instances behind an Application Load Balancer. The instances are in an Amazon EC2 Auto Scaling group. The application is accessed with a public URL.
A CloudOps engineer needs to implement a monitoring solution that checks the availability of the application and follows the same routes and actions as a customer. The CloudOps engineer must receive a notification if less than 95% of the monitoring runs find no errors.
Which solution will meet these requirements?
- A. Create an AWS Lambda function for each customer path to check whether that specific endpoint is available. Schedule the Lambda functions by using Amazon EventBridge. Configure each Lambda function to publish a custom metric to Amazon CloudWatch for the endpoint status.
Create CloudWatch alarms based on each custom metric to publish a message to an Amazon SNS topic when an alarm is in the ALARM state. - B. Create a single AWS Lambda function to check whether the endpoints are available for each customer path. Schedule the Lambda function by using Amazon EventBridge. Configure the Lambda function to publish a message to an Amazon SNS topic when an endpoint returns an error.
- C. Create an Amazon CloudWatch Synthetics canary with a script that follows customer routes.
Schedule the canary to run on a recurring schedule. Create a CloudWatch alarm that publishes a message to an Amazon SNS topic when the SuccessPercent metric is less than 95%. - D. Create Amazon Route 53 health checks that monitor the availability of the endpoint. Create Amazon CloudWatch alarms that publish a message to an Amazon SNS topic when the HealthCheckPercentageHealthy metric is less than 95%.
Answer: C
Explanation:
Amazon CloudWatch Synthetics canaries can simulate customer behavior by following defined routes and actions against the public application. The canary publishes the SuccessPercent metric to CloudWatch, allowing an alarm to trigger when successful runs fall below 95% and send a notification through Amazon SNS.
NEW QUESTION # 126
A company hosts a critical legacy application on two Amazon EC2 instances that are in one Availability Zone. The instances run behind an Application Load Balancer (ALB). The company uses Amazon CloudWatch alarms to send Amazon Simple Notification Service (Amazon SNS) notifications when the ALB health checks detect an unhealthy instance. After a notification, the company's engineers manually restart the unhealthy instance. A CloudOps engineer must configure the application to be highly available and more resilient to failures. Which solution will meet these requirements?
- A. Create an Amazon Machine Image (AMI) from a healthy instance. Launch additional instances from the AMI in the same Availability Zone. Add the new instances to the ALB target group.
- B. Create an Amazon Machine Image (AMI) from a healthy instance. Create a launch template that uses the AMI. Create an Amazon EC2 Auto Scaling group that is deployed across multiple Availability Zones. Configure the Auto Scaling group to add instances to the ALB target group.
- C. Create an Amazon Machine Image (AMI) from a healthy instance. Launch an additional instance from the AMI in the same Availability Zone. Add the new instance to the ALB target group. Create an AWS Lambda function that runs when an instance is unhealthy. Configure the Lambda function to stop and restart the unhealthy instance.
- D. Increase the size of each instance. Create an Amazon EventBridge rule. Configure the EventBridge rule to restart the instances if they enter a failed state.
Answer: B
Explanation:
High availability requires removing single-AZ risk and eliminating manual recovery. The AWS Reliability best practices state to design for multi-AZ and automatic healing: Auto Scaling "helps maintain application availability and allows you to automatically add or remove EC2 instances" (AWS Auto Scaling User Guide). The Reliability Pillar recommends to "distribute workloads across multiple Availability Zones" and to "automate recovery from failure" (AWS Well-Architected Framework - Reliability Pillar). Attaching the Auto Scaling group to an ALB target group enables health-based replacement: instances failing load balancer health checks are replaced and traffic is routed only to healthy targets. Using an AMI in a launch template ensures consistent, repeatable instance configuration (AWS EC2 Launch Templates). Options A and C keep all instances in a single Availability Zone and rely on manual or ad-hoc restarts, which do not meet high-availability or resiliency goals. Option B only scales vertically and adds a restart rule; it neither removes the single-AZ failure domain nor provides automated replacement. Therefore, creating a multi-AZ EC2 Auto Scaling group with a launch template and attaching it to the ALB target group (Option D) is the CloudOps-aligned solution for resilience and business continuity.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide: Domain 2 - Reliability and Business Continuity
* AWS Well-Architected Framework - Reliability Pillar
* Amazon EC2 Auto Scaling User Guide - Health checks and replacement
* Elastic Load Balancing User Guide - Target group health checks and ALB integration
* Amazon EC2 Launch Templates - Reproducible instance configuration
NEW QUESTION # 127
A company runs multiple Amazon EC2 instances that are distributed across multiple AWS Regions. The company uses AWS Systems Manager tools to manage the EC2 instances. The company needs to deploy an auditing software package onto every instance to record user logins and any actions that users take.
A CloudOps engineer must implement a solution that automatically installs the auditing software on all existing EC2 instances. The solution also must automatically install the auditing software on any new EC2 instances when they are launched.
Which solution will meet these requirements?
- A. Create a Systems Manager Distributor package that includes the auditing software. Store the package in an Amazon S3 bucket. Create a Systems Manager State Manager association in each Region to install the software package on all managed instances in the company's AWS account.
- B. Load the installer for the auditing software into an Amazon S3 bucket. Connect to every instance by using Systems Manager Fleet Manager Remote Desktop. Download the installer by using the AWS CLI. Run the installer manually.
- C. Create an AWS Lambda function that calls the software installer. Merge the auditing software into the Lambda function by using Lambda layers. Run the Lambda function from each instance by using a scheduled Amazon EventBridge rule.
- D. Create an Amazon EventBridge rule to react to Amazon EC2 RunInstances events. Configure the rule to modify the events to include a step that runs the software installer. Reboot all the instances.
Answer: A
Explanation:
Systems Manager Distributor can package and distribute software to managed instances, and Systems Manager State Manager can enforce that the package remains installed across all targeted instances. Creating associations in each Region ensures the auditing software is automatically installed on existing managed EC2 instances and on new managed instances after they launch.
NEW QUESTION # 128
......
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