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| Topic | Details |
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| Topic 1 | - 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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| Topic 2 | - 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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| Topic 3 | - 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.
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| Topic 4 | - 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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| Topic 5 | - 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.
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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q258-Q263):
NEW QUESTION # 258
A security team requires that all Amazon S3 buckets that contain sensitive data must be tagged as "Confidential" and use a restrictive bucket policy. All other buckets must be tagged as
"Nonconfidential".
A CloudOps engineer needs to provide a self-service provisioning mechanism that allows different development teams to create S3 buckets with the appropriate tags and policies applied upon creation.
Which solution will meet these requirements in the MOST reliable way?
- A. Create an AWS Step Functions workflow that is triggered by every newly created S3 bucket.
Configure the workflow to assign the correct bucket policy after the buckets are provisioned by the development teams. - B. Create an AWS Config rule to check if newly created S3 buckets are correctly tagged as
"Nonconfidential" or "Confidential" after the buckets are provisioned by the development teams.
Create an AWS Systems Manager Automation document to be triggered by AWS Config for noncompliant buckets. - C. Create two separate AWS Service Catalog products named "Nonconfidential S3 Bucket" and
"Confidential S3 Bucket" for creating the S3 buckets. Preconfigure each product with an S3 bucket and the appropriate bucket policy for its classification tag. - D. Create an AWS CloudFormation template to create S3 buckets that include a parameter for the classification tag. Distribute the template to all the development teams to use when creating S3 buckets.
Answer: C
Explanation:
AWS Service Catalog provides controlled, self-service provisioning using preapproved products.
Creating separate products for confidential and nonconfidential S3 buckets ensures that each bucket is provisioned from the start with the required classification tag and the correct bucket policy, reducing configuration errors and providing consistent governance across development teams.
NEW QUESTION # 259
A company has two AWS accounts connected by a transit gateway. Each account has one VPC in the same AWS Region. The company wants to simplify inbound and outbound rules in security groups by referencing security group IDs instead of IP CIDR blocks.
Which solution will meet this requirement?
- A. Create VPC peering connections and remove the transit gateway.
- B. Deploy private NAT gateways in each VPC.
- C. Enable security group referencing support on each transit gateway attachment.
- D. Enable security group referencing support on the transit gateway.
Answer: C
Explanation:
AWS Transit Gateway supports security group referencing across VPCs, but this feature must be explicitly enabled on each transit gateway attachment. Once enabled, security groups in one VPC can reference security groups in another VPC attached to the same transit gateway, simplifying rule management and improving security posture.
Enabling the feature on the transit gateway itself is not sufficient; it must be enabled per attachment to allow traffic evaluation based on security group IDs. This approach avoids brittle CIDR-based rules and allows dynamic scaling without rule updates.
Option A removes the transit gateway, which contradicts the existing architecture. Option B is incomplete.
Option D does not address security group referencing.
Thus, enabling security group referencing on each transit gateway attachment is the correct solution.
NEW QUESTION # 260
A company runs a business application on more than 300 Linux-based instances. Each instance has the AWS Systems Manager Agent (SSM Agent) installed. The company expects the number of instances to grow in the future. All business application instances have the same user-defined tag.
A CloudOps engineer wants to run a command on all the business application instances to download and install a package from a private repository. To avoid overwhelming the repository, the CloudOps engineer wants to ensure that no more than 30 downloads occur at one time.
Which solution will meet this requirement in the MOST operationally efficient way?
- A. Use an AWS Lambda function to automatically run a Systems Manager Run Command document. Set reserved concurrency for the Lambda function to 30.
- B. Use a Systems Manager Run Command document to download and install the package. Use rate control to set concurrency to 30. Specify the target by using the user-defined tag.
- C. Use a secondary tag to create 10 batches of 30 instances each. Use a Systems Manager Run Command document to download and install the package. Run each batch one time.
- D. Use a parallel workflow state in AWS Step Functions. Set the number of parallel states to 30.
Answer: B
Explanation:
AWS Systems Manager Run Command includes a built-in rate control feature that allows administrators to control the maximum number of concurrent executions across target instances. This directly addresses the requirement to limit downloads to 30 at a time without custom orchestration or additional services.
By targeting instances using tags, the solution automatically scales as new instances are added, which aligns with future growth expectations. Rate control ensures controlled concurrency and protects the private repository from overload.
Option A is manual and does not scale operationally. Option B introduces unnecessary complexity with Lambda and concurrency management that does not map cleanly to instance execution concurrency. Option D significantly increases architectural complexity without added value.
Run Command with rate control is the simplest, most native, and most scalable solution.
NEW QUESTION # 261
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. 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.
- B. 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.
- 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. 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.
Answer: B
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 # 262
A company runs an application on Amazon EC2 instances. The instances are in three Availability Zones behind an Auto Scaling group and an Application Load Balancer (ALB). The ALB maps to an Amazon Route 53 alias record.
Amazon CloudWatch metrics show healthy instances in all three Availability Zones. However, instances in only two of the Availability Zones receive traffic.
Which solution will resolve this issue?
- A. Enable cross-zone load balancing on the ALB.
- B. Update the ALB's DNS mapping in Route 53 to use a CNAME record instead of an alias.
- C. Disable cross-zone load balancing on the ALB.
- D. Ensure that all the required subnets are correctly associated with the ALB.
Answer: D
Explanation:
An Application Load Balancer can route traffic only to targets in Availability Zones that are enabled for the load balancer through associated subnets. If instances are healthy in three Availability Zones but only two receive traffic, the missing Availability Zone likely does not have its subnet associated with the ALB.
NEW QUESTION # 263
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