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| Section | Weight | Objectives |
|---|---|---|
| Monitoring and Logging | 12% | - Design and implement monitoring and observability strategies
|
| Incident and Event Response | 18% | - Design and implement chaos engineering practices
|
| SDLC Automation | 22% | - Design and implement CI/CD pipelines
|
| High Availability and Disaster Recovery | 16% | - Implement data backup and restore strategies
|
| Configuration Management and Infrastructure as Code | 22% | - Design and implement configuration management
|
| Policies and Standards Automation | 10% | - Design and implement governance strategies
|
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NEW QUESTION # 112
A company requires all employees to access secrets via Systems Manager Parameter Store with rotation every
60 days.
The company must add a new secret for an Amazon ElastiCache Redis cluster.
Which solution meets these requirements with the LEAST operational overhead?
Answer: C
Explanation:
AWS Secrets Manager supports managed rotation using Lambda templates for ElastiCache (Redis). Secrets Manager can integrate with Parameter Store using references ({{resolve:secretsmanager:...}}). This ensures automatic rotation with minimal management.
NEW QUESTION # 113
A company manages environments for its application in multiple AWS accounts. Each environment account is in a different OU in AWS Organizations.
A DevOps team is responsible for the application deployment process across the environments. The deployment process uses an AWS CodePipeline pipeline in a Shared Services account. The DevOps team members are in the same user group. The team members have administrative access to all accounts through AWS IAM Identity Center.
A recent deployment problem in the development environment required the DevOps team to perform manual steps. The deployment to the production environment then resulted in an incident that caused the pipeline to fail, blocking new deployments for several hours.
A DevOps engineer needs to ensure that only the pipeline can perform deployments in the production environment. The DevOps engineer must have access to the environment in case of an emergency.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: B
Explanation:
The requirement is to restrict production deployments strictly to the pipeline, while still allowing emergency access to a specific engineer.
* The best approach is to restrict the DevOps team to read-only access in production accounts, minimizing risk of manual changes (Option A).
* The DevOps engineer can have an admin permission set but assume the pipeline IAM role for deployment, enforcing strict control.
* Applying an SCP to deny modification by anyone other than the pipeline role enforces this at the organization level. Option B is similar but unnecessarily creates separate IAM users, increasing management overhead. Option C grants the DevOps engineer broader permissions that may conflict with controls. Option D complicates management with tagging and SCPs, increasing operational overhead.
Reference:
AWS Organizations Service Control Policies (SCPs): " SCPs can restrict what actions identities in member accounts can perform, even for administrators. " (AWS Organizations SCP Documentation) IAM Identity Center Role Assumption Best Practices: " Use role assumption for limited elevated permissions instead of broad admin access. " (AWS IAM Best Practices)
NEW QUESTION # 114
A company runs applications on Windows and Linux Amazon EC2 instances The instances run across multiple Availability Zones In an AWS Region. The company uses Auto Scaling groups for each application.
The company needs a durable storage solution for the instances. The solution must use SMB for Windows and must use NFS for Linux. The solution must also have sub-millisecond latencies. All instances will read and write the data.
Which combination of steps will meet these requirements? (Select THREE.)
Answer: B,C,F
Explanation:
* Create an Amazon Elastic File System (Amazon EFS) File System with Targets in Multiple Availability Zones:
Amazon EFS provides a scalable and highly available network file system that supports the NFS protocol. EFS is ideal for Linux instances as it allows multiple instances to read and write data concurrently.
Setting up EFS with targets in multiple Availability Zones ensures high availability and durability.
Reference:
* Create an Amazon FSx for NetApp ONTAP Multi-AZ File System:
Amazon FSx for NetApp ONTAP offers a fully managed file storage solution that supports both SMB for Windows and NFS for Linux.
The Multi-AZ deployment ensures high availability and durability, providing sub-millisecond latencies suitable for the application's performance requirements.
* Update the User Data for Each Application's Launch Template to Mount the File System:
Updating the user data in the launch template ensures that every new instance launched by the Auto Scaling group will automatically mount the appropriate file system.
This step is necessary to ensure that all instances can access the shared storage without manual intervention.
Example user data for mounting EFS (Linux)
#!/bin/bash
sudo yum install -y amazon-efs-utils
sudo mount -t efs fs-12345678:/ /mnt/efs
Example user data for mounting FSx (Windows):
By implementing these steps, the company can provide a durable storage solution with sub-millisecond latencies that supports both SMB and NFS protocols, meeting the requirements for both Windows and Linux instances.
Mounting EFS File Systems
Mounting Amazon FSx File Systems
NEW QUESTION # 115
A DevOps engineer manages a company's Amazon Elastic Container Service (Amazon ECS) cluster. The cluster runs on several Amazon EC2 instances that are in an Auto Scaling group. The DevOps engineer must implement a solution that logs and reviews all stopped tasks for errors.
Which solution will meet these requirements?
Answer: A
Explanation:
The best solution to log and review all stopped tasks for errors is to use Amazon EventBridge and Amazon CloudWatch Logs. Amazon EventBridge allows the DevOps engineer to create a rule that matches task state change events from Amazon ECS. The rule can then send the event data to Amazon CloudWatch Logs as the target. Amazon CloudWatch Logs can store and monitor the log data, and also provide CloudWatch Logs Insights, a feature that enables the DevOps engineer to interactively search and analyze the log data. Using CloudWatch Logs Insights, the DevOps engineer can filter and aggregate the log data based on various fields, such as cluster, task, container, and reason. This way, the DevOps engineer can easily identify and investigate the stopped tasks and their errors.
The other options are not as effective or efficient as the solution in option A. Option B is not suitable because the embedded metric format is designed for custom metrics, not for logging task state changes. Option C is not feasible because the EC2 instances do not store the task state change events in their logs. Option D is not relevant because the EC2_INSTANCE_TERMINATING lifecycle hook is triggered when an EC2 instance is terminated by the Auto Scaling group, not when a task is stopped by Amazon ECS.
Reference:
1: Creating a CloudWatch Events Rule That Triggers on an Event - Amazon Elastic Container Service
2: Sending and Receiving Events Between AWS Accounts - Amazon EventBridge
3: Working with Log Data - Amazon CloudWatch Logs
4: Analyzing Log Data with CloudWatch Logs Insights - Amazon CloudWatch Logs
5: Embedded Metric Format - Amazon CloudWatch
6: Amazon EC2 Auto Scaling Lifecycle Hooks - Amazon EC2 Auto Scaling
NEW QUESTION # 116
A company has an RPO of 24 hours and an RTO of 10 minutes for a critical web application that runs on Amazon EC2 instances. The company uses AWS Organizations to manage its AWS account. The company wants to set up AWS Backup for its AWS environment.
A DevOps engineer configures AWS Organizations for AWS Backup. The DevOps engineer creates a new centralized AWS account to store the backups. Each EC2 instance has four Amazon Elastic Block Store (Amazon EBS) volumes attached.
Which solution will meet this requirement MOST securely?
Answer: D
Explanation:
The question emphasizes "MOST securely" and involves a multi-account backup strategy with a centralized backup account. AWS Backup best practice for high-security environments is to use customer managed KMS keys for encrypting backup vaults rather than AWS managed keys. Customer managed keys provide tighter control over key lifecycle, key policies, and cross-account access.
Option A creates encrypted backup vaults in both the source and centralized accounts, each protected by a customer managed KMS key in that account. AWS Backup is then configured to create full EC2 backups (AMIs) and copy them to the centralized backup vault. This design ensures:
* Encryption at rest in both accounts.
* Independent key control and policies per account.
* Secure cross-account backup copy behavior governed by explicit KMS key grants and vault access policies.
Option B incorrectly uses the source account's KMS key to encrypt vaults in both accounts, which is not the recommended pattern; each account should manage its own CMK. Options C and D rely partially or fully on AWS managed keys, which are less appropriate when the requirement explicitly stresses maximum security and control.
Therefore, Option A best satisfies both the RPO/RTO goals (daily AMI backups with rapid restore) and the strongest encryption posture.
NEW QUESTION # 117
......
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