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| Section | Weight | Objectives |
|---|---|---|
| Security and Compliance | 18% | - Data protection and encryption - Identity and access management (IAM) - Security monitoring and auditing |
| Reliability and Business Continuity | 16% | - Backup and disaster recovery strategies - High availability and fault tolerance design - Data replication and recovery mechanisms |
| Deployment, Provisioning, and Automation | 18% | - Configuration management and orchestration tools - Automated deployment pipelines - Infrastructure as Code using AWS CloudFormation |
| Monitoring, Logging, and Remediation | 20% | - Automated remediation and operational workflows - Metrics and monitoring using Amazon CloudWatch - Centralized logging and log analysis with AWS services |
| Cost and Performance Optimization | 28% | - Cost monitoring and optimization strategies - Resource performance tuning - Right-sizing and capacity planning |
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NEW QUESTION # 110
A media company hosts a public news and video portal on AWS. The portal uses an Amazon DynamoDB table with provisioned capacity to maintain an index of video files that are stored in an Amazon S3 bucket.
During a recent event, millions of visitors came to the portal for news. This increase in traffic caused read requests to be throttled in the DynamoDB table. Videos could not be displayed in the portal.
The company ' s operations team manually increased the provisioned capacity on a temporary basis to meet the demand. The company wants the operations team to receive an alert before the table is throttled in the future. The company has created an Amazon Simple Notification Service (Amazon SNS) topic and has subscribed the operations team ' s email address to the SNS topic.
What should the company do next to meet these requirements?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The requirement is to alert before throttling occurs. For a DynamoDB table in provisioned capacity mode, throttling happens when demand approaches or exceeds provisioned throughput. CloudWatch provides direct table metrics such as ConsumedReadCapacityUnits and ProvisionedReadCapacityUnits (and related utilization signals). Creating an alarm on ConsumedReadCapacityUnits with a threshold set close to the table' s provisioned read capacity provides an early warning that the table is nearing its limit-before actual throttling prevents reads. The alarm can publish directly to the existing SNS topic so the operations team is notified proactively.
Option C and D focus on detecting throttling after it occurs by matching throttling exceptions in logs. That is reactive and violates "before throttled." Option B (auto scaling) may reduce the likelihood of throttling, but it does not directly satisfy the alerting requirement and "scaling events" notifications are not a reliable proxy for
"approaching throttle" (and may not fire early enough depending on scaling configuration). The simplest, most direct CloudOps approach is a CloudWatch alarm on consumption nearing provisioned capacity.
References:
Amazon DynamoDB Developer Guide - Provisioned capacity, throttling behavior, CloudWatch metrics Amazon CloudWatch User Guide - Alarms and SNS notifications AWS SysOps Administrator Study Guide - Monitoring DynamoDB and capacity planning
NEW QUESTION # 111
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?
Answer: A
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 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 # 112
A company has an application that collects notifications from thousands of alarm systems. The notifications include alarm notifications and information notifications. The information notifications include the system arming processes, disarming processes, and sensor status.
All notifications are kept as messages in an Amazon Simple Queue Service (Amazon SQS) queue. Amazon EC2 instances that are in an Auto Scaling group process the messages. A CloudOps engineer needs to implement a solution that prioritizes alarm notifications over information notifications.
Which solution will meet these requirements?
Answer: C
Explanation:
By separating alarm and information notifications into two SQS queues, the application can always poll and process the alarm queue first, ensuring high-priority alarm messages are handled before lower-priority informational ones. This achieves true prioritization with minimal architectural change and without relying on scaling behavior or unrelated services.
NEW QUESTION # 113
A company has an internal web application that runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group in a single Availability Zone. A CloudOps engineer must make the application highly available.
Which action should the CloudOps engineer take to meet this requirement?
Answer: A
Explanation:
High availability for an EC2-based web application behind an ALB is primarily achieved by eliminating single points of failure at the infrastructure layer. A single Availability Zone (AZ) deployment is vulnerable to AZ-level impairment (power/network issues, facility events, or service disruptions). The most direct and standard AWS approach is to distribute the Auto Scaling group across multiple AZs within the same Region.
Updating the Auto Scaling group to use subnets in at least two AZs allows instances to be launched across AZs automatically. The ALB is built to route traffic across targets in multiple AZs, and Auto Scaling can replace unhealthy instances in any enabled AZ. This provides resilience without the complexity of multi- Region architectures.
Options A and B address capacity for peak load but do not address the core availability requirement. Even with more instances, a full AZ outage would still take the entire application down if all instances are in the same AZ.
Option D (multi-Region) can improve resilience further, but it introduces significantly more operational overhead: cross-Region traffic routing, data replication, DNS failover strategy, application state handling, and potentially active-active or active-passive designs. For "make the application highly available" from a single- AZ baseline, multi-AZ in the same Region is the standard, least-overhead improvement.
NEW QUESTION # 114
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?
Answer: A
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 # 115
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