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| Section | Weight | Objectives |
|---|---|---|
| Networking and Content Delivery | 18% | - Implement and manage networking configurations
|
| Reliability and Business Continuity | 22% | - Implement high availability and fault tolerance
|
| Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Implement metrics, alarms, and filters by using AWS monitoring and logging services
|
| Security and Compliance | 16% | - Implement data protection
|
| Deployment, Provisioning, and Automation | 22% | - Manage configuration and secrets
|
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NEW QUESTION # 141
A CloudOps engineer needs to track the costs of data transfer between AWS Regions. The CloudOps engineer must implement a solution to send alerts to an email distribution list when transfer costs reach 75% of a specific threshold.
What should the CloudOps engineer do to meet these requirements?
Answer: C
Explanation:
According to the AWS Cloud Operations and Cost Management documentation, AWS Budgets is the recommended service to track and alert on cost thresholds across all AWS accounts and resources. It allows users to define cost, usage, or reservation budgets, and configure notifications to trigger when usage or cost reaches defined percentages of the budgeted value (e.g., 75%, 90%, 100%).
The AWS Budgets system integrates natively with Amazon Simple Notification Service (SNS) to deliver alerts to an email distribution list or SNS topic subscribers. AWS Budgets supports granular cost filters, including specific service categories such as data transfer, regions, or linked accounts, ensuring precise visibility into inter-Region transfer costs.
By contrast, CloudWatch billing alarms (Option B) monitor total account charges only and do not allow detailed service-level filtering, such as data transfer between Regions. Cost and Usage Reports (Option A) are for detailed cost analysis, not real-time alerting, and VPC Flow Logs (Option D) capture traffic data, not billing or cost-based metrics.
Thus, using AWS Budgets with a 75% alert threshold best satisfies the operational and notification requirements.
Reference: AWS CloudOps and Cost Management Guide - Section: AWS Budgets for Cost Monitoring and Alerts
NEW QUESTION # 142
A company has users that deploy Amazon EC2 instances that have more volume performance capacity than is required. A CloudOps engineer needs to review all Amazon Elastic Block Store (Amazon EBS) volumes that are associated with the instances and create cost optimization recommendations based on IOPS and throughput.
What should the CloudOps engineer do to meet these requirements in the MOST operationally efficient way?
Answer: B
Explanation:
The requirement is to produce cost optimization recommendations for EBS volumes based on IOPS and throughput, and to do so with the most operational efficiency across potentially many instances and volumes.
AWS Compute Optimizer is the most suitable service because it analyzes historical utilization metrics and configuration characteristics to generate rightsizing recommendations. When enabled, Compute Optimizer evaluates EBS volume performance patterns (including throughput and IOPS consumption) and can recommend more appropriate volume types or settings to reduce cost while meeting performance needs.
Option C is operationally efficient because it centralizes analysis. Instead of manually inspecting per-volume graphs, Compute Optimizer aggregates and evaluates data over time, reducing human effort and improving consistency. After sufficient observation time, the CloudOps engineer can review the findings and translate them into concrete actions such as reducing provisioned IOPS on io1/io2, selecting gp3 with tuned IOPS
/throughput, or resizing volumes that are over-provisioned relative to actual demand.
Option A is manual and does not directly address IOPS/throughput rightsizing; it also incorrectly focuses on consumed space versus provisioned space, which is more relevant to capacity than performance provisioning.
Option B is unrelated: EBS-optimized is an EC2 feature for dedicated EBS bandwidth and does not rightsize EBS volume performance or reduce over-provisioned IOPS/throughput. Option D introduces significant operational overhead by installing benchmarking tools and running synthetic tests, which is not scalable, can affect production performance, and still may not reflect real workload patterns.
Therefore, enabling AWS Compute Optimizer and using its EBS volume recommendations is the most operationally efficient approach.
NEW QUESTION # 143
A CloudOps engineer needs to build an event infrastructure for custom application-specific events. The events must be sent to an AWS Lambda function for processing. The CloudOps engineer must record the events so they can be replayed later by event type or event time.
Which solution will meet these requirements?
Answer: D
Explanation:
Comprehensive Explanation (250-350 words):
Amazon EventBridge supports custom event buses for application-specific events. EventBridge archives allow events to be retained and replayed later based on time ranges or event patterns, directly meeting the replay requirement.
Creating a custom event bus provides isolation and governance for application events. The archive preserves events automatically, and EventBridge rules route events to AWS Lambda for processing without custom code.
Options B and C do not properly align with custom event use cases or supported archive behavior. Option D lacks native replay functionality.
Therefore, a custom event bus with an archive and rule is the correct solution.
NEW QUESTION # 144
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:
Comprehensive Explanation (250-350 words):
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 # 145
A company is performing deployments of an application at regular intervals. Users report that the application sometimes does not work properly. The company discovers that some users' browsers are fetching previous versions of the JavaScript files. The application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The ALB is the origin for an Amazon CloudFront distribution.
A SysOps administrator must implement a solution to ensure that CloudFront serves the latest version of the JavaScript files. The solution must not affect application server performance.
Which solution will meet these requirements?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Documents:
The correct answer is C because selective CloudFront invalidation ensures that only updated JavaScript files are refreshed across edge locations. AWS CloudOps documentation explains that invalidations remove cached objects so that CloudFront fetches the latest version from the origin on the next request.
Invalidating only changed files minimizes cost, reduces operational impact, and avoids unnecessary origin requests. This approach ensures users always receive the latest application assets without degrading backend performance.
Option A is incorrect because setting TTLs to 0 forces CloudFront to query the origin for every request, increasing load on the ALB and EC2 instances. Option B is inefficient and costly because invalidating all files is unnecessary. Option D removes the benefits of CloudFront caching and increases latency.
AWS CloudOps best practices recommend targeted invalidations during deployments to balance performance, cost, and correctness.
References:
Amazon CloudFront Developer Guide - Cache Invalidation
AWS SysOps Administrator Study Guide - Content Delivery
AWS Well-Architected Framework - Performance Efficiency and Reliability
NEW QUESTION # 146
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