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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q210-Q215):

NEW QUESTION # 210
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: A

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 # 211
An ecommerce company runs a microservices application on Amazon ECS. Customers sometimes experience high latency when they attempt to complete a purchase through the application. A CloudOps engineer needs a solution to track individual transactions across multiple services to identify where latency is occurring. The solution must require minimal code changes and must provide a visual representation of service dependencies.
Which solution will meet these requirements?

Answer: C

Explanation:
AWS X-Ray is the correct service for distributed tracing across microservices. It tracks individual requests as they travel through application components and provides a service map that visually shows dependencies, latency, errors, and bottlenecks. For Amazon ECS, the X-Ray daemon can run as a sidecar container, and the application can be instrumented with the X-Ray SDK. This requires less effort than building custom transaction tracing and gives the CloudOps engineer request-level visibility across services. CloudWatch agents and Container Insights provide metrics and logs, but they do not trace individual user transactions across multiple services. VPC Flow Logs capture network metadata, not application-level request traces or service dependency maps. Therefore, X-Ray with a sidecar daemon and SDK instrumentation is the correct CloudOps monitoring solution.


NEW QUESTION # 212
A user working in the Amazon EC2 console increased the size of an Amazon Elastic Block Store (Amazon EBS) volume attached to an Amazon EC2 Windows instance. The change is not reflected in the file system.
What should a CloudOps engineer do to resolve this issue?

Answer: A

Explanation:
When an Amazon EBS volume is resized, the new storage capacity is immediately available to the attached EC2 instance. However, EBS does not automatically extend the file system. The CloudOps engineer must manually extend the file system within the operating system to utilize the additional space.
AWS documentation for EC2 and EBS specifies:
"After you increase the size of an EBS volume, use file system-specific tools to extend the file system so that the operating system can use the new storage capacity." On Windows instances, this can be achieved through Disk Management or diskpart commands. On Linux systems, utilities such as growpart and resize2fs are used.
Options B and C do not modify file system metadata and are ineffective. Option D unnecessarily replaces the volume, which adds risk and downtime. Thus, Option A aligns with the Monitoring and Performance Optimization practices of AWS CloudOps by properly extending the file system to recognize the new capacity.
References (AWS CloudOps Documents / Study Guide):
* AWS Certified CloudOps Engineer - Associate (SOA-C03) Exam Guide - Domain 1
* Amazon EBS - Modifying EBS Volumes
* Amazon EC2 User Guide - Extending a File System After Resizing a Volume
* AWS Well-Architected Framework - Performance Efficiency Pillar


NEW QUESTION # 213
A company deploys an application on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer (ALB). The company wants to protect the application from SQL injection attacks.
Which solution will meet this requirement?

Answer: B

Explanation:
The AWS Cloud Operations and Security documentation confirms that AWS WAF (Web Application Firewall) is designed to protect web applications from application-layer threats, including SQL injection, cross-site scripting (XSS), and other OWASP Top 10 vulnerabilities.
When integrated with an Application Load Balancer, AWS WAF inspects incoming traffic using rule groups. The AWS Managed Rules for SQL Injection Protection provide preconfigured, continuously updated filters that detect and block malicious SQL patterns.
AWS Shield (Standard or Advanced) defends against DDoS attacks, not application-layer SQL attacks, and vulnerability scanners (Option C) only detect, not prevent, exploitation.
Thus, Option D provides the correct, managed, and automated protection aligned with AWS best practices.
Reference: AWS Cloud Operations & Security Guide - Protecting Applications from SQL Injection with AWS WAF Managed Rules


NEW QUESTION # 214
A CloudOps engineer creates an AWS CloudFormation template to define an application stack that can be deployed in multiple AWS Regions. The CloudOps engineer also creates an Amazon CloudWatch dashboard by using the AWS Management Console. Each deployment of the application requires its own CloudWatch dashboard.
How can the CloudOps engineer automate the creation of the CloudWatch dashboard each time the application is deployed?

Answer: C

Explanation:
According to CloudOps automation and monitoring best practices, CloudWatch dashboards should be provisioned as infrastructure-as-code (IaC) resources using AWS CloudFormation to ensure consistency, repeatability, and version control. AWS CloudFormation supports the AWS::CloudWatch::Dashboard resource, where the DashboardBody property accepts a JSON object describing widgets, metrics, and layout.
By exporting the existing dashboard configuration as JSON and embedding it into the CloudFormation template, every deployment of the application automatically creates its corresponding dashboard. This method aligns with the CloudOps requirement for automated deployment and operational visibility within the same stack lifecycle.
"Use the AWS::CloudWatch::Dashboard resource to create a dashboard from your template. You can include the same JSON you use to define a dashboard in the console." Option A requires manual execution. Options C and D incorrectly reference or reuse existing dashboards, failing to produce unique, deployment-specific dashboards.


NEW QUESTION # 215
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