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Amazon AWS Certified CloudOps Engineer - Associate Sample Questions (Q152-Q157):
NEW QUESTION # 152
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?
- A. Deploy a vulnerability scanner on each EC2 instance. Continuously scan the application code.
- B. Deploy AWS Shield Standard in front of the ALB. Enable SQL injection filtering.
- C. Deploy AWS Shield Advanced in front of the ALB. Enable SQL injection filtering.
- D. Deploy AWS WAF in front of the ALB. Subscribe to an AWS Managed Rule for SQL injection filtering.
Answer: D
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.
NEW QUESTION # 153
A company's reporting job that used to run in 15 minutes is now taking an hour to run. An application generates the reports. The application runs on Amazon EC2 instances and extracts data from an Amazon RDS for MySQL database.
A CloudOps engineer checks the Amazon CloudWatch dashboard for the RDS instance and notices that the Read IOPS metrics are high, even when the reports are not running. The CloudOps engineer needs to improve the performance and the availability of the RDS instance.
Which solution will meet these requirements?
- A. Deploy an RDS read replica. Update the reporting job to query the reader endpoint.
- B. Create an Amazon CloudFront distribution. Set the RDS instance as the origin. Update the reporting job to query the CloudFront distribution.
- C. Increase the size of the RDS instance.
- D. Configure an Amazon ElastiCache cluster in front of the RDS instance. Update the reporting job to query the ElastiCache cluster.
Answer: A
Explanation:
The reporting workload is read-heavy, and the database shows high Read IOPS even outside the report window, suggesting sustained read pressure from other workloads or inefficient read patterns. The requirement is to improve both performance and availability of the RDS for MySQL instance. An RDS read replica is designed specifically to offload read traffic from the primary database instance and to provide additional capacity for read-heavy use cases such as reporting, analytics queries, and dashboards.
By deploying one or more read replicas, the company can direct the reporting job to a replica (Option B). This reduces contention on the primary instance, lowers read I/O demand on the writer, and can improve overall query latency and throughput. In addition, read replicas can contribute to availability objectives: if the primary instance has issues, replicas can be promoted (manually or as part of certain DR patterns) to become a new standalone database, reducing recovery time for read availability and providing a practical resilience option.
Option A (ElastiCache) can help for highly cacheable and repetitive queries, but it requires application/query redesign and cache invalidation strategy, and it does not inherently improve database availability. Option C is not valid because CloudFront is a CDN for HTTP content and is not an appropriate layer for database queries.
Option D (vertical scaling) can improve performance, but it does not offload reads and often involves higher cost; it also does not provide the same availability and read scaling benefits as replicas.
Therefore, adding an RDS read replica and pointing the reporting workload to the reader endpoint best meets the performance and availability requirements.
NEW QUESTION # 154
A company's application servers in AWS account 111122223333 use a security group sg-
1234abcd. They need to access a database hosted in account 444455556666. The VPCs are connected using a VPC peering connection (pcx-b04deed9).
A CloudOps engineer must configure the database's security group to allow new connections only from the application servers.
What should the engineer do?
- A. Add an inbound rule to the database's security group. Reference pcx-b04deed9/sg-1234abcd as the source.
- B. Add an inbound rule to the database's security group. Reference 444455556666/sg-1234abcd as the source.
- C. Add an inbound rule to the database's security group. Reference 111122223333/sg-1234abcd as the source.
- D. Add an inbound rule to the database's security group. Reference sg-1234abcd as the source.
Answer: D
Explanation:
According to AWS Cloud Operations and VPC Networking documentation, when VPCs are peered, security groups can reference peer account security groups directly to restrict traffic between them.
This feature allows specifying the security group ID (sg-1234abcd) from the source account (111122223333) in the target database's security group inbound rule. AWS automatically validates that the VPCs are connected through an existing VPC peering connection and that mutual permissions are properly configured.
You do not prefix the security group ID with the account or peering connection (Options A and B), and using the destination account ID (Option D) is incorrect because it represents the database side, not the source.
Hence, the correct configuration is Option C, which references the application servers' security group directly for precise, least-privilege access control.
NEW QUESTION # 155
A company runs several workloads on AWS. The company identifies five AWS Trusted Advisor service quota metrics to monitor in a specific AWS Region. The company wants to receive email notifications each time resource usage exceeds 60% of one of the service quotas.
Which solution will meet these requirements?
- A. Use the AWS Health Dashboard to monitor each Trusted Advisor service quota metric. Configure an Amazon SNS topic for email notification.
- B. Create five Amazon CloudWatch alarms, one for each Trusted Advisor service quota metric. Configure an Amazon Simple Queue Service (Amazon SQS) queue for email notification.
- C. Use the AWS Health Dashboard to monitor each Trusted Advisor service quota metric. Configure an Amazon SQS queue for email notification.
- D. Create five Amazon CloudWatch alarms, one for each Trusted Advisor service quota metric. Configure an Amazon Simple Notification Service (Amazon SNS) topic for email notification each time that usage exceeds 60% of one of the service quotas.
Answer: D
Explanation:
Comprehensive Explanation (250-350 words):
AWS Trusted Advisor publishes service quota metrics to Amazon CloudWatch. These metrics can be monitored using CloudWatch alarms, which support threshold-based alerting. By creating a CloudWatch alarm for each service quota metric, the CloudOps engineer can trigger alerts when usage exceeds 60%.
Amazon SNS is the AWS-native service for email notifications. CloudWatch alarms integrate directly with SNS, making this the most straightforward solution. SNS supports email subscriptions without additional infrastructure.
Options B and C incorrectly use SQS for email notifications, which requires additional processing and does not natively send emails. Option D relies on the AWS Health Dashboard, which does not support configurable threshold-based alerts for service quotas.
Therefore, CloudWatch alarms combined with SNS provide the correct and most efficient solution.
NEW QUESTION # 156
A company's Amazon EC2 instance with high CPU utilization is a t3.large instance running a test web app.
The company determines the app would run better on a compute-optimized large instance.
What should the CloudOps engineer do?
- A. Enable hibernation on the EC2 instance. Change the instance type to a compute optimized instance.
Disable hibernation on the EC2 instance. - B. Change the instance type to a compute optimized instance while the EC2 instance is running.
- C. Stop the EC2 instance. Change the instance type to a compute optimized instance. Start the EC2 instance.
- D. Migrate the EC2 instance to a compute optimized instance by using AWS VM Import/Export.
Answer: C
Explanation:
As described in the AWS Cloud Operations and EC2 Management documentation, changing an instance type (e.g., from T3 to C5) requires that the instance be stopped first. Once stopped, the engineer can modify the instance type through the AWS Management Console, CLI, or API, then start the instance again to apply changes.
This process preserves the root volume, networking configuration, and data, making it an operationally safe and efficient way to upgrade to a different instance family.
Changing the instance type while running (Option D) is unsupported. VM Import/Export (Option A) is for external VM migration. Hibernation (Option B) does not apply to type changes.
Thus, Option C is correct - stopping the instance, changing its type, and restarting it meets AWS best practices.
Reference: AWS Cloud Operations & Compute Guide - Modifying EC2 Instance Types for Performance Optimization
NEW QUESTION # 157
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