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| Section | Weight | Objectives |
|---|---|---|
| Security and Compliance | 18% | - Enforce security controls and compliance requirements
|
| Deployment, Provisioning, and Automation | 20% | - Deploy and provision resources consistently
|
| Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Collect and interpret metrics, logs, and events
|
| Networking and Content Delivery | 18% | - Optimize and troubleshoot network connectivity and performance
|
| Reliability and Business Continuity | 22% | - Implement backup, restore, and disaster recovery strategies
|
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NEW QUESTION # 304
A company has an application that runs on Amazon EC2 instances. The application stores data on an Amazon RDS for MySQL Single-AZ DB instance. Requests to the DB instance from the application include reads and writes.
A CloudOps engineer must implement a solution that provides failover for the DB instance. The solution must minimize application downtime.
Which solution will meet these requirements?
Answer: D
Explanation:
A Multi-AZ RDS deployment maintains a synchronous standby DB instance in another Availability Zone. If the primary DB instance becomes unavailable, Amazon RDS automatically fails over to the standby while preserving the same database endpoint, minimizing application downtime.
NEW QUESTION # 305
Users are reporting consistent forced logouts from a stateful web application. The web application is hosted on Amazon EC2 instances that are in an Auto Scaling group. The instances run behind an Application Load Balancer (ALB) that has multiple target groups with one listener rule. The ALB is configured as the origin in an Amazon CloudFront distribution. Which combination of actions should a CloudOps engineer take to resolve the logout problem? (Choose two.)
Answer: A,B
Explanation:
CloudFront must forward the application's cookies so that session information and load balancer stickiness cookies reach the ALB. Because the listener rule distributes requests across multiple target groups, group-level stickiness keeps a user associated with the same target group for subsequent requests, which preserves the stateful session and prevents repeated logouts.
NEW QUESTION # 306
A company's website runs on an Amazon EC2 Linux instance. The website needs to serve PDF files from an Amazon S3 bucket. All public access to the S3 bucket is blocked at the account level. The company needs to allow website users to download the PDF files.
Which solution will meet these requirements with the LEAST administrative effort?
Answer: C
Explanation:
Per the AWS Cloud Operations, Networking, and Security documentation, the best practice for serving private S3 content securely to end users is to use Amazon CloudFront with Origin Access Control (OAC).
OAC enables CloudFront to access S3 buckets privately, even when Block Public Access settings are enabled at the account level. This allows content to be delivered globally and securely without making the S3 bucket public. The bucket policy explicitly allows access only from the CloudFront distribution, ensuring that users can retrieve PDF files only via CloudFront URLs.
This configuration offers:
* Automatic scalability through CloudFront caching,
* Improved security via private access control,
* Minimal administration effort with fully managed services.
Other options require manual handling or make the bucket public, violating AWS security best practices.
Therefore, Option B-using CloudFront with Origin Access Control and a restrictive bucket policy- provides the most secure, efficient, and low-maintenance CloudOps solution.
Reference: AWS Cloud Operations and Content Delivery Guide - Section: Serving Private Content Securely from Amazon S3 via CloudFront Using Origin Access Control
NEW QUESTION # 307
A company's CloudOps engineer maintains a highly available environment. The environment includes Amazon EC2 instances and an Amazon RDS Multi-AZ database. The EC2 instances are in an Auto Scaling group behind an Application Load Balancer.
Recently, the company conducted a failover test. The CloudOps engineer needs to decrease the failover time of the RDS database by at least 10%.
Which solution will meet this requirement?
Answer: C
Explanation:
Amazon RDS Proxy improves application resiliency during database failovers by pooling and managing database connections. During failover, applications that connect through RDS Proxy generally recover faster because the proxy reduces the need for clients to repeatedly establish new database connections and handle DNS/cache timing issues directly. Increasing the DB instance size might improve capacity, but it does not directly reduce failover duration. Moving to a single Availability Zone would reduce availability and is the opposite of the requirement. A cross-Region read replica is useful for disaster recovery, but manual promotion is slower and changes the recovery model. The question asks to reduce failover time for the existing highly available RDS environment, so using RDS Proxy and updating the application endpoint is the best operational choice.
NEW QUESTION # 308
A company stores critical information in an Amazon RDS for PostgreSQL database. The company notices degraded performance, high CPU utilization, increased query latency, and connection timeouts during peak shopping hours. The company also identifies surges in user connections during peak hours. The connection surges affect the read performance of the database.
The company wants to resolve the database performance issues.
Which combination of steps will meet this requirement? (Select TWO.)
Answer: A,B
Explanation:
The symptoms point to two common database pressure sources: inefficient queries (driving high CPU and latency) and excessive concurrent connections (driving connection management overhead, read contention, and timeouts). The most effective remediation is to address both the SQL workload and the connection surge behavior.
Amazon RDS Performance Insights (Option A) is designed to help identify which SQL statements and wait events contribute most to database load. It provides a database-centric view of performance that highlights top SQL, top waits, and the relative impact of sessions on CPU and other resources. By using Performance Insights to pinpoint the highest-impact SQL and then tuning those queries (for example, improving indexes, reducing full scans, and optimizing query patterns), the company can lower CPU utilization and reduce query latency during peak hours.
Connection surges are best addressed with a managed connection pooling layer. RDS Proxy (Option E) provides connection pooling and multiplexing between application connections and the database, which reduces the overhead of establishing and maintaining a large number of database connections. During spikes, the proxy can smooth bursty connection behavior, improve failover handling, and reduce the risk of overwhelming the database with too many concurrent connections. This directly targets the observed timeouts and read performance degradation tied to surges.
Option B is not the best fit because CloudWatch Logs Insights is a log analytics tool; it is not the primary mechanism for deep SQL performance attribution in RDS and typically requires extensive logging configurations that add overhead. Option C would reduce availability and does not improve performance.
Option D would make the problem worse: disabling pooling increases connection churn and overhead, amplifying timeouts and latency during peak traffic.
Therefore, combining Performance Insights query analysis/tuning with RDS Proxy connection pooling best resolves both root causes.
NEW QUESTION # 309
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