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| Section | Weight | Objectives |
|---|---|---|
| Security and Compliance | 16% | - Implement and manage security controls
|
| Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Optimize performance of AWS resources
|
| Deployment, Provisioning, and Automation | 22% | - Implement automation for operational tasks
|
| Networking and Content Delivery | 18% | - Configure DNS and content delivery
|
| Reliability and Business Continuity | 22% | - Implement scalability and elasticity
|
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NEW QUESTION # 176
A company runs a web application on three Amazon EC2 instances behind an Application Load Balancer (ALB). The company notices that random periods of increased traffic cause a degradation in the application's performance.
A CloudOps engineer must scale the application to meet the increased traffic.
Which solution meets these requirements?
Answer: B
Explanation:
Auto Scaling groups with target tracking scaling policies automatically adjust capacity based on real-time demand. This solution is ideal for handling unpredictable and random traffic spikes.
Target tracking scaling maintains a metric, such as average CPU utilization or request count per target, at a defined target value. The Auto Scaling group automatically launches or terminates instances as traffic fluctuates.
Manual scaling, EventBridge-based scaling, or scheduled scaling do not respond dynamically to random traffic patterns.
Therefore, an Auto Scaling group with a target tracking scaling policy is the correct solution.
NEW QUESTION # 177
A company runs a website on Amazon EC2 instances. Users can upload images to an Amazon S3 bucket and publish the images to the website. The company wants to deploy a serverless image-processing application that uses an AWS Lambda function to resize the uploaded images.
The company's development team has created the Lambda function. A CloudOps engineer must implement a solution to invoke the Lambda function when users upload new images to the S3 bucket.
Which solution will meet this requirement?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
Use Amazon S3 Event Notifications with AWS Lambda to trigger image processing on object creation. S3 natively supports invoking Lambda for events such as s3:ObjectCreated:*, providing a serverless, low-latency pipeline without managing additional services. AWS operational guidance states that "Amazon S3 can directly invoke a Lambda function in response to object-created events," allowing you to pass event metadata (bucket/key) to the function for resizing and writing results back to S3. This approach minimizes operational overhead, scales automatically with upload volume, and integrates with standard retry semantics. SNS or SQS can be added for fan-out or buffering patterns, but they are not required when the requirement is simply "invoke the Lambda function on upload." CloudWatch alarms do not detect individual S3 object uploads and cannot directly satisfy per-object triggers. Therefore, configuring S3 → Lambda event notifications meets the requirement most directly and aligns with CloudOps best practices for event-driven, serverless automation.
References (AWS CloudOps Documents / Study Guide):
* Using AWS Lambda with Amazon S3 (Lambda Developer Guide)
* Amazon S3 Event Notifications (S3 User Guide)
* AWS Well-Architected - Serverless Applications (Operational Excellence)
NEW QUESTION # 178
A company needs to upload gigabytes of files daily to Amazon S3 and requires higher throughput and faster upload speeds.
Which action should a CloudOps engineer take?
Answer: C
Explanation:
The AWS Cloud Operations and Storage documentation confirms that S3 Transfer Acceleration is designed to increase upload speed for objects transferred to S3 buckets over long distances.
It uses AWS Global Edge Network and Amazon CloudFront edge locations to route data through optimized network paths, reducing latency and achieving higher throughput compared to standard S3 uploads.
After enabling Transfer Acceleration on the bucket, users upload files to the accelerated endpoint (e.g., bucketname.s3-accelerate.amazonaws.com). This feature requires no changes to application logic besides endpoint modification and provides immediate performance improvement.
CloudFront (Option A) is for content delivery, not uploads. ElastiCache (Option B) and Global Accelerator (Option C) are unrelated to S3 upload performance.
Thus, Option D is correct - enable S3 Transfer Acceleration for faster, optimized file uploads.
Reference: AWS Cloud Operations & Storage Guide - Enhancing Upload Speed with Amazon S3 Transfer Acceleration
NEW QUESTION # 179
A company has a non-production application that runs on an Amazon EC2 instance. The Amazon CloudWatch agent is installed on the EC2 instance. The application includes a process that randomly overuses temporary disk space and fills disks to 100% capacity.
A CloudOps engineer needs to automate a reboot of the EC2 instance after the disks reach 100% capacity.
Which solution will meet this requirement in the MOST operationally efficient way?
Answer: D
Explanation:
The CloudWatch agent can publish custom disk usage metrics from the EC2 instance. A CloudWatch alarm can monitor the disk usage metric and enter the ALARM state when disk usage reaches 100%. The most operationally efficient approach is to connect the alarm state change to an Amazon EventBridge rule and use the rule to trigger an EC2 reboot action. This avoids custom polling and reduces manual intervention. Option B is wrong because Amazon SES sends email and does not reboot EC2 instances. Option C can work, but it adds unnecessary Lambda code and maintenance when EventBridge can directly react to CloudWatch alarm state changes. Option D is wrong because EC2 health checks do not detect application-level temporary disk exhaustion in this way. Therefore, CloudWatch alarm plus EventBridge automation is the cleanest CloudOps solution.
NEW QUESTION # 180
A CloudOps engineer configures an application to run on Amazon EC2 instances behind an Application Load Balancer (ALB) in a simple scaling Auto Scaling group with the default settings. The Auto Scaling group is configured to use the RequestCountPerTarget metric for scaling. The CloudOps engineer notices that the RequestCountPerTarget metric exceeded the specified limit twice in 180 seconds.
How will the number of EC2 instances in this Auto Scaling group be affected in this scenario?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of AWS CloudOps Doocuments:
With simple scaling policies, an Auto Scaling group performs one scaling activity when the alarm condition is met, then observes a default cooldown period (300 seconds) before another scaling activity of the same type can begin. CloudOps guidance explains that cooldown prevents rapid successive scale-outs by allowing time for the newly launched instance(s) to register with the load balancer and impact the metric. Even if the alarm breaches multiple times during the cooldown window, the group waits until the cooldown completes before evaluating and acting again. In this case, although RequestCountPerTarget exceeded the threshold twice within 180 seconds, the group will launch a single instance and then wait for cooldown before any additional scale-out can occur. Options A, C, and D do not reflect the behavior of simple scaling with cooldowns; A describes step/target-tracking-like behavior, and C/D are not Auto Scaling mechanics.
References:* Amazon EC2 Auto Scaling - Simple Scaling Policies and Cooldown (User Guide)* Elastic Load Balancing Metrics - ALB RequestCountPerTarget (CloudWatch Metrics)* AWS Well-Architected Framework - Performance Efficiency & Operational Excellence
NEW QUESTION # 181
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