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The AWS Certified CloudOps Engineer - Associate is ideal whether you're just beginning your career in open source or planning to advance your career. Moreover, the AWS Certified CloudOps Engineer - Associate also serves as a great stepping stone to earning advanced AWS Certified CloudOps Engineer - Associate. Success in the SOA-C03 exam is the basic requirement to get the a good job. You get multiple career benefits after cracking the AWS Certified CloudOps Engineer - Associate. These benefits include skills approval, high-paying jobs, and promotions. Read on to find more important details about the Amazon SOA-C03 Exam Questions.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Networking and Content Delivery | 18% | - Optimize and troubleshoot network connectivity and performance
|
| Topic 2: Monitoring, Logging, Analysis, Remediation, and Performance Optimization | 22% | - Remediate issues and optimize performance
|
| Topic 3: Reliability and Business Continuity | 22% | - Implement backup, restore, and disaster recovery strategies
|
| Topic 4: Deployment, Provisioning, and Automation | 20% | - Deploy and provision resources consistently
|
| Topic 5: Security and Compliance | 18% | - Implement identity and access management
|
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NEW QUESTION # 315
A company has users that deploy Amazon EC2 instances with more Amazon EBS performance capacity than required. A CloudOps engineer must review all EBS volumes and create cost optimization recommendations based on IOPS and throughput.
What should the CloudOps engineer do in the MOST operationally efficient way?
Answer: C
Explanation:
Comprehensive Explanation (250-350 words):
AWS Compute Optimizer analyzes historical utilization metrics and provides rightsizing recommendations for EBS volumes, including IOPS and throughput. It is fully managed, continuously updated, and requires minimal operational effort.
Manual reviews and benchmarking do not scale. Changing instance types does not address EBS overprovisioning.
Therefore, AWS Compute Optimizer is the best solution.
NEW QUESTION # 316
A company hosts a static website in an Amazon S3 bucket, accessed globally via Amazon CloudFront. The Cache-Control max-age header is set to 1 hour, and Maximum TTL is set to 5 minutes. The CloudOps engineer observes that CloudFront is not caching objects for the expected duration.
What is the reason for this issue?
Answer: C
Explanation:
As per the AWS Cloud Operations and Content Delivery documentation, CloudFront determines cache behavior by evaluating both origin headers (e.g., Cache-Control and Expires) and distribution-level TTL settings.
When Cache-Control max-age conflicts with the Maximum TTL configured in CloudFront, the shorter TTL value takes precedence. This results in CloudFront caching content for only 5 minutes instead of 1 hour, despite the origin headers suggesting a longer duration.
AWS documentation explicitly states: "When both origin cache headers and CloudFront TTL settings are defined, CloudFront uses the most restrictive caching period." This mismatch causes the perceived performance drop, as CloudFront frequently revalidates content.
Therefore, Option D is correct - cache-duration settings conflict with each other, leading to unexpected caching behavior.
Reference: AWS Cloud Operations & Content Delivery Guide - Interaction Between Cache-Control Headers and CloudFront TTL Settings
NEW QUESTION # 317
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: D
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:* 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 # 318
A company has multiple Amazon EC2 instances that run the Ubuntu operating system (OS). The company must patch the OS regularly. A CloudOps engineer installs patches manually every week. The company adds new EC2 instances that run Ubuntu continuously. The CloudOps engineer needs to automate the patching process. Which solution will meet this requirement in the MOST operationally efficient way?
Answer: A
Explanation:
AWS Systems Manager Patch Manager is purpose-built to automate operating system patching for managed instances, including Ubuntu instances that use SSM Agent. It supports recurring patching schedules, making it the most operationally efficient option for continuously growing fleets of EC2 instances. AWS documentation states that Patch Manager automates patching for managed nodes and supports Ubuntu Server among the supported Linux operating systems.
NEW QUESTION # 319
An application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The application takes up to 2 minutes to populate a local cache after the application is started. The application reports as healthy in the target group health check a few seconds after starting.
A CloudOps engineer observes that after some of the instances are rebooted, the instances receive an equal share of the traffic immediately after each instance reports as healthy. The application needs to receive a gradually increasing share of the traffic while the application cache is populated.
Which solution will meet this requirement?
Answer: B
Explanation:
The slow start feature of an ALB target group (slow_start.duration_seconds) is specifically designed to let new or newly healthy targets ramp up gradually, giving them a smaller, increasing share of traffic over a defined period. Setting it to 120 seconds allows each instance to warm its local cache during that time instead of receiving a full share of requests immediately, which matches the 2-minute cache warm-up requirement.
NEW QUESTION # 320
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