Practice Exam AWS Certified Solutions Architect Professional (Udemy.com)

Preparing for AWS Certified Solutions Architect Professional SAP-C02? This is THE practice exams course to give you the winning edge.

These practice exams have been co-authored by Stephane Maarek and Abhishek Singh who bring their collective experience of passing 20 AWS Certifications to the table.

Why Serious Learners Choose These Practice Exams

• Human-crafted, exam-aware questions backed by real AWS expertise
  Every item is designed by an instructor with deep, hands-on AWS experience and insight into how AWS actually tests concepts, not mass-generated by generic AI tools.

• Authentic exam feel with blueprint-aligned difficulty and distractors
  Questions mirror the tone, complexity, and trap patterns used in actual certification exams, helping learners build confidence under realistic conditions.

• Enhanced with diagrams, flows, and AWS-doc-based explanations
  Answers include visually rich explanations, custom diagrams, and carefully written descriptions distilled from official AWS documentation.

• Updated to reflect real-world patterns and the latest AWS services
  Content stays aligned with how AWS evolves its exams, focusing on the topics and service combinations most likely to appear in current and upcoming versions.

• Designed to build actual problem-solving skill, not just memorization
  Scenarios train reasoning across architectures, security and data, preparing learners to think like experienced AWS Architects. Do not just ace the exam, become a stronger AWS Professional.

We want you to think of this course as the final pit-stop so that you can cross the winning line with absolute confidence and get AWS Certified! Trust our process, you are in good hands.

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SAMPLE QUESTION:

A silicon valley based unicorn startup recently launched a video-sharing social networking service called KitKot. The startup uses AWS Cloud to manage the IT infrastructure. Users upload video files up to 1 GB in size to a single EC2 instance based application server which stores them on a shared EFS file system. Another set of EC2 instances managed via an Auto Scaling group, periodically scans the EFS share directory for new files to process and generate new videos (for thumbnails and composite visual effects) according to the video processing instructions that are uploaded alongside the raw video files. Post-processing, the raw video files are deleted from the EFS file system and the results are stored in an S3 bucket. Links to the processed video files are sent via in-app notifications to the users. The startup has recently found that even as more instances are added to the Auto Scaling Group, many files are processed twice, therefore image processing speed is not improved.

As an AWS Certified Solutions Architect Professional, what would you recommend to improve the reliability of the solution as well as eliminate the redundant processing of video files?

1. Refactor the application to run from Amazon S3 instead of the EFS file system and upload the video files directly to an S3 bucket via an API Gateway based REST API. Configure an S3 trigger to invoke a Lambda function each time a file is uploaded and the Lambda in turn processes the video and stores the processed files in another bucket. Leverage CloudWatch Events to trigger an SNS notification to send an in-app notification to the user containing the links to the processed files

2. Refactor the application to run from S3 instead of EFS and upload the video files directly to an S3 bucket. Configure an S3 trigger to invoke a Lambda function on each video file upload to S3 that puts a message in an SQS queue containing the link and the video processing instructions. Change the video processing application to read from the SQS queue and the S3 bucket. Configure the queue depth metric to scale the size of the Auto Scaling group for video processing instances. Leverage CloudWatch Events to trigger an SNS notification to the user containing the links to the processed files

3. Refactor the application to run from S3 instead of EFS and upload the video files directly to an S3 bucket. Set up an EventBridge event to trigger a Lambda function on each file upload that puts a message in an SQS queue containing the link and the video processing instructions. Change the video processing application to read from SQS queue for new files and configure the queue depth metric to scale instances in the video processing Auto Scaling group. Leverage EventBridge events to trigger an SNS notification to the user containing the links to the processed files

4. Create an hourly cron job on the application server to synchronize the contents of the EFS share with S3. Trigger a Lambda function every time a file is uploaded to S3 and process the video file to store the results in another S3 bucket. Once the file is processed, leverage CloudWatch Events to trigger an SNS notification to send an in-app notification to the user containing the links to the processed files

What's your guess? Scroll below for the answer.

Correct: 2.

Refactor the application to run from S3 instead of EFS and upload the video files directly to an S3 bucket. Configure an S3 trigger to invoke a Lambda function on each video file upload to S3 that puts a message in an SQS queue containing the link and the video processing instructions. Change the video processing application to read from the SQS queue and the S3 bucket. Configure the queue depth metric to scale the size of the Auto Scaling group for video processing instances. Leverage CloudWatch Events to trigger an SNS notification to the user containing the links to the processed files