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Machine Learning in Amazon Web Services (AWS) Test
Machine learning on AWS brings together scalable infrastructure, powerful managed services, and a wide range of AI tools. From preparing massive datasets to deploying models in production, AWS provides the ecosystem for end-to-end ML workflows. The Machine Learning in AWS Test evaluates a candidate’s ability to use AWS services effectively for building, training, deploying, and managing machine learning solutions.
Duration (Customizable)
14 min
Skills Covered
4
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About the Machine Learning in Amazon Web Services (AWS) Test
You’ll be evaluated across four critical areas:
Data Engineering & Preparation for ML on AWS
Demonstrate use of Amazon S3, Glue, Kinesis, and Redshift for data collection, preparation, and transformation at scale.Model Building & Training on Amazon SageMaker
Apply SageMaker features for training, tuning, and scaling models using built-in algorithms, custom frameworks, and distributed training with GPUs.Model Deployment & Inference on AWS
Deploy models as endpoints in SageMaker, integrate inference with AWS Lambda, and manage cost-effective, low-latency predictions.MLOps, Monitoring & AI Services on AWS
Use CI/CD pipelines, SageMaker Pipelines, and Model Monitor for automation and drift detection, while leveraging AI services like Comprehend, Rekognition, and Lex for applied solutions.
This is where ML skills meet cloud engineering — proving you can deliver production-ready ML solutions with AWS services.
Covered Skills
Data Engineering & Preparation for ML
Model Building & Training on Amazon SageMaker
Model Deployment & Inference
MLOps, Monitoring & AI Services
Test Details
Type
Engineering skills
Languages
English
Duration
14 minutes
Difficulty
Intermediate
Recommended Job Roles to Use the Machine Learning in Amazon Web Services (AWS)
This test is ideal for data scientists, ML engineers, cloud engineers, and AI specialists working in the AWS ecosystem. It’s also valuable for professionals preparing for AWS Certified Machine Learning – Specialty or roles requiring production-level ML implementation.
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Built-in & Customizable Assessments for Every Role
400+ Pre-Built Tests – covering cognitive, coding, and role-based assessments.
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Scientifically Validated Content – every built-in test is reviewed by subject matter experts for accuracy and fairness.
Flexible Question Types – from multiple choice to coding simulations, design assessments your way.
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Branded Communication – personalize email invites, landing pages, and candidate follow-ups.
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Automated Scoring & Smart Candidate Management
Bulk Invitations & Smart Scheduling – invite hundreds of candidates in one go and set automated reminders.
Automatic Scoring – get instant results the moment candidates complete a test.
AI-Powered Insights – receive recommendations for top performers and borderline candidates.
Real-Time Reporting Dashboard – track progress, completion rates, and detailed results in one place.
AI-Powered Proctoring for Fair & Secure Assessments
Smart Candidate Monitoring – AI-based face detection, absentee tracking, and dual-screen detection.
Activity Tracking – screen & webcam recording, plus tab-switch monitoring to flag suspicious behavior.
Code Safety Controls – copy-paste disabling and detection of pasted code to ensure original work.
Real-Time Alerts & Reports – suspicious actions are flagged instantly, giving you confidence in results.
A Step-by-Step Process With Our Talent Assessment Software
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Set Up
Pick from our test library or build custom assessments for any job role.
Invite Candidates
Send assessments directly through your ATS or any other platform in a few clicks.
Track Performance
Use score cards or reports to review scores, code playback, and behavior logs.
Make Decisions
Collaborate with your team to compare results, spot skills gaps, and select candidates with confidence.
Advanced Proctoring Features
Comprehensive AI-powered monitoring and security features to maintain test integrity
AI-based Face Detection
Advanced AI detects and verifies candidate's face throughout the test, flagging multiple faces or absence to prevent impersonation.
Dual Screen Detection
Monitors and alerts when candidates use multiple screens or external monitors, marking violations for review.
Code Paste Detection
Tracks when candidates paste pre-written code instead of typing their own and flags the behavior for review.
Screen Recording
Captures screen activity and screenshots at intervals, allowing proctors to review unauthorized software use or suspicious behavior.
Webcam Monitoring
Takes camera shots at intervals to ensure continuous monitoring of identity and environment, preventing external help.
Tab Proctoring
Detects and flags when candidates switch between tabs or browsers to prevent searching for answers online.
Flag Suspicious Candidates
Automatically identifies candidates exhibiting unusual behavior like extended absences, dual monitors, or copy-paste attempts.
Copy-Paste Disabling
Disables copy-paste function during assessments to ensure originality and fairness in candidate responses.
Absentee Monitoring
Tracks assessment attempts and duration to help identify delays, missed attempts, and monitor participation.
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