MLA-C01AWS2025 Latest Questions Updated

AWS Certified Machine Learning Engineer - Associate

Cloud Pass is a practice question app designed for the AWS MLA-C01 (AWS Certified Machine Learning Engineer - Associate) exam.

It provides realistic exam-style questions, accurate answers, and clear concept explanations based on the latest exam trends. Instead of relying on unverified AWS MLA-C01 dumps found online, Cloud Pass offers up-to-date practice questions and detailed explanations to help you study efficiently and improve your score. In addition to the AWS Certified Machine Learning Engineer - Associate (MLA-C01), Cloud Pass supports 24 AWS and GCP certifications, making it an ideal platform for anyone preparing for cloud certification exams.

📘106questions available in the app

⭐ Real User Pass Reviews: MLA-C01

Actual experiences from Cloud Pass users who passed

Passed

2025-11-24

Used these questions exclusively to study, passed on first time. The app questions is very similar to the actual exam.

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Study Period: 2 weeks

Awesome app

2025-11-20

Passed Oct 2025 with 905 score.

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Study Period: 2 weeks

813점 합격

2025-11-04

문제 좋네요 굿굿!!

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Study Period: 1 month

📝 106 Exam Questions

Check out the latest 2025 updated questions

Question 1

A fintech startup has deployed a gradient-boosted tree fraud-detection model with 42 numeric features to an Amazon SageMaker real-time endpoint on ml.m5.large (target p95 latency ≤ 80 ms and ~200 RPS), and compliance officers require per-inference feature attributions (for example, amount=$1,275, country=DE, device_age_days=14) to understand why specific transactions are flagged without changing the model code; which solution will provide explanations for predictions from the live endpoint?

Question 2

In a refinery safety system, an ML engineer must select a binary classifier that detects methane leaks from sensor streams; a missed real leak (false negative) incurs an average incident cost of $120,000 while a false alarm triggers a $300 on-site check and 5 minutes of downtime, so which metric finding should be prioritized the most when choosing the model?

Question 3

A media analytics company operates over 200 ML models across 12 AWS accounts, where each model is packaged as a Docker image stored in account-local Amazon ECR repositories with semantic version tags. Compliance requires a single, cross-account central catalog in a separate governance account that supports versioned entries, approval status (Approved/Pending/Rejected), lineage metadata, and audit logs, provides read-only discovery to a shared data science account, allows producer accounts to register new versions via CI/CD, and avoids duplicating or migrating container images between accounts; which solution should the company implement?

Question 4

An online travel platform with 220 data scientists uses Amazon SageMaker Model Registry to track more than 1,200 model package versions that are already organized into 95 model groups, and the scientists are aligned to three business domains—pricing optimization, search relevance, and fraud detection—so an ML platform engineer must implement a solution to organize the existing assets by these domains to improve discoverability at scale without modifying any model artifacts, model package versions, approval statuses, or current model group memberships. Which solution will meet these requirements?

Question 5

A smart farming startup must build an ML model in Amazon SageMaker that, given 4K drone images (3840x2160) of orchard rows, automatically finds each ripe fruit and returns a class label plus bounding-box coordinates (x_min, y_min, x_max, y_max) for every detection with confidence >= 0.85; which SageMaker algorithm should they use?

🎯 Practice with real exam simulations

Practice in an environment identical to the real exam

Exam simulation 1

130분

Questions

Pass Score

720/1000

📚 Complete Exam Preparation Guide

Comprehensive guide to prepare for the MLA-C01 certification exam.

AWSMLA-C01Machine Learning Engineer Associate

AWS Certified Machine Learning Engineer – Associate (MLA-C01) Complete Study Guide

The complete 2025 guide for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam — data preparation, model development, deployment, and MLOps best practices.

2025-11-10

Read Guide

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❓ Frequently Asked Questions

Check out frequently asked questions and answers

Q. Can I download AWS MLA-C01 exam questions and answers?

A. Cloud Pass provides access to real AWS certification-style questions directly in the app. While we don't offer downloadable PDFs, you can practice all questions anytime, anywhere with detailed explanations.

Q. Are AWS MLA-C01 dumps available in PDF format?

A. No, Cloud Pass does not distribute exam dumps or PDFs. Instead, we provide a clean and interactive experience where you can study with 10,000+ verified practice questions and track your progress across devices.

Q. How can I take practice tests for the AWS MLA-C01 exam?

A. You can take full-length practice tests within the Cloud Pass app. Each test simulates the real AWS exam format, includes instant feedback, and helps you measure your readiness before the actual exam.

Q. Are these AWS MLA-C01 exam questions real or updated for 2025?

A. Yes. All AWS practice questions in Cloud Pass are based on real-world exam topics and updated regularly to reflect the latest AWS Certified Machine Learning Engineer - Associate (MLA-C01) objectives in 2025.