AWS Machine Learning Exam vs MLA ML Engineer Exam Prep
Price, ratings, monetisation and update history for both apps, side by side β with what reviewers say about each.
AWS Machine Learning Exam
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Prepare for AWS Certified Machine Learning Engineer - Associate (MLA-C01) with focused practice for building, deploying, monitoring, and maintaining machine learning solutions on AWS. AWS Machine Learning Exam includes 30 practice exam sets and 1,950 original one-best-answer questions. Each 65-question set helps you practice data preparation, model development, deployment, orchestration, monitoring, maintenance, and ML security. WHAT YOU'LL PRACTICE: β’ Data ingestion, preparation, transformation, and feature engineering β’ Machine learning model development and evaluation β’ Model deployment, orchestration, and production workflows β’ Monitoring, maintenance, governance, and troubleshooting β’ Security and access controls for machine learning workloads STUDY AND REVIEW: β’ Work through machine learning scenario questions β’ See correct and incorrect results immediately after answering β’ Review clear explanations after answering β’ Save useful questions and revisit them later β’ Continue from your latest study position β’ Set optional study reminders UNDERSTAND YOUR RESULTS: β’ View progress across all 30 exam sets β’ Open detailed reports for completed attempts β’ Filter question results by correct, incorrect, unanswered, or saved status β’ Return directly to individual questions from a report β’ Retake an exam when you are ready to try again Terms of use: https://www.apple.com/legal/internet-services/itunes/dev/stdeula/
MLA ML Engineer Exam Prep
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Keep studying across your phone, tablet and desktop. Use your phone on the move and a tablet or desktop when you want more room to study. Connect the same StudyCert account to continue your learning in the app and on the desktop web. Prepare for AWS Certified Machine Learning Engineer - Associate (MLA-C01) with 584 practice questions and 160 key terms. Study coverage Β· 4 areas β’ Data Preparation for Machine Learning (ML) β’ ML Model Development β’ Deployment and Orchestration of ML Workflows β’ ML Solution Monitoring, Maintenance, and Security 1. Build your foundation with key terms Use flashcards to learn meanings, exam context and selection cues. Mark terms as known or not yet known, then revisit unstudied or unfamiliar cards. Edit card content to suit your learning and restore the original when needed. 2. Practice and understand each answer Study in 50-question sets, by domain or by difficulty. Work through single- and multiple-choice questions, then read the explanation for the answer and each option. Choose all, unfinished or wrong questions; shuffle questions and choices; use a study timer; and resume where you left off. 3. Review mistakes and uncertain concepts Collect questions marked for review, recent errors and repeated mistakes. Filter by cumulative wrong-answer count and focus on weaker domains or difficulty levels. The glossary report connects your known/not-yet records with accuracy on related questions. 4. Check your preparation with a mock exam Practice time management with 65 questions in 130 minutes. Change answers before submission, resume a saved exam and receive grading when time expires. Afterwards, see correct, wrong and unanswered counts, your score and domain results, then revisit mistakes. Tools that fit your study routine Optional audio study reads terms and meanings aloud. Choose whether to include exam context and selection cues, set repeats and pauses, and control playback with the mini player. In the mobile app, audio can continue in the background and with the screen locked. A study calendar, learning streaks, weekly goals, reminders for unmet goals and light, dark or system themes support your routine. Learning records are managed for each supported language. Some features require paid access. Check the included features and price on the purchase screen. Purchase restoration is supported. This is an independent study aid, not an official, affiliated or endorsed app of any exam administrator or certification body. Exam names and trademarks belong to their respective owners.
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Verdict
The clearest difference is ads: MLA ML Engineer Exam Prep at none against AWS Machine Learning Exam's shown. MLA ML Engineer Exam Prep also leads on update cadence (weekly vs every 2 months). On price, in-app purchases, device support and iOS requirement there is nothing between them.
Scored on Price Β· Rating Β· Positive reviews Β· Number of ratings Β· Update frequency Β· Ads Β· In-app purchases Β· Monetization Β· Best chart rank Β· Devices Β· Requires iOS
Both are free to download. AWS Machine Learning Exam sells 3 in-app purchases, starting at $1.99 per 7 days and MLA ML Engineer Exam Prep sells 1 one-off in-app purchase. Whichever you choose, the download price is not the number that matters.
AWS Machine Learning Exam ships an update every 2 months, MLA ML Engineer Exam Prep weekly. The most recent releases landed on October 28, 2026 and October 24, 2026 respectively.
| Parameter | AWS Machine Learning Exam | MLA ML Engineer Exam Prep |
|---|---|---|
| Price | Free | Free |
| Update frequency | Every 2 months | Weekly β better |
| Ads | Yes | No β better |
| In-app purchases | Yes | Yes |
| Devices | iPhone, iPad | iPhone, iPad, iPod β better |
| Requires iOS | 16.4 | 15.1 β better |
| Further details β not scored | ||
| Size | 83 MB | 117 MB |
| Age rating | 4+ | 4+ |
| Developer | Koray Salman | CHOI SEONGMIN |
In-app purchases
AWS Machine Learning Exam
- Subscription - Weekly$1.997 Days
- Subscription - Monthly$5.991 Month
- Subscription - Yearly$29.991 Year
MLA ML Engineer Exam Prep
- MLA Lifetime Access$4.99
Questions
Is AWS Machine Learning Exam free?
Is MLA ML Engineer Exam Prep free?
Do AWS Machine Learning Exam or MLA ML Engineer Exam Prep have ads?
Which is updated more often, AWS Machine Learning Exam or MLA ML Engineer Exam Prep?
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