# MLA-C01 > Focused prep for the AWS Machine Learning Engineer Associate exam Canonical page: [https://chrome-stats.com/d/com.rdvxsoftware.awsmlac01](https://chrome-stats.com/d/com.rdvxsoftware.awsmlac01) ## Overview - **ID:** `com.rdvxsoftware.awsmlac01` - **Platform:** Android - **Type:** Android app - **Status:** Available - **Publisher:** RDVX Software - **Category:** EDUCATION - **Downloads:** 14 - **Version:** 1.0.0 - **Last updated:** 2026-03-16 - **First published:** 2026-03-16 - **Publisher country:** US - **Size:** 30 MB - **Data as of:** 2026-09-14 - **Store listing:** [Google Play Store](https://play.google.com/store/apps/details?id=com.rdvxsoftware.awsmlac01) - **Website:** [https://www.rdvxsoftware.com/](https://www.rdvxsoftware.com/) - **Privacy policy:** [https://www.rdvxsoftware.com/apps/aws-mla-c01/privacy-policy](https://www.rdvxsoftware.com/apps/aws-mla-c01/privacy-policy) ## Description Machine Learning Engineer Associate Prep helps you get ready for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) exam. Practice across all four domains and twelve task statements aligned to the official exam guide, study with short lessons, take timed quizzes, and run a full mock exam.

What you get:

Practice by task — All 12 task statements across 4 domains, fully aligned to the official MLA-C01 exam outline. Covers data preparation, model development, deployment, and monitoring.
Learn mode — Short lessons with inline questions to help concepts stick before you drill practice questions.
Study mode — Structured practice by task with a set number of questions; track what you've mastered.
Quiz mode — Timed quizzes by task with scoring and answer review.
Mock exam — Domain-weighted full exam simulation. Same format and timing as the real test.
Progress & stats — Track performance across tasks and domains, view session history, and unlock achievements.
Multiple languages — English, Spanish, and more. a Content is aligned with the official AWS MLA-C01 exam guide and covers all four domains:
Data Preparation for ML
ML Model Development
Deployment and Orchestration of ML Workflows
ML Solution Monitoring, Maintenance, and Security
Key features (bullet list for flyers / ads)
Exam-aligned content — Built from the official AWS MLA-C01 exam guide (task-based structure).
All 12 task statements — Complete coverage across all four exam domains.
Four study modes — Learn, Study, Quiz, and Mock Exam.
Domain-weighted mock exam — Simulates the real MLA-C01 test format and timing.
Progress tracking — Session history, statistics, and weak area identification.
Achievements — Stay motivated as you study and improve.
Target audience
Anyone preparing for the AWS Certified Machine Learning Engineer – Associate (MLA-C01) certification.
Data engineers, ML engineers, and cloud professionals moving into machine learning roles.
Developers who work with Amazon SageMaker, ML pipelines, and AWS AI/ML services.
Exam reference (for promo)
Exam: AWS Certified Machine Learning Engineer – Associate (MLA-C01)
Domains:
Domain Weight
1. Data Preparation for ML 28%
2. ML Model Development 26%
3. Deployment and Orchestration of ML Workflows 22%
4. ML Solution Monitoring, Maintenance, and Security 24%
Task statements: 12 total across all domains. ## Rankings - #2,716,088 — Overall ## Permissions and access ### Permissions - `android.permission.ACCESS_ADSERVICES_AD_ID` - `android.permission.ACCESS_ADSERVICES_ATTRIBUTION` - `android.permission.ACCESS_ADSERVICES_TOPICS` - `android.permission.ACCESS_NETWORK_STATE` - `android.permission.FOREGROUND_SERVICE` - `android.permission.INTERNET` - `android.permission.WAKE_LOCK` - `com.android.vending.CHECK_LICENSE` - `com.google.android.gms.permission.AD_ID` - `com.rdvxsoftware.awsmlac01.DYNAMIC_RECEIVER_NOT_EXPORTED_PERMISSION` ## Similar extensions and apps - [MLA-C01 Practice](https://chrome-stats.com/d/com.studykits.aws_mla_c01) — 4 users - [AWS ML Engineer MLA-C01](https://chrome-stats.com/d/io.github.devsteamit.mlac01) — 18 users - [AWS ML Engineer Exam Pass](https://chrome-stats.com/d/com.exampass.aws.mla) — 58 users - [AWS ML Engineer Exam Prep 2026](https://chrome-stats.com/d/com.techprep.awsmla) — 24 users - [AWS Machine Learning Exam](https://chrome-stats.com/d/com.tanaltan.awsml) — 3 users - [AWS MLA-C01 Dojo Exam](https://chrome-stats.com/d/com.tutorialsdojo.dojoexam.mlac01) — 45 users - [AWS MLA-C01 2026 ® ExamCert](https://chrome-stats.com/d/com.andypham.awsmlac01) — 83 users - [AWS MLA-C01 Exam 2026](https://chrome-stats.com/d/com.trieudadlovestun.mlac01exam) — 20 users - [AWS ML Specialty MLS-C01](https://chrome-stats.com/d/io.github.devsteamit.mlsc01) — 11 users - [AWS ML Engineer CertSim](https://chrome-stats.com/d/com.certsim.aws.mla2) — 1 users - [AWS Machine Learning Exam Pass](https://chrome-stats.com/d/com.exampass.aws.mls) — 144 users - [AWS Machine Learning Engineer](https://chrome-stats.com/d/com.trieudadlovestun.mlac01) — 58 users --- Source: [Chrome-Stats](https://chrome-stats.com/d/com.rdvxsoftware.awsmlac01)