MLA-C01 Questions – AWS Certified Machine Learning Engineer – Associate

Understand AWS Certified MLA-C01 Exam Overview

The AWS Certified Machine Learning – Associate MLA-C01 exam is designed for individuals who are involved in building, deploying, and maintaining machine learning (ML) solutions and pipelines using the AWS Cloud. This certification validates your ability to operationalize ML workloads and manage ML models throughout their lifecycle using various AWS services, particularly Amazon SageMaker.

Exam Duration: 130 minutes
Number of Questions: 65 questions
Cost: $150
Languages Offered: English, Japanese, Korean, Simplified Chinese
Minimum Passing Score: 720 (out of 1000)
Testing Options: Available through Pearson VUE testing centers or as an online proctored exam.

Master AWS Certified MLA-C01 Exam Domains

AWS Certified MLA-C01 exam tests your knowledge and ability to perform the following tasks in four key domains.

Domain 1: Data Preparation for Machine Learning (28%)

Ingest, transform, validate, and prepare data for ML models.
Handle data preprocessing, cleaning, and transformation.
Manage data storage, retrieval, and data labeling.

Domain 2: ML Model Development (26%)

Select appropriate modeling approaches (e.g., supervised vs. unsupervised learning).
Train models, tune hyperparameters, and evaluate model performance.
Manage model versions and optimize models for better performance.

Domain 3: Deployment and Orchestration of ML Workflows (22%)

Choose appropriate infrastructure and deployment options (e.g., real-time vs. batch inference).
Set up and manage compute resources (e.g., EC2 instances, SageMaker endpoints).
Configure auto-scaling based on requirements.
Build CI/CD pipelines for automating ML workflows.

Domain 4: ML Solution Monitoring, Maintenance, and Security (24%)

Monitor and troubleshoot ML models, data, and infrastructure.
Implement model drift detection, retraining, and validation.
Secure ML systems and resources, adhering to best practices, access control, and compliance.

Skills and Experience Recommended

To be well-prepared for this MLA-C01 exam, candidates should:

Have hands-on experience with AWS ML tools, particularly Amazon SageMaker, S3, Lambda, EC2, IAM, and Glue.
Be comfortable with CI/CD pipelines for automating ML workflows.
Understand how to deploy ML models and monitor them for issues like drift, bias, and failure.
Be familiar with security practices for handling ML models and sensitive data.

The latest MLA-C01 exam questions here are the latest material for you to study all the exam domains.