AWS Certified Machine Learning - Specialty Study Guide (MLS-C01)

April 24, 2023

Discover the best study materials, books, videos, and practice exams to prepare for the AWS Certified Machine Learning - Specialty (MLS-C01) exam in 2023. Get expert tips and guidance to pass the exam with confidence.

AWS

Our readers support this site. We may use affiliate links when recommending certification training.

Introduction:

Are you preparing for the AWS Certified Machine Learning - Specialty (MLS-C01) exam in 2023? If so, this comprehensive study guide will provide you with the best resources, expert tips, and insights to help you pass the exam with confidence. In this guide, we'll cover the exam objectives, details, and recommended study materials, including books, videos, and practice exams. Let's dive in!

What is the AWS Certified Machine Learning - Specialty (MLS-C01)?

The AWS Certified Machine Learning - Specialty (MLS-C01) certification is designed for individuals who perform a development or data science role and have experience developing, architecting, or running machine learning workloads on the AWS cloud. The certification validates your expertise in building, training, tuning, and deploying machine learning models using AWS services and tools.

How to pass the AWS Certified Machine Learning - Specialty (MLS-C01) (recommended study materials)

AWS Certified Machine Learning - Specialty Study Materials

To effectively prepare for the AWS Certified Machine Learning - Specialty (MLS-C01) exam, we recommend using the following resources:

AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam

Book URL: https://www.amazon.com/Certified-Machine-Learning-Study-Guide/dp/1119821002/

This comprehensive study guide covers all the exam objectives, offers real-world examples, and provides in-depth explanations of the key concepts. Written by AWS experts, it's a must-have resource for anyone preparing for the MLS-C01 exam.

AWS Certified Machine Learning Specialty 2023 - Hands On!

Video training URL: https://www.udemy.com/course/aws-machine-learning/

This hands-on Udemy course, created by AWS Hero Stephane Maarek, covers all the necessary topics to pass the AWS Certified Machine Learning - Specialty exam. With practical examples and real-world use cases, this course helps you gain a deep understanding of the AWS services and tools used in machine learning.

AWS Certified Machine Learning Specialty Practice Exams 2023

Practice exams URL: https://portal.tutorialsdojo.com/courses/aws-certified-machine-learning-specialty-practice-exams/

These practice exams, developed by Jon Bonso, simulate the actual AWS Certified Machine Learning - Specialty exam experience. With a variety of question types and difficulty levels, these practice exams are an excellent way to gauge your preparedness and identify areas where you need to focus your studies.

AWS Documentation

AWS provides a variety of documentation that can help deepen your understanding of the concepts, best practices, and technologies covered in the MLS-C01 exam. This documentation can be an invaluable resource as you prepare for the exam:

Machine Learning on AWS - https://aws.amazon.com/machine-learning/

AWS Certified Machine Learning - Specialty (MLS-C01) Exam Objectives

The AWS Certified Machine Learning - Specialty (MLS-C01) exam focuses on the following domains, with each domain emphasizing specific skills and technologies:

Domain 1: Data Engineering (20%)

In this domain, you'll be tested on your ability to collect, store, and process data using various AWS services and tools. Key technologies include:

Collection: Amazon Kinesis, AWS Glue, AWS Data Pipeline
Storage: Amazon S3, Amazon Redshift, Amazon DynamoDB
Processing: AWS Lambda, Amazon EMR, AWS Glue ETL

Domain 2: Exploratory Data Analysis (24%)

This domain assesses your ability to visualize, perform feature engineering, and clean data using relevant AWS services and tools. Essential technologies include:

Visualization: Amazon QuickSight, Amazon SageMaker Studio
Feature engineering: AWS Glue, Amazon SageMaker Data Wrangler
Data cleaning: AWS Glue DataBrew, Amazon SageMaker Data Wrangler

Domain 3: Modeling (36%)

In this domain, you'll be evaluated on your ability to select appropriate algorithms, train models, and evaluate their performance. Key technologies include:

Algorithm selection: Amazon SageMaker built-in algorithms, AWS Marketplace algorithms, custom algorithms
Training: Amazon SageMaker, Amazon SageMaker Experiments, Amazon SageMaker Ground Truth
Evaluation: Amazon SageMaker Model Monitor, Amazon SageMaker Debugger, AWS Step Functions

Domain 4: Machine Learning Implementation and Operations (20%)

This domain tests your ability to implement scalable, cost-optimized, and secure machine learning solutions using AWS services and tools. Essential technologies include:

Scalability: Amazon SageMaker Pipelines, AWS Auto Scaling, AWS Fargate
Cost optimization: Amazon SageMaker Managed Spot Training, Amazon EC2 Spot Instances, AWS Compute Savings Plans
Security: AWS Identity and Access Management (IAM), Amazon SageMaker PrivateLink, Amazon VPC

By mastering the skills and technologies associated with each domain, you'll be well-prepared to excel in the AWS Certified Machine Learning - Specialty (MLS-C01) exam.

AWS Certified Machine Learning - Specialty (MLS-C01) Exam Details

Exam Format: Multiple choice and multiple response questions
Exam Duration: 180 minutes
Exam Language: Available in English, Japanese, and Korean
Delivery Method: Online proctored exam or testing center
Passing Score: 750 (scaled score)
Exam Fees: $300 USD

Preparing for the AWS Certified Machine Learning - Specialty (MLS-C01) Exam

To effectively prepare for the AWS Certified Machine Learning - Specialty (MLS-C01) exam, follow these steps:

Review the Exam Guide: Familiarize yourself with the exam objectives and domains outlined in the AWS Certified Machine Learning - Specialty exam guide.

Study the recommended materials: Use the recommended study materials mentioned earlier in this guide, including the AWS Certified Machine Learning Study Guide, the Hands-On Udemy course, and the practice exams by Jon Bonso.

Gain practical experience: Work with AWS services and tools related to machine learning in a hands-on manner. Utilize AWS Free Tier resources and experiment with different scenarios to enhance your understanding.

Participate in AWS Community: Engage with the AWS community through forums, blogs, and social media. Discuss topics, ask questions, and share insights with other AWS professionals.

Take practice exams: Assess your readiness by taking the practice exams and identifying areas where you need to focus your studies. Repeat the practice exams until you're consistently scoring well above the passing score.

Why should you get AWS Certified Machine Learning - Specialty (MLS-C01) certified?

Earning the AWS Certified Machine Learning - Specialty (MLS-C01) certification offers several benefits, such as:

Increased credibility: The certification validates your expertise in machine learning on AWS, making you a more attractive candidate for potential employers or clients.

Enhanced career opportunities: As the demand for machine learning professionals grows, having this certification can open doors to new job opportunities and career advancements.

Expanded knowledge: Preparing for the certification exam forces you to deepen your understanding of AWS machine learning services, tools, and best practices.

Networking opportunities: Becoming AWS certified grants you access to an exclusive community of AWS professionals, where you can share knowledge, experiences, and opportunities.

Higher earning potential: Certified professionals typically command higher salaries compared to their non-certified counterparts.

Frequently Asked Questions (FAQ)

How much time should I allocate to preparing for the AWS Certified Machine Learning - Specialty (MLS-C01) exam?

The preparation time varies depending on your experience and familiarity with AWS services and machine learning concepts. On average, most candidates spend 2-3 months studying for the exam.

Is there an expiration date for the AWS Certified Machine Learning - Specialty (MLS-C01) certification?

Yes, the certification is valid for three years from the date you pass the exam. To maintain your certification, you must either retake the exam or earn a higher-level AWS certification.

Are there any prerequisites for taking the AWS Certified Machine Learning - Specialty (MLS-C01) exam?

While there are no strict prerequisites, it's recommended that candidates have at least one to two years of experience developing, architecting, or running machine learning workloads on the AWS cloud.

Can I retake the AWS Certified Machine Learning - Specialty (MLS-C01) exam if I don't pass on my first attempt?

Yes, you can retake the exam after a 14-day waiting period. There is no limit to the number of times you can retake the exam.

What is the exam retake policy?

If you fail the exam, you can retake it after waiting 14 days. If you pass the exam, you can retake it after 180 days to maintain your certification.