AWS Certified Machine Learning Specialty Practice Tests 2025

About AWS Certified Machine Learning Specialty Practice Tests 2025

AWS Certified Machine Learning Specialty Certification is a prestigious credential that validates the expertise and knowledge of individuals in the field of machine learning on the Amazon Web Services platform. This certification is highly sought after by professionals who wish to demonstrate their proficiency in designing, implementing, and maintaining machine learning solutions using AWS services. One of the key features of this certification is the practice exam that covers the latest syllabus. This practice exam is designed to help candidates assess their readiness for the actual certification exam and identify areas where they may need to focus their study efforts. By taking the practice exam, candidates can familiarize themselves with the format of the questions and gain valuable insights into the types of topics that are covered in the certification exam. AWS Certified Machine Learning Specialty Certification is designed for individuals who have a strong background in machine learning and are looking to expand their skills to include AWS-specific knowledge. Candidates for this certification should have a solid understanding of machine learning concepts, algorithms, and techniques, as well as experience working with AWS services such as Amazon SageMaker, Amazon Comprehend, and Amazon Rekognition. To earn the AWS Certified Machine Learning Specialty Certification, candidates must pass a rigorous exam that tests their knowledge and skills in a variety of areas related to machine learning on AWS. The exam covers topics such as data engineering, exploratory data analysis, modeling, machine learning implementation and operations, and machine learning security. In order to prepare for the certification exam, candidates are encouraged to review the exam guide provided by AWS, which outlines the topics that will be covered on the exam and provides resources for further study. Candidates can also take advantage of AWS training courses and certification preparation resources, which are designed to help individuals build the skills and knowledge needed to pass the exam. AWS Certified Machine Learning Specialty Certification is a valuable credential that can open up new career opportunities for individuals in the field of machine learning. By earning this certification, professionals can demonstrate their expertise in designing, implementing, and maintaining machine learning solutions on the AWS platform, which is increasingly becoming the platform of choice for organizations looking to leverage the power of machine learning. AWS Certified Machine Learning Specialty Certification is a highly respected credential that demonstrates an individual's expertise in machine learning on the AWS platform. With a focus on the latest syllabus and a practice exam to help candidates prepare, this certification is a valuable asset for professionals looking to advance their careers in the field of machine learning.

AWS Certified Machine Learning - Specialty Exam details:

Exam Name :

AWS machine learning specialty

Exam code:

MLS-C01

Exam voucher cost:

$300 USD

Exam languages:

English, Japanese, Korean, and Simplified Chinese

Exam format:

Multiple-choice, multiple-answer

Number of questions:

65 (estimate)

Length of exam:

170 minutes

Passing grade:

Score is from 750-1000, passing grade of 750

AWS certifications are valid for 3 years, after which you must recertify (you get a 50% off voucher for your recertification exam from AWS)

AWS Machine Learning Certification Syllabus

Data Engineering: 20%

Exploratory Data Analysis: 24%

Modeling: 36%

Machine Learning Implementation and Operations: 20%

# Domain 1: Data Engineering

The sections that are tested and covered in this domain are as follows:

Development of Machine Learning repositories

Implementation and identification of data ingestion and transformation solutions

# Domain 2: Exploratory Data Analysis

This module comprises modeling and other Machine Learning concepts, along with the ones mentioned below:

Preparation and sanitization of data for modeling

Feature engineering

Data visualization and analyzing for Machine Learning

# Domain 3: Modeling

This is among the most vital domain among the rest when it comes to preparation and examination. The sections covered in this domain are listed below:

Relating business issues with Machine Learning

Training Machine Learning models

Identification of the right model for the respective Machine Learning business problem

Hyperparameter optimization

Evaluation of Machine Learning models

# Domain 4: Machine Learning Implementation and Operations

This domain of the syllabus includes concepts of Implementation and services of Machine Learning, some of which include:

Development of Machine Learning solutions for availability, resiliency, fault-tolerance, and performance

Recommendation and implementation of the right Machine Learning services for the respective issues

Application of basic security practices of AWS to Machine Learning solutions In conclusion, the AWS Certified Machine Learning Specialty Certification is a highly respected credential that demonstrates an individual's expertise in machine learning on the AWS platform. With a focus on the latest syllabus and a practice exam to help candidates prepare, this certification is a valuable asset for professionals looking to advance their careers in the field of machine learning.