AWS Certified Machine Learning – Specialty - Mock Test
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Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
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AWS Certified Machine Learning – Specialty - Mock Test

AWS MLS-C01 Certification Exam | Latest & Unique Questionnaires
3.1 (16 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
44 students enrolled
Created by BINKIS DEV
Last updated 3/2020
English
AWS Certified Machine Learning – Specialty - Mock Test
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This course includes
  • 2 Practice Tests
  • Full lifetime access
  • Access on mobile
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Requirements
  • The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.
  • 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud
Included in This Course
+ Practice Tests
2 Tests 121 questions

AWSMLS-C01 Exam Details:

Format - Multiple choice, multiple answer

Time - 170 minutes to complete the exam

Cost - 300$

Recommended Knowledge and Experience

1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud

The ability to express the intuition behind basic ML algorithms

Experience performing basic hyperparameter optimization

Experience with ML and deep learning frameworks

The ability to follow model-training best practices

The ability to follow deployment and operational best practices

AWS MLS-C01 - Test I
60 questions

AWSMLS-C01 Exam Details:

Format - Multiple choice, multiple answer

Time - 170 minutes to complete the exam

Cost - 300$

Recommended Knowledge and Experience

1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud

The ability to express the intuition behind basic ML algorithms

Experience performing basic hyperparameter optimization

Experience with ML and deep learning frameworks

The ability to follow model-training best practices

The ability to follow deployment and operational best practices

AWS MLS-C01 - Test II
61 questions
Description

The AWS Certified Machine Learning - Specialty (MLS-C01)

The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.

Abilities Validated by the Certification

  • Select and justify the appropriate ML approach for a given business problem

  • Identify appropriate AWS services to implement ML solutions

  • Design and implement scalable, cost-optimized, reliable, and secure ML solutions

Recommended Knowledge and Experience

  • 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud

  • The ability to express the intuition behind basic ML algorithms

  • Experience performing basic hyperparameter optimization

  • Experience with ML and deep learning frameworks

  • The ability to follow model-training best practices

  • The ability to follow deployment and operational best practices

Prepare for Your Exam

There is no better preparation than hands-on experience. There are many relevant AWS Training courses and other resources to assist you with acquiring additional knowledge and skills to prepare for certification. Please review the exam guide for information about the competencies assessed on the certification exam on AWS site -> AWS Certification section.

To ensure success in AWS Certified Machine Learning - Specialty (MLS-C01) certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for AWS Certified Machine Learning - Specialty (MLS-C01) exam.

Who this course is for:
  • The candidates who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.
  • And 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud