Latest Amazon MLS-C01 Braindump

AWS Certified Machine Learning - Specialty Practice Exam Questions and Answers
  • MLS-C01 - AWS Certified Machine Learning - Specialty
  • Questions & Answers (PDF): 208
  • Testing Engine Included
  • Android App Testing Engine Included
  • Last update: 4-Feb-2023
  • Free Updates: 90 Days
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MLS-C01 Exam Format & Objectives

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

To pass the AWS Certified Machine Learning - Specialty (MLS-C01) exam, the following steps can be taken:

  • Familiarize yourself with the exam objectives and content areas as outlined in the Exam Objectives section below.
  • Study relevant AWS documentation, including the AWS Machine Learning whitepapers, and other AWS documentation related to the topics covered in the exam.
  • Participate in practical exercises and hands-on experience with AWS Machine Learning services.
  • Utilize online training resources, such as AWS training courses, practice exams, and other study materials.
  • Network with other AWS certified individuals and participate in online forums related to AWS Machine Learning.

Exam Details:

  • Cost: $300 USD
  • Passing Mark: 720 out of 1000
  • Time: 130 minutes
  • Delivery Method: Online, proctored
  • Format: 65 multiple-choice and multiple-response questions

Exam Objectives:

The AWS Certified Machine Learning - Specialty (MLS-C01) exam is intended for individuals who perform a role as a Machine Learning specialist. It validates the examinee's ability to:

  • Define the problem and determine the appropriate data sources
  • Select the appropriate AWS service for a given use case
  • Design, implement, and deploy a Machine Learning solution on AWS
  • Evaluate the performance of a Machine Learning solution and make improvements as necessary
  • Ensure the security and privacy of data used for Machine Learning solutions
  • Monitor and maintain a Machine Learning solution

It is recommended that individuals seeking to take the MLS-C01 exam have hands-on experience with AWS Machine Learning services and a good understanding of the underlying mathematical concepts used in Machine Learning.

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