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AWS MACHINE LEARNING SPECIALITY CERTIFICATION

by KAUSTUBH SHARMA on July 22, 2022, 11:16 a.m. with 660 views

So, Today we are going to start the preparation for AWS Machine Learning certification. I have divided it into a 30-day program, this is how I prepared for AWS Machine Learning certification. Before starting this certification, I haven't known much or you can say anything about Machine learning, so basically I will start from a very basic level. Hope you will enjoy the journey with me, we are definitely going to learn a lot !!!

QUICK LINKS:

 

 

 

DAY-1

 

EXAM LOGO

AWS Certified Machine Learning - Specialty badge

 

 

EXAM MOTO:

  • To test our expertise in designing, building, deploying, optimizing, training, tuning, and maintaining machine learning (ML) models on AWS for given business problems.

 

EXAM CODE:

  • MLS-C01

 

EXAM PATTERN:

  • There will be two types of questions in the exam:
    • Multiple choice: Has one correct response and three incorrect responses (distractors).
    • Multiple responses: Has two or more correct responses out of five or more response options.
  •  No penalty(no negative marking) for guessing.
  • The exam includes a total of 65(50 Scored with 15 Unscored) questions in total
    • Scored questions(50): These AWS MLS-C01 Certification questions will affect your score.
    • UnScored questions(15): These AWS MLS-C01 Certification questions will not affect your score. These questions are for future use as scored questions.
    • NOTE:  You will not be able to find out which question is scored one or unscored one. You will get a mix of them.

HOW MUCH PASSING SCORE DO I NEED, TO GET AWS ML SPECIALITY CERTIFICATION?

  • 750 out of 1000.

WHAT WILL COME IN THE AWS MACHINE LEARNING SPECIALITY CERTIFICATION EXAM?

 

DOMAIN % OF EXAM
Domain 1: Data Engineering 20%
Domain 2: Exploratory Data Analysis 24%
Domain 3: Modeling 36%
Domain 4: Machine Learning Implementation and Operations 20%
TOTAL 100%

 

WHAT AWS SERVICES WILL COME IN AWS MLS-C01 Exam?

Around Questions based on Core AWS Services questions will

AWS ANALYTICS SERVICES: 

  • Amazon Athena 
  • Amazon EMR 
  • Amazon Kinesis Data Analytics 
  • Amazon Kinesis Data Firehose 
  • Amazon Kinesis Data Streams 
  • Amazon QuickSight 

AWS COMPUTE SERVICES: 

  • AWS Batch 
  • Amazon EC2 
  • Containers 
  • Amazon Elastic Container Registry (Amazon ECR) 
  • Amazon Elastic Container Service (Amazon ECS) 
  • Amazon Elastic Kubernetes Service (Amazon EKS) 

AWS DATABASE SERVICES: 

  • AWS Glue 
  • Amazon Redshift 

AWS INTERNET OF THINGS (IOT) SERVICES: 

  • AWS IoT Greengrass 

AWS MACHINE LEARNING SERVICES: 

  • Amazon Comprehend 
  • AWS Deep Learning AMIs (DLAMI) 
  • AWS DeepLens 
  • Amazon Forecast  
  • Amazon Fraud Detector  
  • Amazon Lex  
  • Amazon Polly  
  • Amazon Rekognition  
  • Amazon SageMaker  
  • Amazon Textract  
  • Amazon Transcribe  
  • Amazon Translate  

AWS MANAGEMENT AND GOVERNANCE SERVICES:  

  • AWS CloudTrail  
  • Amazon CloudWatch  

AWS NETWORKING AND CONTENT DELIVERY SERVICES:  

  • Amazon VPC  

AWS SECURITY, IDENTITY, AND COMPLIANCE SERVICES:  

  • AWS Identity and Access Management (IAM)  

AWS SERVERLESS SERVICES:  

  • AWS Fargate  
  • AWS Lambda  

AWS STORAGE SERVICES:  

  • Amazon Elastic File System (Amazon EFS)  
  • Amazon FSx  
  • Amazon S3 

 

 

 

 

 

Abbreviations Used in this Article:

  •  Machine Learning - ML

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