Testprep Training AWS Machine Learning Specialty Practice Exam Testprep Training
  • Duration / Course length: 1 To 2 Months Start now
  • Accredited in: USA
  • Course delivery: This course is delivered in video format

Course details

About AWS Certified Machine Learning - Specialty Practice Exam

AWS Certified Machine Learning - Specialty certification exam 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 ;

Skills 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 AWS Knowledge

Successful candidate likely has one to two years of hands-on experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud, along with -

  • Ability to express the intuition behind basic ML algorithms
  • Experience performing basic hyperparameter optimization
  • Experience with ML and deep learning frameworks
  • Ability to follow model-training best practices
  • Ability to follow deployment and operational best practices
Course outline for AWS Certified Machine Learning - Specialty Practice Exam

Domain 1: Data Engineering

  • Create data repositories for machine learning.
  • Identify and implement a data-ingestion solution. 
  • Identify and implement a data-transformation solution. 

Domain 2: Exploratory Data Analysis

  • Sanitize and prepare data for modeling. 
  • Perform feature engineering. 
  • Analyze and visualize data for machine learning. 

Domain 3: Modeling

  • Frame business problems as machine learning problems.
  • Select the appropriate model(s) for a given machine learning problem. 
  • Train machine learning models. 
  • Perform hyperparameter optimization. 
  • Evaluate machine learning models. 

Domain 4: Machine Learning Implementation and Operations

  • Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance. 
  • Recommend and implement the appropriate machine learning services and features for a given problem. 
  • Apply basic AWS security practices to machine learning solutions. 
  • Deploy and operationalize machine learning solutions.

Testprep training helps individuals to prepare for different competitive exams of vendors like AWS, Google, Microsoft etc.

  • Format: Practice Exam
  • No. of Questions: 264 Questions
  • Delivery: Online, Immediate
  • Test Modes: Practice, Exam

Updated on 09 September, 2020

About Testprep Training

Testpreptraining aims to bring in the best assessments and training solutions for learners preparing for various important exams globally. Our tests are designed to allow the learner to practice while preparing for the exam. Tests can be taken as many times as required so that the learner can build confidence along with ability.

They can also take the test as “timed” tests simulating the pressure a learner would feel when taking the actual exam.
We offer testprep examination and elearning courses for 200 certification exams and entrance tests, with a 90% first time pass rate for people who have used testpreptraining for preparation.

TestPrepTraining provides simulated real examination tests for important professional certification exams globally including:-
AWS, Google, CompTIA, Microsoft, Linux, SAS and college entrance exams like GMAT, GRE, IELTS etc.

More than 10,000 assessments are mapped to these courses and our content library and integrated with high end analytics to track your progress with respect to examination pass marks and general pass rates. Each question comes with detailed answer.

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