AWS Certified Machine Learning Specialty Practice Exam
AWS Certified Machine Learning – Specialty
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 problems.
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
Exam Details for AWS Certified Machine Learning – Specialty Practice Exam
- Exam Format: Multiple choice, multiple answer
- Exam Type: Specialty
- Exam Time: 170 minutes to complete the exam
- Exam Cost: 300 USD (Practice exam: 40 USD)
- Exam Languages: Available in English, Japanese, Korean, and Simplified Chinese
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
1.1 Create data repositories for machine learning.
1.2 Identify and implement a data-ingestion solution.
1.3 Identify and implement a data-transformation solution.
Domain 2: Exploratory Data Analysis
2.1 Sanitize and prepare data for modeling.
2.2 Perform feature engineering.
2.3 Analyze and visualize data for machine learning.
Domain 3: Modeling
3.1 Frame business problems as machine learning problems.
3.2 Select the appropriate model(s) for a given machine learning problem.
3.3 Train machine learning models.
3.4 Perform hyperparameter optimization.
3.5 Evaluate machine learning models.
Domain 4: Machine Learning Implementation and Operations
4.1 Build machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance.
4.2 Recommend and implement the appropriate machine learning services and features for a given problem.
4.3 Apply basic AWS security practices to machine learning solutions.
4.4 Deploy and operationalize machine learning solutions.
FAQs on AWS Certified Machine Learning – Specialty Practice Exam
1. Does Testprep Training offer Money Back Guarantee for the Exam Simulator?
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2. Is there any assistance from Testprep Training in terms of exam preparation?
Yes, Testprep Training offers email support for any certification related query while you are preparing for the exam using our practice exams. Your query will be handled by experts in due course.
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Yes, testprep training offers free practice tests for CISSP - ISSAP Information Systems Security Architecture Professional Certification Exam which can be used before the final purchase for the complete test.
4. Do you provide any preparation guidance for this certification exam?
Yes, our experts frequently blog about the tips and tricks for exam preparation.
5. Do you offer any discount on the bulk purchase?
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