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To become an AWS Certified Machine Learning - Specialty, one must pass the AWS Certified Machine Learning - Specialty exam. This certification demonstrates an individual's expertise in using machine learning services and technology on the AWS platform.
Exam Objectives:
- Designing and deploying machine learning models on the AWS platform
- Selecting appropriate AWS services for a given machine learning use case
- Leveraging managed services for machine learning on the AWS platform
- Implementing automated machine learning workflows on the AWS platform
- Building, training, and deploying machine learning models using Amazon SageMaker
- Integrating machine learning models into an application or solution on the AWS platform
- Optimizing, monitoring, and maintaining machine learning models on the AWS platform
- Using AWS services for distributed and scalable machine learning
Topics Covered:
- Amazon SageMaker service
- AWS Glue and AWS Lake Formation
- Amazon Neptune for graph databases
- Amazon EMR for big data processing and analysis
- AWS DeepRacer for reinforcement learning
- Amazon Rekognition for image and video analysis
- Amazon Textract for text analysis
- Amazon Forecast for time-series forecasting
- Amazon Translate for natural language processing
Exam Details:
- Cost: The cost of the AWS Certified Machine Learning - Specialty exam is $300
- Passing Mark: The minimum passing mark for the exam is 720 out of 1000
- Time: The exam time is 130 minutes
- Delivery Method: The exam is delivered in a proctored, online format
- Format: The exam format consists of multiple-choice and multiple-response questions
To prepare for the AWS Certified Machine Learning - Specialty exam, it is recommended to have hands-on experience using AWS services for machine learning and to review the exam objectives and topics covered. Additionally, taking a AWS Certified Machine Learning - Specialty course or attending AWS training sessions can also help in preparing for the exam.
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