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A Professional Machine Learning Engineer builds and manages machine learning models using Google Cloud technologies. They collaborate with others to bring ML solutions to life.
The exam focuses on your ability to monitor ML solutions, including training, deploying, and optimizing models. It covers real-world scenarios using Google Cloud products.
No, the exam doesn't directly assess coding skills. However, a basic understanding of Python and Cloud SQL is helpful to interpret code snippets in the questions.
There are no formal prerequisites, but Google recommends 3+ years of industry experience, including 1+ year using Google Cloud solutions.
The Professional Machine Learning Engineer certification is valid for two years from the date you pass the exam. You can recertify by taking the exam again.
The exam is two hours long.
The registration fee is $200 USD (plus tax where applicable).
There are 50-60 multiple choice and multiple select questions.
The exam assesses your ability to monitor, deploy, and manage machine learning models in a Google Cloud environment.
MLOps refers to the practices for managing the lifecycle of machine learning models, which is a core concept covered on the exam.
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