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Google Professional Machine Learning Engineer : Professional-Machine-Learning-Engineer

Professional-Machine-Learning-Engineer

考試編碼: Professional-Machine-Learning-Engineer

考試名稱: Google Professional Machine Learning Engineer

更新時間: 2026-08-18

問題數量: 412 題

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Google Professional-Machine-Learning-Engineer 考試大綱:

主題簡介
主題 1
  • Collaborating within and across teams to manage data and models: It explores and processes organization-wide data including Apache Spark, Cloud Storage, Apache Hadoop, Cloud SQL, and Cloud Spanner. The topic also discusses using Jupyter Notebooks to model prototypes. Lastly, it discusses tracking and running ML experiments.
主題 2
  • Monitoring ML solutions: It identifies risks to ML solutions. Moreover, the topic discusses monitoring, testing, and troubleshooting ML solutions.
主題 3
  • Architecting low-code AI solutions: This section of the exam measures the skills of Google Machine Learning Engineers and covers developing machine learning models using BigQuery ML. It includes selecting appropriate models for business problems, such as linear and binary classification, regression, time series, matrix factorization, boosted trees, and autoencoders. Additionally, it involves feature engineering or selection and generating predictions using BigQuery ML.

參考:https://cloud.google.com/certification/guides/machine-learning-engineer

Professional-Machine-Learning-Engineer 相關考試
Professional-Data-Engineer - Google Certified Professional Data Engineer Exam
ADP - Associate Data Practitioner
GCP-SOE-B - Security Operations Engineer (Beta)
Associate-Cloud-Engineer-JPN - Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer日本語版)
Professional-Cloud-Security-Engineer-JPN - Google Cloud Certified - Professional Cloud Security Engineer Exam (Professional-Cloud-Security-Engineer日本語版)
相關認證
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