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Career Opportunities

The certified individuals can explore a variety of job opportunities. Some of the positions that they can take up include a Software Engineer, a Cloud Architect, a Data Engineer, a Sales Engineer, a Data Scientist, a Cloud Developer, and a Kubernetes Architect, among others. The salary outlook for these job roles is an average of $128,500 per annum.

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Understanding functional and technical aspects of Google Professional Data Engineer Exam Operationalizing machine learning models

The following will be discussed here:

• Use of edge compute
• Ingesting appropriate data
• ML APIs (e.g., Vision API, Speech API)
• Distributed vs. single machine
• Deploying an ML pipeline
• Measuring, monitoring, and troubleshooting machine learning models
• Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics)
• Customizing ML APIs (e.g., AutoML Vision, Auto ML text)
• Choosing the appropriate training and serving infrastructure
• Conversational experiences (e.g., Dialogflow)
• Leveraging pre-built ML models as a service
• Continuous evaluation
• Operationalizing machine learning models
• Impact of dependencies of machine learning models
• Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML)
• Common sources of error (e.g., assumptions about data)
• Hardware accelerators (e.g., GPU, TPU)

Reference: https://cloud.google.com/certification/data-engineer

Who is the Professional Data Engineer Exam Intended for?

This exam is designed for individuals who are experts in designing, building, securing, and monitoring data processing systems with a particular emphasis on compliance and security. The candidate who wants to take the Professional Data Engineer exam should have the ability to deploy, leverage, and training pre-existing machine learning models. Moreover, every applicant should have experience of more than 3 years including 1-year experience in designing and handling solutions utilizing GCP.