Be ready to get your certification as a Google Cloud Professional Data Engineer
What you’ll learn
- Designing data processing systems
- Building and operationalizing data processing systems
- Operationalizing machine learning models
- Ensuring solution quality
Course content
42 questions
Requirements
- Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Description
Are you looking for the Google Cloud Professional Data Engineer Exam Questions? The questions and answers provided here test and enhance your knowledge of the exam objectives.
A professional Data Engineer collects, transforms, and publishes the data, thereby enabling data-driven decision making. Earning a Google Cloud Certified Professional Data Engineer certification may help you in pursuing a better career in the Google cloud industry. To pass the actual exam, you have to spend more time on learning & re-learning through multiple practice tests.
This course is in the form of practice tests and consists of over 250 questions that may appear during the Google Cloud Professional Data Engineer exam. Some questions are self-explanatory. Where necessary, explanations are added to the questions. This course allows you to confirm your proficiency and give you the confidence you need to earn a Google Cloud Professional Data Engineer certification.
This practice test measures your ability to master the following concepts:
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Designing data processing systems
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Building and operationalizing data processing systems
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Operationalizing machine learning models
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Ensuring solution quality
Skills measured :
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Choose appropriate storage systems, including relational, NoSQL and analytical databases
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Deploy machine learning models in production
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Design scalable, resilient distributed data intensive applications
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Evaluate and improve the quality of machine learning models
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Build scalable, reliable data pipelines
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Apply multiple types of machine learning techniques to different use cases
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Monitor data pipelines and machine learning models
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Migrate data warehouse from on-premises to Google Cloud
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Grasp fundamental concepts in machine learning, such as backpropagation, feature engineering, overfitting and underfitting.
Can I take the practice test more than once?
You can take each practical test multiple times. After completing the practice test, your final result will be published. Each time you take the test, the order of questions and answers is randomized.
Who this course is for:
- Everyone who are about to take the Google Cloud Professional Data Engineer exam
- Anyone interested in becoming a data engineer or data analyst
- Everyone who wants to prepare for an interview with Google Cloud
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