Google Cloud Professional Data Engineer Practice Tests

Google Cloud Professional Data Engineer Practice Tests

Take these 2 50-question practice tests that span the full scope of the Google Cloud Professional Data Engineer Certification exam to prepare yourself for one of Google Cloud's top certifications.

What can a data engineer certification do for you? The need for data engineers is constantly growing and certified data engineers are some of the top paid certified professionals. Data engineers have a wide range of skills including the ability to design systems to ingest large volumes of data, store data cost-effectively, and efficiently process and analyze data with tools ranging from reporting and visualization to machine learning. Earning a Google Cloud Professional Data Engineer certification demonstrates you have the knowledge and skills to build, tune, and monitor high-performance data engineering systems.

These exams are designed and developed by the author of the official Google Cloud Professional Data Engineer exam guide and a data architect with over 20 years of experience in databases, data architecture, and machine learning. These exams will test how well you understand how to ingest data, creating data processing pipelines, work with both relational and NoSQL databases, design highly performant Bigtable, BigQuery, and Cloud Spanner databases, query Firestore databases, and create a Spark and Hadoop cluster using Cloud Dataproc and more. You will also be tested on how to map business requirements to technical solutions, especially around problems in compliance and security. 

Pass the Google Cloud Professional Data Engineer Exam

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What you will learn

• Practice taking scenario-based questions about data engineering
• Identify appropriate data engineering technology solutions
• Apply principles of machine learning training and evaluation

Rating: 4.43506

Level: Intermediate Level

Duration: 100 questions

Instructor: Dan Sullivan