Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 0 Minute(s)
Language
English
Taught by
Dan Sullivan, Dan Sullivan
Rating
Course Overview
Pass the Google Cloud Professional Data Engineer Exam
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.
Course Content
- 1 section(s)
- Section 1 Practice Tests
What You’ll Learn
- Practice taking scenario-based questions about data engineering
- Identify appropriate data engineering technology solutions
- Apply principles of machine learning training and evaluation
- Debug data pipelines and data analysis operations
- Choose among a variety of data storage options
Skills covered in this course
Reviews
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PPradeep Nigam
very good question's and explanation
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RRohan Kurma
ok
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CCory Jaccino
Be sure to review the domains that are shown after you finish these practice test questions. They are very helpful. To be clear, the domains listed inside of Udemy right after you finish the practice tests. I originally neglected to do this. I bought Dan’s practice tests in 2022, and then both failed and passed one of them (with a 70%) before failing the actual exam because I didn’t know what to study. I asked Dan for guidance, he was super helpful, I got his books, took his courses, and reattempted the actual exam again in 2023 and passed. Well, it’s been two years already and guess who needs to attempt a renewal exam in the next month. That’s right. I do. :-) So, here I am reviewing with the man who helped get me started. Some things about data engineering will likely not change for quite a while. There may be new things, but we really need to know the core solid. ETL, the infrastructure, the workflows and what’s involved, and what the options are based on the use case, technical constraints, and business requirements, etc. Thank you, Dan, for your guidance, direction, and support! Cheers to your and everyone’s success! - Cory (currently a 14x-certified Google Cloud Professional)
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MMichael Thompson
I enjoyed the learning process and the Tests. Keep up the good work!!!
