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Data Engineering with Google Cloud Platform - Second Edition

You're reading from  Data Engineering with Google Cloud Platform - Second Edition

Product type Book
Published in Apr 2024
Publisher Packt
ISBN-13 9781835080115
Pages 476 pages
Edition 2nd Edition
Languages
Author (1):
Adi Wijaya Adi Wijaya
Profile icon Adi Wijaya

Table of Contents (19) Chapters

Preface Part 1: Getting Started with Data Engineering with GCP
Chapter 1: Fundamentals of Data Engineering Chapter 2: Big Data Capabilities on GCP Part 2: Build Solutions with GCP Components
Chapter 3: Building a Data Warehouse in BigQuery Chapter 4: Building Workflows for Batch Data Loading Using Cloud Composer Chapter 5: Building a Data Lake Using Dataproc Chapter 6: Processing Streaming Data with Pub/Sub and Dataflow Chapter 7: Visualizing Data to Make Data-Driven Decisions with Looker Studio Chapter 8: Building Machine Learning Solutions on GCP Part 3: Key Strategies for Architecting Top-Notch Solutions
Chapter 9: User and Project Management in GCP Chapter 10: Data Governance in GCP Chapter 11: Cost Strategy in GCP Chapter 12: CI/CD on GCP for Data Engineers Chapter 13: Boosting Your Confidence as a Data Engineer Index Other Books You May Enjoy

Quiz – reviewing all the concepts you’ve learned about

In this section, I will give you examples of what the Google Cloud Data Engineer Certification questions look like. The 12 example questions are grouped into 5 categories.

I will list all the questions first; the key answers will be provided in the next section, after the 12th question.

Questions

Each question has four options, and you need to choose the correct answer.

Designing data processing systems

Choose one answer for each of the questions in this section:

  1. Your company is implementing a data pipeline to load data from the source system to thousands of BigQuery tables. There is a new regulation that there can’t be phone number data in any datasets. As a data engineer, you need to report how many tables in BigQuery contain phone number information. You need to do it as fast as possible with minimum effort. How are you going to find the information?
    1. Develop a Dataflow script in Java...
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