Google Cloud Professional Data Engineer - GCP - Exams
4 practice exams having scenarios related to Data Engineering aspect of GCP which enable you to master Google Professional Data Engineer Certification Exam
Assess yourself for the Google Professional Data Engineer Certification Exam
Ensure that you are fully prepared for the exam
Appear for these exams only when you feel you are ready to take the exam
Topics covered in the exams -
Storage - BigQuery, BigTable, Spanner, Cloud DataStore, Cloud Storage etc.
Processing - DataProc, DataFlow, Spark, Beam etc.
Analysis - BigQuery, Hive etc.
Visualization - DataStudio
Ingestion - Cloud Pub/Sub, Kafka etc.
Modeling - ML APIs, ML Concepts, AI Platform, Accelerator, Troubleshooting etc.
Misc - Dataprep, Data Catalog, Auto Scaling, Stackdriver, IAM etc
Note:
This course is not dump of the actual exam but it is for assessing your preparation before the real exam.
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Are you ready to take the Google Cloud Professional Data Engineer Exam? Test yourself by answering over 200 questions!
This course is in the form of practice tests and consists of over 200 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.
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.
About the Google Cloud Professional Data Engineer exam:
Length: 2 hours
Registration fee: $200 (plus tax where applicable)
Languages: English, Japanese
Format: Multiple choice and multiple select, taken remotely or in person at a test center.
Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Who this course is for:
everyone who wants to take the Google Cloud Professional Data Engineer exam
everyone who wants to become a Google Cloud Professional Data Engineer
everyone who wants to prepare for an interview with Google Cloud
everyone who wants to work with Google Cloud
Best Of Luck!!!
