4.39 (141 reviews)
☑ Students will get an understanding about level of preparation required to clear actual Google Data Engineer Certification Exam.
Two 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
This course is not dump of the actual exam but it is for assessing your preparation before the real exam.
Below are our more courses -
Big Data Crash Course | Learn Hadoop, Spark, NiFi and Kafka
Big Data For Architects | Build Big Data Pipelines and Compare Key Big Data Technologies
Google Data Engineer Certification Practice Exams
Setup Single Node Cloudera Cluster on Google Cloud
Confluent Certified Operator for Apache Kafka Practice Test
Confluent Certified Developer Apache Kafka Practice Tests
You may join our YouTube Channel named "DataCouch" for getting access to interesting videos free of cost.
We have many Google certified instructors who can assist your team in moving forward in Google Cloud implementation in the right way. Please feel free to reach out if there is any virtual instructor led training requirement. Happy to assist.
needs to be updated with newer product and service names. some of the questions are awkwardly worded. some of the questions are too open-ended, picking any number of responses or "none of the above" - overall i'm glad i purchased it and it has helped.
It's an excellent approach to get a feel of the actual exam. Nicely implemented. I'm very much impressed.
The explanations are short, not well explained and some of the answers can be misleading or incorrect. There were also some incorrect answers for example one about "preemptible and non-preemptible VMs" were it was indicating that the right answer was to use a combination of both types, despite de GCP documentation states that for all secondary workers in your cluster must be of the same type, either preemptible or non-preemptible, but not both https://cloud.google.com/dataproc/docs/concepts/compute/secondary-vms. Not good for preparing for the exam.
Kudos to the instructor. Unique questions that I have not seen elsewhere. Good explanation of the correct answers and links to supporting documentation.
This is pathetic!! not only are the questions silly and pointless but the answers given are wrong too!! cant believe udemy has such poor stuff to host!! absoluteley pathetic and this is just highway robbery, will get my money back filing a dispute!!
This was a very informative course with a good insight on some use cases implementations. These practice tests clarified a lot about data engineering concepts and helped me to prepare for the exam.
Very well laid out course practical and must have if you are preparing for Google Data Engineer Certification. This is really amazing course , I really loved this. Great work by author- Bhavuk. Thank you!!