Learn Cloud Computing: Google Cloud Certified Professional Data Engineer
Last updated Jun 2024
Course Overview
The Google Cloud Certified Professional Data Engineer course
is designed to provide comprehensive training for managing and optimizing data
processing systems, building and operationalizing data processing systems, and
implementing machine learning models. The course ensures that participants gain
a deep understanding of designing data processing systems, operationalizing
machine learning, and ensuring solution quality.
Exam Topics
- Designing
Data Processing Systems:
- Data
ingestion, transformation, and storage.
- Ensuring
scalability and reliability.
- Building
and Operationalizing Data Processing Systems:
- Implementing
data pipelines and workflows.
- Automating
data processing tasks.
- Operationalizing
Machine Learning Models:
- Building
and deploying machine learning models.
- Monitoring
model performance and accuracy.
- Ensuring
Solution Quality:
- Implementing
security and compliance measures.
- Optimizing
data processing performance.
Benefits of Taking This Course
- Enhanced Skills: Learn to design, build, and operationalize data processing systems.
- Career Advancement: Increase your job opportunities and earning potential in data engineering.
- In-Depth Knowledge: Gain a comprehensive understanding of Google Cloud data engineering tools and best practices
- Industry Recognition: Obtain a globally recognized certification from Google Cloud.
Included in this course
Perfectly curated Tests designed to help candidate prepare for the Certification Exam.
Topic-wise Content Distribution
Free Tests1
1. Free Test 01
Practice Tests4
1. Practice Test 01
2. Practice Test 02
3. Practice Test 03
4. Practice Test 04
Section Tests4
1. Ingest and process the data
2. Store the data
3. Prepare and use data for analysis
4. Maintain and Automate data workloads
Final Tests1
1. Final Test 01
What our students say about us
Frequently Asked Questions
Q: What is the format of the exam?
A: The exam consists of multiple choice and multiple select questions.
Q: How much time should I dedicate to studying?
A: Typically, a few months of dedicated study and hands-on practice are recommended.
Q: Are there any prerequisites for the exam?
A: It is recommended to have 3+ years of industry experience, including 1+ year with GCP.
Q: What resources are available for preparation?
A: Google Cloud offers official training, hands-on labs, practice exams, and extensive documentation.
Q: What skills will I gain from this course?
A: You will gain skills in data ingestion, transformation, storage, processing, operationalizing machine learning models, and optimizing performance.
