Why Choose PRAGYASHAL
We're dedicated to empowering data professionals with unparalleled advantages.
100% Pass Guarantee
We're so confident in our training methodology that we offer a full pass guarantee for the Professional Data Engineer exam.
Masterful Curriculum
Our course content precisely reflects the official Google Cloud exam guide, ensuring comprehensive coverage.
Expert Guidance
Learn from industry veterans and certified professionals with deep practical experience in Google Cloud data.
Realistic Mock Tests
Multiple full-length mock examinations designed to simulate the actual exam format and difficulty.
Exam Voucher Included
Your course fee includes the official Google Cloud exam voucher ($200 value) - streamlined process.
Global Recognition
Earn a prestigious Google Cloud certification that enhances your professional profile worldwide.
What You'll Achieve
Design Data Processing Systems
Design secure, reliable, flexible, and portable data processing architectures.
Ingest & Process Data
Plan, build, and deploy robust data pipelines for batch and streaming data.
Store & Manage Data
Select appropriate storage systems and design data warehouses/lakes.
Prepare Data for Analysis
Prepare, share, explore, and analyze data for visualization and ML models.
Maintain & Automate Workloads
Optimize resources, automate jobs, monitor processes, and mitigate failures.
Who Is This For
Ideal for experienced data professionals ready to design, build, and manage robust data systems on Google Cloud.
Data Engineers
Professionals focusing on building and managing data processing systems.
Data Architects
Architects designing robust and scalable data solutions.
BI Developers
Developers focused on data preparation and analysis for business intelligence.
ML Engineers (Data-Focused)
Those preparing data for ML models and managing data workloads.
Comprehensive Training Program
Our structured course aligns perfectly with the official exam guide.
Designing Data Processing Systems
~22% of exam- Designing for security & compliance (IAM, DLP)
- Designing for reliability & fidelity (ACID, data validation)
- Designing for flexibility & portability (multi-cloud)
- Designing data migrations (planning, validation, governance)
Ingesting and Processing the Data
~25% of exam- Planning data pipelines (sources, sinks, transformations)
- Building pipelines (Dataflow, Dataproc, Pub/Sub, Kafka)
- Batch and streaming data processing
- Deploying & operationalizing pipelines (Cloud Composer, CI/CD)
Storing the Data
~20% of exam- Selecting storage systems (Bigtable, Spanner, Cloud Storage)
- Planning for data warehouses (BigQuery, data modeling)
- Using and managing a data lake (Dataplex, Data Catalog)
- Designing for a data mesh (distributed team usage, federated governance)
Preparing and Using Data for Analysis
~15% of exam- Preparing data for visualization (BigQuery materialized views)
- Sharing data (Analytics Hub, publishing datasets)
- Exploring and analyzing data (feature engineering, data discovery)
- Troubleshooting poor performing queries
Maintaining and Automating Data Workloads
~18% of exam- Optimizing resources (cost minimization, resource availability)
- Designing automation & repeatability (Cloud Composer DAGs)
- Organizing workloads based on business requirements
- Monitoring & troubleshooting processes (Cloud Monitoring, Logging)
- Maintaining awareness of failures & mitigating impact (fault tolerance, replication)
What's Included
Live Sessions
Expert-led interactive training with real-time Q&A
Study Materials
Comprehensive notes, presentations & resources
Exam Voucher
Official Google Cloud exam voucher included
Mock Tests
Multiple full-length realistic practice exams
Doubt Clearing
Dedicated sessions for personalized guidance
Use Cases
Practical workshops & real-world discussions
Lifetime Access
Perpetual access to all course materials
Student Support
Dedicated support throughout your journey
Earn Your Official Certification
Google Cloud Exam Details
Professional Data Engineer Certification
Length
Two hours
Format
50-60 multiple choice and multiple select questions
Languages
English, Japanese
Delivery Method
Online-proctored or onsite-proctored
Validity
Two years
Recommended Experience
3+ years industry, 1+ year Google Cloud
Unless explicitly stated in the detailed exam descriptions, all Google Cloud certifications are valid for two years from the date of certification. Recertification is accomplished by retaking the exam during the recertification eligibility time period and achieving a passing score. You may attempt recertification starting 60 days prior to your certification expiration date.
