Google Cloud
Google Cloud Professional Data Engineer
Professional-level preparation for Google Cloud Professional Data Engineer. Covers: Designing data processing systems; Ingesting and processing the data; Storing the data; Preparing and using data for analysis; Maintaining and automating data workloads.
300 questions5 domains60 min exam
Exam Blueprint
Designing data processing systems
Designing data processing systems
Ingesting and processing the data
Ingesting and processing the data
Storing the data
Storing the data
Preparing and using data for analysis
Preparing and using data for analysis
Maintaining and automating data workloads
Maintaining and automating data workloads
Question Bank
43
Recall
178
Application
79
Analysis
What You'll Study
Designing data processing systems
- gcp-data-engineer-s1-o1Designing data processing systems — Topic 1.1
- gcp-data-engineer-s1-o2Designing data processing systems — Topic 1.2
- gcp-data-engineer-s1-o3Designing data processing systems — Topic 1.3
Ingesting and processing the data
- gcp-data-engineer-s2-o1Ingesting and processing the data — Topic 2.1
- gcp-data-engineer-s2-o2Ingesting and processing the data — Topic 2.2
- gcp-data-engineer-s2-o3Ingesting and processing the data — Topic 2.3
Storing the data
- gcp-data-engineer-s3-o1Storing the data — Topic 3.1
- gcp-data-engineer-s3-o2Storing the data — Topic 3.2
- gcp-data-engineer-s3-o3Storing the data — Topic 3.3
Preparing and using data for analysis
- gcp-data-engineer-s4-o1Preparing and using data for analysis — Topic 4.1
- gcp-data-engineer-s4-o2Preparing and using data for analysis — Topic 4.2
- gcp-data-engineer-s4-o3Preparing and using data for analysis — Topic 4.3
Maintaining and automating data workloads
- gcp-data-engineer-s5-o1Maintaining and automating data workloads — Topic 5.1
- gcp-data-engineer-s5-o2Maintaining and automating data workloads — Topic 5.2
- gcp-data-engineer-s5-o3Maintaining and automating data workloads — Topic 5.3
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