| Exam Code: | Professional-Data-Engineer | ||
| Exam Name: | Google Cloud Data Engineer Professional | ||
| Certification(s): | Google Cloud Certified | ||
| Total Questions: | 373 Questions Answers | ||
| Latest Updated: | Dec 16,2024 | ||
| Price: (Discounted) | Was: $85 Now: $59 | ||
Professional Data Engineer Exam Topics and Passing Score
The Professional Data Engineer exam covers a wide range of topics related to data engineering, including data collection, storage, processing, analysis, and visualization. To pass the exam, candidates must demonstrate a solid understanding of these topics and be able to apply them to real-world scenarios.
| Topic | Percentage of Passing Score | Information |
|---|---|---|
| Data Collection and Ingestion | 15% | Concepts and techniques for collecting and ingesting data from various sources, such as databases, logs, and sensors. |
| Data Storage and Management | 20% | Concepts and techniques for storing and managing data, including data structures, indexing, and compression. |
| Data Processing and Analysis | 30% | Concepts and techniques for processing and analyzing data, including data cleansing, transformation, and aggregation. |
| Data Visualization and Reporting | 15% | Concepts and techniques for visualizing and reporting data, including charts, graphs, and dashboards. |
| Data Engineering Tools and Platforms | 20% | Common data engineering tools and platforms, such as Hadoop, Spark, and Hive. |
To pass the Professional Data Engineer exam, candidates must achieve a score of 70% or higher. The exam is typically administered online and consists of multiple-choice questions.
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