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Google Professional Data Engineer Exam
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Google Professional-Data-Engineer Questions and Answers
MJTelco needs you to create a schema in Google Bigtable that will allow for the historical analysis of the last 2 years of records. Each record that comes in is sent every 15 minutes, and contains a unique identifier of the device and a data record. The most common query is for all the data for a given device for a given day. Which schema should you use?
MJTelco’s Google Cloud Dataflow pipeline is now ready to start receiving data from the 50,000 installations. You want to allow Cloud Dataflow to scale its compute power up as required. Which Cloud Dataflow pipeline configuration setting should you update?
MJTelco is building a custom interface to share data. They have these requirements:
They need to do aggregations over their petabyte-scale datasets.
They need to scan specific time range rows with a very fast response time (milliseconds).
Which combination of Google Cloud Platform products should you recommend?
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The role of a Professional Data Engineer in Google Cloud involves designing, building, and maintaining data processing systems that are scalable, efficient, and reliable. They work with large datasets to extract insights, drive business decisions, and optimize data-driven processes.
A Professional Data Engineer makes data usable and valuable for others by designing data processing pipelines that transform raw data into meaningful insights. They ensure data quality, implement data governance practices, and create intuitive interfaces for accessing and analyzing data.
The key responsibilities of a Professional Data Engineer in data processing include designing and implementing data pipelines, integrating data from various sources, cleaning and transforming data, optimizing data storage and retrieval, and ensuring data security and compliance.
The exam assesses the ability to design data processing systems by testing candidates on their understanding of data processing concepts, their knowledge of Google Cloud Platform (GCP) data processing services, their proficiency in designing scalable and efficient data pipelines, and their ability to optimize data processing workflows for performance and cost efficiency.
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United States Are these Professional Data Engineer practice questions and answers still valid?
TESTED 30 Nov 2025
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