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Google Professional Data Engineer Exam Practice Questions
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Professional-Data-Engineer FAQs
The Google Professional Data Engineer Exam is a certification test designed to validate your ability to design, build, operationalize, secure, and monitor data processing systems on Google Cloud Platform (GCP).
The Google Professional Data Engineer focuses on GCP services and data engineering practices within Google's ecosystem, while the AWS Certified Big Data – Specialty focuses on big data services and solutions on Amazon Web Services.
The Professional Data Engineer Exam focuses on data engineering tasks such as data processing, machine learning, and data pipelines, while the Associate Cloud Engineer Exam covers foundational skills in deploying and managing applications on GCP.
Google does not publish a specific passing score. Instead, the results are based on a scaled scoring system. Candidates should focus on thoroughly understanding the exam objectives.
The certification can enhance your professional credibility, demonstrate your expertise in data engineering on GCP, and make you a more competitive candidate for advanced data engineering roles.
With this certification, you can pursue roles such as Data Engineer, Data Architect, Machine Learning Engineer, and Big Data Engineer.
Salaries vary based on experience and location, but professionals with this certification can expect to earn between $100,000 and $150,000 per year, with potential for higher earnings in senior roles.
Long-term benefits include career advancement opportunities, higher earning potential, recognition as an expert in data engineering, and the ability to work on cutting-edge data projects.
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Google Professional Data Engineer Exam Questions and Answers
Your company uses a proprietary system to send inventory data every 6 hours to a data ingestion service in the cloud. Transmitted data includes a payload of several fields and the timestamp of the transmission. If there are any concerns about a transmission, the system re-transmits the data. How should you deduplicate the data most efficiency?
An external customer provides you with a daily dump of data from their database. The data flows into Google Cloud Storage GCS as comma-separated values (CSV) files. You want to analyze this data in Google BigQuery, but the data could have rows that are formatted incorrectly or corrupted. How should you build this pipeline?
Your company is in a highly regulated industry. One of your requirements is to ensure individual users have access only to the minimum amount of information required to do their jobs. You want to enforce this requirement with Google BigQuery. Which three approaches can you take? (Choose three.)
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After my experience with Dumpspedia, I understand the importance of Professional-Data-Engineer Dumps. Using them I was able to cover most of the exam concepts and even pass the exam.
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After my experience with Dumpspedia, I understand the importance of Professional-Data-Engineer Dumps. Using them I was able to cover most of the exam concepts and even pass the exam.