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Google Professional-Data-Engineer certification exam is designed to test the knowledge and skills of candidates in the field of data engineering. Professional-Data-Engineer exam is intended for professionals who are responsible for designing, building, and maintaining data processing systems. Professional-Data-Engineer exam is designed to validate the candidate's ability to use Google Cloud Platform technologies to design and implement data processing systems, to build and maintain data structures and databases, and to analyze and optimize data processing workflows.
To become a Google Certified Professional Data Engineer, candidates need to pass the Professional-Data-Engineer exam. Professional-Data-Engineer exam is designed to test the knowledge and skills of professionals in designing, building, and maintaining data processing systems. Professional-Data-Engineer exam consists of multiple-choice and scenario-based questions that test the candidate's ability to analyze and solve real-world problems related to data engineering.
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Google Certified Professional Data Engineer Exam Sample Questions (Q112-Q117):NEW QUESTION # 112
You are building a report-only data warehouse where the data is streamed into BigQuery via the streaming API Following Google's best practices, you have both a staging and a production table for the data How should you design your data loading to ensure that there is only one master dataset without affecting performance on either the ingestion or reporting pieces?
Answer: C
NEW QUESTION # 113
Your company is performing data preprocessing for a learning algorithm in Google Cloud Dataflow.
Numerous data logs are being are being generated during this step, and the team wants to analyze them.
Due to the dynamic nature of the campaign, the data is growing exponentially every hour.
The data scientists have written the following code to read the data for a new key features in the logs.
BigQueryIO.Read
.named("ReadLogData")
.from("clouddataflow-readonly:samples.log_data")
You want to improve the performance of this data read. What should you do?
Answer: A
NEW QUESTION # 114
You have some data, which is shown in the graphic below. The two dimensions are X and Y, and the
shade of each dot represents what class it is. You want to classify this data accurately using a linear
algorithm. To do this you need to add a synthetic feature. What should the value of that feature be?
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