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The Google Professional-Data-Engineer exam consists of multiple-choice and multiple-select questions, and candidates are given two hours to complete it. Professional-Data-Engineer exam covers a range of topics, including designing data processing systems, building and maintaining data structures and databases, data analysis, machine learning, and data visualization.

Google Professional-Data-Engineer certification exam is a rigorous and comprehensive exam that requires individuals to have a deep understanding of data engineering technologies and concepts. Professional-Data-Engineer Exam consists of multiple choice and scenario-based questions that assess an individual's ability to design, build, and maintain data processing systems on Google Cloud Platform. Professional-Data-Engineer exam is timed and individuals have a limited amount of time to complete the exam. To pass the exam, individuals must score 70% or higher.

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Google Certified Professional Data Engineer Exam Sample Questions (Q369-Q374):

NEW QUESTION # 369
You want to analyze hundreds of thousands of social media posts daily at the lowest cost and with the fewest steps.
You have the following requirements:
* You will batch-load the posts once per day and run them through the Cloud Natural Language API.
* You will extract topics and sentiment from the posts.
* You must store the raw posts for archiving and reprocessing.
* You will create dashboards to be shared with people both inside and outside your organization.
You need to store both the data extracted from the API to perform analysis as well as the raw social media posts for historical archiving. What should you do?

• A. Feed to social media posts into the API directly from the source, and write the extracted data from the API into BigQuery.
• B. Store the social media posts and the data extracted from the API in BigQuery.
• C. Store the social media posts and the data extracted from the API in Cloud SQL.
• D. Store the raw social media posts in Cloud Storage, and write the data extracted from the API into BigQuery.

Answer: D

Explanation:
Social media posts can images/videos which cannot be stored in bigquery/

NEW QUESTION # 370
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?

• A. cos(X)
• B. X

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