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Google Professional-Data-Engineer Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Certified Professional Data Engineer
Exam Number:Professional-Data-Engineer
Real Exam Qty:50-60
Passing Score:Not officially published (estimated ~80%)
Available Languages:English, Japanese
Certificate Validity Period:2 years
Exam Format:Multiple-select, Multiple-choice
Related Certifications:Google Cloud Certified Professional Data Engineer
Exam Duration:120 minutes
Exam Price:$200 USD
Sample Questions:Google Professional-Data-Engineer Sample Questions
Exam Way:Online (remote proctored) or at a testing center (Kryterion)
Pre Condition:No mandatory prerequisites. Recommended: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:https://cloud.google.com/learn/certification/data-engineer

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Google Professional-Data-Engineer exam is designed to test the skills and knowledge of professionals who work with Google Cloud Platform. It is designed for those who have experience in designing, building, and managing data processing systems, and for those who work with machine learning models and data analysis tools. Professional-Data-Engineer Exam is designed to test the ability of professionals to use Google Cloud Platform tools to develop and implement solutions that meet the needs of businesses.

Google Certified Professional Data Engineer Exam Sample Questions (Q282-Q287):

NEW QUESTION # 282
Your infrastructure includes a set of YouTube channels. You have been tasked with creating a process for sending the YouTube channel data to Google Cloud for analysis. You want to design a solution that allows your world-wide marketing teams to perform ANSI SQL and other types of analysis on up-to-date YouTube channels log dat a. How should you set up the log data transfer into Google Cloud?

Answer: D

Explanation:
storage bucket as a final destination.


NEW QUESTION # 283
Your weather app queries a database every 15 minutes to get the current temperature. The frontend is powered by Google App Engine and server millions of users. How should you design the frontend to respond to a database failure?

Answer: C

Explanation:
Explanation
https://cloud.google.com/sql/docs/mysql/manage-connections#backoff


NEW QUESTION # 284
You are developing a new deep learning model that predicts a customer's likelihood to buy on your ecommerce site. After running an evaluation of the model against both the original training data and new test data, you find that your model is overfitting the data. You want to improve the accuracy of the model when predicting new data. What should you do?

Answer: D

Explanation:
Feature selection is the one the ways to resolve overfitting. Which means reducing the features when the size of the training data is small, then the network tends to have greater control over the training data. so increasing the size of data would help.
Reference:
https://docs.aws.amazon.com/machine-learning/latest/dg/model-fit-underfitting-vs-overfitting.html


NEW QUESTION # 285
Your company is using WILDCARD tables to query data across multiple tables with similar names. The SQL statement is currently failing with the following error:
# Syntax error : Expected end of statement but got "-" at [4:11]
SELECT age
FROM
bigquery-public-data.noaa_gsod.gsod
WHERE
age != 99
AND_TABLE_SUFFIX = '1929'
ORDER BY
age DESC
Which table name will make the SQL statement work correctly?

Answer: C


NEW QUESTION # 286
You are building new real-time data warehouse for your company and will use Google BigQuery streaming inserts. There is no guarantee that data will only be sent in once but you do have a unique ID for each row of data and an event timestamp. You want to ensure that duplicates are not included while interactively querying data. Which query type should you use?

Answer: B


NEW QUESTION # 287
......

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