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Google Professional-Data-Engineer exam is designed to test an individual's knowledge and expertise in the field of data engineering. It is a certification offered by Google that recognizes professionals who have demonstrated their ability to design, build, and maintain data processing systems on the Google Cloud Platform. Professional-Data-Engineer exam covers a wide range of topics, including data ingestion and processing, storage and data analysis, machine learning and data visualization.

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Google Professional-Data-Engineer Certification Exam is a highly recognized certification program that validates the knowledge and skills of professionals in the field of data engineering. Google Certified Professional Data Engineer Exam certification is designed to demonstrate the ability of data engineers to design, build, and maintain data processing systems, as well as to troubleshoot and optimize them for performance and cost-effectiveness. Google Certified Professional Data Engineer Exam certification exam covers a range of topics, including data processing systems, data storage and management, data analysis and machine learning, and security and compliance.

Google Certified Professional Data Engineer Exam Sample Questions (Q298-Q303):

NEW QUESTION # 298
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: D


NEW QUESTION # 299
You have several Spark jobs that run on a Cloud Dataproc cluster on a schedule. Some of the jobs run in sequence, and some of the jobs run concurrently. You need to automate this process. What should you do?

Answer: C

Explanation:
Explanation/Reference: https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows


NEW QUESTION # 300
Which role must be assigned to a service account used by the virtual machines in a Dataproc cluster so they can execute jobs?

Answer: C

Explanation:
Service accounts used with Cloud Dataproc must have Dataproc/Dataproc Worker role (or have all the permissions granted by Dataproc Worker role).
Reference: https://cloud.google.com/dataproc/docs/concepts/service-accounts#important_notes


NEW QUESTION # 301
What Dataflow concept determines when a Window's contents should be output based on certain criteria being met?

Answer: C

Explanation:
Triggers control when the elements for a specific key and window are output. As elements arrive, they are put into one or more windows by a Window transform and its associated WindowFn, and then passed to the associated Trigger to determine if the Windows contents should be output.
Reference: https://cloud.google.com/dataflow/java-sdk/JavaDoc/com/google/cloud/dataflow/sdk/ transforms/windowing/Trigger


NEW QUESTION # 302
Cloud Dataproc is a managed Apache Hadoop and Apache _____ service.

Answer: D

Explanation:
Explanation
Cloud Dataproc is a managed Apache Spark and Apache Hadoop service that lets you use open source data tools for batch processing, querying, streaming, and machine learning.
Reference: https://cloud.google.com/dataproc/docs/


NEW QUESTION # 303
......

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