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Free Professional Data Engineer: Professional Data Engineer on Google Cloud Platform Exam Questions and Answers
Last updated: April 25, 2025
Examtopics Professional Data Engineer: Professional Data Engineer on Google Cloud Platform Prepaway Real Exam Questions and dumps free download
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138-Professional Data Engineer: Professional Data Engineer on Google Cloud Platform
#Question
What should you use if you need to manage metadata associated with datasets stored in Google Cloud?
A.
Cloud SQL
B.
BigQuery
C.
Data Catalog
D.
Google Cloud Storage
Correct Answer:
C
Google Cloud Data Catalog is designed specifically for managing metadata, enabling users to organize and discover datasets effectively within Google Cloud.
#Question
Which of the following provides insights into the performance and usage of Cloud resources?
A.
BigQuery
B.
Google Cloud Storage
C.
Cloud SQL
D.
Stackdriver Monitoring
Correct Answer:
D
Stackdriver Monitoring provides comprehensive monitoring, logging, and diagnostics for Google Cloud resources, helping users understand performance and resource usage.
#Question
How can data engineers enable automated data processing workflows in Google Cloud?
A.
Only through external tools
B.
By manually triggering jobs
C.
By using Cloud Composer
D.
By avoiding orchestration
Correct Answer:
C
Cloud Composer can be used to automate and orchestrate complex data processing workflows, enhancing efficiency and reproducibility in data engineering tasks.
#Question
In the context of SQL queries in BigQuery, what does the term "sharding" refer to?
A.
Filtering out irrelevant data
B.
Storing duplicate records
C.
Grouping related data into one table
D.
Dividing large queries into smaller ones
Correct Answer:
D
Sharding refers to dividing large queries and datasets into smaller parts to optimize performance and manageability in queries within BigQuery.
#Question
How can you leverage Machine Learning APIs in Google Cloud for data preprocessing?
A.
Store data in public buckets
B.
Use pre-trained models for feature extraction
C.
Apply algorithms only after loading
D.
Ignore data trends
Correct Answer:
B
Leveraging pre-trained models from Machine Learning APIs for feature extraction can significantly enhance data preprocessing efficiency and effectiveness.
#Question
Which of the following is a method to enhance the security of APIs in Google Cloud?
A.
Ignoring authentication
B.
Relying on default permissions
C.
Allowing public access
D.
Using service accounts
Correct Answer:
D
Using service accounts enables fine-grained control over API access and enhances security by allowing applications to authenticate with Google Cloud resources securely.
#Question
What approach helps ensure data privacy and compliance in Google Cloud?
A.
Ignore monitoring logs
B.
Store data publicly
C.
Skip data governance protocols
D.
Encrypt data in transit and at rest
Correct Answer:
D
Encrypting data in transit and at rest is critical for maintaining privacy and compliance with data protection regulations in Google Cloud.
138-Professional Data Engineer: Professional Data Engineer on Google Cloud Platform
#Question
What should you use if you need to manage metadata associated with datasets stored in Google Cloud?
A.
Cloud SQL
B.
BigQuery
C.
Data Catalog
D.
Google Cloud Storage
Correct Answer:
C
Google Cloud Data Catalog is designed specifically for managing metadata, enabling users to organize and discover datasets effectively within Google Cloud.
#Question
Which of the following provides insights into the performance and usage of Cloud resources?
A.
BigQuery
B.
Google Cloud Storage
C.
Cloud SQL
D.
Stackdriver Monitoring
Correct Answer:
D
Stackdriver Monitoring provides comprehensive monitoring, logging, and diagnostics for Google Cloud resources, helping users understand performance and resource usage.
#Question
How can data engineers enable automated data processing workflows in Google Cloud?
A.
Only through external tools
B.
By manually triggering jobs
C.
By using Cloud Composer
D.
By avoiding orchestration
Correct Answer:
C
Cloud Composer can be used to automate and orchestrate complex data processing workflows, enhancing efficiency and reproducibility in data engineering tasks.
#Question
In the context of SQL queries in BigQuery, what does the term "sharding" refer to?
A.
Filtering out irrelevant data
B.
Storing duplicate records
C.
Grouping related data into one table
D.
Dividing large queries into smaller ones
Correct Answer:
D
Sharding refers to dividing large queries and datasets into smaller parts to optimize performance and manageability in queries within BigQuery.
#Question
How can you leverage Machine Learning APIs in Google Cloud for data preprocessing?
A.
Store data in public buckets
B.
Use pre-trained models for feature extraction
C.
Apply algorithms only after loading
D.
Ignore data trends
Correct Answer:
B
Leveraging pre-trained models from Machine Learning APIs for feature extraction can significantly enhance data preprocessing efficiency and effectiveness.
#Question
Which of the following is a method to enhance the security of APIs in Google Cloud?
A.
Ignoring authentication
B.
Relying on default permissions
C.
Allowing public access
D.
Using service accounts
Correct Answer:
D
Using service accounts enables fine-grained control over API access and enhances security by allowing applications to authenticate with Google Cloud resources securely.
#Question
What approach helps ensure data privacy and compliance in Google Cloud?
A.
Ignore monitoring logs
B.
Store data publicly
C.
Skip data governance protocols
D.
Encrypt data in transit and at rest
Correct Answer:
D
Encrypting data in transit and at rest is critical for maintaining privacy and compliance with data protection regulations in Google Cloud.
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Q1: What are Google Certification Exams? A: Google Certification Exams validate your expertise in using and managing Google’s suite of tools and platforms, including Google Cloud, Google Ads, and Google Analytics. These certifications demonstrate your proficiency in deploying, configuring, and optimizing Google technologies to drive business success.
Q2: Why should I pursue Google Certification? A: Google Certification enhances your professional credibility, showcasing your skills and knowledge in cloud computing, digital marketing, and data analysis. This can lead to better job opportunities, higher salaries, and career advancement in IT, marketing, and data analytics.
Q3: What are the benefits of Google Certification? A: Benefits include recognition as a certified Google professional, improved job performance, access to exclusive resources, continuing education opportunities, and staying current with the latest Google technologies and best practices.
Q4: Who should take Google Certification Exams? A: IT professionals, digital marketers, data analysts, developers, and anyone involved in using Google technologies to enhance business operations should consider these certifications to validate their expertise and advance their careers.
Q5: What types of Google Certification Exams are available? A: Google offers various certification paths, including:
- Google Cloud Certifications (e.g., Associate Cloud Engineer, Professional Data Engineer, Professional Cloud Architect)
- Google Ads Certifications (e.g., Google Ads Search, Google Ads Display, Google Ads Video)
- Google Analytics Certification
- Google Workspace Certification
Each certification path is tailored to different roles and expertise levels within the Google ecosystem.
Q6: How do I prepare for Google Certification Exams? A: Preparation can include official Google training courses, study guides, practice exams, online tutorials, and hands-on experience with Google products and solutions.
Q7: Where can I take Google Certification Exams? A: Google Certification Exams can be taken online, providing flexibility to fit your schedule and location. Some exams may also be available at authorized testing centers.
Q8: How do Google Certifications impact my career? A: Google Certifications significantly boost your career by demonstrating your expertise to employers, making you a more competitive candidate for advanced roles and promotions in IT, digital marketing, and data analytics.
Q9: Are there any prerequisites for Google Certification Exams? A: Some exams may have prerequisites, such as foundational knowledge or prior certifications. Check the specific requirements for each certification path on the Google Certification website.
Q10: How often do I need to recertify for Google Certifications? A: Google Certifications typically require recertification every two years to ensure that certified professionals stay updated with the latest Google technologies and industry practices.
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