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Free Professional Data Engineer: Professional Data Engineer on Google Cloud Platform Exam Questions and Answers
Last updated: March 29, 2025
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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
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