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Free Professional Cloud Developer: Professional Cloud Developer Exam Questions and Answers
Last updated: April 1, 2025
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133-Professional Cloud Developer: Professional Cloud Developer
#Question
69. If a developer needs to clean and preprocess data continuously before analysis, which GCP service should they implement?
A.
BigQuery
B.
Pub/Sub
C.
Cloud Dataflow
D.
Cloud Functions
Correct Answer:
C
Cloud Dataflow is suitable for continuous data cleaning and preprocessing, automating data engineering tasks before analysis.
#Question
68. A startup is building an IoT application that requires low-latency message delivery. Which service is ideal?
A.
BigQuery
B.
Cloud Firestore
C.
Cloud Functions
D.
Pub/Sub
Correct Answer:
D
Cloud Pub/Sub is specifically designed for low-latency message delivery, making it ideal for IoT applications that need timely updates.
#Question
67. When changing production configurations dynamically, which GCP service should a developer use?
A.
Cloud Storage
B.
Cloud Run
C.
Config Connector
D.
Cloud Functions
Correct Answer:
C
Config Connector allows developers to manage Google Cloud resources declaratively and make dynamic configuration changes in production.
#Question
66. A developer needs to maintain application state across several instances of their application. Which approach is most effective?
A.
Stateless principles
B.
File storage
C.
Database storage
D.
Heavy computations
Correct Answer:
C
Using database storage is effective for maintaining application state, allowing all instances to access consistent data as needed.
#Question
65. For a real-time sentiment analysis application, which GCP service would support this functionality?
A.
Cloud Functions
B.
BigQuery ML
C.
Cloud Firestore
D.
Cloud Natural Language API
Correct Answer:
D
The Cloud Natural Language API provides tools for analyzing texts in real-time, making it suitable for sentiment analysis applications.
#Question
64. When deploying machine learning models, what is an essential step to ensure reliability and accuracy?
A.
Avoiding version control
B.
Initial testing only
C.
Continuous retraining
D.
Hardcoding model parameters
Correct Answer:
C
Continuous retraining of machine learning models helps maintain their accuracy and reliability over time, adjusting to new data and patterns.
#Question
63. A company wants to analyze data logs from multiple services in a unified interface. Which GCP tool should they consider?
A.
Cloud Functions
B.
Data Studio
C.
Cloud Logging
D.
BigQuery
Correct Answer:
B
Google Data Studio provides integrations with multiple data sources, enabling users to create analyses and consolidated reports across various services.
133-Professional Cloud Developer: Professional Cloud Developer
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