Free Google Professional-Cloud-Architect Exam Questions
Absolute Free Professional-Cloud-Architect Exam Practice for Comprehensive Preparation
-
Google Professional-Cloud-Architect Exam Questions
-
Provided By: Google
- Exam: Google Certified Professional - Cloud Architect
- Certification: Google Cloud Certified
-
Total Questions: 907
-
Updated On: Jan 13, 2026
-
Rated: 4.9 |
-
Online Users: 1814
-
Question 1
-
The database administration team has asked you to help them improve the performance of a new database server running on Compute Engine. The database is used to import and normalize company performance statistics. It is built with MySQL running on Debian Linux. They have an n1-standard-8 VM with 80 GB of SSD zonal persistent disk which they can't restart until the next maintenance event. What should they change to get better performance from this system as soon as possible and in a cost-effective manner?
Answer: C
-
The database administration team has asked you to help them improve the performance of a new database server running on Compute Engine. The database is used to import and normalize company performance statistics. It is built with MySQL running on Debian Linux. They have an n1-standard-8 VM with 80 GB of SSD zonal persistent disk which they can't restart until the next maintenance event. What should they change to get better performance from this system as soon as possible and in a cost-effective manner?
-
Question 2
-
Your customer is planning to store a large amount of log data in Google Cloud. The customer has the following requirements:
• the data must be easily searchable and filterable
• the data must be stored in a highly durable and scalable storage system
• the data must be accessible by multiple teams within the customer's organization
• the data must be cost-effective
Which Google Cloud service should you recommend to meet these requirements?
Answer: D
-
Your customer is planning to store a large amount of log data in Google Cloud. The customer has the following requirements:
-
Question 3
-
A motor company has launched a smart helmet that detects and reports accidents immediately. Each helmet has the capability to send 10 kb of biometric data in JSON format, collect biometric data from different platforms every second, process that data into a machine learning model, predict and detect if an accident has occurred, and send a notification. The main task for company developers is to architect a platform that matches up with the following requirements: • Real-time analyses of biometric data • The biometric data should be highly flexible and aligned • In the future, the service should be more efficient in accident detection and prepare proper remedies for it Which of the following architectures should you recommend for the above requirements?
Answer: B
-
-
Question 4
-
A company is planning to deploy a new e-commerce application on Google Cloud Platform (GCP) that will handle high volumes of traffic during peak periods. The application will be deployed in multiple regions to provide low latency and high availability to customers globally. Which of the following options would be the most effective approach to handle traffic spikes and ensure that the application can scale dynamically to meet demand?
Answer: C
-
A company is planning to deploy a new e-commerce application on Google Cloud Platform (GCP) that will handle high volumes of traffic during peak periods. The application will be deployed in multiple regions to provide low latency and high availability to customers globally. Which of the following options would be the most effective approach to handle traffic spikes and ensure that the application can scale dynamically to meet demand?
-
Question 5
-
A company wants to build a data processing pipeline that ingests data from various sources, transforms the data, and then stores the processed data in a data warehouse for analysis. The pipeline should be scalable, easy to manage, and able to handle changes in data sources and data processing requirements. How would you design this data processing pipeline using Google Cloud services?
Answer: D
-
A company wants to build a data processing pipeline that ingests data from various sources, transforms the data, and then stores the processed data in a data warehouse for analysis. The pipeline should be scalable, easy to manage, and able to handle changes in data sources and data processing requirements. How would you design this data processing pipeline using Google Cloud services?