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The Google Professional-Cloud-Architect Exam validates your ability to design, develop, and manage robust, secure, scalable, highly available, and cost-effective solutions on Google Cloud Platform (GCP).
The Google Professional-Cloud-Architect exam is ideal for IT professionals, cloud architects, and system administrators who are involved in designing and managing Google Cloud Platform solutions. It is also suitable for those looking to validate their expertise in Google Cloud technologies and advance their careers.
The Google Professional-Cloud-Architect exam covers a wide range of GCP concepts, including:
The Google Professional-Cloud-Architect exam typically consists of 50 multiple-choice questions.
The passing score for the Google Professional-Cloud-Architect exam is 70%.
Here's a breakdown of the key differences between the Google Professional-Cloud-Architect and Professional-Data-Engineer exams:
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For this question, refer to the TerramEarth case study.
To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?
For this question refer to the TerramEarth case study.
Which of TerramEarth's legacy enterprise processes will experience significant change as a result of increased Google Cloud Platform adoption.
For this question, refer to the TerramEarth case study
Your development team has created a structured API to retrieve vehicle data. They want to allow third parties to develop tools for dealerships that use this vehicle event data. You want to support delegated authorization against this data. What should you do?
Your agricultural division is experimenting with fully autonomous vehicles.
You want your architecture to promote strong security during vehicle operation.
Which two architecture should you consider?
Choose 2 answers:
For this question, refer to the TerramEarth case study.
TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?