Professional Cloud Architect Practice Exam (2020.10.24)

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Google Cloud Certified – Professional Cloud Architect – Practice Exam (Question 61)

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Question 1

A development manager is building a new application He asks you to review his requirements and identify what cloud technologies he can use to meet them.
The application must:

1. Be based on open-source technology for cloud portability.
2. Dynamically scale compute capacity based on demand.
3. Support continuous software delivery.
4. Run multiple segregated copies of the same application stack.
5. Deploy application bundles using dynamic templates.
6. Route network traffic to specific services based on URL.

Which combination of technologies will meet all of his requirements?

• A. Google Container Engine, Jenkins, and Helm
• B. Google Container Engine and Google Cloud Load Balancing
• C. Google Compute Engine and Google Cloud Deployment Manager
• D. Google Compute Engine, Jenkins, and Google Cloud Load Balancing

Correct Answer: A

Helm for managing Kubernetes
Kubernetes can base on the URL to route traffic to different location (path)

Reference contents:
– Setting up HTTP(S) Load Balancing with Ingress

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Question 2

For this question, refer to the Dress4Win case study.
Dress4Win has end-to-end tests covering 100% of their endpoints. They want to ensure that the move to the cloud does not introduce any new bugs.
Which additional testing methods should the developers employ to prevent an outage?

• A. They should run the end-to-end tests in the cloud staging environment to determine if the code is working as intended.
• B. They should add additional unit tests and production scale load tests on their cloud staging environment.
• C. They should enable Google Stackdriver Debugger on the application code to show errors in the code.
• D. They should add canary tests so developers can measure how much of an impact the new release causes to latency.

Correct Answer: B

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Question 3

For this question, refer to the TerramEarth case study.
TerramEarth plans to connect all 20 million vehicles in the field to the cloud.
This increases the volume to 20 million 600 byte records a second for 40 TB an hour. How should you design the data ingestion?

• A. Vehicles write data directly to Google Cloud Storage.
• B. Vehicles write data directly to Google Cloud Pub/Sub.
• C. Vehicles stream data directly to Google BigQuery.
• D. Vehicles continue to write data using the existing system (FTP).

Professional Cloud Architect