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For this question, refer to the Mountkirk Games case study. 
Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP). You want to create a thorough testing process for new versions of the backend before they are released to the public. You want the testing environment to scale in an economical way. How should you design the process? 
A. Create a scalable environment in GCP for simulating production load. 
B. Use the existing infrastructure to test the GCP-based backend at scale. 
C. Build stress tests into each component of your application using resources internal to GCP to simulate load. 
D. Create a set of static environments in GCP to test different levels of load — for example, high, medium, and low. 
Answer: A

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? 
A. Build or leverage an OAuth-compatible access control system. 
B. Build SAML 2.0 SSO compatibility into your authentication system. 
C. Restrict data access based on the source IP address of the partner systems. 
D. Create secondary credentials for each dealer that can be given to the trusted third party. 
Answer: A

For this question, refer to the Mountkirk Games case study. 
Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms? 
A. Tests should scale well beyond the prior approaches. 
B. Unit tests are no longer required, only end-to-end tests. 
C. Tests should be applied after the release is in the production environment. 
D. Tests should include directly testing the Google Cloud Platform (GCP) infrastructure. 
Answer: A

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. 
A. Opex/capex allocation, LAN changes, capacity planning 
B. Capacity planning, TCO calculations, opex/capex allocation 
C. Capacity planning, utilization measurement, data center expansion 
D. Data Center expansion, TCO calculations, utilization measurement 
Answer: B

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 GCS. 
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). 
Answer: C

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