Quiz about Certification Exam, Google, Google Cloud Certified - Professional Cloud Architect exam

Question 1

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?

Accepted Answer

Tests should scale well beyond the prior approaches.

Answer

Unit tests are no longer required, only end-to-end tests.

Answer

Tests should be applied after the release is in the production environment.

Answer

Tests should include directly testing the Google Cloud Platform (GCP) infrastructure.

Question 2

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?

Accepted Answer

Create a scalable environment in GCP for simulating production load.

Answer

Use the existing infrastructure to test the GCP-based backend at scale.

Answer

Build stress tests into each component of your application using resources internal to GCP to simulate load.

Answer

Create a set of static environments in GCP to test different levels of load — for example, high, medium, and low.

Question 3

For this question, refer to the Mountkirk Games case study.  Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many 
small services that they want to be able to update and roll back quickly. Mountkirk Games has the 
following requirements: 
 
• Services are deployed redundantly across multiple regions in the US and Europe. 
• Only frontend services are exposed on the public internet. 
• They can provide a single frontend IP for their fleet of services. 
• Deployment artifacts are immutable. 
 
Which set of products should they use?

Accepted Answer

Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer

Answer

Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine

Answer

Google Cloud Storage, Google App Engine, Google Network Load Balancer

Answer

Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager

Question 4

For this question, refer to the Mountkirk Games case study.  Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out 
a new feature, which suddenly became very popular. A record number of users are trying to use the  
service, but many of them are getting 503 errors and very slow response times. What should they 
investigate first?

Accepted Answer

Verify that the project quota hasn't been exceeded.

Answer

Verify that the database is online.

Answer

Verify that the new feature code did not introduce any performance bugs.

Answer

Verify that the load-testing team is not running their tool against production.

Question 5

For this question, refer to the Mountkirk Games case study  Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated 
application environments. Developers and testers can access each other's environments and 
resources, but they cannot access staging or production resources. The staging environment needs 
access to some services from production. 
What should you do to isolate development environments from staging and production?

Accepted Answer

Create one project for development, a second for staging and a third for production.

Answer

Create a project for development and test and another for staging and production.

Answer

Create a network for development and test and another for staging and production.

Answer

Create one subnetwork for development and another for staging and production.

Question 6

For this question, refer to the Mountkirk Games case study.  Mountkirk Games wants to set up a real-time analytics platform for their new game. The new 
platform must meet their technical requirements. Which combination of Google technologies will 
meet all of their requirements?

Accepted Answer

Cloud Dataflow, Cloud Storage, Cloud Pub/Sub, and BigQuery

Answer

Container Engine, Cloud Pub/Sub, and Cloud SQL

Answer

Cloud SQL, Cloud Storage, Cloud Pub/Sub, and Cloud Dataflow

Answer

Cloud Dataproc, Cloud Pub/Sub, Cloud SQL, and Cloud Dataflow

Answer

Cloud Pub/Sub, Compute Engine, Cloud Storage, and Cloud Dataproc

Question 7

For this question, refer to the TerramEarth case study. $\"Certification$ TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the development team to focus their failure. You want to allow analysts to centrally query the vehicle dat a. Which architecture should you recommend? A) B) Certification Exam Google Google Cloud Certified - Professional Cloud Architect exam Google-Professional-Cloud-Architect 4-1295059572

Certification Exam Google Google Cloud Certified - Professional Cloud Architect exam Google-Professional-Cloud-Architect 4-1295059572

C)

Certification Exam Google Google Cloud Certified - Professional Cloud Architect exam Google-Professional-Cloud-Architect 5-3872669085

D)

Certification Exam Google Google Cloud Certified - Professional Cloud Architect exam Google-Professional-Cloud-Architect 6-3037923557

Accepted Answer

Option A

Answer

Option B

Answer

Option C

Answer

Option D

Question 8

For this question, refer to the TerramEarth case study.   
The TerramEarth development team wants to create an API to meet the company's business 
 
requirements. You want the development team to focus their development effort on business value 
versus creating a custom framework. Which method should they use?

Accepted Answer

Use Google App Engine with Google Cloud Endpoints. Focus on an API for dealers and partners.

Answer

Use Google App Engine with a JAX-RS Jersey Java-based framework. Focus on an API for the public.

Answer

Use Google App Engine with the Swagger (open API Specification) framework. Focus on an API for the public.

Answer

Use Google Container Engine with a Django Python container. Focus on an API for the public.

Answer

Use Google Container Engine with a Tomcat container with the Swagger (Open API Specification) framework. Focus on an API for dealers and partners.

Question 9

For this question, refer to the TerramEarth case study   
Your development team has created a structured API to retrieve vehicle dat 
a. 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?

Accepted Answer

Build or leverage an OAuth-compatible access control system.

Answer

Build SAML 2.0 SSO compatibility into your authentication system.

Answer

Restrict data access based on the source IP address of the partner systems.

Answer

Create secondary credentials for each dealer that can be given to the trusted third party.

Question 10

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?

Accepted Answer

Vehicles write data directly to Google Cloud Pub/Sub.

Answer

Vehicles write data directly to GCS.

Answer

Vehicles stream data directly to Google BigQuery.

Answer

Vehicles continue to write data using the existing system (FTP).

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