Online Access Free Google.Professional-Cloud-Architect.v2024-01-19.q131 Practice Test (Page 19)

Professional-Cloud-Architect Exam Question 86

One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.

A.Remove Python after running pip.

B.Remove dependencies from requirements.txt.

C.Use a slimmed-down base image like Alpine linux.

D.Use larger machine types for your Google Container Engine node pools.

E.Copy the source after the package dependencies (Python and pip) are installed.

Professional-Cloud-Architect Exam Question 87

For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for hybrid connectivity between EHR's on-premises systems and Google Cloud. You want to follow Google's recommended practices for production-level applications. Considering the EHR Healthcare business and technical requirements, what should you do?

A.Configure two Partner Interconnect connections in one metro (City), and make sure the Interconnect connections are placed in different metro zones.

B.Configure two VPN connections from on-premises to Google Cloud, and make sure the VPN devices on-premises are in separate racks.

C.Configure Direct Peering between EHR Healthcare and Google Cloud, and make sure you are peering at least two Google locations.

D.Configure two Dedicated Interconnect connections in one metro (City) and two connections in another metro, and make sure the Interconnect connections are placed in different metro zones.

Professional-Cloud-Architect Exam Question 88

For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games. Considering the business and technical requirements, what should you do?

A.Use Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.

B.Use Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.

C.Use Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.

D.Use Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.

Professional-Cloud-Architect Exam Question 89

For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you do?

A.Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for analysis.

B.Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.

C.Use the gcloud recommender command to list the idle virtual machine instances.

D.From the Google Console, identify which Compute Engine instances in the managed instance groups are no longer responding to health check probes.

Professional-Cloud-Architect Exam Question 90

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?

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

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

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

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

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

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