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Google Professional-Cloud-Architect - Google Certified Professional - Cloud Architect (GCP)

TerramEarth has about 1 petabyte (PB) of vehicle testing data in a private data center. You want to move the data to Cloud Storage for your machine learning team. Currently, a 1-Gbps interconnect link is available for you. The machine learning team wants to start using the data in a month. What should you do?

A.

Request Transfer Appliances from Google Cloud, export the data to appliances, and return the appliances to Google Cloud.

B.

Configure the Storage Transfer service from Google Cloud to send the data from your data center to Cloud Storage

C.

Make sure there are no other users consuming the 1 Gbps link, and use multi-thread transfer to upload the data to Cloud Storage.

D.

Export files to an encrypted USB device, send the device to Google Cloud, and request an import of the data to Cloud Storage

For this question, refer to the Helicopter Racing League (HRL) case study. HRL is looking for a cost-effective

approach for storing their race data such as telemetry. They want to keep all historical records, train models

using only the previous season ' s data, and plan for data growth in terms of volume and information collected.

You need to propose a data solution. Considering HRL business requirements and the goals expressed by

CEO S. Hawke, what should you do?

A.

Use Firestore for its scalable and flexible document-based database. Use collections to aggregate race data

by season and event.

B.

Use Cloud Spanner for its scalability and ability to version schemas with zero downtime. Split race data

using season as a primary key.

C.

Use BigQuery for its scalability and ability to add columns to a schema. Partition race data based on

season.

D.

Use Cloud SQL for its ability to automatically manage storage increases and compatibility with MySQL. Use

separate database instances for each season.

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform’s resilience to changes in mobile network latency. What should you do?

A.

Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.

B.

Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.

C.

Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.

D.

Create an opt-in beta of the game that runs on players ' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.

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?

A.

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

B.

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

C.

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

D.

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

The current Dress4win system architecture has high latency to some customers because it is located in one

data center.

As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute it ' s system

architecture to multiple locations when Google cloud platform.

Which approach should they use?

A.

Use regional managed instance groups and a global load balancer to increase performance because the

regional managed instance group can grow instances in each region separately based on traffic.

B.

Use a global load balancer with a set of virtual machines that forward the requests to a closer group of

virtual machines managed by your operations team.

C.

Use regional managed instance groups and a global load balancer to increase reliability by providing

automatic failover between zones in different regions.

D.

Use a global load balancer with a set of virtual machines that forward the requests to a closer group of

virtual machines as part of a separate managed instance groups.

Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.

What should you do?

A.

Configure an organizational policy which constrains where resources can be deployed.

B.

Configure IAM conditions to limit what resources can be configured.

C.

Configure the quotas for resources in the regions not being used to 0.

D.

Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other

regions.

You need to implement a network ingress for a new game that meets the defined business and technical

requirements. Mountkirk Games wants each regional game instance to be located in multiple Google Cloud

regions. What should you do?

A.

Configure a global load balancer connected to a managed instance group running Compute Engine

instances.

B.

Configure kubemci with a global load balancer and Google Kubernetes Engine.

C.

Configure a global load balancer with Google Kubernetes Engine.

D.

Configure Ingress for Anthos with a global load balancer and Google Kubernetes Engine.

Mountkirk Games wants you to secure the connectivity from the new gaming application platform to Google

Cloud. You want to streamline the process and follow Google-recommended practices. What should you do?

A.

Configure Workload Identity and service accounts to be used by the application platform.

B.

Use Kubernetes Secrets, which are obfuscated by default. Configure these Secrets to be used by the

application platform.

C.

Configure Kubernetes Secrets to store the secret, enable Application-Layer Secrets Encryption, and use

Cloud Key Management Service (Cloud KMS) to manage the encryption keys. Configure these Secrets to

be used by the application platform.

D.

Configure HashiCorp Vault on Compute Engine, and use customer managed encryption keys and Cloud

Key Management Service (Cloud KMS) to manage the encryption keys. Configure these Secrets to be used

by the application platform.

You need to optimize batch file transfers into Cloud Storage for Mountkirk Games’ new Google Cloud solution.

The batch files contain game statistics that need to be staged in Cloud Storage and be processed by an extract

transform load (ETL) tool. What should you do?

A.

Use gsutil to batch move files in sequence.

B.

Use gsutil to batch copy the files in parallel.

C.

Use gsutil to extract the files as the first part of ETL.

D.

Use gsutil to load the files as the last part of ETL.

You are implementing Firestore for Mountkirk Games. Mountkirk Games wants to give a new game

programmatic access to a legacy game ' s Firestore database. Access should be as restricted as possible. What

should you do?

A.

Create a service account (SA) in the legacy game ' s Google Cloud project, add this SA in the new game ' s IAM page, and then give it the Firebase Admin role in both projects

B.

Create a service account (SA) in the legacy game ' s Google Cloud project, add a second SA in the new game ' s IAM page, and then give the Organization Admin role to both SAs

C.

Create a service account (SA) in the legacy game ' s Google Cloud project, give it the Firebase Admin role, and then migrate the new game to the legacy game ' s project.

D.

Create a service account (SA) in the lgacy game ' s Google Cloud project, give the SA the Organization Admin rule and then give it the Firebase Admin role in both projects