Google examstopics google Cloud Certified Professional-cloud-architect Reddit Questions by Alyssia q182 vce pdf

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Exam Name:	Google Certified Professional - Cloud Architect (GCP)
Exam Code:	Professional-Cloud-Architect Dumps
Vendor:	Google	Certification:	Google Cloud Certified
Questions:	345 Q&A's	Shared By:	alyssia

Question 44

You team needs to create a Google Kubernetes Engine (GKE) cluster to host a newly built application that requires access to third-party services on the internet. Your company does not allow any Compute Engine instance to have a public IP address on Google Cloud. You need to create a deployment strategy that adheres to these guidelines. What should you do?

Options:

Create a Compute Engine instance, and install a NAT Proxy on the instance. Configure all workloads on GKE to pass through this proxy to access third-party services on the Internet

Configure the GKE cluster as a private cluster, and configure Cloud NAT Gateway for the cluster subnet

Configure the GKE cluster as a route-based cluster. Configure Private Google Access on the Virtual Private Cloud (VPC)

Configure the GKE cluster as a private cluster. Configure Private Google Access on the Virtual Private Cloud (VPC)

Discussion

Question 45

Your company has a Google Cloud project that uses BlgQuery for data warehousing There are some tables that contain personally identifiable information (PI!) Only the compliance team may access the PH. The other information in the tables must be available to the data science team. You want to minimize cost and the time it takes to assign appropriate access to the tables What should you do?

Options:

1 From the dataset where you have the source data, create views of tables that you want to share, excluding Pll

2 Assign an appropriate project-level IAM role to the members of the data science team

3 Assign access controls to the dataset that contains the view

1 From the dataset where you have the source data, create materialized views of tables that you want to share excluding Pll

2 Assign an appropriate project-level IAM role to the members of the data science team 3. Assign access controls to the dataset that contains the view.

1 Create a dataset for the data science team

2 Create views of tables that you want to share excluding Pll

3 Assign an appropriate project-level IAM role to the members of the data science team

4 Assign access controls to the dataset that contains the view

5 Authorize the view to access the source dataset

1. Create a dataset for the data science team.

2. Create materialized views of tables that you want to share, excluding Pll

3. Assign an appropriate project-level IAM role to the members of the data science team

4 Assign access controls to the dataset that contains the view

5 Authorize the view to access the source dataset

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Question 46

You are a cloud architect for a financial services company that is migrating to Google Cloud. The company needs to create a multi-tenant landing zone for its business units and must adhere to strict regulatory compliance. The security team wants to use VPC Service Controls to create a zero-trust perimeter. However, the business wants you to accelerate the migration to quickly start developing new applications. How can you design a deployment and release management process to meet these competing requirements?

Options:

Implement a centralized CI/CD pipeline that uses pre-approved Infrastructure as Code (IaC) templates. To maximize agility, allow business units to clone and modify these templates freely, and use a phased rollout for VPC Service Controls.

Use a single CI/CD pipeline for all business units that deploys directly to a single, shared project. Rely on IAM permissions to isolate workloads within the project. Turn on VPC Service Controls perimeter for the production environment.

Grant each business unit autonomy to create their own CI/CD pipelines and infrastructure, and conduct periodic security audits to ensure compliance with VPC Service Controls. Enforce IAM inheritance from the folder level.

Establish a centralized CI/CD pipeline with automated policy and security validation at each stage. Define the VPC Service Controls perimeter in a " dry run " mode in the development environment to audit and test for violations. Turn on VPC Service Controls perimeter for the production environment.

Discussion

Question 47

Your company is expanding its AI-powered operations nationwide and has chosen accelerator-based compute for the AI workloads. The batch image processing workloads are not time-sensitive and can tolerate interruptions. You need to rapidly deploy cost-effective accelerator nodes for these batch tasks, ensuring data persistence when necessary. What should you do?

Options:

Deploy Cloud Run functions with ephemeral local SSD.

Deploy standard VMs with configured accelerators and attached persistent disks.

Deploy spot VMs with local SSD to reduce time for burst workloads.

Deploy spot VMs with attached persistent disks and implement checkpoint mechanisms.