Podcast
Questions and Answers
What is the most effective way to group Google Cloud projects by team to manage identities and access policies?
What is the most effective way to group Google Cloud projects by team to manage identities and access policies?
Which method minimizes latency when accessing a large volume of on-premises data after migrating workloads to Google Cloud?
Which method minimizes latency when accessing a large volume of on-premises data after migrating workloads to Google Cloud?
What is the most cost-effective approach to publish research data to the public?
What is the most cost-effective approach to publish research data to the public?
To ensure secure access to your on-premises data with low latency, what should you implement?
To ensure secure access to your on-premises data with low latency, what should you implement?
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Which option would not effectively group Google Cloud projects for managing access policies?
Which option would not effectively group Google Cloud projects for managing access policies?
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Study Notes
Grouping Google Cloud Projects
- To manage identities and access policies, Google Cloud recommends using folders to group projects for each team instead of using different domains, organization nodes, or labels based on virtual machines.
Securing On-Premises Data Access
- To securely access a large volume of on-premises data while minimizing latency, use the Storage Transfer Service to transfer data securely to Google Cloud.
- This is a more efficient option than creating a VPC between your on-premises data center and Google's resources, peering your on-premises data center to Google's Edge Network, or using Transfer Appliance.
Publishing Research Data
- To make research data publicly available at minimal cost, use a Cloud Storage bucket and enable "Requester Pays".
- This allows the users downloading the data to pay for the access, minimizing the cost for the research team.
Segmenting Google Cloud Resources
- To segment Google Cloud resources, Google recommends using one top-level folder per team to reduce operational risk and maintain cost visibility.
- This approach allows for easier management of resources and facilitates change management.
Migrate for Compute Engine and Migrate for Anthos
- Both Migrate for Compute Engine and Migrate for Anthos are tools for migrating workloads to Google Cloud.
- Migrate for Compute Engine focuses on migrating virtual machines, while Migrate for Anthos migrates applications to containers.
- Migrate for Anthos is not restricted to VMware vSphere environments. Migrate for Compute Engine charges for ingress traffic, but Migrate for Anthos does not.
Provisioning Google Accounts and Groups
- To provision Google accounts and groups for your organization, use Google Cloud Directory Sync.
- This tool syncs information from your on-premises LDAP database to Google Cloud, creating accounts and groups in a secure and automated manner.
Managing Resources by Department
- To ensure resource segregation between departments, create one folder per department and create a project per environment within each folder.
- This allows for efficient resource management, ensuring different environments for each department within their own folder.
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Description
Test your knowledge on effective management strategies for Google Cloud projects, data access, and resource segmentation. This quiz covers best practices for organizing projects, securing data transfer, and publishing research data while minimizing costs. Ideal for those looking to enhance their understanding of Google Cloud functionalities.
