Cloud-Digital-Leader Exam Dumps - Google Cloud Certified Questions and Answers

Community Cloud – The cloud infrastructure is planned for selective use by a particular community of consumers from organizations that have mutual interests like security needs, policy, and compliance considerations.

Reference link- https://csrc.nist.gov/glossary/term/community_cloud

BigQuery ML allows you to create ML models using standard SQL queries. Those familiar with BigQuery and ML will be able to create ML models with just a basic understanding of machine learning.

https://cloud.google.com/bigquery-ml/docs/

A classification model classifies the incoming data into one or more discrete classes.

Implied rules Every VPC network has two implied firewall rules. These rules exist, but are not shown in the Cloud Console:

Implied allow egress rule. An egress rule whose action is allow, destination is 0.0.0.0/0, and priority is the lowest possible (65535) lets any instance send traffic to any destination, except for traffic blocked by Google Cloud. A higher priority firewall rule may restrict outbound access. Internet access is allowed if no other firewall rules deny outbound traffic and if the instance has an external IP address or uses a Cloud NAT instance. For more information, see Internet access requirements.

Reference link- https://cloud.google.com/vpc/docs/firewalls

Anthos unifies the management of infrastructure and applications across on-premises, edge, and in multiple public clouds with a Google Cloud-backed control plane for consistent operation at scale.

IaaS - you're given virtualized resources like VMs, Storage, Network. It is your responsibility to manage everything beyond that. This would be similar to what the organization had on-premise.

https://cloud.google.com/blog/products/devops-sre/sre-fundamentals-slis-slas-and-slos

Kubernetes vs. Docker

Often misunderstood as a choice between one or the other, Kubernetes and Docker are different yet complementary technologies for running containerized applications.

Docker lets you put everything you need to run your application into a box that can be stored and opened when and where it is required. Once you start boxing up your applications, you need a way to manage them; and that's what Kubernetes does.

Kubernetes is a Greek word meaning ‘captain’ in English. Like the captain is responsible for the safe journey of the ship in the seas, Kubernetes is responsible for carrying and delivering those boxes safely to locations where they can be used.

- Kubernetes can be used with or without Docker.

- Docker is not an alternative to Kubernetes, so it’s less of a “Kubernetes vs. Docker” question. It’s about using Kubernetes with Docker to containerize your applications and run them at scale.

- The difference between Docker and Kubernetes relates to the role each play in containerizing and running your applications.

- Docker is an open industry standard for packaging and distributing applications in containers.

- Kubernetes uses Docker to deploy, manage, and scale containerized applications.

Cloud Vision API allows you to programmatically identify images, text, etc. in the document. This would be the best option.

https://cloud.google.com/vision

Using sync for new images implies that you will continue to use your onprem and keep synchronizing it forever, Sync just once for the old images, new images go directly to google cloud via pub/sub, and eventually get rid of the onprem.