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| Section | Objectives |
|---|---|
| Topic 1: Data and Artificial Intelligence | - Data-driven decision making - Machine learning and AI capabilities overview - Data analytics fundamentals on Google Cloud |
| Topic 2: Google Cloud Security and Operations | - Security principles in Google Cloud - Identity and access management basics - Monitoring, logging, and operations tools |
| Topic 3: Digital Transformation with Google Cloud | - Business value of cloud adoption - Understanding digital transformation concepts - Google Cloud value proposition |
| Topic 4: Infrastructure and Application Modernization | - Compute, storage, and networking basics - Application modernization approaches - Cloud infrastructure fundamentals |
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NEW QUESTION # 57
Your company has made plans to roll out OpenShift, a Kubernetes platform solution offered by IBM Red Hat, across all its on-premises and public cloud environments. Given that you are the lead architect responsible for your company's GCP deployments, what type of shared responsibility model will this deployment entail for you?
Answer: D
Explanation:
The key to remember here is that for a service provided (GCP in this case) to take responsibility for its PaaS, it must offer the service as a managed service. GCP offers its own Kubernetes platform called GKE. But OpenShift is not a Google-offered PaaS solution. As such, Google will not take responsibility for the back-end operations and design of your OpenShift environments. You will need to manage all the VMs that OpenShift will provision as part of its GCP deployment. So this is an IaaS deployment from a shared responsibility model perspective.
NEW QUESTION # 58
Your organization is developing and deploying an application on Google Cloud. Tracking your Google Cloud spending needs to stay as simple as possible.
What should you do to ensure that workloads in the development environment are fully isolated from production workloads?
Answer: D
Explanation:
Reference: https://www.deps.co/blog/google-cloud-platform-good-bad-ugly/ Project resources are components that are necessary for successful project implementation. They include people, equipment, money, time, knowledge - basically, anything that you may require from the project planning to the project delivery phases.
NEW QUESTION # 59
Your company has been using a shared facility for data storage and will be migrating to Google Cloud. One of the internal applications uses Linux custom images that need to be migrated.
Which Google Cloud product should you use to maintain the custom images?
Answer: B
Explanation:
Reference: https://cloud.google.com/compute/docs/images/create-delete-deprecate-private-images A custom image is a boot disk image that you own and control access to. Use custom images for the following tasks:
Import a virtual disk to Compute Engine from your on-premises environment or from VMs that are running on your local workstation or on another cloud platform. You can manually import boot disk images to Compute Engine, but one disk at a time.
Graphical user interface, text, application, email Description automatically generated
https://cloud.google.com/compute/docs/images
NEW QUESTION # 60
A client is currently running software on their on-premise systems that is bound by a certain type of license.
They are allowed to run the software on virtualized machines. However, they cannot run them on virtualized machines that are shared by two different companies, teams, or projects. What option do they have on Google Cloud?
Answer: D
Explanation:
Sole-tenancy lets you have exclusive access to a sole-tenant node, which is a physical Compute Engine server that is dedicated to hosting only your project's VMs. Use sole-tenant nodes to keep your VMs physically separated from VMs in other projects, or to group your VMs together on the same host hardware.
https://cloud.google.com/compute/docs/nodes/sole-tenant-nodes
NEW QUESTION # 61
What is a defining function of streaming analytics?
Answer: D
Explanation:
Streaming analytics is the real-time processing of data as it is ingested. The defining function of streaming analytics is to process data records continuously, as opposed to batch processing, which handles data in large chunks at intervals. Streaming analytics allows for immediate insights and actions based on live data.
Option B: Processing data records continuously is correct because it describes the fundamental nature of streaming analytics: it analyzes data streams as they come in, enabling real-time analysis, monitoring, and decision-making.
Reference:
Google Cloud Documentation on Dataflow: Real-Time Stream Processing
Google Cloud Platform's Big Data Solutions: Stream Analytics
NEW QUESTION # 62
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