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NEW QUESTION 49
An organization wants to move from a tactical cloud adoption approach to a transformational approach.
How should they adapt the way they lead the organization?

A. Increase top-down visibility and foster a culture of blamelessnessB. Invest in on-premises infrastructure to redesign relationships between IT and employeesC. Drive cloud adoption with an individual contributor focusD. Shift from an operational expenditure model to capital expenditure

Answer: A

 

NEW QUESTION 50
A customer has new applications to build that has to handle both batch data and streaming dat a. Which product should they choose?

A. Data FusionB. DataprocC. DataflowD. Dataprep

Answer: C

Explanation:
Dataflow is the managed version of Apache Beam. Beam = Batch + Stream. Unified stream and batch data processing that's serverless, fast, and cost-effective.

Reference link- https://cloud.google.com/dataflow

 

NEW QUESTION 51
How do Migrate for Compute Engine and Migrate for Anthos differ?

A. Unlike Migrate for Anthos, Migrate for Compute Engine assumes that the migration source is VMware vSphere.B. Migrate for Compute Engine is closed source, and Migrate for Anthos is open source.C. Migrate for Anthos migrates to containers, and Migrate for Compute Engine migrates to virtual machines.D. Migrate for Compute Engine charges for ingress, but Migrate for Anthos does not.

Answer: C

 

NEW QUESTION 52
An organization's developers are growing increasingly frustrated by the limitations of their on-premises infrastructure.
How would they benefit from leveraging cloud technology?

A. They can optimize maintenance for their on-premises infrastructure.B. They can have new tools to innovate and optimize resource usage.C. They can avoid the limitations of serverless computing.D. They can expect 100% service availability.

Answer: B

Explanation:
Google cloud have vast majority of products/tools that you can use to innovate. Additionally, there are products in google that scale automatically based from usage (Ex. App Engine, Cloud Run, etc.)

 

NEW QUESTION 53
Your customer's IT team is in the process of modernizing their customer-facing applications. They've witnessed others getting good results from employing microservices, and they're keen to adopt it themselves. The first application that they are modernizing has about 5 different sub-parts, which they have identified will be the services. They also identify that each of them has different scale requirements - some services like user login are less frequently used while others like transac-tions are heavily used. What technical strategy would you recommend for them?

A. Retain the original application as a backup and also for separately scaling the ser-vices, create new application binaries.B. Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.C. Retain the original application in Compute Engine and scale it as needed using Unmanaged Instance Groups.D. Containerize the services and orchestrate them with Google Kubernetes Engine.

Answer: D

Explanation:
Containers and Kubernetes are ideal for the kind of requirement mentioned here - separate microservices that need to scale independently.
Google Kubernetes Engine (GKE) provides a managed environment for deploying, managing, and scaling your containerized applications using Google infrastructure. The GKE environment consists of multiple machines (specifically, Compute Engine instances) grouped together to form a cluster.
Reference link- https://cloud.google.com/kubernetes-engine/docs/concepts/kubernetes-engine-overview

 

NEW QUESTION 54
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