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Google Cloud Digital Leader Sample Questions (Q71-Q76):

NEW QUESTION # 71
An organization wants to run their custom application in the cloud in a flexible and scalable way without managing any infrastructure.
Which service model should they use?

A. Platform as a service
B. Software as a service
C. Network as a service
D. Infrastructure as a service

Answer: A

Explanation:
The correct answer is B. Platform as a service. Here's why:
* Context of the Question: The organization wants to run a custom application in the cloud in a flexible and scalable way without managing any infrastructure.
* Google Cloud Product Relevance:
* Platform as a Service (PaaS) provides a platform that allows customers to develop, run, and manage applications without dealing with the complexity of building and maintaining the underlying infrastructure.
* Google Cloud's App Engine is an example of a PaaS offering. It enables organizations to deploy custom applications in a fully managed environment where scaling, load balancing, and infrastructure management are handled automatically.
* Why Not Other Options:
* A. Infrastructure as a service: IaaS requires the organization to manage the underlying infrastructure (like virtual machines, networks, and storage), which is not suitable if the organization does not want to manage any infrastructure.
* C. Network as a service: NaaS is focused on network connectivity and does not provide the capabilities needed to run custom applications.
* D. Software as a service: SaaS provides pre-built applications managed by a provider; it is not suitable for running custom applications.
Google Cloud Digital Leader References:
* For more on PaaS, refer to the Google App Engine documentation.

NEW QUESTION # 72
An organization wants to build autoscaling web applications without having to manage application infrastructure Which Google Cloud product should they use?

A. Anthos
B. AutoML
C. App Engine
D. Apigee

Answer: C

Explanation:
Explanation
Per Google docs, App Engine, allows for "freeing up your developers with zero server management and zero configuration deployments". https://cloud.google.com/appengine

NEW QUESTION # 73
One of your clients is in the retail sector. They have a small team supporting their operations and a small development team taking care of application development. They have heard of the benefits of machine learning, but they do not have the capacity to hire data scientists or the work to retain them. They have a team of analysts who works primarily on BigQuery and knows how to run SQL queries. They want to be able to get into the new age of machine learning and artificial intelligence. What options are available to run on Google Cloud?

A. Integrate the Cloud Vision API and the Cloud Speech API to create a custom mod-el that will suit the retail sector.
B. Use the popular open-source libraries SciPy and NumPy to create machine learn-ing models.
C. Use BigQuery ML to create machine learning models using SQL queries.
D. Use the Unified AI Platform to create a custom TensorFlow model.

Answer: C

Explanation:
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/

NEW QUESTION # 74
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 Unmanaged Instance Groups.
C. Containerize the services and orchestrate them with Google Kubernetes Engine.
D. Retain the original application in Compute Engine and scale it as needed using Managed Instance Groups.

Answer: C

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 # 75
Your organization runs many workloads in different Google Cloud projects, each linked to the same billing account. Each project's workload costs can vary from month to month, but the overall combined cost of all projects is relatively stable. Your organization needs to optimize its cost.
What should your organization do?

A. Create a billing account per project, and link each project to a different billing account
B. Purchase a commitment per project for each project's usual minimum
C. Move all workloads from all different projects into one single consolidated project
D. Turn on committed use discount sharing, and create a commitment for the combined usage

Answer: D

Explanation:
Turn on committed use discount sharing, and create a commitment for the combined usage Sharing your committed use discounts across all your projects reduces the overhead of managing discounts on a per-project basis, and maximizes your savings by pooling all your discounts across your projects' resource usage. If you have multiple projects that share the same Cloud Billing account, you can enable committed use discount sharing so all of your projects within that Cloud Billing account share all of your committed use discount contracts. Your sustained use discounts are also pooled at the same time. That is, sustained use discounts are calculated using the total resources across these projects, rather than just the resources within a single project.
Text Description automatically generated

Reference link- https://cloud.google.com/compute/docs/instances/signing-up-committed-use- discounts#sharing_committed_use_discounts_across_projects

NEW QUESTION # 76
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