Exam questions: Cloud Digital Leader

Your organization wants to optimize its use of Google Cloud's discounts on virtual machine-based workloads. You plan to use 200 CPUs constantly for the next 3 years, and you forecast that spikes of up to 300 CPUs will occur approximately 30% of the time.

Your organization needs to minimize how much it pays for data traffic from the Google network to the internet.

Your organization wants to migrate your on-premises environment to Google Cloud. The on-premises environment consists of containers and virtual machine instances.

Your company security team manages access control to production systems using an LDAP directory group.

Your organization wants to be sure that is expenditures on cloud services are in line with the budget.

Your organization needs to process large amounts of data from an online application that operates continuously.
You do not want to be required to provision infrastructure or create server clusters.

Your organization needs to ensure that the Google Cloud resources of each of your departments are segregated from one another.
Each department has several environments of its own: development, testing, and production.

Your organization is defining the resource hierarchy for its new application in Google Cloud.
You need separate development and production environments. The production environment will be deployed in Compute Engine in two regions.

Your organization meant to purchase a 3-year Committed Use Discount, but accidentally purchased a 1-year Committed Use Discount instead.

Your organization needs to allow a production job to have access to a BigQuery dataset.
The production job is running on a Compute Engine instance that is part of an instance group.

Your team is publishing research results and needs to make large amounts of data available to other researchers within the professional community and the public at minimum cost.

Your company needs to segment Google Cloud resources used by each team from the others.
The teams' efforts are changing frequently, and you need to reduce operational risk and maintain cost visibility.

Your large and frequently changing organization's user information is stored in an on-premises LDAP database.
The database includes user passwords and group and organization membership.

Your organization recently migrated its compute workloads to Google Cloud. You want these workloads in Google Cloud to privately and securely access your large volume of on-premises data, and you also want to minimize latency.

Your organization consists of many teams. Each team has many Google Cloud projects. Your organization wants to simplify the management of identity and access policies for these projects.

An organization needs to categorize text-based customer reviews on their website using a pre-trained machine learning model.

An organization is planning its cloud expenditure.

An organization is searching for an open-source machine learning platform to build and deploy their own custom machine learning applications using TPUs.

An organization relies on online seasonal sales for the majority of their annual revenue.

An organization is using machine learning to make predictions. One of their datasets mistakenly includes mislabeled data.

A global organization is developing an application to manage payments and online bank accounts in multiple regions.
Each transaction must be handled consistently in their database, and they anticipate almost unlimited growth in the amount of data stored.

An organization has servers running mission-critical workloads on-premises around the world.
They want to modernize their infrastructure with a multi-cloud architecture.

An organization needs to run frequent updates for their business app.

An organization wants to use Apigee to manage all their application programming interfaces (APIs).

An e-commerce organization is reviewing their cloud data storage.

A hotel wants to modernize their legacy systems so that customers can make reservations through a mobile app.

An organization wants to digitize and share large volumes of historical text and images.

An organization wants to develop an application that can be personalized to user preferences throughout the year.

Which technology allows organizations to run multiple computer operating systems on a single piece of physical hardware?

An organization is making a strategic change to customer support in response to feedback. They plan to extend their helpline availability hours.

An organization is migrating their business applications from on-premises to the cloud.

A retail company stores their product inventory in a legacy system. Often, customers find products on the company's website and want to purchase them in-store.
However, when they arrive, they discover that the products are out of stock.

An organization is training a machine learning model to predict extreme weather events in their country.

An organization needs to search an application's source code to identify a potential issue.
The application is distributed across multiple containers.

An organization's web developers and operations personnel use different systems.

An organization wants to migrate legacy applications currently hosted in their data center to the cloud.
The current architecture dictates that each application needs its own operating system (OS) instead of sharing an OS.

An organization operates their entire IT infrastructure from Google Cloud.

An organization wants to transform multiple types of structured and unstructured data in the cloud from various sources. The data must be readily accessible for analysis and insights.

An organization wants to use all available data to offer predictive suggestions on their website that improve over time.

After rolling out a new update, an organization found a minor bug in its online video game.

Why do organizations often struggle to scale their on-premises application infrastructure?

An organization wants to use BigQuery data analytics to understand their website performance, but wants to move only some data into the cloud.

A manager wants to review Google Cloud data access among their employees.

An organization recently launched a virtual customer support agent, generating vast amounts of text and speech data.

An organization wants to add a new function to their application.
They want to write the code and let the public cloud provider handle the infrastructure.