Cloud Digital LeaderDemo

Apigee is Google Cloud’s API management platform for building, managing, securing, and exposing APIs so that developers can discover and consume them in applications.

Hosting the subsidiaries’ services with the existing services on a public cloud centralizes infrastructure operation and lets the provider manage the underlying infrastructure. Public-cloud services scale with demand and use consumption-based pricing, reducing operational overhead and cost while providing security capabilities and reliable service options.

Cloud Storage is Google Cloud’s scalable managed object-storage service. It stores unstructured data as objects in buckets and is suitable for large media files such as video and audio archives.

A cloud data warehouse supports scalable ingestion and analysis of large volumes of both structured data, such as interaction metadata, and unstructured data, such as customer text and speech content. This enables the organization to derive insights from support-agent data at scale and in real time.

Redundancy provides duplicate critical components so another component can continue operating when one fails, improving reliability and reducing single points of failure.

Coldline storage is designed for data that is accessed infrequently, while Standard storage is intended for frequently accessed data. Cloud Storage storage classes share the same annual durability and a uniform API experience. Google Cloud Storage classes

In infrastructure as a service (IaaS), the customer is responsible for the guest operating system, installed software, and data-access controls. The cloud provider is responsible for security of the underlying cloud infrastructure, including the physical security of its facilities. AWS Shared Responsibility Model

Legacy infrastructure generally requires hardware to be provisioned for expected peak demand. The upfront expense of acquiring and maintaining that capacity can constrain scaling as application usage grows.

An API provides a defined set of rules and instructions that lets computer programs communicate and interact with one another.

Anthos is Google Cloud’s hybrid and multicloud application platform. It provides a consistent platform across deployments and extends Google Cloud services and practices to environments outside Google Cloud, including on-premises and other clouds.

Cloud Debugger supports real-time inspection of a running application's state at code locations without stopping or slowing the application, allowing production troubleshooting without disrupting users.

Out-of-the-box AI/ML APIs provide pre-trained models and ready-made capabilities, allowing customers to integrate AI functions without specialized AI or machine-learning expertise. They still require appropriate input, validation, and access controls; custom training is optional rather than universal.

Single sign-on (SSO) federates Google-domain authentication with an external identity provider such as Active Directory. Active Directory can therefore remain the authoritative source for authentication and account lifecycle; when its user account is terminated, it can no longer authenticate through SSO to access Google services.

Cloud services replace upfront infrastructure purchases, such as servers and data centers, with variable pay-as-you-go service costs. This shifts spending from capital expenditure (CapEx) to operational expenditure (OpEx).

Archive storage class is most cost-effective for infrequently accessed data with annual access patterns. While Archive has the lowest per-GB storage cost, it carries higher retrieval charges; for disaster-recovery testing accessed once yearly, the storage cost dominates, making Archive the most economical choice. Coldline is appropriate for quarterly or more frequent access patterns.

Deploying a replica in a United States region places application resources nearer to United States users, reducing the network-latency component of their requests. Extra zones or regions in Europe improve resilience but do not address the geographic distance to those users. Google Cloud recommends deploying application resources in the region closest to users to optimize network latency.

Cloud consumption commonly shifts technology spending from upfront capital investments to ongoing operating expenses because services are paid for as used. AWS documentation describes AWS as operating on an OpEx, pay-as-you-go model that eliminates large upfront investments.

Compliance Reports Manager provides on-demand access to Google Cloud compliance resources, including ISO/IEC certificates, SOC reports, self-assessments, and related supporting documentation. Google Cloud states that ISO/IEC 27001 certificates can be requested through Compliance Reports Manager.

BigQuery is a fully managed, serverless analytics data warehouse built for large-scale analysis. Its distributed query engine can analyze petabytes of data efficiently without requiring the organization to provision or manage infrastructure.

Google Kubernetes Engine provides Kubernetes-based orchestration for containerized workloads and lets teams configure the platform and workloads, including networking, scaling, hardware, and security settings. This level of control is appropriate for managing multiple containerized applications.

GKE Autopilot is GKE’s fully managed operating mode: Google Cloud manages the cluster infrastructure and nodes, including scaling, security, and configuration, allowing teams to focus on developing and deploying applications rather than administering clusters.

Cloud services use a consumption-based, pay-as-you-go pricing model, so an organization must plan, govern, and adapt its spending to variable cloud usage. The cloud provider manages the underlying infrastructure, including networking.

Out-of-the-box observability provides built-in monitoring of IT infrastructure and applications, enabling operational visibility into their health, performance, and behavior.

Cloud Functions is the serverless, event-driven compute service for deploying single-purpose code that runs in response to events without managing servers or a runtime environment. Google Cloud now brands the service as Cloud Run functions, but the listed Cloud Functions option is the applicable answer.