Hyperscale computing relies on scalable server architecture. This is true because hyperscale computing is a type of cloud computing that aims to provide massive scalability, performance, and efficiency for large-scale applications and data processing1. Hyperscale computing requires a scalable server architecture that can support thousands or millions of servers that are interconnected by high-speed networks2. Scalable server architecture enables hyperscale computing to handle increasing workloads, optimize resource utilization, and reduce operational costs3. References: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, Section 4.1: Industry Trends in Data Center Hardware 2: How Nokia Bell Labs’ new serverless computing design will take cloud computing to the next level4 3: Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks1
Question 2
Which of the following are Software as a Service? (Select 2)
Options:
A.
Database-as-a-Service
B.
Infrastructure-as-a-Service
C.
Artificial Intelligence-as-a-Service
D.
Platform -as-a-Service
Answer:
A, D
Explanation:
Explanation:
Software as a Service (SaaS) is a cloud computing offering that provides users with access to a vendor's cloud-based software. Users do not install applications on their local devices. Instead, the applications reside on a remote cloud network accessed through the web or an API. Within this context, Database-as-a-Service (DBaaS) is considered a form of SaaS, where the service provider manages the database's installation, maintenance, backup, and scaling needs on behalf of the customer. Platform-as-a-Service (PaaS) provides a platform allowing customers to develop, run, and manage applications without dealing with the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. PaaS can include various software components, including database management systems, and thus can be considered a subset of SaaS.
Question 3
Multitenancy in cloud computing defines?
Options:
A.
A set of cloud resources isolated from each other.
B.
A set of cloud resources shared by several customers.
C.
A set of cloud resources located in different data centers.
D.
A set of cloud resources assigned to the same network slice.
Answer:
B
Explanation:
Explanation:
Multitenancy in cloud computing defines a set of cloud resources shared by several customers. Multitenancy is a feature of cloud computing that allows multiple customers, or tenants, to use the same cloud infrastructure and services, such as servers, storage, network, and applications, while maintaining their own data and configuration. Multitenancy enables cloud providers to optimize the utilization and allocation of cloud resources, reduce the cost and complexity of cloud operations, and offer scalable and flexible services to different customers. Multitenancy also benefits customers by providing them with on-demand access to cloud resources, pay-per-use pricing models, and enhanced security and isolation. The other options are not correct definitions of multitenancy in cloud computing. A set of cloud resources isolated from each other is a single-tenant model, where each customer has its own dedicated cloud infrastructure and services. A set of cloud resources located in different data centers is a distributed cloud model, where cloud resources are spread across multiple physical locations to provide low latency, high availability, and local compliance. A set of cloud resources assigned to the same network slice is a network slicing model, where a logical network is created over a sharedphysical network to support specific applications and customers with customized performance, quality, and security. References: Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.2: Cloud Characteristics.