Which of the following are AI hardware solutions? (Select 2)
B, C
Explanation:
Habana and EyeQ are two examples of AI hardware solutions that are designed to accelerate deep
learning and computer vision applications.
Habana is a company that produces AI processors for both
training and inference workloads1
.
EyeQ is a family of system-on-chips (SoCs) developed by
Mobileye for advanced driver-assistance systems (ADAS) and autonomous driving2
. DataLake and
Sparks are not AI hardware solutions.
DataLake is a term that refers to a large-scale data storage
architecture that can store structured, semi-structured, and unstructured data from various
sources3
.
Sparks is a misspelling of Spark, which is an open-source distributed computing framework
for large-scale data processing and machine learning4. Reference: 1: Nokia Bell Labs Distributed
Cloud Networks, Unit 4: AI/ML in Cloud Networks, Section 4.2: AI Hardware 2: Nokia Bell Labs
Distributed Cloud Networks, Unit 4: AI/ML in Cloud Networks, Section 4.2: AI Hardware 3: Nokia Bell
Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.4: Cloud
Storage 4
: Nokia Bell Labs Distributed Cloud Networks, Unit 4: AI/ML in Cloud Networks, Section 4.3:
AI Software
Which of the following are characteristics of traditional monolithic services. (Select 2)
A, C
Explanation:
The characteristics of traditional monolithic services are low scalability and fixed capacity. Monolithic
services are applications that are built as a single unit, where all the components are tightly coupled
and run in the same process. This makes them hard to scale, as they require more resources and
coordination to handle increased demand. Monolithic services also have fixed capacity, as they are
designed for a specific workload and cannot adapt to changing requirements or traffic patterns.
Monolithic services are often slow to deploy, as they require updating the entire application for any
change or improvement. Reference: [Cloud Native applications design], [Microservices and
Containerization]
Does the technology layer function support automated service delivery?
A
Explanation:
The technology layer function supports automated service delivery by providing the necessary tools
and mechanisms to orchestrate, monitor, and optimize the cloud resources and services. The
technology layer function consists of four sub-functions: cloud management, cloud orchestration,
cloud automation, and cloud analytics. These sub-functions work together to enable the efficient and
flexible operation of the cloud ecosystem.
Reference:
Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks | Nokia Distributed Cloud
Networks
, Unit 2: Cloud Technologies and Features, slide 11
Nokia Bell Labs 5G Certification Program - Courses | Nokia
, Distributed Cloud Networks, Unit 2:
Cloud Technologies and Features
It is possible to run a cloud solution in a Single Node.
B
Explanation:
It is not possible to run a cloud solution in a Single Node.
A cloud solution requires a minimum of
three nodes to provide high availability, scalability, and fault tolerance1
.
A Single Node is a
standalone server that does not have any redundancy or load balancing features2
. A Single Node can
be used for testing or development purposes, but not for production or deployment of cloud
applications.
Reference: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 3: Cloud Resource Planning, slide 5 2
:
Nokia Bell Labs Distributed Cloud Networks, Unit 3: Cloud Resource Planning, slide 6
Which of the following are properties related to a public cloud? (Select 2)
A, C,
Explanation:
The properties related to a public cloud are for users, there is no cloud infrastructure
operation and easy scaling.
A public cloud is a cloud service that is offered by a third-party provider
over the public internet, and is available to anyone who wants to use or purchase it1
.
Users of public
cloud do not need to operate or maintain the cloud infrastructure, as it is the responsibility of the
cloud provider2
.
Public cloud also offers easy scaling, as users can quickly and dynamically provision
or release resources according to their needs2
.
Public cloud is suitable for applications that have
unpredictable or variable demand, or that do not require a high level of security or
customization3. Reference: 1
:
Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem,
Section 1.1: Cloud Types 2
:
Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies
and Features, Section 2.1: Cloud Computing 3
:
Nokia and DISH to deploy first 5G standalone core
network in the public cloud with AWS
, Press Release
Which of the following statements are correct regarding the characteristics of microservices? (Select
2)
A, C
Explanation:
Microservices are a design principle for cloud-native applications, where each application is
composed of a set of small, independent, and loosely coupled services that communicate with each
other through well-defined interfaces1
.
Microservices have the following characteristics2
:
Microservices are chained in order to build an application, meaning that they are connected by a
network and exchange messages or data to perform a specific function or task.
Microservices are differentiated by function, meaning that each microservice has a single
responsibility and performs a distinct function within the application.
Microservices are derived from monolithic applications, meaning that they are created by breaking
down a large and complex application into smaller and simpler pieces that can be developed,
deployed, and scaled independently.
Microservices are scalable and resilient, meaning that they can handle variable workloads and
recover from failures without affecting the whole application.
Therefore, the correct statements are A and C, while B and D are incorrect. Reference: 1
:
Nokia Bell
Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Topic: Microservices and
Containerization 2
:
Module by Module - Self Study Note Guide
, DC2.4– Microservices and
Containerization
Select the best option below to complete the following sentence. Multi-tenancy network
connectivity provides dedicated resources through_____
B
Explanation:
Multi-tenancy network connectivity provides dedicated resources through network slicing. Network
slicing is a technique that allows operators to create multiple logical networks over a shared physical
infrastructure. Each network slice can have its own characteristics, such as bandwidth, latency,
security, and quality of service, to meet the specific requirements of different applications and
customers. Network slicing enables operators to offer customized and differentiated services to
various tenants, such as enterprises, industries, and public sector organizations, while optimizing the
utilization of network resources. Network slicing is one of the key features of 5G networks, as it
supports the diverse and dynamic use cases of 5G, such as enhanced mobile broadband, massive
machine-type communications, and ultra-reliable low-latency communications. Reference:
Nokia
Bell Labs 5G Professional Certification - Distributed Cloud Networks
, Unit 4: Operating Your Cloud,
Section 4.2: Network Slicing.
Select the best option below to complete the following sentence.
The E2E Orchestrator for VMs is the same as_____for containers.
B
Explanation:
Containers as a Service (CaaS) is the same as the E2E Orchestrator for VMs for containers. CaaS is a
cloud service model that allows users to deploy and manage containerized applications on a cloud
platform. CaaS provides the necessary infrastructure, orchestration, networking, and security for
running containers. The E2E Orchestrator for VMs is a Nokia solution that provides similar
capabilities for virtual machines (VMs). The E2E Orchestrator for VMs enables the creation,
deployment, and management of VMs on a distributed cloud platform. It also supports network
slicing, security, and automation features.
Reference:
Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks
, Unit 2: Cloud
Technologies and Features, slide 19
Nokia Cloud Platform
, paragraph 1
Nokia Bell Labs End-to-End 5G Certification
, page 4
What is the primary benefit of an Edge Cloud?
A
Explanation:
Low latency is the primary benefit of an Edge Cloud.
Edge Cloud is a distributed cloud architecture
that brings cloud resources closer to the end users and devices, reducing the distance and delay for
data transmission1
.
Low latency is crucial for many 5G use cases that require real-time
responsiveness, such as autonomous driving, remote surgery, smart manufacturing, etc2
.
Low cost,
large bandwidth, and high availability are not the primary benefits of an Edge Cloud, although they
may be achieved depending on the deployment scenario and the service level
agreement. Reference: 1: Nokia Bell Labs Distributed Cloud Networks, Unit 1: Cloud Ecosystem,
Section 1.2: Cloud Types 2
: Nokia Bell Labs Distributed Cloud Networks, Unit 5: New Services
Automation, Section 5.1: Industry 4.0 Use Cases
What are the main parameters of policy-based auto-scaling? (Select 2)
A, B
Explanation:
The main parameters of policy-based auto-scaling are threshold and min/max values.
Threshold is
the value of a metric that triggers the scaling action, such as CPU utilization or memory
usage1
.
Min/max values are the minimum and maximum number of instances or resources that can
be scaled up or down1
. Priority and description are not parameters of policy-based auto-
scaling.
Priority is the order of execution of policies in case of conflicting or overlapping
conditions2
.
Description is the optional text that provides additional information about the
policy2. Reference: 1
:
Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, slide
24 2
:
Nokia CloudBand Application Manager User Guide
, Chapter 9: Scaling Policies, page 151