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Nokia Bell Labs Distributed Cloud Networks BL0-220 Exam

Attempt the Nokia Bell Labs 5G Certification practice test and solve real exam-like BL0-220 questions to prepare efficiently and increase your chances of success. Our Nokia BL0-220 practice questions match the actual Nokia Bell Labs Distributed Cloud Networks exam format, helping you enhance confidence and improve performance. With our BL0-220 practice exam software, you can analyze your performance, identify weak areas, and work on them effectively to boost your final Nokia Bell Labs 5G Certification exam score.

Vendor:	Nokia
Exam Name:	Nokia Bell Labs Distributed Cloud Networks
Registration Code:	BL0-220
Related Certification:	Nokia Bell Labs 5G Certification
Exam Audience:

Total Questions

Last Updated

06-07-2026

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Question: 1

What is the sequence of the evolution of Network Functions?

ACloud-Native Network Functions -> Physical Network Functions -> Virtual Network Functions

BVirtual Network Functions -> Physical Network Functions -> Cloud-Native Network Functions

CPhysical Network Functions -> Virtual Network Functions -> Cloud-Native Network Functions

DVirtual Network Functions -> Cloud-Native Network Functions -> Physical Network Functions

Answer: C

Explanation:

Physical Network Functions (PNFs) are the traditional network functions that run on dedicated hardware appliances, such as routers, switches, firewalls, etc1.Virtual Network Functions (VNFs) are the network functions that run on virtual machines (VMs) on top of a common hardware platform, such as servers, storage, and network1.Cloud-Native Network Functions (CNFs) are the network functions that run on containers orchestrated by Kubernetes on a cloud infrastructure1.The evolution of Network Functions reflects the trend of moving from hardware-centric to software-centric and cloud-based solutions, which offer more flexibility, scalability, and efficiency12.Reference:1:Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, slide 182:Nokia Bell Labs 5G Certification Program - Blended Learning, Section 2: Distributed Cloud Networks, slide 11

Question: 2

Which of the following statements best describes cloud native operations?

ACloud native is only operational by AI.

BCloud native relies only on network automation.

CCloud native provides operation adaptability.

DCloud native design limits scalability.

Answer: C

Explanation:

The statement that best describes cloud native operations iscloud native provides operation adaptability.Cloud native operations are based on the principles of agility, resilience, and automation, which enable the cloud to adapt to changing demands and conditions12. Cloud native is not only operational by AI, nor does it rely only on network automation.AI and automation are tools that enhance the cloud native operations, but they are not the only factors that define them12.Cloud native design does not limit scalability, but rather enables it by using microservices, containers, and orchestration12.Reference:1:Nokia Bell Labs Distributed Cloud Networks, Unit 4: Operating Your Cloud, slide 62:Nokia Bell Labs 5G Certification Program - Blended Learning, Section 2: Distributed Cloud Networks, slide 16

Question: 3

Which of the following are benefits of life cycle management?

ALife cycle is short.

BLife cycle management is only applicable to cloud native.

CAll life cycle stages are clearly identified.

Answer: C

Explanation:

All life cycle stages are clearly identified. Comprehensive Explanation and Reference of Correct Answer: Life cycle management is the process of managing the

Nokia Bell Labs 5G Professional Certification - Distributed Cloud Networks, Unit 4: Operating Your Cloud, slide 3

Module by Module - Self Study Note Guide, DC4.1-- Industry Trends in Data Center Hardware, page 16

Question: 4

Which of the following are AI hardware solutions? (Select 2)

ADataLake

BHabana

CEyeQ

DSparks

Answer: 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 Hardware2: Nokia Bell Labs Distributed Cloud Networks, Unit 4: AI/ML in Cloud Networks, Section 4.2: AI Hardware3: Nokia Bell Labs Distributed Cloud Networks, Unit 2: Cloud Technologies and Features, Section 2.4: Cloud Storage4: Nokia Bell Labs Distributed Cloud Networks, Unit 4: AI/ML in Cloud Networks, Section 4.3: AI Software

Question: 5