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Juniper JN0-214 Exam Syllabus Topics:

Topic
Details

Topic 1

Network Functions Virtualization: This section of the exam measures the skills of Virtualization Specialists and covers the core principles of NFV. Candidates will be tested on NFV architecture, orchestration, and Virtual Network Functions (VNFs), which are crucial for creating scalable and flexible network infrastructures. Understanding NFV helps optimize network performance and reduce dependency on hardware-based solutions. One skill assessed is the ability to explain NFV’s role in modern network management.

Topic 2

Cloud Orchestration with OpenStack: This section of the exam measures the skills of Cloud Operations Engineers and evaluates expertise in OpenStack-based orchestration. Candidates must understand how to create and manage virtual machines in OpenStack, use HEAT templates for automation, and navigate OpenStack interfaces. The exam also covers OpenStack networking plugins and security groups. One skill assessed is automating cloud deployments using HEAT templates.

Topic 3

Software-Defined Networking: This section of the exam measures the skills of Network Automation Engineers and focuses on SDN concepts, including its architecture, controllers, and solutions. Candidates must understand how SDN separates the control plane from the data plane to improve network agility and automation. The exam also evaluates knowledge of SDN’s role in modern cloud environments. One key skill assessed is identifying SDN components and their functions.

Topic 4

Cloud Fundamentals: This section of the exam measures the skills of Cloud Infrastructure Engineers and covers the fundamental concepts of cloud networking. Candidates must understand different deployment models such as public, private, and hybrid cloud, as well as service models such as SaaS, IaaS, and PaaS. The exam also tests knowledge of cloud-native architectures, automation tools, and infrastructure technologies, including Network Functions Virtualization (NFV) and Software-Defined Networking (SDN). One key skill assessed is identifying appropriate cloud deployment models for different business needs.

Topic 5

Network Virtualization: This section of the exam measures the skills of Cloud Network Architects and evaluates the principles of network virtualization. Candidates must understand different types of virtual networks, as well as underlay and overlay network configurations. The exam also covers encapsulation and tunneling technologies such as MPLS over GRE, VXLAN, and GENEVE. One skill assessed is the ability to differentiate between underlay and overlay networks in cloud environments.

Topic 6

Linux Containers: This section of the exam measures the skills of Containerization Specialists and covers the concepts of Linux containers. Candidates must understand the differences between virtual machines and containers, as well as container components. The exam tests the ability to create and manage containers using Docker. One key skill assessed is deploying and managing containers efficiently.

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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q41-Q46):

NEW QUESTION # 41
Which two statements correctly describe the Kubernetes networking model?

A. Pods are not allowed to communicate if they are in different namespaces.
B. Each pod has its own IP address in a flat, shared networking namespace.
C. Full communication between pods is allowed across nodes without requiring NAT.
D. Pods are allowed to communicate if they are only in the default namespaces.

Answer: B,C

Explanation:
Kubernetes networking is designed to provide seamless communication between pods, regardless of their location in the cluster. Let's analyze each statement:
A . Pods are allowed to communicate if they are only in the default namespaces.
Incorrect: Pods can communicate with each other regardless of the namespace they belong to. Namespaces are used for logical grouping and isolation but do not restrict inter-pod communication.
B . Pods are not allowed to communicate if they are in different namespaces.
Incorrect: Pods in different namespaces can communicate with each other as long as there are no network policies restricting such communication. Namespaces do not inherently block communication.
C . Full communication between pods is allowed across nodes without requiring NAT.
Correct: Kubernetes networking is designed so that pods can communicate directly with each other across nodes without Network Address Translation (NAT). Each pod has a unique IP address, and the underlying network ensures direct communication.
D . Each pod has its own IP address in a flat, shared networking namespace.
Correct: In Kubernetes, each pod is assigned a unique IP address in a flat network space. This allows pods to communicate with each other as if they were on the same network, regardless of the node they are running on.
Why These Statements?
Flat Networking Model: Kubernetes uses a flat networking model where each pod gets its own IP address, simplifying communication and eliminating the need for NAT.
Cross-Node Communication: The design ensures that pods can communicate seamlessly across nodes, enabling scalable and distributed applications.
JNCIA Cloud Reference:
The JNCIA-Cloud certification emphasizes Kubernetes networking concepts, including pod-to-pod communication and the flat networking model. Understanding these principles is essential for designing and managing Kubernetes clusters.
For example, Juniper Contrail provides advanced networking features for Kubernetes, ensuring efficient and secure pod communication across nodes.
Reference:
Kubernetes Documentation: Networking Model
Juniper JNCIA-Cloud Study Guide: Kubernetes Networking

NEW QUESTION # 42
Which two statements are correct about Network Functions Virtualization (NFV)? (Choose two.)

A. The NFV framework is defined by the W3C.
B. The NFV infrastructure (NFVI) is not a component of NFV.
C. The NFV infrastructure (NFVI) is a component of NFV.
D. The NFV framework explains how VNFs fits into the whole solution.

Answer: C,D

Explanation:
Network Functions Virtualization (NFV) is a network architecture concept that uses IT virtualization technologies to virtualize entire classes of network node functions into building blocks that may connect or chain together to create communication services. The NFV framework explains how Virtual Network Functions (VNFs) fit into the whole solution. The NFV Infrastructure (NFVI) is a component of NFV that consists of the infrastructure components --compute, storage, networking-- on a platform to support software.

NEW QUESTION # 43
Which two statements are correct about OpenStack networks? (Choose two.)

A. It is not possible to add host routes in the DHCP settings in an OpenStack network.
B. It is possible to share networks with other projects in an OpenStack network.
C. It is not possible to specify a subnet address in an OpenStack network.
D. It is possible to enable DHCP for a subnet in an OpenStack network.

Answer: B,D

Explanation:
In OpenStack networks, it is possible to share networks with other projects. Also, it is possible to enable DHCP for a subnet in an OpenStack network.

NEW QUESTION # 44
Which command should you use to obtain low-level information about Docker objects?

A. docker container <OBJECT_NAME>
B. docker system <OBJECT_NAME>
C. docker inspect <OBJECT_NAME>
D. docker info <OBJECT_NAME>

Answer: C

Explanation:
Docker provides various commands to manage and interact with Docker objects such as containers, images, networks, and volumes. To obtain low-level information about these objects, the docker inspect command is used. Let's analyze each option:
A . docker info <OBJECT_NAME>
Incorrect: The docker info command provides high-level information about the Docker daemon itself, such as the number of containers, images, and system-wide configurations. It does not provide detailed information about specific Docker objects.
B . docker inspect <OBJECT_NAME>
Correct: The docker inspect command retrieves low-level metadata and configuration details about Docker objects (e.g., containers, images, networks, volumes). This includes information such as IP addresses, mount points, environment variables, and network settings. It outputs the data in JSON format for easy parsing and analysis.
C . docker container <OBJECT_NAME>
Incorrect: The docker container command is a parent command for managing containers (e.g., docker container ls, docker container start). It does not directly provide low-level information about a specific container.
D . docker system <OBJECT_NAME>
Incorrect: The docker system command is used for system-wide operations, such as pruning unused resources (docker system prune) or viewing disk usage (docker system df). It does not provide low-level details about specific Docker objects.
Why docker inspect?
Detailed Metadata: docker inspect is specifically designed to retrieve comprehensive, low-level information about Docker objects.
Versatility: It works with multiple object types, including containers, images, networks, and volumes.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers Docker as part of its containerization curriculum. Understanding how to use Docker commands like docker inspect is essential for managing and troubleshooting containerized applications in cloud environments.
For example, Juniper Contrail integrates with container orchestration platforms like Kubernetes, which rely on Docker for container management. Proficiency with Docker commands ensures effective operation and debugging of containerized workloads.
Reference:
Docker Documentation: docker inspect Command
Juniper JNCIA-Cloud Study Guide: Containerization

NEW QUESTION # 45
Which two features are provided by CN2? (Choose two.)

A. isolated namespaces
B. user-defined virtual networks
C. application firewall
D. role-based access control

Answer: A,B

Explanation:
According to the CN2 datasheet, CN2 supports "multiple isolated namespaces for each tenant, allowing for overlapping IP addresses among tenants" and "user-defined virtual networks that can span across clusters, regions, and clouds". Other features of CN2 include cloud-native networking, NetOps-driven automation, edge and remote compute, enhanced observability, and ultra-fast, high performance.

NEW QUESTION # 46
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