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Juniper Cloud, Associate (JNCIA-Cloud) Sample Questions (Q64-Q69):
NEW QUESTION # 64
What is the role of overlay tunnels in an overlay software-defined networking (SDN) solution?
- A. The overlay tunnels provide load balancing and scale out for applications.
- B. The overlay tunnels provide optimization of traffic for performance and resilience.
- C. The overlay tunnels abstract the underlay network topology.
- D. The overlay tunnels provide microsegmentation for workloads.
Answer: C
Explanation:
In an overlay software-defined networking (SDN) solution, overlay tunnels play a critical role in abstracting the underlying physical network (underlay) from the virtualized network (overlay). Let's analyze each option:
A . The overlay tunnels provide optimization of traffic for performance and resilience.
Incorrect: While overlay tunnels can contribute to traffic optimization indirectly, their primary role is not performance or resilience. These aspects are typically handled by SDN controllers or other network optimization tools.
B . The overlay tunnels provide load balancing and scale out for applications.
Incorrect: Load balancing and scaling are functions of application-level services or SDN controllers, not the overlay tunnels themselves. Overlay tunnels focus on encapsulating traffic rather than managing application workloads.
C . The overlay tunnels provide microsegmentation for workloads.
Incorrect: Microsegmentation is achieved through policies and security rules applied at the overlay network level, not directly by the tunnels themselves. Overlay tunnels enable the transport of segmented traffic but do not enforce segmentation.
D . The overlay tunnels abstract the underlay network topology.
Correct: Overlay tunnels encapsulate traffic between endpoints (e.g., VMs, containers) and hide the complexity of the underlay network. This abstraction allows the overlay network to operate independently of the physical network topology, enabling flexibility and scalability.
Why This Answer?
Abstraction of Underlay: Overlay tunnels use encapsulation protocols like VXLAN, GRE, or MPLS to create virtualized networks that are decoupled from the physical infrastructure. This abstraction simplifies network management and enables advanced features like multi-tenancy and mobility.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers overlay and underlay networks as part of its SDN curriculum. Understanding the role of overlay tunnels is essential for designing and managing virtualized networks in cloud environments.
For example, Juniper Contrail uses overlay tunnels to provide connectivity between virtual machines (VMs) and containers, abstracting the physical network and enabling seamless communication across distributed environments.
Reference:
Juniper JNCIA-Cloud Study Guide: Overlay Networks
Network Virtualization Documentation
NEW QUESTION # 65
Which OpenStack service displays server details of the compute node?
- A. Neutron
- B. Keystone
- C. Cinder
- D. Nova
Answer: D
Explanation:
OpenStack provides various services to manage cloud infrastructure resources, including compute nodes and virtual machines (VMs). Let's analyze each option:
A . Keystone
Incorrect: Keystone is the OpenStack identity service responsible for authentication and authorization. It does not display server details of compute nodes.
B . Neutron
Incorrect: Neutron is the OpenStack networking service that manages virtual networks, routers, and IP addresses. It is unrelated to displaying server details of compute nodes.
C . Cinder
Incorrect: Cinder is the OpenStack block storage service that provides persistent storage volumes for VMs. It does not display server details of compute nodes.
D . Nova
Correct: Nova is the OpenStack compute service responsible for managing the lifecycle of virtual machines, including provisioning, scheduling, and monitoring. It also provides detailed information about compute nodes and VMs, such as CPU, memory, and disk usage.
Why Nova?
Compute Node Management: Nova manages compute nodes and provides APIs to retrieve server details, including resource utilization and VM status.
Integration with CLI/REST APIs: Commands like openstack server show or nova hypervisor-show can be used to display compute node and VM details.
JNCIA Cloud Reference:
The JNCIA-Cloud certification covers OpenStack services, including Nova, as part of its cloud infrastructure curriculum. Understanding Nova's role in managing compute resources is essential for operating OpenStack environments.
For example, Juniper Contrail integrates with OpenStack Nova to provide advanced networking and security features for compute nodes and VMs.
Reference:
OpenStack Nova Documentation
Juniper JNCIA-Cloud Study Guide: OpenStack Services
NEW QUESTION # 66
Click the Exhibit button.
Referring to the exhibit, which two statements are correct? (Choose two.)
- A. The c using a custom flavor.
- B. The myvSRX instance is part of a default network.
- C. The myvSRX instance is currently running.
- D. The myvSRX instance is using a default image.
Answer: A,C
Explanation:
Based on the image description provided, the instance named 'myvSRX' appears to be using a custom flavor (not default) and is currently in an 'ACTIVE' state, which means it is running.
NEW QUESTION # 67
Which cloud automation tool uses YAML playbooks to install software and tools on servers?
- A. Ansible
- B. Terraform
- C. Heat
- D. Python
Answer: A
Explanation:
According to the Ansible documentation4, Ansible playbooks are "automation blueprints, in YAML format, that Ansible uses to deploy and configure nodes in an inventory". Other cloud automation tools that are mentioned in the question are Terraform, which uses HCL (HashiCorp Configuration Language) or JSON files to provision infrastructure resources; Python, which is a general-purpose programming language that can be used for various automation tasks; and Heat, which is an orchestration service for OpenStack that uses HOT (Heat Orchestration Template) or CFN (AWS CloudFormation) formats to describe stacks of cloud resources.
NEW QUESTION # 68
Which command should you use to obtain low-level information about Docker objects?
- A. docker inspect <OBJECT_NAME>
- B. docker info <OBJECT_NAME>
- C. docker system <OBJECT_NAME>
- D. docker container <OBJECT_NAME>
Answer: A
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 # 69
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