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AI CERTs AI+ NetworkExamination Sample Questions (Q45-Q50):

NEW QUESTION # 45
(What is a key advantage of using Ansible for network automation?)

A. It limits network management to Linux-based devices only.
B. It utilizes an agentless architecture for managing devices.
C. It mandates pre-installation of agents on managed devices.
D. It relies on Ruby scripts for configuration tasks.

Answer: B

Explanation:
Ansible's key advantage in network automation is itsagentless architecture, which allows devices to be managed without installing additional software on them. AI+ Network automation documentation emphasizes that Ansible uses standard protocols such as SSH and APIs to communicate with network devices, making deployment simple and scalable.
This design significantly reduces operational overhead and security risks associated with maintaining agents across hundreds or thousands of devices. Ansible playbooks, written in YAML, define desired configurations in a clear, human-readable format, improving collaboration and reducing configuration errors.
Unlike Chef, which relies on Ruby-based cookbooks, Ansible does not require specialized programming knowledge. It also supports a wide range of vendors and platforms beyond Linux. AI+ Network materials consistently position Ansible as an efficient, low-complexity automation tool ideal for both enterprise and multi-vendor network environments.

NEW QUESTION # 46
(In GNS3, what command would you use on Router1 to test connectivity with Router2 after configuring a serial link?)

A. ping [Router2_IP_Address]
B. configure terminal
C. show ip interface brief
D. traceroute [Router1_IP_Address]

Answer: A

Explanation:
The ping [Router2_IP_Address] command is the correct method to test connectivity between Router1 and Router2 after configuring a serial link in GNS3. AI+ Network lab guidelines identify ping as the primary Layer 3 verification tool used to confirm successful IP communication between network devices.
After configuring IP addresses, encapsulation, and clocking on a serial interface, ping sends ICMP Echo Request packets to the destination router. Receiving Echo Reply messages confirms that the serial link is operational, routing is correct, and no Layer 1 or Layer 2 issues exist.
Other commands serve different purposes. show ip interface brief displays interface status but does not test packet flow. traceroute is used to analyze multi-hop paths, not direct link validation. configure terminal enters configuration mode and is unrelated to testing connectivity.
AI+ Network hands-on labs consistently instruct learners to verify link-level and network-level connectivity using ping immediately after configuration changes.

NEW QUESTION # 47
(What is the function of the ping command in networking labs?)

A. To view the routing table of a network device.
B. To test connectivity between two devices on a network.
C. To configure IP addresses on router interfaces.
D. To capture real-time network traffic for analysis.

Answer: B

Explanation:
The primary function of the ping command in networking labs is to test connectivity between two devices on a network. AI+ Network lab documentation identifies ping as a fundamental diagnostic tool used to verify Layer 3 communication using ICMP (Internet Control Message Protocol).
Ping sends ICMP Echo Request packets to a destination device and waits for Echo Reply messages. A successful response confirms that IP addressing, routing, and basic network connectivity are functioning correctly. This makes ping the first verification step after configuring interfaces, routes, or network links.
Ping does not configure IP addresses, display routing tables, or capture traffic. Those tasks are handled by commands such as ip address, show ip route, or packet analyzers like Wireshark. AI+ Network training consistently emphasizes ping as an essential troubleshooting command in both physical and virtual lab environments.

NEW QUESTION # 48
(How does DeepSlice enhance 5G network slicing?)

A. By preemptively blocking threats to web applications and APIs.
B. By automating penetration testing for security vulnerabilities.
C. By using deep learning to optimize load management.
D. By focusing on static DNS domain classifications.

Answer: C

Explanation:
DeepSlice enhances 5G network slicing by applying deep learning techniques to optimize load management across network slices. AI+ Network documentation explains that 5G slicing allows multiple virtual networks to operate on the same physical infrastructure, each tailored to specific service requirements such as latency, bandwidth, or reliability.
DeepSlice continuously analyzes traffic demand, user mobility, and application performance metrics. Using deep learning models, it dynamically adjusts resource allocation to ensure each slice receives the appropriate level of service. This improves efficiency, reduces congestion, and maintains Quality of Service (QoS) for diverse use cases such as autonomous vehicles, IoT, and enhanced mobile broadband.
Other options relate to security or DNS analysis and do not address slice optimization. AI+ Network materials identify DeepSlice as a critical innovation for intelligent, adaptive 5G resource management.

NEW QUESTION # 49
(What distinguishes Kubernetes in the orchestration of containerized applications?)

A. It restricts workloads to a single server for improved performance.
B. It requires manual intervention to balance workloads across nodes.
C. It automates deployment and scaling while managing container lifecycles.
D. It uses YAML files for device-level configuration tasks.

Answer: C

Explanation:
Kubernetes is distinguished by its ability to fully automate the deployment, scaling, and lifecycle management of containerized applications. According to AI+ Network advanced networking documentation, Kubernetes operates as acontainer orchestration platformthat abstracts infrastructure complexity and ensures applications remain available, scalable, and resilient.
Kubernetes continuously monitors the state of containers and nodes, automatically restarting failed containers, rescheduling workloads when nodes go down, and scaling applications up or down based on demand. This self-healing and auto-scaling capability eliminates the need for manual workload balancing, which is a major advantage in dynamic, cloud-native environments.
While Kubernetes does use YAML files, these are not for device-level configurations but for declarative application definitions. It also supports distributed workloads across multiple nodes and clusters, rather than restricting applications to a single server. AI+ Network materials emphasize Kubernetes as a foundational technology for microservices, multi-cloud deployments, and AI-driven infrastructure due to its automation- first design.

NEW QUESTION # 50
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