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Still confused which type of policy to use in sdwan below are the golden rule and also advise where to focus during interview..

How to decide in interview*
1. *Need consistency across all sites?* → Centralized Data/Control Policy
2. *Need one site to be different?* → Localized Data Policy
3. *Changing routing/advertisement?* → Control Policy
4. *Changing how packets are treated?* → Data Policy

*Pro tip for jobs:* 90% of interview questions are on Data Policy. Because that's what fixes real user complaints: "Teams is lagging".

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* Announcement: Cisco SD-WAN Architecture Training Program | By INTERVIEW-NETWORK*

Dear Network Professionals,

As enterprises accelerate their transition to software-defined networks, Cisco SD-WAN has emerged as a core technology for modern WAN architecture.

To support engineers preparing for this shift, *INTERVIEW-NETWORK* is launching a structured training program on *Cisco SD-WAN Architecture* at a nominal cost.

*Program Overview*
This program is designed to provide clear conceptual understanding of Cisco SD-WAN architecture and prepare participants for technical interviews and role-based responsibilities.

*Key Focus Areas:*
1. *Architecture & Components*: In-depth coverage of vManage, vSmart, vBond, and vEdge, including control plane, data plane, and orchestration.
2. *Design Principles*: Centralized vs Localized Policy, Data Policy vs Control Policy, routing, QoS, and application-aware routing.
3. *Interview Preparation*: Curated set of technical questions and scenario-based discussions aligned with current industry hiring standards for SD-WAN roles.

*Who Should Enroll*
Network Engineers, CCNA/CCNP professionals, and IT professionals seeking to build expertise in Cisco SD-WAN and transition into SD-WAN, SASE, and cloud networking roles.

*Program Details*
Delivered through the *INTERVIEW-NETWORK* channel with structured modules, conceptual clarity, and interview-focused guidance.

Our objective is to make complex, fast-evolving technology accessible and help you position yourself confidently for opportunities in 2026.

👉 *Enroll Now via INTERVIEW-NETWORK Channel*

We are updating the playlist everyweek so you don't miss the current trend...

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As an experienced Network engineer do you know what and how AI is replacing job ? Do we need to learn AI to replace networking ? Or we need to learn AI in networking to strengthen current requirement.

Do you know the biggest risk and focus area in today's date while preparing for interview ?

I would say this:

> The biggest risk today is not AI replacing network engineers. The biggest risk is network engineers who don't learn AI, automation, cloud, and security.



The networking industry is changing faster than ever. Companies no longer want engineers who only configure routers and switches. They want engineers who can design, automate, secure, and troubleshoot hybrid environments.

What companies are hiring for in 2026

1. Network Automation (Highest Priority)

This is the number one skill.

Learn:

Python

REST APIs

Ansible

Git/GitHub

Jinja2

JSON/YAML

Terraform (basic)


Companies now expect engineers to automate repetitive tasks instead of configuring hundreds of devices manually.

Interview questions now include:

How do you automate switch configuration?

Have you worked with APIs?

Can you explain Infrastructure as Code?



---

2. AI in Networking

You don't need to become an AI engineer.

Instead learn how to use AI for:

Troubleshooting

Log analysis

Configuration generation

Documentation

RCA creation

Automation scripting


Popular AI tools:

ChatGPT

Claude

Gemini

GitHub Copilot


Companies now expect engineers to work with AI, not compete against it.


---

3. Cloud Networking

Many enterprises are moving to cloud.

Focus on:

Azure Networking

AWS Networking

Google Cloud Networking


Topics:

VPC/VNet

VPN

ExpressRoute

Direct Connect

Load Balancer

DNS

Security Groups

Transit Gateway



---

4. SD-WAN

Still one of the hottest skills.

Learn at least one platform deeply:

Cisco SD-WAN

Versa SD-WAN

Palo Alto Prisma SD-WAN

Fortinet SD-WAN


Understand:

Overlay/Underlay

Control Plane

Data Plane

Routing

Policies

DIA

Service Chaining

Automation



---

5. Network Security

Networking and security are merging.

Focus on:

Zero Trust

SASE

SSE

ZTNA

Firewall

IPS/IDS

NAC

VPN

Segmentation

Micro-segmentation


Popular vendors:

Palo Alto

Fortinet

Cisco

Zscaler

Netskope



---

6. Data Center

Learn:

EVPN VXLAN

Spine-Leaf Architecture

BGP EVPN

Cisco Nexus

Arista

VMware NSX

ACI (basic understanding)



---

7. Cloud Security

Understand:

Identity

IAM

MFA

Security Groups

Firewall Policies

Cloud Logging

Compliance



---

8. Linux

Every network engineer should know:

SSH

grep

awk

sed

systemctl

tcpdump

curl

ping

traceroute

ip command



---

9. Containers & Kubernetes

Networking interviews increasingly include:

Docker

Kubernetes networking

CNI

Ingress

Service Mesh (Istio basics)



---

10. Observability & Monitoring

Learn:

Grafana

Prometheus

ELK Stack

Splunk

ThousandEyes

NetFlow

SNMPv3

Streaming Telemetry



---

Skills that are becoming less valuable on their own

Knowing only these is no longer enough:

VLAN

STP

OSPF

EIGRP

Basic BGP

Static Routing

Basic Switching

Manual CLI configuration


These are still important fundamentals, but companies expect you to build on them with automation, cloud, and security.


---

What AI is changing

AI can already:

Generate configurations

Explain protocols

Create automation scripts

Analyze logs

Suggest troubleshooting steps

Summarize packet captures

Draft documentation


AI still struggles with:

Complex outage investigations

Architecture decisions

Customer communication

Cross-team coordination

Large-scale network design

Understanding business requirements


These remain valuable human skills.


---

Skills AI cannot easily replace

Develop:

Network architecture

Design thinking

Troubleshooting under pressure

Customer interaction

Leadership

Mentoring

Project planning

Security decision-making

Automation strategy



---

If I had only 3-6 months to prepare

I would follow this order:

1. Strengthen networking fundamentals (BGP, OSPF, MPLS, VXLAN, EVPN).

2. Learn Python and Ansible.


3. Master one SD-WAN platform.


4. Learn Azure or AWS networking.


5. Learn SASE, ZTNA, and Zero Trust.


6. Learn APIs and automation.


7. Use AI tools daily to improve productivity.


8. Build a GitHub portfolio with automation scripts.


9. Learn Linux.


10. Practice real interview scenarios and explain designs clearly.




---

Future-proof career roadmap (2026–2030)

Skill Area Priority Job Demand

1.AI + Networking
2.Network Automation
3.Cloud Networking
4.Network Security
5.SD-WAN
6.SASE / Zero Trust
7.EVPN VXLAN
8.Kubernetes
9.Linux
10.Traditional Routing & Switching



Final message

The future belongs to AI-assisted network engineers, not AI alone. Engineers who combine deep networking knowledge with automation, cloud, security, and AI tools will remain in high demand and often move into higher-paying roles such as Network Architect, Cloud Network Engineer, Network Automation Engineer, SASE Engineer, or Principal Infrastructure Engineer.

Given your focus on advanced networking topics such as SD-WAN, Cisco Nexus, Aruba, NSX, and interview preparation, adding AI-assisted automation, cloud networking (especially Azure), and modern security concepts to your expertise will make your skills much more resilient over the next several years.

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Send your resume to shefali.shah@bt.com

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