📘Cisco DevNet Associate (200-901 DEVASC)
In real IT environments, especially in network automation and API integration, code can quickly become large and complex. If code is not properly organized, it becomes difficult to read, test, fix, and reuse.
To solve this problem, developers organize code into:
- Methods / Functions
- Classes
- Modules
Let us understand each one clearly and in simple language.
1️⃣ Methods / Functions
What Is a Function?
A function (also called a method in some contexts) is a block of reusable code that performs a specific task.
Instead of writing the same code again and again, you write it once inside a function and call it whenever needed.
Simple Structure (Python example)
def get_device_status():
print("Checking device status...")
You can then call it like this:
get_device_status()
Benefits of Using Functions
1. Code Reusability
In IT environments, you often repeat tasks such as:
- Sending API requests
- Authenticating to a controller
- Parsing JSON responses
- Logging output
Instead of rewriting the same code multiple times, you create a function.
Example:
- A function that sends an HTTP GET request to a network controller.
- You reuse it whenever you need data from different endpoints.
This reduces duplication and saves time.
2. Better Readability
Large scripts become hard to understand if everything is written in one block.
Compare this:
❌ Bad practice:
# 300 lines of continuous code
✅ Good practice:
authenticate()
get_devices()
check_status()
generate_report()
Now the code reads like a sequence of steps. Even non-developers can understand what the program is doing.
3. Easier Testing
In DevNet, automation scripts must be tested.
If functionality is inside functions:
- You can test each function independently.
- You can isolate bugs quickly.
Example:
If API authentication fails, you only check the authenticate() function.
4. Easier Debugging
When something fails:
- You know which function caused the issue.
- You don’t have to search through the entire script.
5. Better Maintenance
If the API endpoint changes:
- You modify only the function.
- All calls to that function automatically use the updated logic.
2️⃣ Classes
What Is a Class?
A class is a blueprint used to create objects. It groups:
- Data (variables)
- Behavior (functions/methods)
Together in one structure.
Classes are used in Object-Oriented Programming (OOP).
Why Classes Are Important in DevNet
In real IT environments, we often represent:
- Network devices
- Users
- API clients
- Configurations
- Sessions
Each of these has:
- Properties (IP address, hostname, token)
- Actions (connect, disconnect, configure)
A class helps organize these together.
Example (Network Device Class)
class NetworkDevice:
def __init__(self, ip, username, password):
self.ip = ip
self.username = username
self.password = password
def connect(self):
print("Connecting to device...")
def get_config(self):
print("Getting configuration...")
Now we can create multiple devices:
device1 = NetworkDevice("10.1.1.1", "admin", "pass")
device2 = NetworkDevice("10.1.1.2", "admin", "pass")
Benefits of Using Classes
1. Logical Organization
Classes group related data and functions together.
Instead of:
- Separate variables for IP, username, password
- Separate functions that use them
Everything is organized inside one structure.
2. Scalability
In automation projects:
- You may manage 500+ devices.
- You may interact with multiple APIs.
Classes make it easier to scale your solution without rewriting code.
3. Reusability
You can reuse the class in multiple scripts or projects.
Example:
- A class that handles REST API authentication can be reused in:
- Device inventory scripts
- Monitoring tools
- Configuration automation scripts
4. Security Improvement
Sensitive data (like tokens) can be stored inside objects rather than global variables.
This reduces accidental exposure.
5. Better Abstraction
Users of the class do not need to understand internal implementation.
Example:
device.connect()
The user doesn’t need to know:
- Whether it uses SSH
- Whether it uses REST API
- How authentication works internally
This simplifies usage.
3️⃣ Modules
What Is a Module?
A module is a file that contains:
- Functions
- Classes
- Variables
Modules allow you to split a large program into multiple files.
Example:
main.py
network.py
authentication.py
utils.py
Each file is a module.
Why Modules Are Critical in DevNet
Automation scripts grow very quickly.
Example project:
- API handling
- Logging
- Error handling
- Configuration management
- Reporting
If everything is in one file:
- It becomes unmanageable.
Modules solve this problem.
Benefits of Using Modules
1. Better Code Organization
You can separate code by responsibility:
api_client.py→ handles REST callsdevice.py→ contains device classconfig.py→ configuration settingsutils.py→ helper functions
This follows the separation of concerns principle.
2. Reusability Across Projects
You can import modules into other scripts:
from api_client import authenticate
Now multiple automation projects can reuse the same module.
3. Easier Team Collaboration
In enterprise IT environments:
- One developer works on API integration.
- Another works on logging.
- Another handles reporting.
Modules allow teams to work independently without conflicts.
4. Easier Testing
You can test each module separately.
This is important in DevOps and CI/CD pipelines.
5. Cleaner Main Program
Instead of 1000 lines in one file:
import api
import device
import report
api.authenticate()
device.get_status()
report.generate()
This is clean and professional.
Comparison: Functions vs Classes vs Modules
| Feature | Functions | Classes | Modules |
|---|---|---|---|
| Purpose | Perform a task | Represent an object | Organize code into files |
| Reusability | Yes | Yes | Yes |
| Encapsulation | Limited | Strong | Medium |
| Best for | Small reusable logic | Complex structured systems | Large projects |
How This Applies to DevNet Exam Topics
For 200-901 DEVASC, this topic connects to:
- Python programming fundamentals
- Writing automation scripts
- API integrations
- REST API handling
- Network automation tools
- Software development best practices
You may see exam questions like:
- Why use functions instead of repeating code?
- What is the benefit of object-oriented programming?
- Why divide code into modules?
- What makes code maintainable and scalable?
You must understand:
- Modularity
- Reusability
- Maintainability
- Scalability
- Readability
- Testability
Real IT Example (Network Automation Context)
Imagine an automation system that:
- Authenticates to Cisco DNA Center
- Retrieves device inventory
- Checks device health
- Pushes configurations
- Generates a report
Without structure:
- One long file
- Repeated code
- Hard to debug
With proper organization:
Functions:
authenticate()get_inventory()push_config()
Class:
DNACenterAPI
Modules:
api.pydevices.pyreporting.pymain.py
This is how professional automation projects are built.
Key Exam Points to Remember
✅ Functions:
- Improve readability
- Reduce duplication
- Make debugging easier
- Improve maintainability
✅ Classes:
- Support object-oriented programming
- Group data and behavior
- Improve scalability
- Enable abstraction and encapsulation
✅ Modules:
- Split large programs into files
- Improve organization
- Support teamwork
- Promote code reuse
Final Summary (Very Important for Exam)
Organizing code into functions, classes, and modules:
- Makes code easier to read
- Makes code easier to test
- Makes code easier to debug
- Improves scalability
- Reduces duplication
- Supports team development
- Follows professional software development practices
For the Cisco DevNet Associate (200-901 DEVASC) exam, always remember:
Well-organized code is maintainable, reusable, scalable, and easier to automate in real IT environments.
