Constructing a Python Script for Data Extraction with GMM APIs on Cisco Kinetic Cloud Platform | Cisco Exam 300-915-DEVIOT

API Authentication Implementation

Question

When constructing a Python script for data extraction using GMM APIs on a Cisco Kinetic Cloud platform, how should the API authentication be implemented?

Answers

Explanations

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A. B. C. D.

B.

When constructing a Python script for data extraction using GMM APIs on a Cisco Kinetic Cloud platform, the API authentication should be implemented using API keys. API keys are unique identifiers that are used to authenticate and authorize access to the Kinetic Cloud platform's APIs.

Answer B, "Generate and use the API keys for the required access level from the Kinetic Cloud application," is the correct answer. This is because API keys provide a secure way to authenticate and authorize access to the Kinetic Cloud platform's APIs, and they can be generated and managed from within the Kinetic Cloud application.

To implement API authentication using API keys, follow these steps:

  1. Log in to the Kinetic Cloud application.
  2. Navigate to the "API Keys" section.
  3. Generate a new API key for the required access level (e.g., read-only, read-write, etc.).
  4. Copy the API key and store it securely.
  5. In your Python script, include the API key in the API request headers, like this:
makefile
import requests url = "https://api.kineticcloud.io/v1/data" headers = { "Authorization": "Bearer <API_KEY>", "Content-Type": "application/json" } response = requests.get(url, headers=headers)

In this example, <API_KEY> should be replaced with the actual API key generated from the Kinetic Cloud application.

It's important to note that API keys should be kept secure and not shared with unauthorized parties. Additionally, API keys should be generated for the minimum required access level to reduce the risk of unauthorized access to the Kinetic Cloud platform's APIs.