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