How we can Identify Specific Feature from a larger amount of Dataset?
I dont think there is one correct way, but what you can do is

Use PCA if you have many features. This will reduce some number of features based on the amount of variance in each feature. You may use other dimensionality reduction techniques.
You can use models like Lightgbm or random forest and know which feature are important. 3. You may use Lasso Regression for feature selection.
You may use intuition to see if some features are just does not make any sense.

These are some of the methods to understand important features.
You may read this article:
https://towardsdatascience.com/the-5-feature-selection-algorithms-every-data-scientist-need-to-know-3a6b566efd2