In a Hadoop data lake, which of the following best explains why centralizing data helps with machine learning projects?

medium📝 Predict Output Q5 of 15

Hadoop - Modern Data Architecture with Hadoop

AIt forces data scientists to use only one data format

BIt allows easy access to diverse data sets for training models

CIt prevents data scientists from accessing raw data

DIt automatically labels data for training

Step-by-Step Solution

Solution:

Step 1: Identify data needs for machine learning
Machine learning requires diverse and large data sets for better model training.
Step 2: See how centralization supports this
Centralized data lakes provide all data types in one place, simplifying access.
Final Answer:
It allows easy access to diverse data sets for training models -> Option B
Quick Check:
Centralization aids ML by providing diverse data [OK]

Quick Trick: Centralized data eases ML training access [OK]

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