[Solved] Why is containerization important when migrating Hadoop workloads to cloud-native platforms? — Ans: It packages applications and dependencies for consistent deployment | Hadoop

Hadoop - Modern Data Architecture with Hadoop

Why is containerization important when migrating Hadoop workloads to cloud-native platforms?

AIt replaces Hadoop with SQL databases

BIt increases the physical hardware requirements

CIt packages applications and dependencies for consistent deployment

DIt eliminates the need for data backup

Step-by-Step Solution

Solution:

Step 1: Understand containerization purpose
Containers bundle apps and dependencies to run reliably anywhere.
Step 2: Eliminate incorrect options
Containerization does not increase hardware needs, replace Hadoop, or remove backups.
Final Answer:
It packages applications and dependencies for consistent deployment -> Option C
Quick Check:
Containerization = consistent app packaging [OK]

Quick Trick: Containers ensure apps run the same everywhere [OK]

Common Mistakes:

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