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Home/Questions/Cloud/Tools/Describe how to secure sensitive data in cloud storage solutions.

Describe how to secure sensitive data in cloud storage solutions.

Cloud/Toolseasy0.4 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

Architectural layers: (1) At rest—SSE-S3, SSE-KMS, or customer-managed keys; Azure Blob encryption. (2) In transit—TLS 1.2+; VPC endpoints to avoid public internet. (3) Access—IAM least privilege; bucket policies; Block Public Access; Lake Formation/Unity Catalog for...

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Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Part of the ETL Pipeline Design & Orchestration Interview Preparation Hub
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Key Concepts Tested
etl
Expert Answer
79 words

Architectural layers: (1) At rest—SSE-S3, SSE-KMS, or customer-managed keys; Azure Blob encryption. (2) In transit—TLS 1.2+; VPC endpoints to avoid public internet. (3) Access—IAM least privilege; bucket policies; Block Public Access; Lake Formation/Unity Catalog for column-level. (4) Masking—tokenize PII in ETL; views with column-level security. Why layered: Defense in depth; compliance (GDPR, HIPAA). Cost: KMS adds ~$1/10K keys; VPC endpoints reduce data transfer cost. Best practice: Classify data; versioning + MFA delete for critical buckets; CloudTrail; DLP for discovery.

⚡
Pro Tip

Red Flag: Saying 'encryption is enough' without access controls. Pro-Move: 'We use SSE-KMS, IAM policies, and Lake Formation for column-level—PII tables have separate policies; we audit quarterly.'

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