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Question 352 - Professional Data Engineer discussion

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You want to encrypt the customer data stored in BigQuery. You need to implement for-user crypto-deletion on data stored in your tables. You want to adopt native features in Google Cloud to avoid custom solutions. What should you do?

A.
Create a customer-managed encryption key (CMEK) in Cloud KMS. Associate the key to the table while creating the table.
Answers
A.
Create a customer-managed encryption key (CMEK) in Cloud KMS. Associate the key to the table while creating the table.
B.
Create a customer-managed encryption key (CMEK) in Cloud KMS. Use the key to encrypt data before storing in BigQuery.
Answers
B.
Create a customer-managed encryption key (CMEK) in Cloud KMS. Use the key to encrypt data before storing in BigQuery.
C.
Implement Authenticated Encryption with Associated Data (AEAD) BigQuery functions while storing your data in BigQuery.
Answers
C.
Implement Authenticated Encryption with Associated Data (AEAD) BigQuery functions while storing your data in BigQuery.
D.
Encrypt your data during ingestion by using a cryptographic library supported by your ETL pipeline.
Answers
D.
Encrypt your data during ingestion by using a cryptographic library supported by your ETL pipeline.
Suggested answer: A

Explanation:

To implement for-user crypto-deletion and ensure that customer data stored in BigQuery is encrypted, using native Google Cloud features, the best approach is to use Customer-Managed Encryption Keys (CMEK) with Cloud Key Management Service (KMS). Here's why:

Customer-Managed Encryption Keys (CMEK):

CMEK allows you to manage your own encryption keys using Cloud KMS. These keys provide additional control over data access and encryption management.

Associating a CMEK with a BigQuery table ensures that data is encrypted with a key you manage.

For-User Crypto-Deletion:

For-user crypto-deletion can be achieved by disabling or destroying the CMEK. Once the key is disabled or destroyed, the data encrypted with that key cannot be decrypted, effectively rendering it unreadable.

Native Integration:

Using CMEK with BigQuery is a native feature, avoiding the need for custom encryption solutions. This simplifies the management and implementation of encryption and decryption processes.

Steps to Implement:

Create a CMEK in Cloud KMS:

Set up a new customer-managed encryption key in Cloud KMS.

Associate the CMEK with BigQuery Tables:

When creating a new table in BigQuery, specify the CMEK to be used for encryption.

This can be done through the BigQuery console, CLI, or API.

BigQuery and CMEK

Cloud KMS Documentation

Encrypting Data in BigQuery

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asked 18/09/2024
Arash Farivarmoheb
42 questions
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