Google Cloud Professional Cloud Security Engineer PCSE — Topic 1 Question 307

Question

Your organization is developing a sophisticated machine learning (ML) model to predict customer behavior for targeted marketing campaigns. The BigQuery dataset used for training includes sensitive personal information. You must design the security controls around the AI/ML pipeline. Data privacy must be maintained throughout the model’s lifecycle and you must ensure that personal data is not used in the training process. Additionally, you must restrict access to the dataset to an authorized subset of people only. What should you do?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: De-identify sensitive data before model training by using Cloud Data Loss Prevention (DLP)APIs. and implement strict Identity and Access Management (IAM) policies to control access to BigQuery. BigQuery is a serverless, petabyte-scale data warehouse for fast SQL analytics with no infrastructure to manage. Cloud IAM grants fine-grained, least-privilege access to Google Cloud resources.

Google Cloud Professional Cloud Security Engineer PCSE — Question 307