Amazon Exam Amazon-DEA-C01 Topic 4 Question 6 Discussion

Actual exam question for Amazon's Amazon-DEA-C01 exam

Question #: 6
Topic #: 4

A company saves customer data to an Amazon S3 bucket. The company uses server-side encryption with AWS KMS keys (SSE-KMS) to encrypt the bucket. The dataset includes personally identifiable information (PII) such as social security numbers and account details.

Data that is tagged as PII must be masked before the company uses customer data for analysis. Some users must have secure access to the PII data during the preprocessing phase. The company needs a low-maintenance solution to mask and secure the PII data throughout the entire engineering pipeline.

Which combination of solutions will meet these requirements? (Select TWO.)

AUse AWS Glue DataBrew to perform extract, transform, and load (ETL) tasks that mask the PII data before analysis.

BUse Amazon GuardDuty to monitor access patterns for the PII data that is used in the engineering pipeline.

CConfigure an Amazon Made discovery job for the S3 bucket.

DUse AWS Identity and Access Management (IAM) to manage permissions and to control access to the PII data.

EWrite custom scripts in an application to mask the PII data and to control access.

Show Suggested Answer

Suggested Answer: A, D

To address the requirement of masking PII data and ensuring secure access throughout the data pipeline, the combination of AWS Glue DataBrew and IAM provides a low-maintenance solution.

A . AWS Glue DataBrew for Masking:

AWS Glue DataBrew provides a visual tool to perform data transformations, including masking PII data. It allows for easy configuration of data transformation tasks without requiring manual coding, making it ideal for this use case.

D . AWS Identity and Access Management (IAM):

Using IAM policies allows fine-grained control over access to PII data, ensuring that only authorized users can view or process sensitive data during the pipeline stages.

Alternatives Considered:

B (Amazon GuardDuty): GuardDuty is for threat detection and does not handle data masking or access control for PII.

C (Amazon Macie): Macie can help discover sensitive data but does not handle the masking of PII or access control.

E (Custom scripts): Custom scripting increases the operational burden compared to a built-in solution like DataBrew.

AWS Glue DataBrew for Data Masking

IAM Policies for PII Access Control

by Susana at Oct 23, 2024, 08:51 PM

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23 days ago

Amazon Macie discovery job? Nah, that's not what we need here. The focus should be on masking the PII data and controlling access, not just discovering it.

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Miesha

6 days ago

C: Write custom scripts in an application to mask the PII data and to control access.

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Marta

7 days ago

B: D) Use AWS Identity and Access Management (IAM) to manage permissions and to control access to the PII data.

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Odette

8 days ago

A: Use AWS Glue DataBrew to perform extract, transform, and load (ETL) tasks that mask the PII data before analysis.

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I agree, it's a low-maintenance solution that meets the requirements.

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Junita

2 months ago

I think we should use AWS Glue DataBrew to mask the PII data.

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