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Question 361 - Professional Data Engineer discussion

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You have several different unstructured data sources, within your on-premises data center as well as in the cloud. The data is in various formats, such as Apache Parquet and CSV. You want to centralize this data in Cloud Storage. You need to set up an object sink for your data that allows you to use your own encryption keys. You want to use a GUI-based solution. What should you do?

A.
Use Cloud Data Fusion to move files into Cloud Storage.
Answers
A.
Use Cloud Data Fusion to move files into Cloud Storage.
B.
Use Storage Transfer Service to move files into Cloud Storage.
Answers
B.
Use Storage Transfer Service to move files into Cloud Storage.
C.
Use Dataflow to move files into Cloud Storage.
Answers
C.
Use Dataflow to move files into Cloud Storage.
D.
Use BigQuery Data Transfer Service to move files into BigQuery.
Answers
D.
Use BigQuery Data Transfer Service to move files into BigQuery.
Suggested answer: A

Explanation:

To centralize unstructured data from various sources into Cloud Storage using a GUI-based solution while allowing the use of your own encryption keys, Cloud Data Fusion is the most suitable option. Here's why:

Cloud Data Fusion:

Cloud Data Fusion is a fully managed, cloud-native data integration service that helps in building and managing ETL pipelines with a visual interface.

It supports a wide range of data sources and formats, including Apache Parquet and CSV, and provides a user-friendly GUI for pipeline creation and management.

Custom Encryption Keys:

Cloud Data Fusion allows the use of customer-managed encryption keys (CMEK) for data encryption, ensuring that your data is securely stored according to your encryption policies.

Centralizing Data:

Cloud Data Fusion simplifies the process of moving data from on-premises and cloud sources into Cloud Storage, providing a centralized repository for your unstructured data.

Steps to Implement:

Set Up Cloud Data Fusion:

Deploy a Cloud Data Fusion instance and configure it to connect to your various data sources.

Create ETL Pipelines:

Use the GUI to create data pipelines that extract data from your sources and load it into Cloud Storage. Configure the pipelines to use your custom encryption keys.

Run and Monitor Pipelines:

Execute the pipelines and monitor their performance and data movement through the Cloud Data Fusion dashboard.

Cloud Data Fusion Documentation

Using Customer-Managed Encryption Keys (CMEK)

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asked 18/09/2024
Grégory CALIX
35 questions
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