How to centralize data using a GUI with CMEK?
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?
Community Votes
64% of anonymous learners picked answer D. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
The question tests the ability to distinguish between transfer utilities and ETL tools, specifically identifying Cloud Data Fusion as the GUI-based solution that supports CMEK for data movement.
To centralize unstructured data in Cloud Storage using a GUI and Customer Managed Encryption Keys (CMEK), Cloud Data Fusion is the correct service. It provides a fully managed, graphical interface for building data pipelines that supports custom encryption.
Selecting Storage Transfer Service (Option B) because it moves data to Cloud Storage and supports encryption, but failing to recognize that the exam specifically associates the
Community Discussion (5 comments)
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Expert Analysis
Why the Answer Is Correct
Cloud Data Fusion is a fully managed, cloud-native data integration service that provides a graphical user interface (GUI) for building and managing data pipelines. It supports various data formats like Parquet and CSV, and allows users to configure Customer Managed Encryption Keys (CMEK) to secure data at rest in the Cloud Storage sink, satisfying all the constraints listed in the scenario.Why the Other Options Are Wrong
Option A is incorrect because BigQuery Data Transfer Service is designed to move data into BigQuery, not Cloud Storage. Option B, Storage Transfer Service, moves files to Cloud Storage and supports CMEK, but is generally classified as a transfer utility rather than the primary GUI-based pipeline solution the question seeks. Option C, Dataflow, is a serverless data processing service that primarily requires code (Apache Beam) rather than a GUI for pipeline definition.Community Comment Notes
The community consensus heavily favors Option D, with commenters explicitly stating that Cloud Data Fusion is the only GUI-based solution among the choices. Users noted that while Storage Transfer Service supports CMEK in-transit, the specific requirement for a GUI-based solution points directly to Data Fusion.Official Reference
Exam Strategy
When a Google Cloud data movement question specifies a "GUI-based solution" or "graphical interface," immediately filter for Cloud Data Fusion. Do not be distracted by other services that technically perform the data transfer but rely on command-line or code-based interfaces.