Google Professional Data Engineer Question 53
Select 3Google Cloud PlatformA healthcare organization is planning to modernize its data processing pipelines to meet the increasing demand for real-time analytics. Currently, they use batch processing with on-premises servers, but they want to move to a serverless, cloud-native solution on Google Cloud. Stakeholders have expressed the following needs: 1) Faster data ingestion and processing, 2) Scalable infrastructure to handle growing data volumes, 3) Minimal operational overhead, and 4) Compliance with healthcare data regulations such as HIPAA. As a Data Engineer, how would you analyze the current state and create a plan to transition to the desired state?
- A
Interview stakeholders to clearly identify business goals, data challenges, and regulatory requirements.
- B
Implement a real-time data processing pipeline in Apache Beam without consulting stakeholders to save time.
- C
Evaluate the current on-premises system's limitations, including latency, scalability, and compliance gaps.
- D
Select Google Cloud products such as Cloud Dataflow, BigQuery, and Cloud Healthcare API to meet the organization's needs.
- E
Migrate all existing batch pipelines to Cloud Dataflow without assessing if real-time processing is necessary.
Show answer and explanation
Correct answers: A, C, D
Explanation
To successfully transition to the desired state, a Data Engineer must analyze the current system, engage stakeholders to understand their needs, and evaluate Google Cloud's offerings to meet those needs. This ensures the solution is scalable, compliant, and aligned with business goals. Selecting the appropriate tools and technologies requires a thorough understanding of the limitations of the existing system and the requirements of the desired state.
- A. Correct.
Interviewing stakeholders is critical to ensure that the solution aligns with business goals, user needs, and compliance requirements. Skipping this step could lead to a misaligned or incomplete solution.
- B. Incorrect.
Skipping stakeholder consultation and directly implementing a solution is not recommended. It risks overlooking key requirements, like compliance or scalability, and could lead to project failure.
- C. Correct.
Evaluating the current system's limitations is essential for understanding the gaps and challenges that the new solution must address.
- D. Correct.
Selecting suitable Google Cloud products that align with the identified requirements (e.g., Cloud Dataflow for real-time processing, BigQuery for analytics, and Cloud Healthcare API for compliance) is critical to achieving the desired state.
- E. Incorrect.
Blindly migrating all batch pipelines to Cloud Dataflow without assessing the need for real-time processing could result in unnecessary costs and complexity. Not all use cases require real-time processing.