Google Professional Data Engineer Question 52
Select 3Google Cloud PlatformYour organization is transitioning from an on-premises data warehouse to Google BigQuery. Stakeholders have expressed concerns about maintaining current reporting capabilities while improving query performance and scalability. You are tasked with analyzing the current environment and creating a plan for a smooth migration to BigQuery. Which of the following steps should you include in your plan to address stakeholder needs and achieve the desired state?
- A
Conduct stakeholder interviews to identify current reporting requirements and pain points.
- B
Migrate all data to BigQuery without evaluating existing data usage patterns.
- C
Analyze query performance and optimize schema design for BigQuery's columnar storage.
- D
Implement a phased migration approach to validate data accuracy and performance at each stage.
- E
Ignore existing on-premises processes and create entirely new workflows in BigQuery.
Show answer and explanation
Correct answers: A, C, D
Explanation
Successfully planning a migration to BigQuery requires understanding stakeholder needs, analyzing current processes, and creating a strategy that ensures business continuity and improved performance. By conducting stakeholder interviews, optimizing for BigQuery's architecture, and implementing a phased migration approach, you can effectively address concerns and achieve the desired state. Avoiding the evaluation of existing data or ignoring current processes can lead to inefficiencies and dissatisfaction.
- A. Correct.
Conducting stakeholder interviews helps identify the current reporting requirements, business needs, and pain points, which are crucial for ensuring the new system meets user expectations.
- B. Incorrect.
Migrating all data without assessing its relevance or usage can lead to unnecessary costs and inefficiencies. It's important to evaluate data usage patterns to ensure an optimized migration.
- C. Correct.
Analyzing query performance and optimizing schema design for BigQuery's architecture (e.g., columnar storage and denormalized schemas) ensures better performance and scalability.
- D. Correct.
A phased migration allows you to test and validate data accuracy and performance incrementally, reducing risks and addressing issues early in the process.
- E. Incorrect.
Ignoring existing processes can lead to user dissatisfaction and disrupt business continuity. While improvements are necessary, the transition should consider and adapt existing workflows where applicable.