Google Professional Data Engineer Question 140
Select 4Google Cloud PlatformYour organization is planning to use BigQuery as a data warehouse to analyze large datasets. The data will come from multiple sources and needs to be queried in near real-time. Which of the following considerations should you focus on when planning the data warehouse design?
- A
Ensuring the schema is designed to support partitioning and clustering for optimized query performance.
- B
Choosing a location for the dataset that minimizes network latency and adheres to data residency requirements.
- C
Configuring manual scaling of BigQuery slots to handle fluctuating workloads.
- D
Using a flat schema design with nested and repeated fields to reduce the need for complex joins.
- E
Planning for encryption of the data at rest and in transit to meet security compliance requirements.
Show answer and explanation
Correct answers: A, B, D, E
Explanation
When planning for a data warehouse like BigQuery, it is essential to consider factors such as schema design (partitioning and clustering), dataset location (latency and compliance), security (encryption), and schema structure (flat schema with nested fields). BigQuery's serverless architecture automatically scales, so there is no need for manual scaling of slots.
- A. Correct.
Ensuring the schema supports partitioning and clustering is critical for optimizing query performance, especially when working with large datasets.
- B. Correct.
Choosing the appropriate dataset location is essential to minimize latency and meet data residency or compliance requirements.
- C. Incorrect.
BigQuery is a serverless solution that automatically scales resources, so manual scaling of slots is not necessary and irrelevant in this context.
- D. Correct.
Using a flat schema with nested and repeated fields helps reduce the need for complex joins, which can improve performance in a data warehouse like BigQuery.
- E. Correct.
Encrypting data at rest and in transit is a key consideration for ensuring security and compliance with organizational and regulatory standards.