Google Professional Data Engineer Question 148
Select 3Google Cloud PlatformYour company wants to implement a data pipeline to analyze customer purchasing behavior in near real-time. The analysis results will be used to recommend products to customers within seconds of their purchase. Which of the following are key business requirements that you should consider when designing the data pipeline?
- A
Low-latency data processing
- B
High availability and fault tolerance
- C
Batch processing capabilities
- D
Data encryption and regulatory compliance
- E
Monthly generation of static reports
Show answer and explanation
Correct answers: A, B, D
Explanation
The key business requirements for this scenario focus on enabling near real-time data processing, ensuring system reliability, and maintaining data security. Low-latency processing ensures quick responses, high availability ensures the system is always operational, and regulatory compliance secures sensitive data. Batch processing and static report generation are not aligned with the immediate, real-time nature of the business need.
- A. Correct.
Low-latency data processing is critical for near real-time recommendations to ensure customers receive suggestions immediately after their purchase.
- B. Correct.
High availability and fault tolerance are essential to ensure the data pipeline remains operational and reliable, especially for real-time systems.
- C. Incorrect.
Batch processing capabilities are not a priority for near real-time use cases and do not align with the immediate response requirement.
- D. Correct.
Data encryption and regulatory compliance are key to protecting customer data and ensuring the pipeline adheres to legal and security standards.
- E. Incorrect.
Monthly generation of static reports is not relevant to the real-time requirements of this use case.