Identify the standard GCP serverless data pipeline components for streaming data.

Choosing direct BigQuery streaming (D), which fails to account for traffic spikes that could overwhelm the system without a Pub/Sub buffer.

Question 1

CASE STUDY: TechStream Gaming

Overview:
Industry: Gaming
Size: 500 employees, $100M revenue

Environment:
- On-prem US/EU
- 200 servers
- MySQL (5 TB)
- 2M peak users
- $100K/mo cost

Requirements:
- Reduce costs 40%
- 5x growth
- Launch APAC/SA/Africa
- Daily deployments

Exec Statements:
- CEO: Scale rapidly.
- CFO: Max $100K/mo, 18mo ROI.
- CTO: Limited cloud exp, 99.95% uptime.

Tech Reqs:
- <100ms latency globally
- Real-time analytics
- 5x seasonal spikes
- EU data residency
- DDoS protection
- CI/CD

Constraints:
- 12mo migration
- <4hr downtime
- 20 Java/MySQL devs, 5 ops
- $2M budget

QUESTION: How should you design the real-time analytics pipeline for player behavior?

Accepted Answer

Identify the standard GCP serverless data pipeline components for streaming data.

Question 2

What mistakes do candidates make on this GCP PCA question?

Accepted Answer

Choosing direct BigQuery streaming (D), which fails to account for traffic spikes that could overwhelm the system without a Pub/Sub buffer.

How to approach this question

Full Answer