**Concurrency Scaling**: Automatic for read bursts; no config. **Compute scaling**: (1) Elastic Resize: Lambda + EventBridge triggers resize API before known peak. (2) Schedule: Cron for recurring (e.g., month-end). (3) Spectrum: Overflow to S3 for ad-hoc. **Automation**:...
This easy-level SQL question appears frequently in data engineering interviews at companies like Capco. While less common, it tests deeper understanding that distinguishes strong candidates.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
Concurrency Scaling: Automatic for read bursts; no config. Compute scaling: (1) Elastic Resize: Lambda + EventBridge triggers resize API before known peak. (2) Schedule: Cron for recurring (e.g., month-end). (3) Spectrum: Overflow to S3 for ad-hoc. Automation: EventBridge rule → Lambda → modify-cluster. Scale-down rule after peak. Monitor: CloudWatch metrics; alert on queue depth.
Want feedback on your answer?
Paste your answer to this question and our AI Coach scores it, finds gaps, and shows you the FAANG-level version.
Get the most asked SQL questions with expert answers. Instant download.
No spam. Unsubscribe anytime.
Paste your answer and get instant AI feedback with a FAANG-level improved version.
Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked SQL interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.