Databricks Certified Data Engineer - Professional

Explanation

When choosing between micro-batch and continuous execution modes in streaming data processing, the key considerations are:

A. Desired latency - This is a primary factor. Continuous execution mode provides lower latency (sub-second) compared to micro-batch execution (seconds to minutes). If you need near real-time processing, continuous mode is preferred.

C. Maximum throughput - Micro-batch execution typically offers higher throughput as it can process larger batches of data more efficiently, while continuous mode may have lower throughput due to the overhead of continuous processing.

Why not the other options:

• B. Total cost of operation (TCO) - While cost is always a consideration, it's not a primary differentiator between these two execution modes specifically.
• D. Cloud object storage - This is infrastructure-related but doesn't directly influence the choice between micro-batch and continuous execution modes.

Key differences:

• Micro-batch: Higher latency, higher throughput, better for large data volumes
• Continuous: Lower latency, lower throughput, better for real-time requirements