Drag and Drop Question Match the types of workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload

The correct answer is Batch; Streaming; Batch. Batch workloads process large volumes of data collected over a period of time at scheduled intervals (e.g., nightly ETL jobs, monthly billing), making them ideal for scenarios where real-time results are not required. Streaming workloads process data continuously as it arrives in

Submitted by khalil_dz· Mar 30, 2026Data Engineering / Cloud Architecture - Understanding the distinction between batch and streaming data processing workloads and selecting the appropriate paradigm based on latency, volume, and business requirements (commonly tested in AWS, Azure, GCP, and general data engineering certifications).

Question

Drag and Drop Question Match the types of workloads to the appropriate scenarios. To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may he used once, more than once, or not at all. NOTE: Each correct match is worth one point. Answer:

Exhibit

Answer Area

Drag items

BatchStreaming

Correct arrangement

Batch
Streaming
Batch

Explanation

Batch workloads process large volumes of data collected over a period of time at scheduled intervals (e.g., nightly ETL jobs, monthly billing), making them ideal for scenarios where real-time results are not required. Streaming workloads process data continuously as it arrives in real-time (e.g., fraud detection, live dashboards, IoT sensor data), enabling immediate insights and actions. The correct arrangement - Batch, Streaming, Batch - reflects that two scenarios involve scheduled/bulk processing while one scenario requires continuous, real-time data ingestion and processing.

Topics

#Batch Processing#Streaming Processing#Data Workloads#Real-Time vs. Scheduled Processing

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