Databricks Certified Data Engineer - Associate
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Which of the following describes the type of workloads that are always compatible with Auto Loader?
Real Exam
Community
KKeng
A
Streaming workloads
B
Machine learning workloads
C
Serverless workloads
D
Batch workloads
E
Dashboard workloads
Explanation:
Auto Loader is designed to support both streaming and batch workloads. It can incrementally load new files from cloud storage in both streaming and batch modes.
Key points:
- Streaming workloads (A): Auto Loader is optimized for streaming workloads where it can continuously monitor for new files and process them as they arrive.
- Batch workloads (D): Auto Loader also supports batch processing where it can load files in a single batch operation.
- Other options: Machine learning workloads (B), serverless workloads (C), and dashboard workloads (E) are not specifically what Auto Loader is designed for - Auto Loader is a data ingestion tool focused on file loading from cloud storage.
Explanation: Auto Loader's primary purpose is to incrementally and efficiently process new files from cloud storage, making it compatible with both streaming and batch processing paradigms.
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