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:
Explanation:
Auto Loader is a Databricks feature designed for incremental data ingestion. It's specifically built to work with structured streaming workloads to efficiently discover and load new files as they arrive in cloud storage.
Key points:
- Auto Loader uses structured streaming under the hood
- It's optimized for streaming scenarios where new files need to be processed as they arrive
- While Auto Loader can be used in batch contexts, it's fundamentally a streaming technology
- The other options (machine learning, serverless, dashboard workloads) are not the primary workload type that Auto Loader is designed for
Why A is correct: Auto Loader is built on Apache Spark Structured Streaming and is specifically designed for streaming data ingestion workloads where you need to continuously monitor directories for new files.
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