A data engineering team wants to ingest data from a JSON files landing zone in an Azure Data Lake Storage (ADLS) container into a Delta table. New files arrive continuously throughout the day. They want an automated, scalable solution that processes only new files incrementally without reprocessing already-ingested files. Which Databricks ingestion method is most appropriate?
This question requires Pro
Unlock all 10 questions in this certification
Written by certified professionals · Aligned to official exam objectives
View all Pro featuresMore Importing Data Questions
10 questions
Full Databricks Certified Data Analyst Associate Practice Test
All topics covered
All Databricks Certified Data Analyst Associate Questions
Browse by topic
Related Questions
A data analyst wants to import a CSV file from their local machine into a Databricks SQL table witho...
A company receives live data updates from a partner organization that uses a different cloud platfor...
A data engineering team uses Auto Loader to ingest JSON files from an S3 bucket into a Delta table. ...
A data analyst wants to bring in a CSV file stored in an Amazon S3 bucket into a Databricks SQL tabl...
A retail company receives daily order data feeds from an external ERP system as CSV files dropped in...
Educational Content — CertQnA practice questions are written against official exam objectives, covering the same domains tested on the real exam. All content is original and independent — not actual exam questions, not affiliated with any certification vendor. Learn more about our content policy