Exam Databricks-Certified-Data-Engineer-Associate Topic 2 Question 103 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Associate exam
Question #: 103
Topic #: 2
A Data Engineer is building a simple data pipeline using Delta Live Tables (DLT) in Databricks to ingest customer data. The raw customer data is stored in a cloud storage location in JSON format. The task is to create a DLT pipeline that reads the raw JSON data and writes it into a Delta table for further processing. Which code snippet will correctly ingest the raw JSON data and create a Delta table using DLT?

Suggested Answer: C Vote an answer

The correct approach is to use @dlt.table to define a Delta Live Table and read the raw JSON data with spark.read.json("s3://..."). This properly ingests the JSON source data and materializes it as a managed Delta table in DLT.

by Ian at Jul 16, 2026, 12:32 AM

Comments

Chosen Answer:
This is a voting comment (?) , you can switch to a simple comment.
Switch to a voting comment New
Nick name: Submit Cancel
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

0
0
0
10