DP-203 Develop data processing Practice Question
You are using Azure Databricks to process a large dataset stored in Delta Lake. You need to reduce the number of files scanned during queries by organizing data into folders based on a commonly filtered column. Which Delta Lake feature should you implement?
⚠ Common exam trap
Many candidates confuse Z-ORDER BY with partitioning, when only partitioning creates a folder-based layout.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Partitioning the Delta table by the filtered column
Partitioning a Delta table by a frequently filtered column creates separate folders for each distinct value, allowing Delta Lake to skip irrelevant folders during queries. This reduces the number of files scanned and improves performance. Z-ORDER, Change Data Feed, and OPTIMIZE address different aspects and do not provide folder-level organization.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Partitioning the Delta table by the filtered column
Why this is correct
Partitioning a Delta table physically organizes data into separate folders based on the partition column. When queries filter on that column, Delta Lake can skip entire folders, reducing the amount of data scanned. This directly meets the requirement to organize data into folders for improved query performance.
- ✗
Z-ORDER BY on the filtered column
Why it's wrong here
Z-ORDER BY is used to co-locate related data within files, improving data skipping for multiple columns, but it does not organize data into folders. It optimizes file layout within partitions. The requirement is to organize data into folders, which is partitioning, not Z-ordering.
- ✗
Enabling Change Data Feed on the Delta table
Why it's wrong here
Change Data Feed tracks row-level changes for downstream consumption but does not affect data organization or folder structure. It is unrelated to reducing files scanned during queries. Enabling it would not satisfy the requirement to organize data into folders based on a filtered column.
- ✗
Running OPTIMIZE with file compaction
Why it's wrong here
OPTIMIZE compacts small files into larger ones, which can improve query performance by reducing the number of files, but it does not organize data into folders based on a column. It is a file layout optimization, not a partitioning strategy. The requirement explicitly asks for folder organization, so partitioning is the correct approach.
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Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.