DP-600 Maintain a Data Analytics Solution Practice Question
You are optimizing a Lakehouse for performance. Which three actions help improve the query performance for users accessing the SQL endpoint?
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
✓
Enable V-Order on the Delta tables.
Optimizing the SQL endpoint performance involves physical data design choices. By utilizing efficient file formats, partition strategies, and optimization tools, you reduce the workload on the query engine. These steps are crucial for ensuring that the SQL endpoint can handle high-concurrency analytical workloads, providing users with fast data access and a responsive reporting experience in the Fabric ecosystem.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Enable V-Order on the Delta tables.
Why this is correct
V-Order is a technique in Delta Lake that optimizes the Parquet file structure for read operations. It improves the performance of reads by aligning data in a way that allows the engine to skip unnecessary data blocks, which significantly accelerates query execution for users accessing the SQL endpoint.
- ✗
Increase the number of small files in the table.
Why it's wrong here
Creating many small files is a major performance anti-pattern. It increases metadata overhead and slows down the scan operations, as the engine must open and close numerous files instead of reading contiguous data blocks. This is a primary cause of poor performance in Lakehouse architectures.
- ✓
Apply partition columns to heavily filtered fields.
Why this is correct
Partitioning data based on frequently filtered columns allows the engine to perform partition pruning, which is a powerful optimization technique. By skipping entire directories of data that do not match the query filter, the engine processes significantly less data, resulting in much faster query response times.
- ✗
Convert all tables to CSV format.
Why it's wrong here
CSV is a text-based, row-oriented format that is extremely inefficient for analytical queries compared to the columnar Parquet format used in Delta tables. Converting to CSV would lead to massive performance degradation, as the engine would need to read the entire file instead of specific columns.
- ✓
Run the OPTIMIZE command periodically.
Why this is correct
The OPTIMIZE command compacts small files into larger, better-organized Parquet files. This reduces the metadata load and streamlines the reading process, which is essential for maintaining consistent performance as data continues to be ingested into the Lakehouse over time through various automated ETL pipelines.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
This DP-600 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-600 exam.