DP-700 Implement and Manage an Analytics Solution Practice Question
Exhibit
CREATE TABLE SalesData (ID int, Amount decimal, TransDate date) USING DELTA; INSERT INTO SalesData VALUES (1, 100.0, '2023-01-01');
Refer to the exhibit. Which command would be most effective for improving query performance on this table if you frequently filter by TransDate?
⚠ Common exam trap
Candidates mistakenly suggest standard SQL index creation commands instead of Delta Lake optimization commands tailored for distributed file storage engines.
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
✓
OPTIMIZE SalesData ZORDER BY (TransDate)
Partitioning or Z-Ordering by a date column is highly effective when queries frequently filter on that specific column. By organizing the data based on the transaction date, the Delta engine can skip large chunks of irrelevant files, significantly reducing the I/O required for queries. This is a critical performance tuning technique in Fabric for handling time-series data efficiently at scale.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
OPTIMIZE SalesData ZORDER BY (TransDate)
Why this is correct
Z-Ordering co-locates related data within the parquet files, which is excellent for columns used in filters or joins. Applying Z-Ordering to the TransDate column ensures that data for specific date ranges is clustered together, allowing the engine to quickly identify and read only relevant data segments.
- ✗
ALTER TABLE SalesData ADD COLUMN Location String
Why it's wrong here
Adding a new column does not influence the physical layout or the storage performance of existing data. While it might be required for business logic, it has no impact on query optimization or performance bottlenecks related to filtering on the TransDate column.
- ✗
DROP TABLE SalesData; CREATE TABLE SalesData ... CLUSTER BY (ID)
Why it's wrong here
Clustering by ID is ineffective for queries that filter by TransDate. Data clustering should be aligned with the columns used in frequent predicates. Creating a cluster on the ID column would provide no benefit for date-based queries, failing to resolve the performance issue for the target users.
- ✗
VACUUM SalesData
Why it's wrong here
The VACUUM command is used for cleaning up historical files and maintaining storage hygiene, not for improving query execution speed. While it is important for cost and metadata management, it does not reorganize the data layout to facilitate efficient filtering or partition skipping during query execution.
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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
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