DP-700 Implement and Manage an Analytics Solution Practice Question
You have a Power BI report connected to a Fabric Lakehouse using DirectLake mode. Users report that the data in the report is not reflecting the latest changes made to the Delta tables in the Lakehouse. What should you check first to resolve this?
⚠ Common exam trap
Candidates assume DirectLake automatically reflects all Delta table changes instantly without checking the specific semantic model synchronization configuration settings.
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
✓
The 'Keep your Direct Lake data up to date' setting.
DirectLake mode relies on the semantic model being able to read Delta files directly from OneLake. However, for the model to see updates, it must be synchronized with the latest metadata of the Lakehouse. If 'Keep your Direct Lake data up to date' is disabled, the model will not automatically reflect changes until a refresh is triggered.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The SQL Analytics Endpoint connection string.
Why it's wrong here
DirectLake mode does not use the SQL Analytics Endpoint; it reads the Parquet files directly from OneLake. Checking the SQL connection string would be relevant for DirectQuery mode via the SQL endpoint, but it is not applicable to the performance-optimized DirectLake connectivity path.
- ✓
The 'Keep your Direct Lake data up to date' setting.
Why this is correct
In the semantic model settings, the 'Keep your Direct Lake data up to date' option ensures that the model automatically stays in sync with the Lakehouse. If this is off, the model will point to an older version of the data, requiring a manual refresh to see new commits.
- ✗
The Spark cluster's auto-termination settings.
Why it's wrong here
Spark cluster settings affect the performance and cost of data processing during ingestion but have no impact on how the Power BI semantic model reads data in DirectLake mode. DirectLake is a feature of the Analysis Services engine, which operates independently of the Spark compute.
- ✗
The V-Order optimization status of the Delta tables.
Why it's wrong here
V-Order is an optimization that improves the read performance of Power BI against Delta tables. While it makes the reports faster, its absence would not cause data to be missing or outdated; it would only result in slightly slower query performance for the DirectLake connection.
Visual reference
About these practice questions
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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-700 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-700 exam.