DP-203 Develop data processing Practice Question
You are designing a data processing solution using Azure Synapse Analytics serverless SQL pool. The solution must query data stored in Parquet files in Azure Data Lake Storage Gen2. The queries are ad-hoc and vary greatly. Which feature should you use to optimize query performance for frequently accessed data partitions?
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
✓
Use OPENROWSET with explicit file path filtering.
Using OPENROWSET with explicit file path filtering allows partition pruning by limiting the scan to the specified folders, thus improving query performance for frequently accessed partitions. Option A is wrong because workload management is a feature for dedicated SQL pool, not serverless. Option C is wrong because result-set caching is not supported in serverless SQL pool; it is a feature of dedicated SQL pool. Option D is wrong because materialized views are not supported in serverless SQL pool.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Implement workload management to prioritize queries.
Why it's wrong here
Workload management is for dedicated SQL pool.
- ✓
Use OPENROWSET with explicit file path filtering.
Why this is correct
OPENROWSET with path filtering prunes partitions and improves performance.
- ✗
Enable result-set caching on the serverless SQL pool.
Why it's wrong here
Result-set caching is not available in serverless SQL pool.
- ✗
Create materialized views on the Parquet files.
Why it's wrong here
Materialized views are not supported in serverless SQL pool.
Quick reference
Cloud Service Model Comparison
| Model | You Manage | Provider Manages | Examples |
|---|---|---|---|
| IaaS | OS, runtime, apps, data | Hardware, hypervisor, networking | EC2, Azure VMs, GCP Compute Engine |
| PaaS | Apps and data | OS, runtime, middleware, hardware | Elastic Beanstalk, Azure App Service |
| SaaS | Data and settings only | Everything else | Microsoft 365, Salesforce, Workday |
| FaaS / Serverless | Function code only | Infra, scaling, runtime | Lambda, Azure Functions, Cloud Run |
| CaaS | Containers and apps | Kubernetes, OS, hardware | EKS, AKS, GKE |
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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.