DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data storage. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
You have an Azure Synapse Analytics dedicated SQL pool with a large fact table partitioned by date. As data grows, query performance on recent data degrades. You need to improve performance for queries filtering on the current month without affecting queries on older data. What should you do?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Implement partition switching to move older partitions to a different filegroup with slower storage
Partition switching allows you to efficiently move older partitions to a different filegroup (e.g., slower or compressed storage) without affecting queries on recent data. This reduces the active data volume in the fact table, improving scan performance for queries filtering on the current month. The operation is metadata-only and does not require data movement, so it does not impact ongoing queries on the remaining partitions.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 partition switching to move older partitions to a different filegroup with slower storage
Why this is correct
D is correct because partition switching isolates recent data and allows targeted performance tuning.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the service level objective (SLO) of the dedicated SQL pool
Why it's wrong here
C is wrong because increasing SLO affects all queries and increases cost.
✗
Change the table distribution to round-robin
Why it's wrong here
B is wrong because round-robin can lead to data movement for partition elimination queries.
✗
Update statistics on the table for the current month partition
Why it's wrong here
A is wrong because statistics help but do not specifically address recent data performance degradation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse partition switching with partition elimination or index maintenance, thinking that updating statistics or scaling resources will solve the performance issue, when the real bottleneck is the sheer volume of data in the table that must be scanned for queries on recent data.
Detailed technical explanation
How to think about this question
Partition switching in Azure Synapse Dedicated SQL Pool leverages the ALTER TABLE SWITCH command, which is a metadata-only operation that instantly moves a partition between tables without physically moving data. This is commonly used in sliding-window scenarios to archive old data to a separate table on slower storage (e.g., Azure Blob Storage via PolyBase or a separate filegroup), while keeping the hot partition for the current month in the main table. The key subtlety is that both source and target partitions must have identical schemas, indexes, and partition boundaries for the switch to succeed.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Implement partition switching to move older partitions to a different filegroup with slower storage — Partition switching allows you to efficiently move older partitions to a different filegroup (e.g., slower or compressed storage) without affecting queries on recent data. This reduces the active data volume in the fact table, improving scan performance for queries filtering on the current month. The operation is metadata-only and does not require data movement, so it does not impact ongoing queries on the remaining partitions.
What should I do if I get this DP-203 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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