- A
Create an external table with a clustered index on the date column.
Why wrong: External tables do not support indexes.
- B
Create an external table partitioned by date column with a partition location pattern.
Partitioned external tables allow PolyBase to eliminate partitions, loading only new data.
- C
Create an external table on ORC files with a clustered columnstore index.
Why wrong: ORC is a file format, not a partitioning strategy; indexes cannot be created on external tables.
- D
Create an external table with round-robin distribution on the date column.
Why wrong: Round-robin distribution distributes rows randomly; it does not support partition pruning.
Quick Answer
The answer is to create an external table partitioned by a date column with a partition location pattern. This configuration is correct because it enables PolyBase partition elimination, where the query engine reads only the specific folder or file paths in Azure Data Lake Storage Gen2 that correspond to new or modified date ranges, avoiding a full scan of historical data. On the Microsoft Azure Data Engineer Associate DP-203 exam, this concept tests your understanding of how PolyBase external tables interact with partitioned storage to support incremental loading patterns. A common trap is assuming that partitioning the source files alone is sufficient—without the matching partition location pattern in the external table definition, PolyBase cannot perform elimination. Remember the memory tip: “Date-driven folders, partition-elimination loaders”—if your external table’s location pattern mirrors your folder structure by date, you get true incremental reads.
DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data storage. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
A company uses Azure Synapse Analytics dedicated SQL pool. They need to load data from Azure Data Lake Storage Gen2 (ADLS Gen2) incrementally. Which PolyBase external table configuration supports incremental loading without reprocessing historical data?
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
Create an external table partitioned by date column with a partition location pattern.
Option B is correct because partitioning an external table by a date column with a partition location pattern allows PolyBase to perform partition elimination during queries. This means only the partitions containing new or modified data are read from ADLS Gen2, enabling incremental loading without scanning historical data.
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.
- ✗
Create an external table with a clustered index on the date column.
Why it's wrong here
External tables do not support indexes.
- ✓
Create an external table partitioned by date column with a partition location pattern.
Why this is correct
Partitioned external tables allow PolyBase to eliminate partitions, loading only new data.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Create an external table on ORC files with a clustered columnstore index.
Why it's wrong here
ORC is a file format, not a partitioning strategy; indexes cannot be created on external tables.
- ✗
Create an external table with round-robin distribution on the date column.
Why it's wrong here
Round-robin distribution distributes rows randomly; it does not support partition pruning.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse indexing or distribution strategies (which apply to internal tables) with external table capabilities, overlooking that only partition elimination on external tables enables incremental file-level filtering in PolyBase.
Detailed technical explanation
How to think about this question
Under the hood, PolyBase external tables with partition elimination leverage the folder structure in ADLS Gen2. When you define a partition location pattern (e.g., /data/year=*/month=*/day=*), PolyBase maps each partition to a specific folder and only reads the folders that match the query predicate on the partition column. This is critical for incremental loads because you can point to new folders (e.g., a new date) without reprocessing old ones, significantly reducing data movement and query time.
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.
What to study next
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FAQ
Questions learners often ask
What does this DP-203 question test?
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: Create an external table partitioned by date column with a partition location pattern. — Option B is correct because partitioning an external table by a date column with a partition location pattern allows PolyBase to perform partition elimination during queries. This means only the partitions containing new or modified data are read from ADLS Gen2, enabling incremental loading without scanning historical data.
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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Last reviewed: Jun 24, 2026
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