The answer is enabling result-set caching, using replicated tables, and partitioning large tables. These three actions directly improve dedicated SQL pool performance by reducing data movement and I/O: replicated tables avoid shuffling for small dimension tables, partitioning enables partition elimination to scan only relevant data, and result-set caching stores query results for repeated use, cutting compute load. On the DP-203 exam, this question tests your understanding of Synapse-specific optimization patterns, often appearing as a multi-select trap where rowstore indexes and round-robin distribution are common distractors—rowstore is slower than columnstore for analytics, and round-robin can cause excessive shuffles for large fact tables. Remember the mnemonic “RPC” for Replicated, Partitioned, Cached to recall the three correct actions when optimizing Azure Synapse Analytics dedicated SQL pool performance.
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
This DP-203 practice question tests your understanding of secure, monitor, and optimize data storage and data processing. 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.
Which THREE actions can improve the performance of a dedicated SQL pool in Azure Synapse Analytics?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Partition large fact tables on a date column.
Options A, B, and E are correct. Using replicated tables avoids shuffling for small tables; partitioning large tables enables partition elimination; using result-set caching reduces load. Option C is wrong because rowstore indexes are slower for analytics; columnstore is preferred. Option D is wrong because round-robin distribution is for large tables with no natural key, but it may cause shuffles.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Use rowstore indexes instead of columnstore indexes.
Why it's wrong here
Columnstore indexes are optimized for analytics; rowstore indexes are for OLTP.
✓
Partition large fact tables on a date column.
Why this is correct
Partitioning enables partition elimination, reducing data scanned.
Related concept
Static NAT maps one inside address to one outside address.
✗
Use round-robin distribution for all tables.
Why it's wrong here
Round-robin may cause data shuffles; hash distribution is often better for large tables.
✓
Use replicated tables for small dimension tables.
Why this is correct
Replicated tables avoid data movement during joins.
Related concept
Static NAT maps one inside address to one outside address.
✓
Enable result-set caching.
Why this is correct
Result-set caching returns cached results for repeated queries, improving performance.
Related concept
Static NAT maps one inside address to one outside address.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
Secure, monitor, and optimize data storage and data processing — This question tests Secure, monitor, and optimize data storage and data processing — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Partition large fact tables on a date column. — Options A, B, and E are correct. Using replicated tables avoids shuffling for small tables; partitioning large tables enables partition elimination; using result-set caching reduces load. Option C is wrong because rowstore indexes are slower for analytics; columnstore is preferred. Option D is wrong because round-robin distribution is for large tables with no natural key, but it may cause shuffles.
What should I do if I get this DP-203 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
About these practice questions
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which TWO actions can you take to optimize the performance of an Azure Synapse Analytics dedicated SQL pool? (Choose two.)
medium
A.Scale up the SQL pool to a higher DWU.
✓ B.Replicate small dimension tables.
C.Use heap indexes for fact tables.
D.Use round-robin distribution for all large fact tables.
✓ E.Use hash distribution on a column used in joins and aggregations.
Why B: Options A and E are correct. A improves query performance by distributing data for parallelism. E reduces data movement by colocating joins on the same distribution. B is wrong because round-robin distributes data evenly but does not reduce data movement. C is wrong because heaps are not optimal for data warehousing. D is wrong because increasing DWU may help but is not always the best optimization.
Last reviewed: Jun 21, 2026
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