The answer is to pause the Dedicated SQL Pool during non-business hours and implement result set caching for frequently run queries. Pausing the pool stops billing for compute resources (DWU) while storage costs persist, directly eliminating the largest cost driver when the pool is idle. Result set caching reduces compute consumption by storing query outputs, so repeated reporting queries avoid re-scanning data, lowering both cost and latency. On the DP-203 exam, this scenario tests your understanding of cost optimization patterns for serverless versus dedicated resources, often appearing as a multi-select question where one distractor suggests scaling down instead of pausing—a common trap since scaling still incurs compute charges. A key memory tip: “Pause for peace, cache for cash”—pause eliminates compute entirely, while caching slashes repetitive compute usage.
DP-203 Practice Question: Monitor and optimize data storage and processing
This DP-203 practice question tests your understanding of monitor and optimize data storage and 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 TWO actions should you take to reduce costs associated with an Azure Synapse Dedicated SQL Pool that is used for reporting during business hours only?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Pause the pool during non-business hours.
Option A is correct because pausing a Dedicated SQL Pool stops billing for compute resources (DWU) while retaining storage costs. Since the pool is only needed for reporting during business hours, pausing it during non-business hours directly eliminates compute charges for that period, which is the most significant cost driver.
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.
✓
Pause the pool during non-business hours.
Why this is correct
Stops compute billing when not in use.
Related concept
Read the scenario before looking for a memorised answer.
✗
Enable advanced data compression on all tables.
Why it's wrong here
Compression saves storage, not compute.
✗
Scale down the pool during business hours.
Why it's wrong here
Scaling down during usage harms performance.
✗
Change the distribution of large tables to ROUND_ROBIN.
Why it's wrong here
Distribution affects query performance, not cost.
✓
Implement result set caching for frequently run queries.
Why this is correct
Reduces compute usage for repeated queries.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Microsoft often tests the distinction between compute cost reduction (pausing/scaling) and storage/performance optimizations (compression, distribution, caching), leading candidates to confuse storage-saving actions with compute-saving actions.
Detailed technical explanation
How to think about this question
Under the hood, a Dedicated SQL Pool separates compute and storage: pausing deallocates the compute nodes (which run on Azure’s distributed architecture) but keeps data in Azure Premium Blob Storage. Billing for compute (DWU) stops immediately upon pause, while storage costs continue at ~$0.023/GB/month. In real-world scenarios, a reporting pool used 9 AM–6 PM weekdays can save ~70% of compute costs by pausing outside those hours, but you must account for the 5–10 minute resume time to avoid impacting users.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Monitor and optimize data storage and processing — This question tests Monitor and optimize data storage and processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Pause the pool during non-business hours. — Option A is correct because pausing a Dedicated SQL Pool stops billing for compute resources (DWU) while retaining storage costs. Since the pool is only needed for reporting during business hours, pausing it during non-business hours directly eliminates compute charges for that period, which is the most significant cost driver.
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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