- A
A. Create a workload group for the critical reports with a high importance setting and assign a minimum percentage of resources.
Correct. Workload groups with importance and resource allocation ensure that critical queries get priority and guaranteed resources, preventing ad-hoc queries from starving them.
- B
B. Enable result set caching on all queries to reduce execution time.
Why wrong: Incorrect. Result set caching improves repeat query performance but does not guarantee resources or provide isolation from concurrent workloads. Critical reports could still be delayed if the cache is not hit.
- C
C. Implement materialized views for the aggregations used in the critical reports.
Why wrong: Incorrect. Materialized views can speed up complex aggregations but do not provide resource guarantees. They do not prevent other queries from competing for resources.
- D
D. Use hash distribution for the fact tables to improve query parallelism.
Why wrong: Incorrect. Table distribution strategies improve query performance but do not provide workload isolation or resource guarantees. They affect data movement, not resource allocation at the query level.
Quick Answer
The correct answer is to create a workload group for the critical reports with a high importance setting and assign a minimum percentage of resources. This solution works because workload groups in Azure Synapse dedicated SQL pool provide guaranteed resource allocation by reserving a minimum percentage of CPU and memory for specific workloads, while the high importance setting ensures the system prioritizes these reports over ad-hoc queries during contention. On the Microsoft Azure Data Fundamentals DP-900 exam, this concept tests your understanding of how to guarantee resources for critical queries in Azure Synapse dedicated SQL pool, often appearing in scenarios where batch reporting must coexist with unpredictable analytical workloads. A common trap is confusing workload groups with resource classes or query labels, but remember that only workload groups offer both minimum resource guarantees and importance-based scheduling. To lock in the concept, think of it as “reserve and prioritize”—reserve a minimum resource slice, then set high importance to cut the line.
DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload on azure. 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.
A financial services company runs critical end-of-day reports in an Azure Synapse Analytics dedicated SQL pool. These reports require guaranteed resource allocation and must complete within a fixed time window. However, ad-hoc analytical queries from data scientists often consume resources, causing contention and delaying the critical reports. Which feature should the company implement to ensure the critical reports always receive sufficient resources?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"always"Why it matters: Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.
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
A. Create a workload group for the critical reports with a high importance setting and assign a minimum percentage of resources.
Option A is correct because workload groups in Azure Synapse Analytics dedicated SQL pool allow you to assign a minimum percentage of resources (e.g., CPU and memory) to a specific workload, ensuring guaranteed resource allocation. By setting high importance for the critical reports, the system prioritizes them over ad-hoc queries, preventing resource contention and ensuring they complete within the fixed time window.
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.
- ✓
A. Create a workload group for the critical reports with a high importance setting and assign a minimum percentage of resources.
Why this is correct
Correct. Workload groups with importance and resource allocation ensure that critical queries get priority and guaranteed resources, preventing ad-hoc queries from starving them.
Clue confirmation
The clue word "always" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
B. Enable result set caching on all queries to reduce execution time.
Why it's wrong here
Incorrect. Result set caching improves repeat query performance but does not guarantee resources or provide isolation from concurrent workloads. Critical reports could still be delayed if the cache is not hit.
- ✗
C. Implement materialized views for the aggregations used in the critical reports.
Why it's wrong here
Incorrect. Materialized views can speed up complex aggregations but do not provide resource guarantees. They do not prevent other queries from competing for resources.
- ✗
D. Use hash distribution for the fact tables to improve query parallelism.
Why it's wrong here
Incorrect. Table distribution strategies improve query performance but do not provide workload isolation or resource guarantees. They affect data movement, not resource allocation at the query level.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse performance optimization features (caching, materialized views, distribution) with resource governance, which is the only mechanism to guarantee resource allocation and priority in a shared environment.
Detailed technical explanation
How to think about this question
Workload groups in Azure Synapse dedicated SQL pool use the Resource Governor to enforce resource limits and importance levels at the query level. The minimum percentage of resources (e.g., min_percentage_resource) ensures that even under heavy load, the critical reports receive a baseline of CPU and memory, while importance settings (e.g., HIGH, MEDIUM, LOW) control scheduling priority. This is critical for meeting SLAs in financial reporting where delays can have regulatory implications.
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 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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DP-900 question test?
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: A. Create a workload group for the critical reports with a high importance setting and assign a minimum percentage of resources. — Option A is correct because workload groups in Azure Synapse Analytics dedicated SQL pool allow you to assign a minimum percentage of resources (e.g., CPU and memory) to a specific workload, ensuring guaranteed resource allocation. By setting high importance for the critical reports, the system prioritizes them over ad-hoc queries, preventing resource contention and ensuring they complete within the fixed time window.
What should I do if I get this DP-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "always". Absolute qualifier. An answer using 'always' is only correct if there are genuinely no exceptions — absolute statements are often wrong in networking.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
This DP-900 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-900 exam.
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