Question 392 of 982
Describe an analytics workload on AzurehardMultiple ChoiceObjective-mapped

Quick Answer

The answer is workload management with workload isolation. This feature guarantees consistent performance for interactive queries by reserving a minimum percentage of resources—configured via the REQUEST_MIN_RESOURCE_PERCENT setting—so that large batch loads cannot starve them of compute capacity. On the Microsoft Azure Data Fundamentals DP-900 exam, this concept tests your understanding of how Azure Synapse Analytics handles resource contention between mixed workloads, often appearing in scenario-based questions where you must choose between workload isolation, result-set caching, or materialized views. A common trap is selecting “result-set caching” because it improves query speed, but it does not reserve resources; isolation is about guaranteed resource allocation, not caching. Remember the memory tip: “Isolation insulates interactive queries from batch bursts.”

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 company uses Azure Synapse Analytics to run both interactive queries and large batch loads. The interactive queries must have consistent performance regardless of batch load activity. Which Synapse feature should the company use?

Question 1hardmultiple choice
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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

Workload management with workload isolation.

Workload management with workload isolation in Azure Synapse Analytics allows you to reserve resources for specific workloads, such as interactive queries, ensuring they have consistent performance even when large batch loads are running. By creating a workload group with 'REQUEST_MIN_RESOURCE_PERCENT' set to a non-zero value, you guarantee a minimum amount of resources are always available for that group, preventing contention from other workloads.

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.

  • Workload management with workload isolation.

    Why this is correct

    Workload isolation reserves compute resources for specific workloads, preventing contention.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Result-set caching for frequently run queries.

    Why it's wrong here

    Caching speeds up repeated queries but does not isolate resources.

  • Materialized views for aggregate data.

    Why it's wrong here

    Materialized views improve query performance but do not provide resource isolation.

  • Data compression with columnstore indexes.

    Why it's wrong here

    Compression reduces storage and may improve I/O but does not isolate compute resources.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse performance optimization features like caching or materialized views with resource governance features, assuming they provide isolation when they only improve query speed without guaranteeing resource availability.

Detailed technical explanation

How to think about this question

Under the hood, workload isolation in Synapse uses the 'REQUEST_MIN_RESOURCE_PERCENT' and 'REQUEST_MAX_RESOURCE_PERCENT' settings in workload groups to allocate a guaranteed percentage of resources (e.g., CPU and memory) from the overall pool. For example, setting 'REQUEST_MIN_RESOURCE_PERCENT' to 20% ensures that interactive queries always have at least 20% of resources, even when a batch load consumes the rest. This is implemented via the Synapse SQL pool's resource governor, which enforces these limits at the query execution level, preventing resource starvation.

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: Workload management with workload isolation. — Workload management with workload isolation in Azure Synapse Analytics allows you to reserve resources for specific workloads, such as interactive queries, ensuring they have consistent performance even when large batch loads are running. By creating a workload group with 'REQUEST_MIN_RESOURCE_PERCENT' set to a non-zero value, you guarantee a minimum amount of resources are always available for that group, preventing contention from other workloads.

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.

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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