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Databricks-DA-Assoc Understanding the Databricks Platform Practice Question

A data analyst at a retail company needs a serverless, fully managed SQL environment in Databricks to run BI queries against a gold Delta table. The team has no interest in managing clusters, and the queries must start instantly without a warm-up period. Which Databricks SQL warehouse type should the analyst select?

⚠ Common exam trap

The trap here is assuming any SQL warehouse is serverless, when classic and Pro warehouses still run on compute provisioned inside the customer's own cloud account.

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

✓

Serverless SQL warehouse

The requirement is a fully managed SQL endpoint that starts immediately and requires no cluster sizing, which is exactly what a serverless SQL warehouse provides. It runs on Databricks-managed compute, scales automatically for BI workloads, and eliminates warm-up and capacity planning. Classic and Pro warehouses and all-purpose clusters all involve customer-managed compute.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Serverless SQL warehouse

    Why this is correct

    Serverless SQL warehouses run in the Databricks account's compute plane, so Databricks manages the infrastructure and the warehouse starts in seconds with no cluster configuration. This matches the requirement for a fully managed, instant-start environment for BI queries on a gold Delta table, removing all capacity planning from the analyst's team.

  • ✗

    All-purpose cluster with the SQL dialect enabled

    Why it's wrong here

    An all-purpose cluster is interactive compute intended for notebooks and exploration, not a dedicated SQL warehouse. It requires manual configuration, does not offer the SQL warehouse concurrency and endpoint model, and is not serverless, so it cannot deliver the instant-start, fully managed BI experience the analyst requires.

  • ✗

    Pro SQL warehouse with Photon enabled

    Why it's wrong here

    Pro SQL warehouses are classic warehouses that add features such as query history and alerts but still run on customer-managed compute inside the workspace's cloud account. Photon accelerates query execution but does not eliminate the cluster-sizing and warm-up concerns, so this choice does not meet the fully managed, instant-start need.

  • ✗

    Classic SQL warehouse with a fixed cluster size

    Why it's wrong here

    A classic SQL warehouse runs in the customer's cloud account and requires the team to choose a cluster size and scaling limits, even though provisioning is partly automated. It is not fully managed, and starting from a stopped state introduces a warm-up delay, so it does not satisfy the instant-start, no-management requirement in this scenario.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed September 2026 · checked against the official Databricks exam blueprint

This Databricks-DA-Assoc practice question is part of Courseiva's free Databricks 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 Databricks-DA-Assoc exam.