Be able to read a cluster configuration and state what happens when it goes idle, and identify which Databricks features handle autoscaling and automatic termination. The single most important thing: know that autotermination_minutes shuts down an idle cluster, while autoscaling only adjusts worker count.
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Domain overview
This domain covers the Databricks workspace itself: how clusters are configured, auto-scaled, and terminated; how data and metadata are browsed through Catalog Explorer; and how results are shared with stakeholders. Questions are scenario-based, asking you to interpret cluster JSON settings, pick cost-management features, or choose the right sharing method for a given audience.
Exam objectives
Interpreting cluster JSON fields such as autotermination_minutes and auto-scaling min/max workers
Using automatic cluster termination and autoscaling to control Databricks compute costs
Navigating Catalog Explorer to browse catalogs, schemas, tables, and their metadata
Sharing dashboards or published results so stakeholders view outputs without raw data access
Assuming an idle cluster stays running indefinitely; autotermination_minutes terminates it after the configured inactivity window
Confusing autoscaling (worker count) with autotermination (shutdown), which are separate cluster settings
Granting stakeholders direct table access instead of sharing a dashboard or published view of the results
Click any question to see the full explanation and answer options, or start a focused practice session above.
A data analyst is working in a Databricks workspace and needs to ensure that their notebook code is version-controlled and collaborative. Which TWO actions should they take?
2Refer to the exhibit. Given the provided JSON configuration for a Databricks cluster, what is the primary use case for this resource?
3Which component of the Databricks Data Intelligence Platform allows users to discover, govern, and share data across the entire organization?
4Which THREE of the following are benefits of using Delta Lake over standard Parquet files in Databricks?
5A data analyst is troubleshooting a performance issue in a notebook. The query runs slowly when processing a large table. Which approach should the analyst take to improve performance?
6Refer to the exhibit. What is the most appropriate action to resolve this access issue?
7A data analyst needs to ensure that sensitive information in a table is not visible to unauthorized users. Which Unity Catalog feature is the most efficient way to achieve this at the row level?
8What is the primary function of the 'Databricks Assistant' within the notebook environment?
9Which TWO of the following are true regarding Databricks SQL Warehouses?
10An analyst needs to combine data from a Delta table in the 'dev' catalog with a CSV file uploaded to a volume. Which feature allows the analyst to manage both in a single query?
11Which Databricks feature provides a detailed, lineage-based view of how data flows from source to destination?
12A data analyst needs to perform ad-hoc SQL queries on a large dataset while ensuring the compute resources automatically terminate when idle to minimize costs. Which compute resource is most appropriate for this task?
13Which TWO of the following statements accurately describe the relationship between Databricks SQL Warehouses and Delta Lake?
14Refer to the exhibit. A data analyst attempts to run a query in the SQL editor but receives the error displayed. Which action should the administrator take to resolve this?
15What is the primary purpose of the Databricks Catalog Explorer?
16Which THREE features are provided by Unity Catalog to enhance data governance?
17Which Databricks component is the primary interface for collaborative, interactive data analysis and visualization?
18A data analyst is working in a notebook and notices that the query results are inconsistent compared to an earlier run, despite no code changes. What is the most likely cause?
19Refer to the exhibit. An analyst receives this error when attempting to query a table. Which step should they take to fix this?
20When sharing an analysis with stakeholders, what is the best practice for ensuring they can view the results without needing access to the underlying raw data?
21A data analyst needs to share a notebook with a colleague who should be able to run the code but not modify it. Which permission level should the analyst grant to the colleague?
22A Databricks workspace administrator wants to optimize costs and manage resources effectively. Which TWO of the following capabilities allow for automatic cluster termination and scaling?
23Which component of the Databricks platform acts as the central entry point for users to manage their data, notebooks, and experiments?
24Refer to the exhibit. An analyst is reviewing a cluster configuration JSON. If the cluster is currently idle, what happens after 40 minutes of inactivity?
25An analyst opens the Databricks SQL editor and wants to browse the tables available in the workspace's Unity Catalog metastore before writing a query. Which workspace object should the analyst use to navigate catalogs, schemas, and tables?
26A data analyst needs to run a scheduled SQL query every morning and deliver the result to a finance team as a CSV file in cloud storage. The query logic is already tested in a Databricks SQL query. Which Databricks capability should the analyst use to automate this delivery?
27A data analyst at a retail company has been asked to build interactive sales reports that refresh automatically each morning and can be shared with regional managers. The analyst wants to use Databricks SQL to create queries, schedule them, and publish visualizations without writing notebook code. Which Databricks component should the analyst use to accomplish this?
28A 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?
29A data analyst needs to query a table that contains sensitive customer financial data. Company policy requires that analysts see only masked values for account numbers in query results, and the masking must apply regardless of which tool or user queries the table. Which Databricks capability should be used to enforce this consistently at the data layer?
30A data analyst is new to a Databricks workspace and needs to understand which compute options are available for running SQL and notebooks. Which TWO of the following statements accurately describe Databricks compute in this context? (Choose two.)
31An analyst runs a notebook against an all-purpose cluster and notices that the first cell, which reads a large Delta table, takes several minutes while subsequent similar queries finish quickly. The analyst wants to understand why this happens and ensure the same quick response on later runs. Which explanation best describes the underlying behavior?
32A data analyst has a notebook that reads a Delta table and produces summary statistics. The analyst wants colleagues to see the latest results in a dashboard without rerunning the notebook manually each time. Which Databricks capability should the analyst use to keep the dashboard current?
33A data analyst is new to a Databricks workspace and needs to work with data stored in Unity Catalog. The analyst wants to understand which statements about Unity Catalog are accurate. (Choose two.)
34An analyst wants to include a chart from a Databricks SQL query in a presentation and also allow stakeholders to explore the same query interactively later. Which two-part approach best fits this need?
35A data analyst joined a new Databricks workspace and sees a catalog named 'sales_prod' containing schemas 'bronze', 'silver', and 'gold'. The analyst needs to query only the 'gold' schema tables and must not see or query the 'bronze' or 'silver' tables. Which Unity Catalog object should the workspace administrator grant to satisfy this least-privilege requirement?
36A data analyst is building a dashboard in Databricks SQL and needs to give viewers the ability to change the date range and a region filter without editing the underlying query. The dashboard should refresh results based on the viewer's selections. Which feature should the analyst use?
37A data analyst needs to grant a colleague the ability to run an existing Databricks SQL query and view its results, but the colleague must not be able to edit the query text or change its schedule. The query is saved in the workspace. Which permission level should the analyst assign on the query object?
38A data analyst is querying a Unity Catalog managed table named sales in the analytics catalog and the marketing schema. A query fails with an error indicating the table cannot be found, even though the analyst can see the table in Catalog Explorer. The analyst is connected to a SQL Warehouse in the same workspace. Which action is most likely to resolve the access issue?
39A data analyst has a Databricks SQL dashboard that reads a table in the 'finance' catalog. The dashboard works for the analyst but shows an error for a colleague who has SELECT on the table. The colleague lacks USE CATALOG on 'finance' and USE SCHEMA on the containing schema. What is the most likely cause of the error the colleague sees?
40A data analyst is preparing to publish a Databricks SQL dashboard for a team of business users. The analyst wants the dashboard to load quickly and to remain usable as the underlying Delta table grows. Which two practices should the analyst follow? (Choose two.)
Be able to read a cluster configuration and state what happens when it goes idle, and identify which Databricks features handle autoscaling and automatic termination. The single most important thing: know that autotermination_minutes shuts down an idle cluster, while autoscaling only adjusts worker count.
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