Databricks Certified Data Analyst Associate Sample Questions -DADA‑001 ( 2026 )

Prepare confidently for the Databricks Certified Data Analyst Associate exam with our curated set of Databricks Certified Data Analyst Associate Sample Questions based on the DADA‑001 certification. These questions help you gain hands-on familiarity with exam topics and are perfect for candidates practicing with databricks data analyst certification dumps, DADA‑001 exam questions, or those reviewing Databricks Certified Data Analyst Associate exam questions. Whether you're using mock tests or exploring key concepts from the Databricks data analyst associate certification, this resource ensures focused, real-world preparation.

Databricks Certified Data Analyst Associate Sample Questions List :

1. A data analyst needs to ingest a directory of CSV files that all share the same schema. Which method is most appropriate in Databricks SQL?

1. Auto Loader

2. Small-file upload

3. Partner Connect

4. Directory ingestion

2. Which Databricks SQL option allows uploading a single file for lightweight ingestion without using object storage?

1. Small-file upload

2. Partner Connect

3. Materialized view

4. Workspace token

3. A stakeholder requests regular dashboard updates without running the query each time. What feature should be configured?

1. Scheduled refresh

2. Run-as-owner credentials

3. Alert rule

4. Dashboard parameter

4. Which Delta table type retains its data even after executing DROP TABLE?

1. Streaming table

2. External table

3. Temporary view

4. Managed table

5. Which interface allows users to view table schema, data types, and descriptions from the Query Editor?

1. Schema Browser

2. Catalog Viewer

3. Data Explorer

4. Query Manager

6. A table was created using a custom S3 path. What clause was used during creation?

1. LOCATION

2. CREATE AS

3. PARTITIONED BY

4. STORAGE FORMAT

7. A user wants to populate a dropdown list with product categories from a lookup table. Which input type supports this?

1. Query-based dropdown

2. Static dropdown

3. Default filter

4. Text input

8. Where can a data analyst view and modify permissions for a table?

1. Query Editor

2. Catalog Manager

3. Warehouse Settings

4. Data Explorer

9.  An analyst loads a small reference CSV to enrich a dashboard. Which ingestion method should be used?

1. Small-file upload

2. Notebook import

3. Auto Loader

4. Delta Live Table

10. What type of Databricks SQL object persists only for the current session?

1. Temp view

2. Materialized view

3. Managed table

4. External table

11. What key advantage does using a SQL warehouse in serverless mode provide?

1. Longer session limits

2. Faster startup with no cluster tuning

3. Supports external metadata access

4. Requires Scala knowledge

12. Which tool allows assigning access rights on a column-level in Unity Catalog?

1. Row Filter Policy

2. Schema Browser

3. Attribute-based access control

4. Data Profile Viewer

13. Which dashboard feature allows a SQL alert to be triggered when revenue drops below a threshold?

1. Warehouse alarm

2. Visualization rule

3. SQL alert

4. Conditional chart

14. A user loads a table and wants to view the number of file versions it has. Which command should they use?

1. VIEW SNAPSHOT

2. SHOW SCHEMAS

3. DESCRIBE TABLE

4. SHOW HISTORY

15. A team wants to integrate Tableau to build external reports on the Lakehouse. Which Databricks SQL capability supports this?

1. Notebook exports

2. Delta Sharing

3. Partner Connect

4. MLflow

16. Which clause enables creating a new table with schema inference from a query?

1. OPTIMIZE

2. CREATE OR REPLACE VIEW

3. MERGE INTO

4. CREATE TABLE AS SELECT

17. A query fails on dashboard refresh due to user permission errors. What feature helps resolve this?

1. Convert to materialized view

2. Turn off filters

3. Assign role as admin

4. Enable owner refresh

18. Which table type is stored entirely within the DBFS root folder and managed by Databricks?

1. External

2. Managed

3. Materialized

4. Temporary

19. How can analysts reuse common filter logic across multiple dashboards or queries?

1. SQL Alert

2. Query snippet

3. Parameter override

4. Temp view

20. What privilege does a table owner have by default?

1. Change table schema and permissions

2. Access Unity Catalog audit logs

3. Assign warehouse

4. Schedule refresh

21. What advantage does Unity Catalog bring to managing table metadata?

1. Isolated permissions

2. Central governance and lineage

3. Manual tracking via logs

4. Schema-on-read support

22. An analyst wants to count rows grouped by product and store with all combinations. Which SQL feature enables this?

1. PARTITION

2. GROUP BY

3. CUBE

4. UNION

23. Which SQL clause returns aggregate totals at multiple grouping levels, such as region and country?

1. CUBE

2. PARTITION BY

3. ROLLUP

4. GROUP BY

24. Which clause is used in window functions to restart calculations for each category?

1. GROUP BY

2. HAVING

3. ORDER BY

4. PARTITION BY

25. What SQL function assigns a unique rank value starting at 1 within each partition?

1. AVG()

2. DENSE_RANK()

3. ROW_NUMBER()

4. NTILE

26. Which function transforms a JSON array column into individual rows?

1. FILTER

2. EXPLODE

3. FLATTEN

4. TRANSFORM

27. A query returns too many rows due to missing filters. Which technique prevents this?

1. Using ROLLUP

2. CACHE result

3. Query snippet

4. LIMIT clause

28. Which function transforms nested struct arrays into a flat table structure?

1. UNION

2. MAP

3. JOIN

4. FLATTEN

29. Which keyword allows you to write conditional expressions in SQL queries?

1. WHEN

2. CHECK

3. IF

4. CASE

30. What clause enables filtering after aggregate functions like SUM or COUNT?

1. HAVING

2. PARTITION BY

3. WHERE

4. ORDER BY

31. Which SQL statement updates existing values conditionally in a Delta table?

1. UPDATE

2. TRUNCATE

3. MERGE INTO

4. ALTER

32. Which function returns a value from the next row in a partition?

1. NTILE()

2. LEAD()

3. FIRST()

4. RANK()

33. Which SQL operation is used to compare and filter rows existing in one table but not another?

1. EXCEPT

2. LEFT JOIN

3. UNION

4. ANTI JOIN

34. Which SQL standard does Databricks SQL closely follow for query structure?

1. T-SQL

2. ANSI SQL

3. MySQL

4. PL/SQL

35. Which SQL feature helps make code reusable and organized in complex queries?

1. UDF

2. Snippet

3. CTE

4. Subquery

36. What higher-order function filters array elements using a condition?

1. SELECT

2. JOIN

3. EXPL ODE

4. FILTER

37. What type of variable is represented by 'Excellent', 'Good', 'Average', and 'Poor'?

1. Nominal

2. Ratio

3. Interval

4. Ordinal

38. Which visualization type is best for showing multiple metrics across dimensions like time and category?

1. Counter

2. Pivot table

3. Histogram

4. Line chart

39. Which operation is part of last-mile ETL?

1. Delta format conversion

2. Data warehouse export

3. Initial staging

4. Final dashboard-specific calculation

40. A stakeholder wants to interactively select a region in a dashboard and see metrics update. What feature enables this?

1. Cross-filtering

2. Dashboard cache

3. Query snippet

4. Auto-refresh

41. An analyst joins customer transactions with marketing campaign data. What type of blending is this?

1. Data blending

2. Concatenation

3. Feature selection

4. Sampling

42. Which setting ensures dashboard refreshes even when the viewer has no access to the table?

1. Dashboard alert

2. Run as owner

3. Auto loader

4. External warehouse

43. A data analyst is deciding between Databricks SQL and a third-party BI tool for developing dashboards. The data involved is large and stored in Delta format within the Lakehouse. When is it advantageous to use Databricks SQL?

1. When data transformations are performed on small JSON files

2. When visualizations need advanced branding

3. When large data transformations are required inside the dashboard

4. When the dashboard needs external embedding options

5. When data must be exported for offline reporting

44. A stakeholder wants a visualization that updates hourly. What should be configured?

1. Dynamic parameter

2. Auto layout

3. Scheduled refresh

4. SQL alert

45. A stakeholder requests access to a dashboard created in Databricks SQL. The analyst wants them to view the dashboard but not modify queries. What is the simplest way to enable this?

1. Share the dashboard link and enable public editing

2. Grant them admin privileges on the workspace

3. Share with viewer permission and run with owner’s credentials

4. Export the dashboard to PowerPoint

5. Enable scheduled PDF export

46. Which feature allows dashboard input fields to be generated based on the result of a SQL query?

1. Query snippet

2. Cross-filtering

3. Static parameter

4. Query-based dropdown

47. A data analyst is creating a new SQL dashboard. They want the dashboard to always show up-to-date data. What should they do?

1. Use Partner Connect to link with Power BI

2. Refresh the dashboard manually every morning

3. Schedule automatic refresh in the dashboard settings

4. Attach the dashboard to a Lakehouse alert

5. Enable refresh in the visualization editor

48. What visualization is best for showing KPI values like total revenue or conversion rate?

1. Gauge

2. Scatter plot

3. Line chart

4. Counter

49. A junior data analyst is exploring Databricks SQL for the first time. Where can they go to browse table structures and column names in the current catalog?

1. Notebook sidebar

2. Workspace settings

3. Query Editor Schema Browser

4. Dashboard editor panel

5. Visualization tab

50. Which feature triggers an email or webhook when a threshold is crossed in query results?

1. Query cache

2. Alert

3. Data Explorer

4. Counter

51. A company needs a quick-start SQL environment for analysts that avoids cluster management. Which Databricks SQL option should they choose?

1. High concurrency cluster

2. Serverless SQL warehouse

3. Legacy notebook-based cluster

4. Photon-optimized job cluster

5. Delta Live Table

52. What happens when a dashboard is refreshed but the underlying SQL warehouse is stopped?

1. Dashboard switches to backup

2. Results are loaded from cache

3. Warehouse auto-restarts

4. Query fails to run

53. A data analyst needs to ingest a folder of CSV files stored in S3. All files have the same schema. Which Databricks SQL capability helps here?

1. Notebook import

2. Manual upload

3. Directory-based ingestion of same-type files

4. Query history caching

5. Alert-based refresh

54. Which formatting feature helps visually distinguish low vs high values in a table chart?

1. Conditional formatting

2. Warehouse highlighting

3. Query-based filter

4. SQL colors

55. An analyst is preparing a dashboard based on gold-level data. According to the medallion architecture, what does the gold layer represent?

1. Raw ingested data

2. Semi-processed data with business rules

3. Cleaned, analytics-ready data

4. Archived transactional data

5. Audit logs from Data Explorer

56. Which metric describes the peakedness of a distribution?

1. Standard deviation

2. Range

3. Kurtosis

4. Skewness

57. A stakeholder asks an analyst to integrate Salesforce data into Databricks. What feature helps make this integration quick and easy?

1. Unity Catalog

2. Custom Python connector

3. Partner Connect

4. SQL alert rule

5. Dashboard iframe

58. A team adds ZIP code demographics to customer records. What is this process called?

1. Data enrichment

2. Label encoding

3. Data reduction

4. Normalization

59. An analyst wants to import a small reference table from a CSV file into Databricks SQL for lookups. What is the best approach?

1. Use Delta Live Tables

2. Enable DBFS ingestion

3. Use small-file upload

4. Use stream ingestion

5. Write a UDF

60. A senior analyst explains that dashboards are best used to visualize multiple SQL results together. What describes this feature of Databricks SQL?

1. Dashboards visualize only tables

2. Dashboards allow query and notebook mix

3. Dashboards combine multiple query results in one view

4. Dashboards replace alerts

5. Dashboards don’t support visual formatting

61. A data engineer creates two tables: one without specifying a LOCATION and one with a LOCATION pointing to an S3 bucket. How can a data analyst distinguish which is managed?

1. The managed table will be in Unity Catalog by default

2. The managed table stores data outside of Databricks

3. The managed table will delete its data when dropped

4. The unmanaged table cannot be queried

5. Both tables behave the same way

62. Which SQL feature is best used for time-based moving averages or ranking?

1. JOIN

2. ROLLUP

3. MERGE

4. Window functions

5. DATEPART

63. An analyst wants to retrieve metadata and statistics for a Delta table. What command should they use?

1. SHOW TABLE STATS tablename

2. DESCRIBE EXTENDED tablename

3. DESCRIBE DETAIL tablename

4. SELECT * FROM metadata.tablename

5. EXPLAIN tablename

64. Which SQL clause ensures that only rows where the aggregation exceeds a threshold are returned?

1. WHERE

2. GROUP BY

3. HAVING

4. ORDER BY

5. DISTINCT

65. A data analyst notices a view is no longer available after logging out. What likely explains this?

1. The view was dropped by an admin

2. It was created with a session-limited temp view

3. Unity Catalog expired

4. The view referenced an invalid column

5. The data was purged

66. A user wants total revenue by region and also a total across all regions in one query. Which function helps?

1. ROLLUP

2. JOIN

3. UNION

4. GROUP BY ALL

5. CUBE

67. A stakeholder requests a backup of changes made to a Delta table last week. Which feature helps here?

1. Z-ordering

2. Schema enforcement

3. Partitioning

4. Time Travel

5. View logging

68. Which JOIN type returns only rows with matching keys in both tables?

1. FULL OUTER JOIN

2. LEFT JOIN

3. INNER JOIN

4. CROSS JOIN

5. ANTI JOIN

69. A team is setting up table access policies. What tool allows them to assign permissions in Databricks SQL?

1. Visualization Editor

2. Partner Connect

3. Data Explorer

4. Query Editor

5. Workspace Admin Panel

70. A data analyst frequently runs the same queries. Which Databricks SQL feature helps reduce latency?

1. Alert rules

2. Materialized views

3. Query caching

4. Temp views

5. Schema browser

71. An analyst is asked to create a view with business logic used across many dashboards. What kind of view should they use?

1. Temp view

2. Materialized view

3. Cached table

4. Persistent view

5. Parameterized query

72. A team wants to enforce SQL compatibility across platforms. What’s a key benefit of using ANSI SQL in the Lakehouse?

1. Better performance

2. Allows Python code in SQL

3. Supports nested joins

4. Portability across systems

5. Faster execution on large data

73. Which feature of Delta Lake ensures schema consistency even when data evolves over time?

1. Time Travel

2. Z-Ordering

3. Schema Enforcement and Evolution

4. Triggers

5. Auto Loader

74. A data analyst needs to visualize the trend of product sales over the past 12 months. Which visualization type should they choose?

1. Pivot table

2. Bar chart

3. Line chart

4. Counter

5. Pie chart

75. Which metadata feature allows users to preview and secure datasets within the workspace?

1. Query Editor

2. Data Explorer

3. Cluster Manager

4. Workspace Settings

5. Unity Graph

76. An analyst is designing a dashboard for executives and wants to highlight the company’s total revenue. Which visualization is most appropriate?

1. Line chart

2. Table

3. Pivot

4. Counter

5. Box plot

77. A data analyst needs to display the average order value per region from a sales table. Which SQL clause ensures correct grouping for aggregation?

1. WHERE

2. HAVING

3. ORDER BY

4. GROUP BY

5. DISTINCT

78. A user configures a dashboard with dropdowns that change based on values returned by another query. What is this feature called?

1. Query filter

2. Dashboard parameter

3. Query-based dropdown list

4. Variable injection

5. Dynamic filter

79. A Databricks SQL query returns multiple rows per customer. The analyst wants to assign a unique row number to each customer’s purchase sorted by date. Which function should they use?

1. ROW_NUMBER()

2. COUNT()

3. SUM()

4. CUBE()

5. DISTINCT()

80. Which Databricks SQL feature allows an analyst to control when a dashboard's data is automatically updated?

1. Auto cache

2. Alert rule

3. Scheduled refresh

4. View config

5. Query history

81. Which statement accurately compares MERGE INTO, INSERT INTO, and COPY INTO in Databricks?

1. MERGE is used only with external tables

2. INSERT INTO allows updates and inserts

3. COPY INTO loads files into tables, MERGE allows conditional updates

4. INSERT INTO is faster than COPY INTO

5. MERGE only supports Delta Lake tables

82. A stakeholder wants to receive an email if total revenue drops below $1 million. Which feature should the analyst use?

1. Dashboard parameter

2. Visualization rule

3. SQL alert

4. Cluster event

5. Auto loader

83. A query includes nested JSON columns. Which Databricks SQL capability allows accessing this data directly?

1. Flattening function

2. Nested SELECT

3. Dot notation and field extraction

4. View-based join

5. Schema enforcement

84. An analyst changes font sizes and colors in a dashboard to emphasize important values. What benefit does this offer?

1. Faster performance

2. Improved alerting

3. Better readability and data storytelling

4. Better SQL optimization

5. Query consolidation

85. What happens if a dashboard’s refresh schedule is more frequent than the SQL warehouse's auto-stop timeout?

1. Refreshes fail once warehouse stops

2. Warehouse stays open indefinitely

3. No effect

4. Visuals become static

5. Dashboard switches to temp view mode

86. How can a user schedule automatic updates for a dashboard?

1. Configure a refresh schedule on the dashboard

2. Set an endpoint to autoload

3. Use `AUTORUN` SQL keyword

4. Only possible with notebooks

FAQs

1. What is Databricks Certified Data Analyst Associate certification?

It is a certification that validates your ability to use Databricks SQL to query and transform data in the Databricks Lakehouse Platform.

2. Who should take the Databricks Certified Data Analyst Associate exam?

Aspiring data analysts, business analysts, and SQL professionals working with Databricks.

3. Is the Databricks Data Analyst Associate certification worth it?

Yes, it helps demonstrate your data analysis skills and boosts career prospects in analytics and business intelligence.

4. What are the benefits of Databricks Data Analyst Associate certification?

Benefits include industry recognition, improved job opportunities, and foundational knowledge in Databricks SQL.

5. How recognized is Databricks Certified Data Analyst Associate in the industry?

It is well-recognized in industries that use Databricks for analytics and big data processing.

6. How many questions are in the Databricks Data Analyst Associate exam?

The exam consists of 45 multiple-choice questions.

7. What is the format of the Databricks Certified Data Analyst Associate exam?

It is a proctored, online exam with multiple-choice and multiple-select questions.

8. How difficult is the Databricks Certified Data Analyst Associate exam?

It is moderately difficult, requiring good SQL knowledge and familiarity with Databricks.

9. What is the duration of the Databricks Data Analyst Associate exam?

The total duration is 90 minutes.

10. What topics are covered in the Databricks Certified Data Analyst Associate exam?

Topics include SQL functions, data transformation, Databricks SQL dashboards, and query optimization.

11. How do I prepare for Databricks Certified Data Analyst Associate certification?

You can prepare using CertiMaan’s sample questions and Databricks’ official learning paths and documentation.

12. What are the best study materials for Databricks Data Analyst Associate exam?

CertiMaan offers targeted mock exams. Databricks provides self-paced courses, notebooks, and sample assessments.

13. Are there free practice tests for Databricks Data Analyst Associate certification?

Yes, CertiMaan and Databricks both offer sample questions and resources for exam preparation.

14. Can I pass the Databricks Data Analyst Associate exam without experience?

Yes, with consistent study and the right practice materials, even beginners can pass.

15. Does CertiMaan offer dumps or mock tests for Databricks Data Analyst Associate?

Yes, CertiMaan provides high-quality dumps, practice tests, and exam simulations tailored for this certification.

16. What is the cost of Databricks Certified Data Analyst Associate certification?

The exam costs $200 USD.

17. Are there any prerequisites for the Databricks Data Analyst Associate exam?

No formal prerequisites, but understanding SQL and Databricks basics is recommended.

18. How do I register for the Databricks Certified Data Analyst Associate exam?

You can register on the official Databricks certification portal.

19. Can I reschedule or cancel my Databricks Data Analyst Associate exam?

Yes, you can reschedule or cancel up to 24 hours before the exam through the exam vendor’s portal.

20. What is the passing score for Databricks Data Analyst Associate exam?

The passing score is 70%.

21. How is the Databricks Certified Data Analyst Associate exam scored?

It is automatically scored, and results are displayed immediately after completion.

22. How long is the Databricks Data Analyst Associate certification valid?

It is valid for 2 years from the date of certification.

23. Can I retake the Databricks Certified Data Analyst Associate exam if I fail?

Yes, you can retake the exam after a 14-day waiting period.

24. What is the average salary after Databricks Data Analyst Associate certification?

Certified professionals earn an average of $90,000 to $115,000 annually depending on location and experience.

25. What jobs can I get with Databricks Certified Data Analyst Associate?

You can pursue roles such as Data Analyst, BI Analyst, SQL Analyst, and Junior Data Engineer.

26. Do employers value the Databricks Certified Data Analyst Associate credential?

Yes, it demonstrates practical analytics and SQL skills within the Databricks ecosystem.

27. Does Databricks hire Data Analyst Associate certified professionals?

Yes, and so do many companies using Databricks as part of their data infrastructure.

28. Is Databricks Certified Data Analyst Associate good for beginners?

Yes, it's suitable for beginners with a basic understanding of SQL and data analysis.

29. What is the difference between Databricks Data Analyst and Data Engineer certification?

The Data Analyst focuses on querying and reporting using SQL, while Data Engineer covers advanced ETL, pipelines, and data infrastructure.