Free Preparation Discussions
MENU
Databricks Certified Data Engineer Associate Exam Questions
- Topic 1: Databricks Lakehouse Platform: This topic covers the relationship between the data lakehouse and the data warehouse, the improvement in data quality, comparing and contrasting silver and gold tables, elements of the Databricks Platform Architecture, and differentiating between all-purpose clusters and jobs clusters. Moreover, it identifies how cluster software is versioned, how clusters can be filtered, how to use multiple languages, how to run one notebook, how notebooks can be shared, Git operations, and limitations in Databricks Notebooks. Lastly, the topic describes how clusters are terminated, how to use multiple languages, and how Databricks Repos enables CI/CD workflows.
- Topic 2: ELT with Apache Spark: It focuses on extracting data, identifying the prefix, creating a view, duplicating rows, creating a new table, utilizing the dot, parsing JSON, and defining a SQL UDF. Moreover, the topic delves into describing the security model, identifying the location of a function, and identifying the PIVOT.
- Topic 3: Incremental Data Processing: In this topic questions about identifying Delta Lake, benefits of ACID transactions, a scenario to use an external table, location of a table, the benefits of Zordering, the kind of files, CTAS as a solution, the impact of ON VIOLATION DROP ROW and ON VIOLATION FAIL UPDATE, and the necessary component to create a new DLT pipeline. Moreover, the topic also discusses directory structure of Delta Lake files, generated column, adding a table comment, and the benefits of the MERGE command.
- Topic 4: Production Pipelines: It focuses on identifying the advantages of using multiple tasks in Jobs, a suitable scenario where predecessor task should be set up, CRON as an opportunity for scheduling opportunity, and how an alert can be sent via email. The topic also discusses setting up a predecessor task in Jobs, reviewing a task's execution history, and debugging a failed task. Lastly, it delves into setting up a retry policy in case of failure and creating an alert in the case of a failed task.
- Topic 5: Data Governance: It identifies one of the four areas of data governance, Unity Catalog securables, and the cluster security modes. It also discusses how to create a UC-enabled all-purpose cluster and a DBSQL warehouse. The topic explains how to implement data object access control, create a DBSQL warehouse, and e a UC-enabled all-purpose cluster.
Free Databricks Databricks Certified Data Engineer Associate Exam Actual Questions
Note: Premium Questions for Databricks Certified Data Engineer Associate were last updated On Mar. 15, 2026 (see below)
A data engineer wants to schedule their Databricks SQL dashboard to refresh every hour, but they only want the associated SQL endpoint to be running when It is necessary. The dashboard has multiple queries on multiple datasets associated with it. The data that feeds the dashboard is automatically processed using a Databricks Job.
Which approach can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?
To minimize the total running time of the SQL endpoint used in the refresh schedule of a dashboard in Databricks, the most effective approach is to utilize the Auto Stop feature. This feature allows the SQL endpoint to automatically stop after a period of inactivity, ensuring that it only runs when necessary, such as during the dashboard refresh or when actively queried. This minimizes resource usage and associated costs by ensuring the SQL endpoint is not running idle outside of these operations.
Reference: Databricks documentation on SQL endpoints: SQL Endpoints in Databricks
Which option best SQL keywords can be used to convert a table from a long format to a wide format?
2:Reshaping Data - Long vs Wide Format | Databricks on AWS
5:TRANSFORM | Databricks on AWS
: [SUM | Databricks on AWS]
Which of the following describes when to use the CREATE STREAMING LIVE TABLE (formerly CREATE INCREMENTAL LIVE TABLE) syntax over the CREATE LIVE TABLE syntax when creating Delta Live Tables (DLT) tables using SQL?
A data engineer is attempting to drop a Spark SQL table my_table. The data engineer wants to delete all table metadata and data.
They run the following command:
DROP TABLE IF EXISTS my_table
While the object no longer appears when they run SHOW TABLES, the data files still exist.
Which of the following describes why the data files still exist and the metadata files were deleted?
A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.
They run the following command:
Which of the following lines of code fills in the above blank to successfully complete the task?
: In the given command, a data engineer is trying to create a table in Databricks using data from an SQLite database. The correct option to fill in the blank is ''sqlite'' because it specifies the type of database being connected to in a JDBC connection string. TheUSINGclause should be followed by the format of the data, and since we are connecting to an SQLite database, ''sqlite'' would be appropriate here.Reference:
Create a table using JDBC
JDBC connection string
SQLite JDBC driver
- Select Question Types you want
- Set your Desired Pass Percentage
- Allocate Time (Hours : Minutes)
- Create Multiple Practice tests with Limited Questions
- Customer Support
Corrinne
Stephaine
7 days agoJina
14 days agoJavier
22 days agoAnnamae
30 days agoEvangelina
1 month agoAmira
1 month agoCarman
2 months agoCarin
2 months agoMillie
2 months agoRolande
2 months agoTeri
3 months agoSuzi
3 months agoKenda
3 months agoMarcos
3 months agoCory
4 months agoTori
4 months agoLashawnda
4 months agoLeota
4 months agoJerry
5 months agoVilma
5 months agoAlexis
5 months agoNana
5 months agoLottie
6 months agoGermaine
6 months agoTom
6 months agoDean
7 months agoFidelia
7 months agoLeah
7 months agoSerina
8 months agoCordelia
8 months agoClaudia
9 months agoAvery
10 months agoCeola
11 months agoJanella
11 months agoClarence
12 months agoVan
1 year agoLeontine
1 year agoCordie
1 year agoJudy
1 year agoLucina
1 year agoColetta
1 year agoRosalind
1 year agoMing
1 year agoFlo
1 year agoMalcom
1 year agoMargart
1 year agoSherita
1 year agoHui
1 year agoVeronica
1 year agoWayne
1 year agoLuisa
1 year agoSheridan
1 year agoBulah
1 year agoLaura
1 year agoMelvin
1 year agoBlondell
1 year agoEmily
1 year agoFelice
1 year agoToi
1 year agoWilda
1 year agoTegan
1 year agoCarolann
2 years agoRikki
2 years agoTambra
2 years agoIn
2 years agoJoaquin
2 years agoYoulanda
2 years agoShanice
2 years agoAretha
2 years agoRhea
2 years agoKandis
2 years agoKindra
2 years agoFrance
2 years agoArlene
2 years agoMoira
2 years agoDiego
2 years ago