Free Databricks Databricks-Certified-Data-Analyst-Associate Practice Test & Real Exam Questions

Exam Code/Number: Databricks-Certified-Data-Analyst-Associate
Exam Name/Title: Databricks Certified Data Analyst Associate Exam
Certification Provider: Databricks
Corresponding Certification: Data Analyst

Exam Questions: 118
Updated On: Aug 20, 2026

Question #8

A data analyst at an e-commerce company needs to process daily sales data. The data consists of approximately 50,000 records stored in a single CSV file, totaling about 20 MB. The analyst needs to perform aggregations and generate a summary report.
Which approach could the data analyst use in this situation?

A. Set up a Hadoop ecosystem with HDFS and MapReduce for distributed processing.

B. Deploy a real-time streaming solution using Spark Streaming to process incoming data.

C. Implement Apache Spark with a distributed cluster to process the data in parallel.

D. Use a local Python script with the pandas library to read and analyze the CSV file.

Discussion 0

Correct Answer: D Vote an answer

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Question #9

A database was created in Databricks SQL using the following statement:
CREATE SCHEMA accounting LOCATION ' dbfs:/accounting/data ' ;
Where will data for this database be stored?

A. dbfs:/accounting/data.db

B. dbfs:/accounting/data

C. dbfs:/user/hive/warehouse/accounting.db

D. dbfs:/accounting/data/accounting.db

Discussion 0

Correct Answer: B Vote an answer

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Question #10

Which of the following data workloads will utilize a Gold table as its source?

A. A job that ingests raw data from a streaming source into the Lakehouse.

B. A job that aggregates uncleaned data to create standard summary statistics.

C. A job that enriches data by parsing its timestamps into a human-readable format.

D. A job that queries aggregated data designed to feed into a dashboard.

E. A job that cleans data by removing malformatted records.

Discussion 0

Correct Answer: D Vote an answer

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Question #11

Which example of data projects represents a common analytics application to be completed in Databricks SQL?

A. Performing analysis-specific ETL on gold-layer tables

B. Monitoring the performance of deployed machine learning solutions

C. Predicting customer churn by automatically developing time-series models

D. Testing the latency of real-time streaming workloads

Discussion 0

Correct Answer: A Vote an answer

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Question #12

A data analyst is working on a DataFrame named dates_df and needs to add a new column, date, derived from the timestamp field.
Which code fragment should be used to extract the date from a timestamp?

A. dates_df.withColumn( " date " , f.date_format( " timestamp " , " yyyy-MM-dd " )).show()

B. dates_df.withColumn( " date " , f.unix_timestamp( " timestamp " )).show()

C. dates_df.withColumn( " date " , f.to_date( " timestamp " )).show()

D. dates_df.withColumn( " date " , f.from_unixtime( " timestamp " )).show()

Discussion 0

Correct Answer: C Vote an answer

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Question #13

A BI analyst is building an analytical data model in Databricks using Delta Lake tables. The source system contains transactional sales data that changes frequently. The analyst chooses to apply the Data Vault 2.0 methodology to manage historical changes while ensuring scalability and auditability across multiple business domains.
Which component is used to capture the many-to-many relationship between hubs in a Data Vault v2 model?

A. Hub Table

B. Link Table

C. Satellite Table

D. Reference Table

Discussion 0

Correct Answer: B Vote an answer

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