Databricks Databricks-Certified-Data-Analyst-Associate valid dump torrent : Databricks Certified Data Analyst Associate Exam

  • Exam Code: Databricks-Certified-Data-Analyst-Associate
  • Exam Name: Databricks Certified Data Analyst Associate Exam
  • Updated: Oct 19, 2026
  • Q&As: 118 Questions and Answers

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Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • SQL in the Lakehouse: It identifies a query that retrieves data from the database, the output of a SELECT query, a benefit of having ANSI SQL, access, and clean silver-level data. It also compares and contrasts MERGE INTO, INSERT TABLE, and COPY INTO. Lastly, this topic focuses on creating and applying UDFs in common scaling scenarios.
Topic 2
  • Data Visualization and Dashboarding: Sub-topics of this topic are about of describing how notifications are sent, how to configure and troubleshoot a basic alert, how to configure a refresh schedule, the pros and cons of sharing dashboards, how query parameters change the output, and how to change the colors of all of the visualizations. It also discusses customized data visualizations, visualization formatting, Query Based Dropdown List, and the method for sharing a dashboard.
Topic 3
  • Analytics applications: It describes key moments of statistical distributions, data enhancement, and the blending of data between two source applications. Moroever, the topic also explains last-mile ETL, a scenario in which data blending would be beneficial, key statistical measures, descriptive statistics, and discrete and continuous statistics.
Topic 4
  • Databricks SQL: This topic discusses key and side audiences, users, Databricks SQL benefits, complementing a basic Databricks SQL query, schema browser, Databricks SQL dashboards, and the purpose of Databricks SQL endpoints
  • warehouses. Furthermore, the delves into Serverless Databricks SQL endpoint
  • warehouses, trade-off between cluster size and cost for Databricks SQL endpoints
  • warehouses, and Partner Connect. Lastly it discusses small-file upload, connecting Databricks SQL to visualization tools, the medallion architecture, the gold layer, and the benefits of working with streaming data.
Topic 5
  • Data Management: The topic describes Delta Lake as a tool for managing data files, Delta Lake manages table metadata, benefits of Delta Lake within the Lakehouse, tables on Databricks, a table owner’s responsibilities, and the persistence of data. It also identifies management of a table, usage of Data Explorer by a table owner, and organization-specific considerations of PII data. Lastly, the topic it explains how the LOCATION keyword changes, usage of Data Explorer to secure data.

Reference: https://www.databricks.com/learn/certification/data-analyst-associate

Databricks Certified Data Analyst Associate Sample Questions:

Question #1

Which open-source project helps to enable the data lakehouse by adding organization, reliability, performance, and data governance to data lake architectures?

  • A. Delta Lake
  • B. MLflow
  • C. Databricks SQL
  • D. Apache Spark
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

A data analyst is working with a nested array column products in table transactions. The analyst wants to return the first item in the array for each row.
The data analyst is using the following incomplete command:
SELECT
transaction_id,
_____ AS first_product
FROM transactions;
Which line of code should the data analyst use to fill in the blank so that it successfully completes the task?

  • A. products.1
  • B. products.0
  • C. products[1]
  • D. products[0]
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #3

A data analyst wants the following output:
customer_name
number_of_orders
John Doe
388
Zhang San
234
Which statement will produce this output?

  • A. SELECT customer_name, count(order_id) number_of_ordersFROM customersJOIN ordersON customers.customer_id = orders.customer_id USE customer_name;
  • B. SELECT customerjiame, count(order_id)FROM customersJOIN ordersON customers.customer_id = orders.customer_id GROUP BY customerjiame;
  • C. SELECT customer_name, count(order_id) AS number_of_ordersFROM customersJOIN ordersON customers.customer_id = orders.customer_idGROUP BY customer_name;
  • D. SELECT customerjiame, (order_id) number_of_ordersFROM customersJOIN ordersON customers.
    customer_id = orders.customer_id;
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #4

A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day. They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.
Which of the following approaches could be used by the data engineering team to complete this task?

  • A. They could only run the entire program on Sundays.
  • B. They could wrap the queries using PySpark and use Python's control flow system to determine when to run the final query.
  • C. They could submit a feature request with Databricks to add this functionality.
  • D. They could automatically restrict access to the source table in the final query so that it is only accessible on Sundays.
  • E. They could redesign the data model to separate the data used in the final query into a new table.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

Which of the following commands will return the location of database customer360?

  • A. DESCRIBE LOCATION customer360;
  • B. USE DATABASE customer360;
  • C. ALTER DATABASE customer360 SET DBPROPERTIES ( ' location ' = ' /user ' );
  • D. DESCRIBE DATABASE customer360;
  • E. DROP DATABASE customer360;
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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