Quiz 2026 Databricks Databricks-Certified-Data-Analyst-Associate: Professional Valid Databricks Certified Data Analyst Associate Exam Exam Pattern

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

Section	Objectives
Topic 1: Data Management in Lakehouse	- Delta Lake fundamentals 1. ACID transactions and versioning 2. Table optimization concepts - Data ingestion and preparation 1. Batch and streaming ingestion concepts
Topic 2: Data Visualization and Dashboards	- Creating dashboards in Databricks SQL 1. Visualizing query results 2. Dashboard configuration and sharing
Topic 3: Data Governance and Security	- Access control and permissions 1. Unity Catalog basics 2. Row-level and column-level security concepts
Topic 4: Databricks SQL and SQL Analytics	- Querying data using SQL in Databricks 1. SELECT statements and filtering data 2. Joins and aggregations - Data transformation and analysis 1. Common table expressions (CTEs) 2. Window functions

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Databricks Certified Data Analyst Associate Exam Sample Questions (Q28-Q33):

NEW QUESTION # 28
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) AS number_of_orders
FROM customers
JOIN orders
ON customers.customer_id = orders.customer_id
GROUP BY customer_name;
B. SELECT customerjiame, (order_id) number_of_orders
FROM customers
JOIN orders
ON customers.customer_id = orders.customer_id;
C. SELECT customerjiame, count(order_id)
FROM customers
JOIN orders
ON customers.customer_id = orders.customer_id GROUP BY customerjiame;
D. SELECT customer_name, count(order_id) number_of_orders
FROM customers
JOIN orders
ON customers.customer_id = orders.customer_id USE customer_name;

Answer: A

NEW QUESTION # 29
A data analyst has created a user-defined function using the following line of code:
CREATE FUNCTION price(spend DOUBLE, units DOUBLE)
RETURNS DOUBLE
RETURN spend / units;
Which of the following code blocks can be used to apply this function to the customer_spend and customer_units columns of the table customer_summary to create column customer_price?

A. SELECT price(customer_spend, customer_units) AS customer_price FROM customer_summary
B. SELECT function(price(customer_spend, customer_units)) AS customer_price FROM customer_summary
C. SELECT double(price(customer_spend, customer_units)) AS customer_price FROM customer_summary
D. SELECT price FROM customer_summary
E. SELECT PRICE customer_spend, customer_units AS customer_price FROM customer_summary

Answer: A

Explanation:
A user-defined function (UDF) is a function defined by a user, allowing custom logic to be reused in the user environment1. To apply a UDF to a table, the syntax is SELECT udf_name(column_name) AS alias FROM table_name2. Therefore, option E is the correct way to use the UDF price to create a new column customer_price based on the existing columns customer_spend and customer_units from the table customer_summary. References:
* What are user-defined functions (UDFs)?
* User-defined scalar functions - SQL
V

NEW QUESTION # 30
Which of the following approaches can be used to ingest data directly from cloud-based object storage?

A. Create an external table while specifying the DBFS storage path to PATH
B. Create an external table while specifying the object storage path to FROM
C. It is not possible to directly ingest data from cloud-based object storage
D. Create an external table while specifying the DBFS storage path to FROM
E. Create an external table while specifying the object storage path to LOCATION

Answer: E

Explanation:
External tables are tables that are defined in the Databricks metastore using the information stored in a cloud object storage location. External tables do not manage the data, but provide a schema and a table name to query the data. To create an external table, you can use the CREATE EXTERNAL TABLE statement and specify the object storage path to the LOCATION clause. For example, to create an external table named ext_table on a Parquet file stored in S3, you can use the following statement:
SQL
CREATE EXTERNAL TABLE ext_table (
col1 INT,
col2 STRING
)
STORED AS PARQUET
LOCATION 's3://bucket/path/file.parquet'
AI-generated code. Review and use carefully. More info on FAQ.

NEW QUESTION # 31
What does Partner Connect do when connecting Power Bl and Tableau?

A. Downloads a configuration file for connection by Power Bl or Tableau to a SQL Warehouse (formerly known as a SQL Endpoint).
B. Creates a Personal Access Token for authentication into Databricks SQL and emails it to you.
C. Creates a Personal Access Token. downloads and installs an ODBC driver, and downloads a configuration file for connection by Power Bl or Tableau to a SQL Warehouse (formerly known as a SQL Endpoint).
D. Downloads and installs an ODBC driver.

Answer: C

Explanation:
When connecting Power BI and Tableau through Databricks Partner Connect, the system automates several steps to streamline the integration process:
Personal Access Token Creation: Partner Connect generates a Databricks personal access token, which is essential for authenticating and establishing a secure connection between Databricks and the BI tools.
ODBC Driver Installation: The appropriate ODBC driver is downloaded and installed. This driver facilitates communication between the BI tools and Databricks, ensuring compatibility and optimal performance.
Configuration File Download: A configuration file tailored for the selected BI tool (Power BI or Tableau) is provided. This file contains the necessary connection details, simplifying the setup process within the BI tool.
By automating these steps, Partner Connect ensures a seamless and efficient integration, reducing manual configuration efforts and potential errors.

NEW QUESTION # 32
A data analyst has been asked to produce a visualization that shows the flow of users through a website.
Which of the following is used for visualizing this type of flow?

A. Sankey
B. Heatmap
C. Pivot Table
D. Word Cloud
E. IChoropleth

Answer: A

Explanation:
A Sankey diagram is a type of visualization that shows the flow of data between different nodes or categories. It is often used to represent the movement of users through a website, as it can show the paths they take, the sources they come from, the pages they visit, and the outcomes they achieve. A Sankey diagram consists of links and nodes, where the links represent the volume or weight of the flow, and the nodes represent the stages or steps of the flow. The width of the links is proportional to the amount of flow, and the color of the links can indicate different attributes or segments of the flow. A Sankey diagram can help identify the most common or popular user journeys, the bottlenecks or drop-offs in the flow, and the opportunities for improvement or optimization. Reference: The answer can be verified from Databricks documentation which provides examples and instructions on how to create Sankey diagrams using Databricks SQL Analytics and Databricks Visualizations. Reference links: Databricks SQL Analytics - Sankey Diagram, Databricks Visualizations - Sankey Diagram

NEW QUESTION # 33
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