Most Recent Databricks-Certified-Data-Analyst-Associate Exam Dumps

Prepare for the Databricks Certified Data Analyst Associate Exam exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Databricks-Certified-Data-Analyst-Associate exam and achieve success.

The questions for Databricks-Certified-Data-Analyst-Associate were last updated on Mar 30, 2025.

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Question No. 1

A data analyst needs to use the Databricks Lakehouse Platform to quickly create SQL queries and data visualizations. It is a requirement that the compute resources in the platform can be made serverless, and it is expected that data visualizations can be placed within a dashboard.

Which of the following Databricks Lakehouse Platform services/capabilities meets all of these requirements?

ADelta Lake

BDatabricks Notebooks

CTableau

DDatabricks Machine Learning

EDatabricks SQL
Databricks SQL is a serverless data warehouse on the Lakehouse that lets you run all of your SQL and BI applications at scale with your tools of choice, all at a fraction of the cost of traditional cloud data warehouses1.Databricks SQL allows you to create SQL queries and data visualizations using the SQL Analytics UI or the Databricks SQL CLI2.You can also place your data visualizations within a dashboard and share it with other users in your organization3.Databricks SQL is powered by Delta Lake, which provides reliability, performance, and governance for your data lake4.Reference:
Databricks SQL
Query data using SQL Analytics
Visualizations in Databricks notebooks
Delta Lake

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Correct Answer: E

Question No. 2

A data scientist has asked a data analyst to create histograms for every continuous variable in a data set. The data analyst needs to identify which columns are continuous in the data set.

What describes a continuous variable?

AA quantitative variable that never stops changing

BA quantitative variable Chat can take on a finite or countably infinite set of values

CA quantitative variable that can take on an uncountable set of values

DA categorical variable in which the number of categories continues to increase over time
A continuous variable is a type of quantitative variable that can assume an infinite number of values within a given range. This means that between any two possible values, there can be an infinite number of other values. For example, variables such as height, weight, and temperature are continuous because they can be measured to any level of precision, and there are no gaps between possible values. This is in contrast to discrete variables, which can only take on specific, distinct values (e.g., the number of children in a family). Understanding the nature of continuous variables is crucial for data analysts, especially when selecting appropriate statistical methods and visualizations, such as histograms, to accurately represent and analyze the data.

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Correct Answer: C

Question No. 3

Data professionals with varying titles use the Databricks SQL service as the primary touchpoint with the Databricks Lakehouse Platform. However, some users will use other services like Databricks Machine Learning or Databricks Data Science and Engineering.

Which of the following roles uses Databricks SQL as a secondary service while primarily using one of the other services?

ABusiness analyst

BSQL analyst

CData engineer

DBusiness intelligence analyst

EData analyst
Data engineers are primarily responsible for building, managing, and optimizing data pipelines and architectures. They use Databricks Data Science and Engineering service to perform tasks such as data ingestion, transformation, quality, and governance. Data engineers may use Databricks SQL as a secondary service to query, analyze, and visualize data from the lakehouse, but this is not their main focus.Reference:Databricks SQL overview,Databricks Data Science and Engineering overview,Data engineering with Databricks

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Correct Answer: C

Question No. 4

A data analyst creates a Databricks SQL Query where the result set has the following schema:

region STRING

number_of_customer INT

When the analyst clicks on the "Add visualization" button on the SQL Editor page, which of the following types of visualizations will be selected by default?

AViolin Chart

BLine Chart

CIBar Chart

DHistogram

EThere is no default. The user must choose a visualization type.
According to the Databricks SQL documentation, when a data analyst clicks on the ''Add visualization'' button on the SQL Editor page, the default visualization type isBar Chart. This is because the result set has two columns: one of type STRING and one of type INT. The Bar Chart visualization automatically assigns the STRING column to the X-axis and the INT column to the Y-axis. The Bar Chart visualization is suitable for showing the distribution of a numeric variable across different categories.Reference:Visualization in Databricks SQL,Visualization types

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Correct Answer: C

Question No. 5

A data team has been given a series of projects by a consultant that need to be implemented in the Databricks Lakehouse Platform.

Which of the following projects should be completed in Databricks SQL?

ATesting the quality of data as it is imported from a source

BTracking usage of feature variables for machine learning projects

CCombining two data sources into a single, comprehensive dataset

DSegmenting customers into like groups using a clustering algorithm

EAutomating complex notebook-based workflows with multiple tasks
Databricks SQL is a service that allows users to query data in the lakehouse using SQL and create visualizations and dashboards1.One of the common use cases for Databricks SQL is to combine data from different sources and formats into a single, comprehensive dataset that can be used for further analysis or reporting2.For example, a data analyst can use Databricks SQL to join data from a CSV file and a Parquet file, or from a Delta table and a JDBC table, and create a new table or view that contains the combined data3. This can help simplify the data management and governance, as well as improve the data quality and consistency.Reference:
Databricks SQL overview
Databricks SQL use cases
Joining data sources

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Correct Answer: C

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