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Databricks Certified Data Analyst Associate Exam Questions

Are you looking to successfully pass your Databricks Certified Data Analyst Associate Exam and enhance your knowledge in the process? PassQuestion offers a comprehensive collection of the most up-to-date Databricks Certified Data Analyst Associate Exam Questions that cover all the essential topics and concepts required for success in the exam. By studying these Databricks Certified Data Analyst Associate Exam Questions, you will be able to effectively prepare for your exam and give yourself the best chance of success. Take advantage of this valuable resource and boost your exam readiness with PassQuestion.

Databricks Certified Data Analyst Associate Certification

The Databricks Certified Data Analyst Associate certification exam assesses an individual's ability to use the Databricks SQL service to complete introductory data analysis tasks. This includes an understanding of the Databricks SQL service and its capabilities, an ability to manage data with Databricks tools following best practices, using SQL to complete data tasks in the Lakehouse, creating production-grade data visualizations and dashboards, and developing analytics applications to solve common data analytics problems. Individuals who pass this certification exam can be expected to complete basic data analysis tasks using Databricks SQL and its associated capabilities.


Databricks Certified Data Analyst Associate Exam Information

Type: Proctored certification

Total number of questions: 45

Time limit: 90 minutes

Registration fee: $200

Question types: Multiple choice

Test aides: None allowed

Languages: English

Delivery method: Online proctored

Prerequisites: None, but related training highly recommended

Recommended experience: 6+ months of hands-on experience performing the data analysis tasks outlined in the exam guide

Databricks Certified Data Analyst Associate Exam Objectives

Section 1: Databricks SQL – 22%


Section 2: Data Management – 20%


Section 3: SQL in the Lakehouse – 29%


Section 4: Data Visualization and Dashboarding – 18%


Section 5: Analytics applications – 11%


View Online Databricks Certified Data Analyst Associate Free Questions

1. A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every minute.

A data analyst has created a dashboard based on this gold-level data. The project stakeholders want to see the results in the dashboard updated within one minute or less of new data becoming available within the gold-level tables.

Which of the following cautions should the data analyst share prior to setting up the dashboard to complete this task?

A.The required compute resources could be costly

B.The gold-level tables are not appropriately clean for business reporting

C.The streaming data is not an appropriate data source for a dashboard

D.The streaming cluster is not fault tolerant

E.The dashboard cannot be refreshed that quickly

Answer: A

2. A data analyst has set up a SQL query to run every four hours on a SQL endpoint, but the SQL endpoint is taking too long to start up with each run.

Which of the following changes can the data analyst make to reduce the start-up time for the endpoint while managing costs?

A.Reduce the SQL endpoint cluster size

B.Increase the SQL endpoint cluster size

C.Turn off the Auto stop feature

D.Increase the minimum scaling value

E.Use a Serverless SQL endpoint

Answer: E

3. Which of the following statements about adding visual appeal to visualizations in the Visualization Editor is incorrect?

A.Visualization scale can be changed.

B.Data Labels can be formatted.

C.Colors can be changed.

D.Borders can be added.

E.Tooltips can be formatted.

Answer: D

4. In which of the following situations should a data analyst use higher-order functions?

A.When custom logic needs to be applied to simple, unnested data

B.When custom logic needs to be converted to Python-native code

C.When custom logic needs to be applied at scale to array data objects

D.When built-in functions are taking too long to perform tasks

E.When built-in functions need to run through the Catalyst Optimizer

Answer: C

5. A data analyst wants to create a dashboard with three main sections: Development, Testing, and Production. They want all three sections on the same dashboard, but they want to clearly designate the sections using text on the dashboard.

Which of the following tools can the data analyst use to designate the Development, Testing, and Production sections using text?

A.Separate endpoints for each section

B.Separate queries for each section

C.Markdown-based text boxes

D.Direct text written into the dashboard in editing mode

E.Separate color palettes for each section

Answer: C


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