Prepare with Databricks : Databricks-Certified-Data-Analyst-Associate exam braindumps as your best preparation materials
Last Updated: Oct 29, 2026
No. of Questions: 118 Questions & Answers with Testing Engine
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Databricks Databricks-Certified-Data-Analyst-Associate Exam Overview:
| Certification Vendor: | Databricks |
|---|---|
| Exam Name: | Databricks Certified Data Analyst Associate Exam |
| Exam Number: | Databricks-Certified-Data-Analyst-Associate |
| Exam Duration: | 90 minutes |
| Exam Format: | Scenario-based questions, Multiple-choice |
| Exam Price: | $200 USD |
| Passing Score: | Approximately 70% (not officially disclosed) |
| Available Languages: | English |
| Real Exam Qty: | 45 |
| Certificate Validity Period: | 2 years |
| Recommended Training: | Databricks Academy - Data Analyst Associate Learning Path |
| Exam Registration: | Databricks Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or authorized test center |
| Pre Condition: | No mandatory prerequisites; recommended 6+ months hands-on experience in data analysis and SQL usage with Databricks |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-analyst-associate |
Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Creating Dashboards and Visualizations in Databricks | 16% | - Dashboard creation and layout - Scheduling and sharing dashboards - Filtering and interactivity - Visualization types and best practices |
| Topic 2: Data Modeling with Databricks SQL | 5% | - Performance-oriented modeling - Schema design principles - Delta table structure |
| Topic 3: Managing Data | 8% | - Unity Catalog usage - Data cleaning and preparation - Dataset versioning and management - Discovering and registering datasets |
| Topic 4: Analyzing Queries | 15% | - Performance optimization - Query history and auditing - Execution plans and analysis - Liquid clustering and indexing |
| Topic 5: Importing Data | 5% | - UI-based data ingestion - API and Auto Loader - S3 and cloud storage integration - Databricks Marketplace - Delta Sharing |
| Topic 6: Securing Data | 8% | - Secure storage and compliance - Access control and permissions - Data governance policies |
| Topic 7: Developing, Sharing, and Maintaining AI/BI Genie Spaces | 12% | - Access control and sharing - Maintenance and improvement - Genie space setup and configuration - Natural language query setup |
| Topic 8: Executing Queries using Databricks SQL and Databricks SQL Warehouses | 20% | - Warehouse configuration and performance - Creating and managing views - ANSI SQL syntax and functions - Aggregations and grouping - Joining and combining datasets |
| Topic 9: Understanding of Databricks Data Intelligence Platform | 11% | - Lakehouse platform fundamentals - Workspace navigation and interface - Core architecture and components |
Your Databricks Databricks-Certified-Data-Analyst-Associate Exam Questions, Answered
The Databricks Databricks-Certified-Data-Analyst-Associate exam, officially titled Databricks Certified Data Analyst Associate Exam, is the required test for earning the Databricks Certified Data Analyst Associate certification, a credential at the Associate level. Passing it validates the skills Databricks expects from certified professionals.
The Databricks-Certified-Data-Analyst-Associate exam includes 45 questions, and you have 90 minutes to complete it. Before exam day, divide the available time by the question count so you know the pace you need to hold, and practice flagging time-consuming items for review instead of stalling on a single question. Timed sessions in the BraindumpQuiz test engine are the easiest way to build that rhythm before it counts.
You need Approximately 70% (not officially disclosed) to pass the Databricks-Certified-Data-Analyst-Associate exam, and the official registration fee is $200 USD. Keep in mind that a failed attempt means paying that fee in full again for a retake, so avoid booking your seat on a hunch. Work through the BraindumpQuiz practice test until your scores sit comfortably above the passing requirement before you schedule the exam.
Databricks asks candidates to meet the following requirement before registering: No mandatory prerequisites; recommended 6+ months hands-on experience in data analysis and SQL usage with Databricks. Exam policies do change, so confirm the latest details on the official exam page at https://www.databricks.com/learn/certification/data-analyst-associate before you book.
You can book your seat through the official registration channels below:
The Databricks-Certified-Data-Analyst-Associate exam is delivered in the following format: Online proctored or authorized test center.
Databricks recommends the following official training for this exam:
A course builds the theory; practice turns it into exam-day performance. Once you finish a class, the 118 practice questions from BraindumpQuiz show you how the same knowledge appears in exam-style items.
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The Databricks Certified Data Analyst Associate exam is organized into 9 major domains. Some of the key domains include:
- Executing Queries using Databricks SQL and Databricks SQL Warehouses, accounting for 20% of the exam
- Importing Data, accounting for 5% of the exam
- Securing Data, accounting for 8% of the exam
Scroll up to the Exam Topics section for the complete breakdown, and use it to plan how much study time each domain deserves.
Databricks Certified Data Analyst Associate Sample Questions:
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?
- A. Option D
- B. ( spark.table( " sales " ) .withColumn( " avgPrice " , col( " sales " ) / col( " units " )) .writeStream .option ( " checkpointLocation " , checkpointPath) .outputMode( " append " ) .table( " newSales " ))
- C. ( spark.table( " sales " ) .withColumn( " avgPrice " , col( " sales " ) / col( " units " )) .writeStream .option ( " checkpointLocation " , checkpointPath) .outputMode( " append " ) .table( " newSales " ))
- D. ( spark.table( " sales " ) .filter(col( " units " ) > 0) .writeStream .option( " checkpointLocation " , checkpointPath) .outputMode( " append " ) .table( " newSales " ))
- E. Option C
- F. ( spark.readStream.load(rawSalesLocation) .writeStream .option( " checkpointLocation " , checkpointPath) .outputMode( " append " ) .table( " newSales " ))
- G. Option E
- H. Option B
- I. Option A
- J. ( spark.table( " sales " ) .groupBy( " store " ) .agg(sum( " sales " )) .writeStream .option( " checkpointLocation " , checkpointPath) .outputMode( " complete " ) .table( " newSales " ))
Correct Answer: J 🗳️
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A data analysis team has noticed that their Databricks SQL queries are running too slowly when connected to their always-on SQL endpoint. They claim that this issue is present when many members of the team are running small queries simultaneously. They ask the data engineering team for help. The data engineering team notices that each of the team's queries uses the same SQL endpoint.
Which of the following approaches can the data engineering team use to improve the latency of the team's queries?
- A. They can turn on the Auto Stop feature for the SQL endpoint.
- B. They can turn on the Serverless feature for the SQL endpoint.
- C. They can increase the maximum bound of the SQL endpoint's scaling range.
- D. They can turn on the Serverless feature for the SQL endpoint and change the Spot Instance Policy to
"Reliability Optimized." - E. They can increase the cluster size of the SQL endpoint.
Correct Answer: C 🗳️
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Which of the following is stored in the Databricks customer's cloud account?
- A. Data
- B. Databricks web application
- C. Notebooks
- D. Cluster management metadata
- E. Repos
Correct Answer: A 🗳️
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An analyst writes a query that contains a query parameter. They then add an area chart visualization to the query. While adding the area chart visualization to a dashboard, the analyst chooses " Dashboard Parameter " for the query parameter associated with the area chart.
Which of the following statements is true?
- A. The area chart will use whatever value is input by the analyst when the visualization is added to the dashboard. The parameter cannot be changed by the user afterwards.
- B. The area chart will use whatever value is chosen on the dashboard at the time the area chart is added to the dashboard.
- C. The area chart will convert to a Dashboard Parameter.
- D. The area chart will use whatever is selected in the Dashboard Parameter while all or the other visualizations will remain changed regardless of their parameter use.
- E. The area chart will use whatever is selected in the Dashboard Parameter along with all of the other visualizations in the dashboard that use the same parameter.
Correct Answer: E 🗳️
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Which of the following describes the relationship between Gold tables and Silver tables?
- A. Gold tables are more likely to contain truthful data than Silver tables.
- B. Gold tables are more likely to contain valuable data than Silver tables.
- C. Gold tables are more likely to contain more data than Silver tables.
- D. Gold tables are more likely to contain a less refined view of data than Silver tables.
- E. Gold tables are more likely to contain aggregations than Silver tables.
Correct Answer: E 🗳️
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