CERTIFIED-DATA-ANALYST-ASSOCIATE Real Exam Questions
Databricks Certified Data Analyst Associate. Everything you need to prepare, practice, and pass.
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Certification Overview
This exam heavily tests SQL query fundamentals: writing precise SELECT statements with WHERE filtering, combining tables via JOINs, aggregating data with GROUP BY and window functions, and transforming datasets through views and CTEs. Success requires both syntax accuracy and the ability to write efficient queries for real analytical problems.
What This Certification Proves
This certification validates proficiency in SQL querying, data aggregation, and analytical functions essential for data analysis on Databricks. It demonstrates the ability to write efficient SQL queries for data transformation, filtering, and analysis—core skills for anyone working with structured data in modern data platforms.
Who Should Take This Exam
Aspiring and junior data analysts (0-2 years experience), BI analysts transitioning to SQL-first roles, SQL developers looking to validate core competencies, and career-changers with SQL fundamentals who want credential recognition.
Study Plans
Choose a study plan that matches your schedule and experience level
30 Days
Intensive Sprint
Week 1-2
- Master fundamentals: Core concepts
- Read Databricks official documentation
- Complete 4 questions daily
Week 3
- Deep dive: Advanced topics
- Review weak areas from results
- Take 2 full-length exams
Week 4
- Review all flagged questions
- Timed exams to build stamina
- Final revision of key concepts
60 Days
Balanced Approach
Week 1-2
- Survey all exam domains
- Set up study environment
- Begin with foundational topics
Week 3-4
- Focus: Primary domain
- Focus: Secondary domain
- 2 questions daily
Week 5-6
- Focus: Remaining domains
- Hands-on labs if applicable
- Review explanations for wrong answers
Week 7-8
- Complete all 93 questions
- Identify and eliminate weak areas
- Take 3 full-length timed tests
90 Days
Comprehensive Study
Month 1
- Learn all exam domains at a comfortable pace
- Build strong foundational knowledge
- 2 questions daily
Month 2
- Deep dive into each domain
- Hands-on practice and labs
- Take weekly timed exams
Month 3
- Work through all 93 questions
- Identify and eliminate weak areas
- Take 3 full-length timed exams
CERTIFIED-DATA-ANALYST-ASSOCIATE-Specific Tips
- Master SQL JOIN syntax (INNER, LEFT, RIGHT, FULL) with practical exercises—joins appear heavily in real-world questions
- Deep dive into window functions (PERCENT_RANK, ROW_NUMBER, RANK) with OVER() clauses—these are common in modern analytics and often trip up test-takers
- Practice SQL aggregations with GROUP BY, HAVING, and multi-level grouping; focus on edge cases like NULL handling
- Drill CTEs (WITH clauses) and subqueries for data transformation tasks—the exam tests ability to break complex queries into readable steps
- Work through 50+ hands-on SQL problems on Databricks SQL editor or similar platform; passive reading won't prepare you for execution-based gotchas
- Review the 94 official practice questions at least twice; track which topics you struggle with and do targeted reps on those
- Understand performance basics: when to use DISTINCT vs GROUP BY, filter early (WHERE before aggregation), and why query order matters
Relevant Career Roles
Sample Questions
Try 5 free questions from the CERTIFIED-DATA-ANALYST-ASSOCIATE question bank
A managed table and an unmanaged (external) table were both created in Databricks SQL, and data were ingested into each table. Later, both tables were dropped. What is the status of data for each of those tables?
What is used as a compute resource for Databricks SQL?
Query History provides Databricks SQL users with a lot of benefits. A data analyst has been asked to share all of these benefits with their team as part of a training exercise. One of the benefit statements the analyst provided to their team is incorrect. Which statement about Query History is incorrect?
A data analyst created and is the owner of the managed table my_table. They now want to change ownership of the table to a single other user using Data Explorer. Which of the following approaches can the analyst use to complete the task?
Which of the following layers of the medallion architecture is most commonly used by data analysts?
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