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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 Price: | $200 USD |
| Available Languages: | English |
| Related Certifications: | Databricks Certified Data Engineer Associate Databricks Certified Machine Learning Associate |
| Exam Format: | Multiple Choice |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 45 |
| Passing Score: | 70% |
| Certificate Validity Period: | 2 years |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or test center proctored |
| Pre Condition: | No formal prerequisites. Databricks recommends 6+ months of hands-on experience with data analysis and Databricks SQL. |
| 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 | 16% | - Visualization
|
| Topic 2: Analyzing Queries | 15% | - Query Analysis
|
| Topic 3: Securing Data | 8% | - Security and Access Control
|
| Topic 4: Data Modeling with Databricks SQL | 5% | - Modeling Concepts
|
| Topic 5: Managing Data | 8% | - Data Management
|
| Topic 6: Developing AI/BI Genie Spaces | 12% | - AI and BI Features
|
| Topic 7: Executing Queries Using Databricks SQL and SQL Warehouses | 20% | - SQL Querying
|
| Topic 8: Importing Data | 5% | - Data Import
|
| Topic 9: Understanding of Databricks Data Intelligence Platform | 11% | - Platform Components
|
Databricks-Certified-Data-Analyst-Associate Exam FAQ for IT Career Starters
Delivery is instant — payment triggers an automatic email within a minute, with unlimited installations and 24/7 assistance if nothing arrives within 2 hours (check spam). Updates arrive the same way: for 365 days, each new version is sent to your mailbox immediately upon release. And if you fail the corresponding Databricks-Certified-Data-Analyst-Associate exam within 60 days of purchase, we refund in full: submit a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. You can also exchange for two equal-value products free.
$200 USD per attempt, 70% to pass. Retakes bill the full fee again — which is why accurate preparation with the 118 practice questions from PracticeVCE is the economical route.
Yes — a free Databricks Certified Data Analyst Associate demo is available to download before you decide. Evaluate the questions and answers yourself; every purchase then includes 365 days of free updates, renewable at 50% off afterward.
90 minutes for 45 questions. Practice seriously with the clock running — timed sessions in the PracticeVCE engine turn time pressure into routine before test day.
The Databricks Certified Data Analyst Associate is Databricks's certification exam for Data Analyst, at the Associate level. For IT workers with aspirations, it's essential proof of capability — the line that starts or advances a career. Related credentials include Databricks Certified Data Engineer Associate, Databricks Certified Machine Learning Associate.
The Databricks Certified Data Analyst Associate blueprint spans 9 domains — including Developing AI/BI Genie Spaces (12%), Securing Data (8%), Creating Dashboards and Visualizations (16%). Allocate study time by weighting, and consult the full outline above for every subtopic.
No formal prerequisites. Databricks recommends 6+ months of hands-on experience with data analysis and Databricks SQL. Vendors revise eligibility rules periodically, so confirm the current requirements on the official page (official Databricks-Certified-Data-Analyst-Associate exam page) before registering.
Databricks Certified Data Analyst Associate Sample Questions:
Which of the following is an advantage of using a Delta Lake-based data lakehouse over common data lake solutions?
- A. Scalable storage
- B. Data deletion
- C. Open-source formats
- D. ACID transactions
- E. Flexible schemas
Correct Answer: D 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
A data analyst is working with a nested array column products in table transactions. The analyst wants to return the first item in the array for each row.
The data analyst is using the following incomplete command:
SELECT
transaction_id,
_____ AS first_product
FROM transactions;
Which line of code should the data analyst use to fill in the blank so that it successfully completes the task?
- A. products[1]
- B. products.0
- C. products.1
- D. products[0]
Correct Answer: D 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
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. Markdown-based text boxes
- B. Separate endpoints for each section
- C. Separate queries for each section
- D. Direct text written into the dashboard in editing mode
- E. Separate color palettes for each section
Correct Answer: A 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
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?
- A. SQL analyst
- B. Business intelligence analyst
- C. Data analyst
- D. Data engineer
- E. Business analyst
Correct Answer: D 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
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 streaming data is not an appropriate data source for a dashboard
- B. The streaming cluster is not fault tolerant
- C. The gold-level tables are not appropriately clean for business reporting
- D. The required compute resources could be costly
- E. The dashboard cannot be refreshed that quickly
Correct Answer: D 🗳️
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
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