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  • Total Questions: 118
  • Updated on: Nov 02, 2026
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  • Total Questions: 118
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Certification objectives evolve, and your Databricks-Certified-Data-Analyst-Associate preparation should evolve with them. Throughout 2026, NewPassLeader provides ongoing updates for Databricks Certified Data Analyst Associate, keeping the 118 practice questions relevant during your active study period.

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 Price:$200 USD
Certificate Validity Period:2 years
Related Certifications:Databricks Certified Data Engineer Associate
Databricks Certified Machine Learning Associate
Passing Score:70%
Available Languages:English
Real Exam Qty:45–60
Exam Format:Multiple Select, Multiple Choice
Recommended Training:Databricks SQL Training Courses
Databricks Academy - Data Analyst Learning Path
Exam Registration:Databricks Certification Portal
Kryterion Webassessor Registration
Sample Questions: DOWNLOAD DEMO
Exam Way:Online proctored exam via remote monitoring (Kryterion Webassessor platform)
Pre Condition:No formal prerequisites required, but familiarity with SQL and basic data analysis concepts is recommended.
Official Syllabus URL:https://www.databricks.com/learn/certification

Databricks Databricks-Certified-Data-Analyst-Associate Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Management in Lakehouse- Delta Lake fundamentals
  • 1. Table optimization concepts
    • 2. ACID transactions and versioning
      - Data ingestion and preparation
      • 1. Batch and streaming ingestion concepts
        Topic 2: Databricks SQL and SQL Analytics- Data transformation and analysis
        • 1. Common table expressions (CTEs)
          • 2. Window functions
            - Querying data using SQL in Databricks
            • 1. Joins and aggregations
              • 2. SELECT statements and filtering data
                Topic 3: Data Governance and Security- Access control and permissions
                • 1. Row-level and column-level security concepts
                  • 2. Unity Catalog basics
                    Topic 4: Data Visualization and Dashboards- Creating dashboards in Databricks SQL
                    • 1. Dashboard configuration and sharing
                      • 2. Visualizing query results

                        Common Questions About Databricks Certified Data Analyst Associate

                        The Databricks-Certified-Data-Analyst-Associate exam, Databricks Certified Data Analyst Associate Exam, assesses whether a candidate can apply Databricks knowledge to the skills measured by this credential. It is associated with the Databricks Certified Data Analyst Associate certification. The certification is positioned at the Associate level. Related credentials include Databricks Certified Data Engineer Associate, Databricks Certified Machine Learning Associate.

                        The Databricks-Certified-Data-Analyst-Associate exam includes 45–60 questions and allows 90 minutes. Plan your pacing before exam day rather than calculating it under pressure. Timed sessions with NewPassLeader practice tests can help you decide when to flag a difficult item, keep moving, and reserve enough time for a final review.

                        The published passing score for Databricks Certified Data Analyst Associate is 70%, and the official exam fee is $200 USD. A retake requires budgeting for the full official fee again, so it is sensible to complete several timed practice tests before scheduling. Consistent results across the 118 practice questions can give you a clearer picture of your readiness.

                        The stated prerequisite information for Databricks Certified Data Analyst Associate is: No formal prerequisites required, but familiarity with SQL and basic data analysis concepts is recommended. Before registering, review the eligibility details on the official exam page to confirm the requirements.

                        You can register for Databricks Certified Data Analyst Associate through the following channels:

                        The available exam delivery format is Online proctored exam via remote monitoring (Kryterion Webassessor platform).

                        The following official training resources are recommended for Databricks Certified Data Analyst Associate:

                        After reviewing these training options, you can reinforce each topic with 118 practice questions from NewPassLeader.

                        Yes. NewPassLeader provides a free PDF demo so you can review the format and quality of the Databricks Certified Data Analyst Associate practice questions before placing an order. Your purchase includes 365 days of free updates, and you can extend the update service after expiration at a 50% discount.

                        If you take the corresponding Databricks-Certified-Data-Analyst-Associate exam within 60 days of purchase and do not pass, you may apply for a full refund under the 100% Money Back Guarantee. Claims based on an exam taken within 3 days of purchase are not eligible; free materials, expired orders, and downloaded products that were not used before sitting for the exam are also excluded. The candidate name must match the payer name.

                        To apply, submit a scanned enrollment slip and the official Score Report PDF within 2 days after the exam. Eligible requests are processed within 7 days. If you prefer an alternative, you may receive two free products of equal value and keep the update service for your original purchase.

                        Delivery is instant after payment. Your download is also sent to your email within one minute; if it has not arrived within 2 hours, contact customer service. There is no limit on the number of computers on which the material can be installed.

                        The published Databricks Certified Data Analyst Associate outline contains 4 major domains. The opening domains include:

                        • Data Visualization and Dashboards (official weight not provided)
                        • Databricks SQL and SQL Analytics (official weight not provided)
                        • Data Governance and Security (official weight not provided)

                        Review the complete Exam Topics section above for every domain and subtopic before planning your study time.

                        Databricks Certified Data Analyst Associate Sample Questions:

                        Which example of data projects represents a common analytics application to be completed in Databricks SQL?

                        • A. Predicting customer churn by automatically developing time-series models
                        • B. Performing analysis-specific ETL on gold-layer tables
                        • C. Testing the latency of real-time streaming workloads
                        • D. Monitoring the performance of deployed machine learning solutions
                        Reveal Solution  Discussion  0

                        Correct Answer: B  🗳️

                        Explanation: Only visible for NewPassLeader members. You can sign-up / login (it's free).

                        Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

                        • A. ( spark.readStream.load(rawSalesLocation) .writeStream .option( " checkpointLocation " , checkpointPath) .outputMode( " append " ) .table( " newSales " ))
                        • B. Option D
                        • C. ( spark.table( " sales " ) .groupBy( " store " ) .agg(sum( " sales " )) .writeStream .option( " checkpointLocation " , checkpointPath) .outputMode( " complete " ) .table( " newSales " ))
                        • D. Option E
                        • E. ( spark.table( " sales " ) .withColumn( " avgPrice " , col( " sales " ) / col( " units " )) .writeStream .option ( " checkpointLocation " , checkpointPath) .outputMode( " append " ) .table( " newSales " ))
                        • F. ( spark.table( " sales " ) .withColumn( " avgPrice " , col( " sales " ) / col( " units " )) .writeStream .option ( " checkpointLocation " , checkpointPath) .outputMode( " append " ) .table( " newSales " ))
                        • G. Option C
                        • H. ( spark.table( " sales " ) .filter(col( " units " ) > 0) .writeStream .option( " checkpointLocation " , checkpointPath) .outputMode( " append " ) .table( " newSales " ))
                        • I. Option A
                        • J. Option B
                        Reveal Solution  Discussion  0

                        Correct Answer: C  🗳️

                        Explanation: Only visible for NewPassLeader members. You can sign-up / login (it's free).

                        A BI analyst is building an analytical data model in Databricks using Delta Lake tables. The source system contains transactional sales data that changes frequently. The analyst chooses to apply the Data Vault 2.0 methodology to manage historical changes while ensuring scalability and auditability across multiple business domains.
                        Which component is used to capture the many-to-many relationship between hubs in a Data Vault v2 model?

                        • A. Link Table
                        • B. Satellite Table
                        • C. Reference Table
                        • D. Hub Table
                        Reveal Solution  Discussion  0

                        Correct Answer: A  🗳️

                        Explanation: Only visible for NewPassLeader members. You can sign-up / login (it's free).

                        A data scientist wants to tune a set of hyperparameters for a machine learning model. They have wrapped a Spark ML model in the objective function objective_function, and they have defined the search space search_space.
                        As a result, they have the following code block:
                        num_evals = 100
                        trials = SparkTrials()
                        best_hyperparam = fmin(
                        fn=objective_function,
                        space=search_space,
                        algo=tpe.suggest,
                        max_evals=num_evals,
                        trials=trials
                        )
                        Which of the following changes do they need to make to the above code block in order to accomplish the task?

                        • A. Change fmin() to fmax()
                        • B. Change SparkTrials() to Trials()
                        • C. Remove the algo=tpe.suggest argument
                        • D. Remove the trials=trials argument
                        • E. Reduce num_evals to be less than 10
                        Reveal Solution  Discussion  0

                        Correct Answer: B  🗳️

                        Explanation: Only visible for NewPassLeader members. You can sign-up / login (it's free).

                        A data analyst has created a Query in Databricks SQL, and now wants to create two data visualizations from that Query and add both of those data visualizations to the same Databricks SQL Dashboard.
                        Which step will the data analyst need to take when creating and adding both data visualizations to the Databricks SQL Dashboard?

                        • A. Decide on a single data visualization to add to the dashboard.
                        • B. Add two separate visualizations to the dashboard based on the same Query.
                        • C. Alter the Query to return two separate sets of results.
                        • D. Copy the Query and create one data visualization per query.
                        Reveal Solution  Discussion  0

                        Correct Answer: B  🗳️

                        Explanation: Only visible for NewPassLeader members. You can sign-up / login (it's free).

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