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Databricks Certified Data Analyst Associate

The Databricks Certified Data Analyst Associate validates the ability to use Databricks SQL and other tools to analyze data and provide business insights. It covers data visualization, dashboarding, and the use of SQL to query structured and semi-structured data within the Lakehouse. Holding the symbol DTB_DAA demonstrates a professional's proficiency in turning raw data into actionable intelligence on Databricks.



---------- Question 1
A team wants to mark a specific dataset as the authoritative source for financial reporting to help other analysts discover it. How can they communicate this status within the Catalog Explorer?
  1. By setting the table status to READ ONLY for all users
  2. By applying Tags and designated Owners to the table
  3. By moving the table into the System catalog
  4. By renaming the table with a suffix labeled OFFICIAL

---------- Question 2
A query is taking a long time to run. The analyst checks the Query Profile and notices a large amount of time is spent on Task Deserialization. What does this usually indicate about the query?
  1. The SQL Warehouse is too small and needs to be scaled up.
  2. The query has too many small tasks often due to too many files.
  3. The underlying data is encrypted and taking time to unlock.
  4. The network connection between the user and Databricks is slow.

---------- Question 3
What is the purpose of setting up an 'Alert' in Databricks SQL for a business metric like 'Daily Error Count'?
  1. To automatically delete the error logs when the count exceeds a certain threshold.
  2. To trigger a notification via email or Slack when a query result meets a defined condition.
  3. To prevent users from running queries if the error count in the system is too high.
  4. To change the color of the dashboard background to red when errors occur.

---------- Question 4
An analyst is creating a visualization and wants to highlight any sales figures that are 20 percent below the target. Which visualization feature should be used to change the color of these specific data points based on their value?
  1. Conditional Formatting
  2. Reference Lines
  3. Cross-filtering
  4. Bubble size scaling

---------- Question 5
A data analyst is setting up a process to ingest thousands of small JSON files from an S3 bucket. Which method is recommended for its ability to incrementally process new files without complex manual tracking of previously loaded data?
  1. Direct UI Upload
  2. API-driven intake
  3. Auto Loader
  4. SQL INSERT INTO

---------- Question 6
To protect sensitive PII data, an administrator wants to mask the 'Email' column so that only members of the 'Security' group can see the full address. What is the most robust way to implement this in Unity Catalog?
  1. Create a separate table for the Security group and a second table with the email column deleted for everyone else.
  2. Apply a Column Mask to the email column that uses a CASE statement and the IS_MEMBER function.
  3. Instruct all users to use a specific Python function to redact the data when they write their queries.
  4. Use the GRANT SELECT command to give everyone access to the table and hope they do not look at that column.

---------- Question 7
Which visualization type is most appropriate for showing the distribution of a single numerical variable and identifying potential outliers in the dataset?
  1. Pie Chart
  2. Box Plot
  3. Line Chart
  4. Counter

---------- Question 8
A data analyst needs to implement a multi-layered architecture where raw data is refined into high-quality business insights. Which component of the Medallion Architecture is specifically designed to provide filtered, aggregated, and business-ready datasets for end-user consumption?
  1. The Bronze layer which stores raw data ingestion
  2. The Silver layer which focuses on data validation
  3. The Gold layer which contains project-specific refined data
  4. The Delta Live Tables which manage all state transitions

---------- Question 9
When managing certified datasets in Unity Catalog, a data analyst wants to ensure that specific sensitive columns are only visible to a subset of users. Which feature should be used to implement this security measure?
  1. Liquid Clustering
  2. Volume Permissions
  3. Dynamic Data Masking
  4. External Locations

---------- Question 10
An analyst needs to identify which downstream dashboards will be affected if a specific column in a Silver layer table is renamed. Which tool within the Databricks Catalog Explorer should the analyst use to visualize these dependencies?
  1. Data Lineage
  2. Audit Logs
  3. Quality Monitors
  4. Schema Browser

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