Databricks-Certified-Data-Analyst-Associate Exam Question 26

A data analyst has been asked to use the below table sales_table to get the percentage rank of products within region by the sales:

The result of the query should look like this:

Which of the following queries will accomplish this task?
A)

B)

C)

D)
  • Databricks-Certified-Data-Analyst-Associate Exam Question 27

    A data analyst at an e-commerce company needs to process daily sales data. The data consists of approximately 50,000 records stored in a single CSV file, totaling about 20 MB. The analyst needs to perform aggregations and generate a summary report.
    Which approach could the data analyst use in this situation?
  • Databricks-Certified-Data-Analyst-Associate Exam Question 28

    A stakeholder has provided a data analyst with a lookup dataset in the form of a 50-row CSV file. The data analyst needs to upload this dataset for use as a table in Databricks SQL.
    Which approach should the data analyst use to quickly upload the file into a table for use in Databricks SOL?
  • Databricks-Certified-Data-Analyst-Associate Exam Question 29

    A data analysis team is working with the table_bronze SQL table as a source for one of its most complex projects. A stakeholder of the project notices that some of the downstream data is duplicative. The analysis team identifies table_bronze as the source of the duplication.
    Which of the following queries can be used to deduplicate the data from table_bronze and write it to a new table table_silver?
    A)
    CREATE TABLE table_silver AS
    SELECT DISTINCT *
    FROM table_bronze;
    B)
    CREATE TABLE table_silver AS
    INSERT *
    FROM table_bronze;
    C)
    CREATE TABLE table_silver AS
    MERGE DEDUPLICATE *
    FROM table_bronze;
    D)
    INSERT INTO TABLE table_silver
    SELECT * FROM table_bronze;
    E)
    INSERT OVERWRITE TABLE table_silver
    SELECT * FROM table_bronze;
  • Databricks-Certified-Data-Analyst-Associate Exam Question 30

    A data analyst wants to generate insights from large, complex datasets. The analyst needs to quickly understand the meaning of various data columns, ask questions in natural language, and receive AI-driven recommendations for optimizing data queries and workflows.
    Which Databricks component is primarily responsible for enabling these capabilities?