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Microsoft Certified:Azure Databricks Data Engineer Associate

Domain 3Objective 3

Cleanse, Transform, and Load Data into Unity Catalog DP-750 Practice Questions (Page 4)

Part of the Prepare and process data domain, which accounts for 30–35% of the DP-750 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~15–28 in this domain), expect 4–7 from this objective — we provide 20 practice questions to prepare you well beyond it. (estimate)

20questions here
4free pages
18concepts
30–35%of the exam

Questions 16–20

  1. 16application · medium

    A company has a Unity Catalog table `web_events` that stores clickstream data. A new batch of events arrives in a temporary table `new_events` with the same schema. The `event_id` column is unique across both tables. The data team needs to add the new events to the existing table without modifying existing rows. What should you do?

    Select an answer first
  2. 17application · medium

    A company has two tables in Unity Catalog: `customers(customer_id, name, email)` and `orders(order_id, customer_id, order_date, amount)`. Some customers have no orders, and some orders reference customers that were deleted. The analytics team wants a report that includes every customer, even those without orders, but only for customers that still exist. Which join type should you use?

    Select an answer first
  3. 18application · medium

    A data analyst has just loaded a new table `web_traffic` into Unity Catalog. Before building reports, they want to understand the distribution of `page_views` and identify any outliers or missing values. Which action should they take first?

    Select an answer first
  4. 19foundation · medium

    Which transformation converts a normalized table (e.g., separate rows per product in an order) into a wide format with one row per order and multiple product columns?

    Select an answer first
  5. 20application · medium

    A sales team has a table `sales(region, month, revenue)` in Unity Catalog. They want to create a report that shows each region as a row and each month as a column (e.g., Jan, Feb, Mar) with revenue values. Which operation should you use?

    Select an answer first
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