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Databricks Certified Data Engineer Associate certification exam is a computer-based exam that consists of 60 multiple-choice questions. Candidates are given two hours to complete the exam, and they must score at least 70% to pass. Databricks-Certified-Data-Engineer-Associate Exam is available in multiple languages, including English, Spanish, French, German, and Japanese.

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q39-Q44):

NEW QUESTION # 39
A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.
Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?

A. CREATE TABLE all_transactions ASSELECT * FROM march_transactionsINNER JOIN SELECT * FROM april_transactions;
B. CREATE TABLE all_transactions ASSELECT * FROM march_transactionsOUTER JOIN SELECT * FROM april_transactions;
C. CREATE TABLE all_transactions ASSELECT * FROM march_transactionsINTERSECT SELECT * from april_transactions;
D. CREATE TABLE all_transactions ASSELECT * FROM march_transactionsMERGE SELECT * FROM april_transactions;
E. CREATE TABLE all_transactions ASSELECT * FROM march_transactionsUNION SELECT * FROM april_transactions;

Answer: E

Explanation:
The correct command to create a new table that contains all records from two tables without duplicate records is to use the UNION operator. The UNION operator combines the results of two queries and removes any duplicate rows. The INNER JOIN, OUTER JOIN, and MERGE operators do not remove duplicate rows, and the INTERSECT operator only returns the rows that are common to both tables. Therefore, option B is the only correct answer. References: Databricks SQL Reference - UNION, Databricks SQL Reference - JOIN, Databricks SQL Reference - MERGE, [Databricks SQL Reference - INTERSECT]

NEW QUESTION # 40
A data engineer wants to combine two datasets that share the same schema and append rows from one dataset to another. Which Spark DataFrame operation performs this row-wise combination?

A. union
B. join
C. merge
D. intersect

Answer: A

NEW QUESTION # 41
A data engineer drops two Unity Catalog tables: main.sales.managed_orders (managed) and main.sales.ext_orders (external).
What happens to the underlying data files?

A. Files are retained for both tables.
B. Files are retained for the managed table and deleted for the external table.
C. Files are deleted for the managed table and retained for the external table.
D. Files are deleted for both tables.

Answer: C

Explanation:
Unity Catalog owns the lifecycle of managed table data, so dropping a managed table removes the metadata and eventually deletes the underlying files. For external tables, Unity Catalog manages only the metadata; the files in the external location remain in place after the drop.

NEW QUESTION # 42
An analyst reports that a dashboard showed incorrect numbers before a data correction was applied at 09:00 today. The engineer needs to query the table exactly as it existed at version 118.
Which statement returns that data?

A. SELECT * FROM sales VERSION AS OF 118
B. DESCRIBE HISTORY sales LIMIT 118
C. SELECT * FROM sales WHERE _commit_version = 118
D. RESTORE TABLE sales TO VERSION AS OF 118

Answer: A

Explanation:
Delta time travel supports VERSION AS OF <n> (or TIMESTAMP AS OF) to read a prior snapshot without modifying the table. RESTORE would actually roll the table back, which changes the current state rather than simply inspecting history.

NEW QUESTION # 43
A data engineer needs to determine whether to use the built-in Databricks Notebooks versioning or version their project using Databricks Repos.
Which of the following is an advantage of using Databricks Repos over the Databricks Notebooks versioning?

A. Databricks Repos provides the ability to comment on specific changes
B. Databricks Repos supports the use of multiple branches
C. Databricks Repos allows users to revert to previous versions of a notebook
D. Databricks Repos automatically saves development progress
E. Databricks Repos is wholly housed within the Databricks Lakehouse Platform

Answer: B

Explanation:
Explanation
An advantage of using Databricks Repos over the built-in Databricks Notebooks versioning is the ability to work with multiple branches. Branching is a fundamental feature ofversion control systems like Git, which Databricks Repos is built upon. It allows you to create separate branches for different tasks, features, or experiments within your project. This separation helps in parallel development and experimentation without affecting the main branch or the work of other team members. Branching provides a more organized and collaborative development environment, making it easier to merge changes and manage different development efforts. While Databricks Notebooks versioning also allows you to track versions of notebooks, it may not provide the same level of flexibility and collaboration as branching in Databricks Repos.

NEW QUESTION # 44
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