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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) Exam is a certification exam designed for data engineers who are interested in validating their skills and knowledge in working with Databricks. Databricks is a cloud-based data processing and analytics platform that is widely used by organizations to manage and analyze large datasets. Databricks Certified Data Engineer Associate Exam certification exam is designed to test the candidate's ability to design, build and maintain data pipelines using Databricks.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q122-Q127):

NEW QUESTION # 122
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

Answer: E

Explanation:
The best practice is to use "Complete" as output mode instead of "append" when working with aggregated tables. Since gold layer is work final aggregated tables, the only option with output mode as complete is option E.


NEW QUESTION # 123
A data engineer needs to apply custom logic to identify employees with more than 5 years of experience in array column employees in table stores. The custom logic should create a new column exp_employees that is an array of all of the employees with more than 5 years of experience for each row. In order to apply this custom logic at scale, the data engineer wants to use the FILTER higher-order function.
Which of the following code blocks successfully completes this task?

Answer: C

Explanation:
Option A is the correct answer because it uses the FILTER higher-order function correctly to filter out employees with more than 5 years of experience from the array column "employees". It applies a lambda function i -> i.years_exp > 5 that checks if the years of experience of each employee in the array is greater than 5. If this condition is met, the employee is included in the new array column "exp_employees".
The use of higher-order functions like FILTER can be referenced from Databricks documentation on Higher- Order Functions.


NEW QUESTION # 124
A data engineer is onboarding a new Bronze ingestion pipeline in Databricks with Unity Catalog. The team wants Databricks to handle storage layout, apply platform optimizations over time, and simplify lifecycle management so that when a table is dropped, its underlying data is also cleaned up according to Databricks- managed retention policies.
Which table type should the data engineer create for these ingestion tables?

Answer: B


NEW QUESTION # 125
Which of the following describes the relationship between Gold tables and Silver tables?

Answer: E

Explanation:
According to the medallion lakehouse architecture, gold tables are the final layer of data that powers analytics, machine learning, and production applications. They are often highly refined and aggregated, containing data that has been transformed into knowledge, rather than just information. Silver tables, on the other hand, are the intermediate layer of data that represents a validated, enriched version of the raw data from the bronze layer. They provide an enterprise view of all its key business entities, concepts and transactions, but they may not have all the aggregations and calculations that are required for specific use cases. Therefore, gold tables are more likely to contain aggregations than silver tables. References:
* What is the medallion lakehouse architecture?
* What is a Medallion Architecture?


NEW QUESTION # 126
Which SQL code snippet will correctly demonstrate a Data Definition Language (DDL) operation used to create a table?

Answer: D


NEW QUESTION # 127
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