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The GAQM Databricks-Certified-Data-Engineer-Associate Exam consists of 60 multiple-choice questions that cover a range of topics related to data engineering with Databricks. Databricks-Certified-Data-Engineer-Associate exam is designed to test the candidate's knowledge and skills in areas such as data ingestion, data transformation, data modeling, data integration, and data processing. Candidates who pass the exam will receive a certificate that validates their expertise in data engineering with Databricks and demonstrates their ability to work effectively with the platform. Databricks Certified Data Engineer Associate Exam certification is valuable for professionals working in data engineering roles, as it helps them to showcase their skills and expertise to potential employers and clients.

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The GAQM Databricks-Certified-Data-Engineer-Associate Exam is a certification that validates a candidate's proficiency in using Databricks to build and maintain data pipelines. Databricks is a cloud-based data platform that allows users to easily process large amounts of data using Apache Spark. Databricks Certified Data Engineer Associate Exam certification is designed for data engineers who want to demonstrate their expertise in building scalable, reliable, and performant data pipelines.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q290-Q295):

NEW QUESTION # 290
A data engineer is processing ingested streaming tables and needs to filter out NULL values in the order_datetime column from the raw streaming table orders_raw and store the results in a new table orders_valid using DLT.
Which code snippet should the data engineer use?

Answer: C


NEW QUESTION # 291
A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

Answer: A

Explanation:
In the given command, a data engineer is trying to create a table in Databricks using data from an SQLite database. The correct option to fill in the blank is "sqlite" because it specifies the type of database being connected to in a JDBC connection string. The USING clause should be followed by the format of the data, and since we are connecting to an SQLite database, "sqlite" would be appropriate here. References:
* Create a table using JDBC
* JDBC connection string
* SQLite JDBC driver


NEW QUESTION # 292
A data engineer is building a streaming pipeline that reads JSON files arriving in a cloud storage location. The pipeline must automatically process new files as they arrive without manual intervention. Which Databricks feature is designed for this use case?

Answer: C


NEW QUESTION # 293
A data engineer wants to delete records from a Delta table where the status column equals
"inactive". The operation should modify only the affected rows without rewriting the entire dataset.
Which SQL command should be used?

Answer: D


NEW QUESTION # 294
Which of the following describes the relationship between Gold tables and Silver tables?

Answer: D

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 # 295
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