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Databricks Databricks-Certified-Data-Engineer-Associate Exam Overview:

Certification Vendor:Databricks
Exam Name:Databricks Certified Data Engineer Associate Exam
Exam Number:Databricks-Certified-Data-Engineer-Associate
Related Certifications:Databricks Certified Data Analyst Associate
Exam Format:Multiple Choice, Multiple Select
Exam Price:$200 USD
Available Languages:English
Certificate Validity Period:2 years
Real Exam Qty:60
Exam Duration:90 minutes
Passing Score:70%
Sample Questions:Databricks Databricks-Certified-Data-Engineer-Associate Sample Questions
Exam Way:Online proctored or in-person testing center
Pre Condition:Recommended: 6+ months of experience with Databricks and Apache Spark
Official Syllabus URL:https://www.databricks.com/learn/certification/data-engineer-associate

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Sample Databricks-Certified-Data-Engineer-Associate Questions Pdf, Latest Databricks-Certified-Data-Engineer-Associate Exam Objectives

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Passing the Databricks Certified Data Engineer Associate Exam demonstrates that the candidate has the skills and knowledge necessary to design, build, and maintain data pipelines and data warehouses using Databricks. It is an important certification for data engineers who want to advance their careers and demonstrate their expertise in using Databricks to solve complex data engineering problems. With the explosive growth of data in today's business environment, the demand for skilled data engineers is higher than ever, and the Databricks Certified Data Engineer Associate Exam is an excellent way to stand out in a crowded job market.

The Databricks Certified Data Engineer Associate Exam certification exam consists of 60 multiple-choice questions that must be answered within 90 minutes. Databricks-Certified-Data-Engineer-Associate Exam is available in English and can be taken online, making it accessible to candidates worldwide. The passing score for the exam is 70%, and candidates who pass the exam receive a certificate that demonstrates their proficiency in data engineering using Databricks.

Databricks Certified Data Engineer Associate Exam Sample Questions (Q131-Q136):

NEW QUESTION # 131
A data engineer is running a Spark SQL job on Databricks and notices that joins between a small lookup table and a large fact table are slow. The engineer wants Spark to automatically send the small lookup table to all executors to accelerate the join.
Which configuration parameter should the data engineer adjust?

Answer: C


NEW QUESTION # 132
A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?
Which of the following code blocks can the data engineer use to complete this task?

Answer: D

Explanation:
https://www.w3schools.com/python/python_functions.asp
https://www.geeksforgeeks.org/python-functions/


NEW QUESTION # 133
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


NEW QUESTION # 134
A new data engineering team team. has been assigned to an ELT project. The new data engineering team will need full privileges on the database customers to fully manage the project.
Which of the following commands can be used to grant full permissions on the database to the new data engineering team?

Answer: E

Explanation:
To grant full permissions on a database to a user, group, or service principal, the GRANT ALL PRIVILEGES ON DATABASE command can be used. This command grants all the applicable privileges on the database, such as CREATE, SELECT, MODIFY, and USAGE. The other options are either incorrect or incomplete, as they do not grant all the privileges or specify the wrong database or principal. Reference:
GRANT
Privileges


NEW QUESTION # 135
A data engineer has a PySpark DataFrame events_dfwhich contains a nested devicestruct, which itself includes a nested locationstruct, as shown:

The goal is to flatten the nested fields into root-level columns while keeping the event identifiers and timestamp.
Which PySpark expression achieves this?

Answer: D

Explanation:
Dot notation selects the scalar fields inside both device and its nested location struct as root-level columns while retaining event_id and event_ts. Option D expands only device's first level, leaving location nested.


NEW QUESTION # 136
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