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Databricks-Certified-Professional-Data-Engineer FAQs
The Databricks-Certified-Professional-Data-Engineer Exam is a specialized certification test designed to assess an individual's expertise in data engineering on the Databricks platform, particularly focusing on the application of data transformation, storage, and processing techniques using Apache Spark.
The Databricks Data Engineer exam evaluates key skills such as data processing, building data pipelines, performance optimization, and working with big data using Apache Spark and the Databricks platform, emphasizing both conceptual understanding and practical application in data engineering.
The minimum passing score for the Databricks-Certified-Professional-Data-Engineer Exam is typically set at 70%, although this benchmark may vary slightly based on exam versions and the complexity of the questions presented in the specific test iteration.
The Databricks-Certified-Professional-Data-Engineer Exam primarily features multiple-choice and multiple-response questions, designed to assess a candidate's practical and theoretical knowledge in data engineering, particularly focusing on scenarios and problem-solving using the Databricks and Apache Spark platform.
Yes, the Databricks-Certified-Professional-Data-Engineer Exam can be taken online, providing candidates with the convenience of completing the test remotely. This flexibility allows for a comfortable and accessible examination experience from a location of the candidate's choosing.
The fee for the Databricks-Certified-Professional-Data-Engineer Exam varies by region, typically ranging from $200 to $300. This cost reflects the exam's comprehensive assessment of data engineering skills on the Databricks and Apache Spark platforms.
Obtaining the Databricks-Certified-Professional-Data-Engineer certification significantly boosts a data engineering career by validating expertise in big data processing and analytics on Databricks and Apache Spark, enhancing job prospects, and positioning the individual as a skilled professional in a rapidly growing field.
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Databricks Certified Data Engineer Professional Exam Questions and Answers
Which distribution does Databricks support for installing custom Python code packages?
A developer has successfully configured credential for Databricks Repos and cloned a remote Git repository. Hey don not have privileges to make changes to the main branch, which is the only branch currently visible in their workspace.
Use Response to pull changes from the remote Git repository commit and push changes to a branch that appeared as a changes were pulled.
The following code has been migrated to a Databricks notebook from a legacy workload:
The code executes successfully and provides the logically correct results, however, it takes over 20 minutes to extract and load around 1 GB of data.
Which statement is a possible explanation for this behavior?
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