Databricks-Certified-Professional-Data-Engineer

Exam Code: Certified-Professional-Data-Engineer

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The Databricks Certified Data Engineer Professional certification validates an individual's proficiency in performing advanced data engineering tasks using the Databricks platform and its associated tools. This includes a deep understanding of the Databricks ecosystem, encompassing technologies such as Apache Spark™, Delta Lake, MLflow, and the Databricks CLI and REST API. Certified professionals are adept at building optimized ETL pipelines, modeling data within a lakehouse architecture, and ensuring that data pipelines are secure, reliable, and well-monitored. ?

Exam Coverage:

The certification exam evaluates competencies across six key domains:?

1. Databricks Tooling (20%): Understanding and utilizing Databricks' suite of tools effectively.?
2. Data Processing (30%): Designing and implementing data processing solutions, including both batch and streaming data.?
3. Data Modeling (20%): Structuring and organizing data to support efficient analysis and querying.?
4. Security and Governance (10%): Implementing best practices to secure data and ensure compliance with governance policies.?
5. Monitoring and Logging (10%): Establishing systems to monitor data pipelines and maintain logs for auditing and troubleshooting.?
6. Testing and Deployment (10%): Ensuring data solutions are tested thoroughly and deployed reliably.?

Assessment Details:

• Type: Proctored certification exam.?
• Total Questions: 60 multiple-choice questions.?
• Time Limit: 120 minutes.?
• Prerequisites: While there are no formal prerequisites, it is recommended to have over a year of hands-on experience performing data engineering tasks using Databricks.?
• Validity: The certification is valid for two years from the date of issuance.?

Preparation Resources:

To prepare effectively for the exam, consider the following resources:

• Official Exam Guide: Review the Data Engineer Professional Exam Guide to understand the topics covered.?
• Databricks Academy Courses: Enroll in relevant courses, such as "Advanced Data Engineering With Databricks," available through the Databricks Academy.
• Documentation and Tutorials: Study Databricks' official documentation and tutorials to deepen your understanding of the platform's features.?
• Practice Exams: Utilize practice exams and sample questions to assess your readiness and identify areas for improvement.?

By thoroughly understanding the exam domains and leveraging the recommended resources, candidates can enhance their chances of achieving the Databricks Certified Data Engineer Professional certification.

“Pass rate for this exam is 70%, Please note we provide you total 120 Questions & Answers for your perusal”.

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