Databricks Certified Data Engineer Professional Exam
Last Update May 8, 2024
Total Questions : 120
Our Databricks Certification Databricks-Certified-Professional-Data-Engineer exam questions and answers cover all the topics of the latest Databricks Certified Data Engineer Professional Exam exam, See the topics listed below. We also provide Databricks Databricks-Certified-Professional-Data-Engineer exam dumps with accurate exam content to help you prepare for the exam quickly and easily. Additionally, we offer a range of Databricks Databricks-Certified-Professional-Data-Engineer resources to help you understand the topics covered in the exam, such as Databricks Certification video tutorials, Databricks-Certified-Professional-Data-Engineer study guides, and Databricks-Certified-Professional-Data-Engineer practice exams. With these resources, you can develop a better understanding of the topics covered in the exam and be better prepared for success.
| Exam Name | Databricks Certified Data Engineer Professional Exam |
| Exam Code | Databricks-Certified-Professional-Data-Engineer |
| Actual Exam Duration | The duration of the Databricks Databricks-Certified-Professional-Data-Engineer Exam is 2 hours. |
| What exam is all about | The Databricks-Certified-Professional-Data-Engineer exam is designed to test the knowledge and skills of individuals in the field of data engineering using Databricks. The exam covers topics such as data ingestion, data transformation, data storage, data processing, and data analysis using Databricks. The exam is intended for professionals who work with big data and want to demonstrate their expertise in using Databricks for data engineering tasks. Successful completion of the exam leads to the Databricks Certified Professional Data Engineer certification. |
| Passing Score required | It is recommended to check the official website of Databricks or contact their support team for the latest information on the passing score. |
| Competency Level required | The Databricks-Certified-Professional-Data-Engineer exam requires a high level of competency in data engineering, data processing, and data analysis using Databricks. Candidates should have a strong understanding of Apache Spark, Databricks architecture, and data engineering best practices. They should also be proficient in programming languages such as Python, Scala, and SQL. Additionally, candidates should have experience in designing and implementing data pipelines, data modeling, and data warehousing. Overall, the Databricks-Certified-Professional-Data-Engineer exam requires a high level of technical expertise and practical experience in data engineering using Databricks. |
| Questions Format | The Databricks-Certified-Professional-Data-Engineer exam consists of multiple-choice questions. The exam is designed to test the candidate's knowledge and skills in various areas related to data engineering, including data ingestion, data transformation, data storage, and data processing. The questions are designed to assess the candidate's ability to work with Databricks and its related technologies, such as Apache Spark, Delta Lake, and MLflow. The exam also includes scenario-based questions that require the candidate to apply their knowledge to real-world situations. |
| Delivery of Exam | According to the official Databricks website, the exam is currently offered as an online proctored exam. Candidates can take the exam from their own computer, and a proctor will monitor the exam remotely. The exam is timed and consists of multiple-choice questions. |
| Language offered | The exam is designed to test the candidate's knowledge and skills in working with Databricks Unified Analytics Platform, Apache Spark, and other related technologies. The exam may include questions related to programming languages such as Python, Scala, and SQL, as well as concepts related to data engineering, data processing, data analysis, and machine learning. The language used in the exam may be English. |
| Cost of exam | You can visit the official website of Databricks or contact their customer support team to get the latest pricing information. |
| Target Audience | The Databricks-Certified-Professional-Data-Engineer certification is designed for data engineers who are responsible for designing, building, and maintaining data processing systems. The target audience for this certification includes: 1. Data Engineers: Data engineers who are responsible for designing, building, and maintaining data processing systems using Databricks. 2. Big Data Developers: Big data developers who want to enhance their skills in building and managing data processing systems using Databricks. 3. Data Architects: Data architects who want to design and implement data processing systems using Databricks. 4. Data Scientists: Data scientists who want to learn how to use Databricks for data processing and analysis. 5. IT Professionals: IT professionals who want to learn how to use Databricks for data processing and analysis. 6. Business Analysts: Business analysts who want to learn how to use Databricks for data processing and analysis. 7. Data Analysts: Data analysts who want to learn how to use Databricks for data processing and analysis. |
| Average Salary in Market | The average salary for a Databricks Certified Professional Data Engineer ranges from $120,000 to $180,000 per year, depending on the location, experience, and industry. It's important to note that this is just an estimate, and actual salaries may vary. |
| Testing Provider | You can visit the official Databricks website to learn more about the certification and how to register for the exam. |
| Recommended Experience | According to the official Databricks website, the recommended experience for the Databricks-Certified-Professional-Data-Engineer exam is: - At least 6 months of experience using Databricks for data engineering tasks - Familiarity with Apache Spark and its core concepts - Knowledge of data modeling and data warehousing principles - Experience with SQL and programming languages such as Python or Scala - Understanding of cloud computing platforms such as AWS or Azure It is also recommended to have completed the Databricks Data Engineering with Apache Spark course or have equivalent knowledge and experience. |
| Prerequisite | Based on the information available on the Databricks website, the prerequisites for the exam may include:
It is recommended to review the exam guide and study materials provided by Databricks to ensure you meet the prerequisites and are prepared for the exam. |
| Retirement (If Applicable) | It is recommended to check with Databricks or their official website for the latest updates on the exam. |
| Certification Track (RoadMap): | The certification track or roadmap for the Databricks Certified Professional Data Engineer exam is a set of guidelines and requirements that candidates must follow in order to become certified as a data engineer by Databricks. The roadmap includes a series of courses, training programs, and exams that candidates must complete in order to demonstrate their proficiency in using Databricks to design, build, and maintain data pipelines and data processing systems. The certification track typically includes courses in data engineering, data processing, data modeling, and data analysis, as well as hands-on experience working with Databricks tools and technologies. Once candidates have completed the required coursework and passed the certification exam, they will be recognized as certified data engineers by Databricks and will be eligible for a range of career opportunities in the field of data engineering. |
| See Expected Questions | Databricks Databricks-Certified-Professional-Data-Engineer Expected Questions in Actual Exam |
| Take Self-Assessment | Use Databricks Databricks-Certified-Professional-Data-Engineer Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure |
TESTED 09 May 2024
