Databricks is a unified analytics platform designed to help data teams process large datasets and provide valuable insights into business operations. Databricks Certified Professional Data Scientist Exam exam is designed to test the knowledge and skills of data scientists working with the Databricks platform. Passing this exam will help candidates demonstrate their ability to work with data using Databricks tools and technologies. In this article, we will cover the topics covered in the Databricks Certified Professional Data Scientist Exam exam, exam objectives, exam details, who should take the exam, prerequisites and qualifications, and related books to help candidates pass the exam.
Exam Objectives:
- Understand the basics of the Databricks platform, including its architecture, features, and use cases.
- Work with data using the Databricks platform, including importing, cleaning, transforming, and visualizing data.
- Apply statistical and machine learning techniques to data using the Databricks platform.
- Create and manage machine learning pipelines using the Databricks platform.
- Deploy machine learning models on the Databricks platform.
Exam Details:
The Databricks Certified Professional Data Scientist Exam exam costs $400 and requires a passing score of 70%. Candidates are given two hours to complete the exam, which consists of multiple-choice and true/false questions. The exam is delivered online and can be taken from any location. Candidates can choose from two formats for the exam: Standard and Proctored. The Standard format is self-paced and does not require an exam proctor. The Proctored format requires a live exam proctor and is scheduled in advance.
Who should take the exam?
The Databricks Certified Professional Data Scientist Exam exam is designed for data scientists who work with the Databricks platform. This exam is suitable for individuals who have experience working with big data technologies, such as Apache Spark and Hadoop, and are looking to demonstrate their skills and knowledge of the Databricks platform.
Prerequisites and qualifications:
There are no formal prerequisites for taking the Databricks Certified Professional Data Scientist Exam exam. However, candidates should have experience working with big data technologies, such as Apache Spark and Hadoop, and be familiar with data science concepts and techniques, including machine learning and statistical analysis.
Related Books:
There are several books that can help candidates prepare for the Databricks Certified Professional Data Scientist Exam exam, including:
- Learning Spark: Lightning-Fast Big Data Analysis by Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia
- Python Machine Learning by Sebastian Raschka and Vahid Mirjalili
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurélien Géron
- Programming Collective Intelligence: Building Smart Web 2.0 Applications by Toby Segaran
These books cover topics such as big data processing, machine learning, and statistical analysis, which are all important areas of knowledge for the Databricks Certified Professional Data Scientist Exam exam.
Related Courses:
Databricks also offers a variety of courses to help candidates prepare for the Databricks Certified Professional Data Scientist Exam exam. Some of the relevant courses include:
- Data Science Essentials
- Machine Learning with Apache Spark
- Advanced Machine Learning with Apache Spark
- Production Machine Learning Pipelines with Apache Spark
- Deep Learning with Apache Spark
These courses cover the topics that are important for the Databricks Certified Professional Data Scientist Exam exam, including machine learning, data processing, and statistical analysis using the Databricks platform.
Conclusion:
The Databricks Certified Professional Data Scientist Exam exam is an important certification for data scientists who work with the Databricks platform. Candidates who pass this exam demonstrate their knowledge and skills in data processing, machine learning, and statistical analysis using the Databricks platform. To prepare for the exam, candidates can take relevant courses and read related books. With the right preparation, candidates can successfully pass the exam and become certified Databricks professionals.