If you are looking to become a certified professional data scientist with Databricks, then the DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST exam is the right choice for you. This exam is designed to test your skills and knowledge in areas such as data exploration, data preparation, feature engineering, model building, and model deployment. Passing this exam will demonstrate your proficiency in using Databricks to solve complex data science problems.
Exam Objectives:
- Exploratory Data Analysis (EDA)
- Data Preparation
- Feature Engineering
- Model Building
- Model Tuning and Evaluation
- Model Deployment
The exam is designed for data scientists and machine learning engineers who are experienced in using Databricks for data science projects. Candidates should have a strong understanding of statistical analysis, machine learning, and programming concepts. Additionally, they should be familiar with Python or Scala programming languages, and have experience working with big data technologies such as Apache Spark and SQL.
Exam Details:
The DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST exam is a proctored, online exam that consists of 50 multiple-choice and multiple-response questions. Candidates have 2 hours to complete the exam and must achieve a passing score of 70% or higher. The exam is available in English and costs $300 per attempt. Candidates can schedule their exam at any time and take it from anywhere using a web camera and microphone.
Related Books:
There are several books that can help candidates prepare for the DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST exam. These include:
- "Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow" 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 Aurelien Geron
- "Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking" by Foster Provost and Tom Fawcett
- "Spark: The Definitive Guide: Big Data Processing Made Simple" by Bill Chambers and Matei Zaharia
These books cover topics such as machine learning algorithms, deep learning, data mining, and big data processing using Databricks. They provide in-depth explanations, practical examples, and hands-on exercises that can help candidates prepare for the exam.
Passing the DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST exam is a great way to demonstrate your skills and knowledge in using Databricks for data science projects. By preparing thoroughly and studying the relevant topics, you can increase your chances of passing the exam and becoming a certified professional data scientist.