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Exam Number : DCPDS
Exam Name : Databricks Certified Professional Data Scientist
Vendor Name : Databrick
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Exam Detail:
The DCPDS (Databricks Certified Professional Data Scientist) test is a certification test that validates the knowledge and skills of individuals in data science using Databricks. Here are the test details for the DCPDS certification:
- Number of Questions: The test typically consists of multiple-choice questions and hands-on exercises. The exact number of questions may vary, but typically, the test includes around 60 to 80 questions.
- Time Limit: The time allocated to complete the test is 2 hours (120 minutes).
Course Outline:
The DCPDS certification course covers various subjects related to data science using Databricks. The course outline typically includes the following topics:
1. Introduction to Databricks:
- Understanding the basics of Databricks and its role in data science.
- Navigating the Databricks workspace and user interface.
2. Data Exploration and Preparation:
- Exploring and understanding data using Databricks.
- Performing data preprocessing tasks such as data cleaning, transformation, and feature engineering.
3. Machine Learning with Databricks:
- Applying machine learning algorithms and techniques using Databricks.
- Building and training machine learning models.
- Evaluating and tuning model performance.
4. Advanced Analytics and Visualization:
- Using Databricks for advanced analytics tasks such as clustering, time series analysis, and text analysis.
- Visualizing data and model results using Databricks' visualization tools.
5. Model Deployment and Monitoring:
- Deploying machine learning models in production using Databricks.
- Monitoring and evaluating model performance and making necessary adjustments.
6. Collaborative Workflows:
- Working collaboratively with other data scientists and stakeholders in Databricks.
- Sharing and presenting insights and results using Databricks' collaboration features.
Exam Objectives:
The objectives of the DCPDS test are as follows:
- Assessing candidates' understanding of Databricks and its role in data science.
- Evaluating candidates' knowledge and proficiency in data exploration and preparation using Databricks.
- Testing candidates' skills in applying machine learning algorithms and techniques using Databricks.
- Assessing candidates' ability to perform advanced analytics tasks and visualize data in Databricks.
- Evaluating candidates' competence in deploying and monitoring machine learning models in Databricks.
- Testing candidates' understanding of collaborative workflows and effective communication in Databricks.
Exam Syllabus:
The specific test syllabus for the DCPDS certification covers the following areas:
1. Databricks Basics: Understanding the Databricks workspace, user interface, and collaborative features.
2. Data Exploration and Preparation: Performing data exploration, cleaning, and transformation using Databricks.
3. Machine Learning with Databricks: Applying machine learning algorithms and techniques in Databricks.
4. Advanced Analytics and Visualization: Performing advanced analytics tasks and visualizing data in Databricks.
5. Model Deployment and Monitoring: Deploying and monitoring machine learning models in Databricks.
6. Collaborative Workflows: Working collaboratively and effectively communicating with stakeholders in Databricks.
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