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The Microsoft DP-100 exam is created for the individuals who are involved in implementing machine learning techniques. The candidates for this certification test should have an in-depth knowledge of identifying and preparing the development environment, applying scientific data and rigor exploration techniques to acquire actionable insights along with communicating results to the stakeholders. They should also possess the skills in preparing data for modeling and developing models. In addition, they should also be able to apply machine learning techniques to train, deploy and evaluate models to build any AI solutions, which satisfy the business objectives.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
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| Schedule Exam | Pearson VUE |
| Books / Training | DP-100T01-A: Designing and Implementing a Data Science Solution on Azure |
| Number of Questions | 40-60 |
| Exam Price | $165 (USD) |
| Exam Name | Microsoft Certified - Azure Data Scientist Associate |
| Exam Code | DP-100 |
| Sample Questions | Microsoft Designing and Implementing a Data Science Solution on Azure Sample Questions |
| Duration | 120 mins |
| Passing Score | 700 / 1000 |
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Explore data and run experiments | 20-25% | - Run experiments
|
| Topic 2: Optimize language models for AI applications | 25-30% | - Optimize with Retrieval Augmented Generation
|
| Topic 3: Train and deploy models | 25-30% | - Train models
|
| Topic 4: Design and prepare a machine learning solution | 20-25% | - Design a machine learning solution
|
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