DP-100 is a second level associate certificate examination for candidates who want to set a career in Machine Learning Methodologies, Data Science and Microsoft Artificial Intelligence.
This certificate examination seeks applicants to be well versed with the concepts of Azure data fundamentals, similar to the curriculum followed in the DP-900 certification examination. However, the DP-900 exam is not a mandate but an aid required to ace the Microsoft certification training DP-100 certification examination.
Preparation Tips for The Examination
For various Microsoft online courses, you need proper planning and training. To attain the Microsoft certified professional certificate, you need to set robust strategies and prepare for all the divisions. From cloud security to IT concepts, these Microsoft certifications seek to decode the capabilities in you.
All Microsoft certification courses apply the same norms of consistent practice, dedication and upgrading with the trends-
1. Allocating Resources for Machine Learning (25-30%)
- Upkeep of the data in the Machine Learning space
- Ensure experimental computes in Machine Learning
- Execute security measures and configuration in Machine Learning
- Establish a Machine Learning Ambience
- Establish an Azure
- Databricks setup
2. Experiments and Training Demonstrations (20-25%)
- Fabricate models with the help of Azure Machine Learning Designer
- Execute training-based scripts
- Work and make metrics for conducting experiments.
- Create optimal models using Machine Learning.
- Decentralise work for easier conduction of operations.
3. Learn Machine Learning Solutions (35-40%)
- Choose to compute for deploying models
- Management of models in ML space
- Ensure a pathway for Batch Inferencing
- A web service using a designer pipeline
- Execution of pipelines with the help of Azure Machine Learning SDK
- Application of ML Ops
4. Learning (5-10%)
- Induce model explainers for implementation of models
- Enhance considerations for models
- Ensure privacy concerns of data
