Designing and Implementing a Data Science Solution on Azure (beta) DP-100 Exam
Designing and Implementing a Data Science Solution on Azure (beta) DP-100 Exam which is related to Microsoft Certified Azure Data Scientist Associate Certification. This DP-100 exam validates the ability to apply scientific rigor and data exploration techniques to gain actionable insights and communicate results to stakeholders. This DP-100 exam also tests the Candidate knowledge to use machine learning techniques to train, evaluate, and deploy models to build AI solutions that satisfy business objectives. Candidates must have skills to use applications that involve natural language processing, speech, computer vision, and predictive analytics. Azure Data Scientist usually hold or pursue this certification and you can expect the same job role after completion of this certification.
Reference: https://www.microsoft.com/en-us/learning/exam-dp-100.aspx
4. Models Deployment and Consumption (20-25%):
- Model-as-a-Service deployment: This subtopic will measure the individuals’ expertise in configuring deployment settings, troubleshooting issues with deployment containers, and consuming deployed services.
- Creation of pipelines for batch inferencing: This subject area covers your competence in running batch inferencing pipelines and obtaining outputs as well as publishing batch inferencing pipelines.
- Production computes targets creation: The test takers should perform their skills in compute options evaluation for deployment and consideration of security for deployed services.
- Designer pipeline publishing as a web service: The candidates should show their knowledge of target compute resources creation, inference pipelines configuration, and deployed endpoints consuming.
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How to book the DP-100 Exam
These are following steps for registering the DP-100 exam. Step 1: Visit to Microsoft Exam Registration Step 2: Signup/Login to MICROSOFT account Step 3: Search for MICROSOFT DP-100 Certifications Exam Step 4: Select Date and Center of examination and confirm with payment value of $165
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Microsoft DP-100 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Optimize language models for AI applications | 25-30% | - Implement generative AI solutions
|
| Topic 2: Design and prepare a machine learning solution | 20-25% | - Manage data assets
|
| Topic 3: Train and deploy models | 25-30% | - Monitor and maintain models
|
| Topic 4: Explore data and run experiments | 20-25% | - Run experiments
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