Microsoft Certified:SQL AI Developer Associate
Domain 3Objective 1
Design and Implement Models and Embeddings DP-800 Practice Questions (Page 1)
Part of the Implement AI capabilities in database solutions domain, which accounts for 25–30% of the DP-800 exam. Microsoft does not publish an official question count, but from its 120-minute exam (~50–80 total, ~13–24 in this domain), expect 4–8 from this objective — we provide 33 practice questions to prepare you well beyond it. (estimate)
33questions here
7free pages
7concepts
25–30%of the exam
Questions 1–5
- 1
A news agency stores full articles in a SQL database. They want to generate embeddings for semantic search. Articles vary in length from 500 to 10,000 words. The embedding model has a token limit of 512 tokens. What is the best chunking strategy?
Select an answer first - 2
A legal firm stores long court documents in a SQL database. They want to generate embeddings for these documents to enable semantic search. The documents are often over 100 pages. The embedding model has a maximum input token limit of 8,000 tokens. What is the recommended approach for chunking the documents?
Select an answer first - 3
What is the primary purpose of chunking data before generating embeddings?
Select an answer first - 4
A university uses Azure SQL Database to store research papers. They have an external model that generates embeddings for these papers. The model vendor announces that the current version will be deprecated in six months. The team needs to plan for the transition. What should they do first?
Select an answer first - 5
What is the output of an embedding generation process?
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