MICROSOFT
DP-800: Advanced T-SQL, Vector Search, and RAG
A support agent asks an AI assistant, ‘Which replacement part fixed similar pump failures last year?’ The database holds structured…
EXAMTOPICS EDITORIAL
Author: admin
MICROSOFT
DP-800: Securing and Deploying AI-Enabled SQL Systems
A team launches an AI-powered reporting feature against a database containing customer contracts. The assistant answers ordinary questions beautifully, but…
MICROSOFT
AZ-900: Understanding the Azure Decision Map
Azure Fundamentals becomes easier when the services stop looking like a catalogue and start looking like decisions. A small company…
MICROSOFT
AZ-900: Regions, Compute, and Resilience
Cloud architecture begins with location and failure boundaries, not a diagram full of service logos. A product team may need…
MICROSOFT
AZ-900: Identity, Access, and Trust
Picture a finance analyst opening an Azure-hosted reporting application from a hotel Wi-Fi network. The organization wants to verify who…
MICROSOFT
AZ-900: How Azure Networking Fits Together
A web application needs visitors to reach a public front end while keeping its database private. The developers also want…
MICROSOFT
AZ-900: Storage, Durability, and Data Choices
A photo-sharing application keeps uploaded images, user profiles, audit records and temporary processing files. Calling all four “data” hides the…
MICROSOFT
AI-200: Building Reliable Container Backends
An AI application can look convincing in a notebook and still fail when real users reach it. A model-powered service…
MICROSOFT
AI-200: Cosmos DB for Vector Retrieval
A support assistant is useful only when it can retrieve the right evidence from an organization’s own records. A confident…
MICROSOFT
AI-200: PostgreSQL, Redis, and RAG
An AI assistant answering questions about customer contracts has to do two things well: find the right source material and…
MICROSOFT
AI-200: Asynchronous Workflows on Azure
A user uploads a hundred-page document and expects an AI application to summarize it. The work might take longer than…
MICROSOFT
AI-200: Securing and Observing AI Services
A retrieval service seems healthy because its home page responds, yet users say that some answers are empty and others…
DATABRICKS
Databricks Data Engineer Professional: Beyond the Pipeline
A data pipeline that finishes once is a prototype. A production data platform has to finish reliably tomorrow, survive a…
DATABRICKS
Databricks Ingestion: Reliable Data at Scale
An ingestion system has two jobs that are easy to confuse: discovering new input and establishing what the input means.…
DATABRICKS
Databricks Transformations That Preserve Meaning
Most data-quality failures are not syntax errors. The Spark job finishes, the Delta table exists and the dashboard renders, but…