Microsoft AZ-104: Blob and Files Lifecycle
Storage administration does not stop when data is written. Over time, data becomes less active, copies accumulate, users delete files accidentally and…
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Cloud & AI
Understand cloud architecture, Amazon AWS, Microsoft Azure, Google Cloud and emerging AI applications.
Cloud computing is a set of engineering decisions, not just a list of products to memorize. Choosing an architecture means understanding resilience, identity, networks, costs and the operational trade-offs behind managed services. Artificial intelligence makes those decisions more consequential: evaluation, context, reliability and security matter at least as much as model choice.
For candidates, Amazon AWS provides a broad set of certification tracks, including AWS Solutions Architect – Associate (SAA-C03). Microsoft Azure Administrator (AZ-104) emphasizes operational responsibilities, while Azure AI Fundamentals (AI-901) focuses on implementing AI solutions with Microsoft Foundry. Explore the concepts first, then examine the qualification that actually matches the work you intend to do.
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Microsoft AZ-104: Storage Access and SAS
Azure Storage security is a question of identity, network reach and the exact permissions a client needs. The AZ-104 exam expects administrators…
Read articleMicrosoft AZ-104: Azure Policy and Governance
Azure governance becomes difficult when an environment grows beyond a few subscriptions and resource groups. Administrators are no longer making isolated configuration…
Read articleMicrosoft AI-103: Content Understanding
Content Understanding is designed for a common enterprise problem: information arrives in formats that are easy for people to inspect but difficult…
Read articleMicrosoft AI-103: Text and Speech Solutions
Text and speech workloads look familiar because they have existed in Azure AI for years, but AI-103 places them inside a newer…
Read articleMicrosoft AI-103: Multimodal AI Workflows
Multimodal AI works across more than one kind of input or output: text, images, audio, video and documents. The engineering challenge is…
Read articleMicrosoft AI-103: AI Observability and Evaluation
Traditional application monitoring answers questions such as whether a service is available, how long requests take and how many errors occur. Generative…
Read articleMicrosoft AI-103: Securing AI Workloads
AI workloads introduce familiar cloud-security requirements and several new ones. Identity, network isolation, secrets management and least privilege still matter, but generative…
Read articleMicrosoft AI-103: Multi-Agent Orchestration
Multi-agent architecture is useful when a complex task can be decomposed into parts that benefit from different instructions, tools, context or execution…
Read articleMicrosoft AI-103: Building Agents in Foundry
An agent is more than a chatbot with a longer prompt. It combines a model with instructions, state, tools, knowledge and a…
Read articleMicrosoft AI-103: RAG and Vector Search
Retrieval-augmented generation solves a practical problem: language models are powerful, but they do not automatically know an organization’s private data or the…
Read articleMicrosoft AI-103: Foundry Service Selection
Service selection is one of the most important AI-103 skills because Microsoft Foundry is not a single feature. It is a platform…
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