Amazon AWS AIP-C01: Testing and Evaluation
Testing a generative AI application is fundamentally different from testing a deterministic API. The same prompt can produce several acceptable answers, and a response can […]
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Certifications & Careers
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FROM THE EDITORIAL LIBRARY
Articles on Certifications & Careers
CompTIA SY0-701: Threat Actors and Attack Vectors
Threat analysis starts with two different questions: who is likely to attack, and how are they likely to reach the target? The CompTIA Security+ SY0-701 […]
Read articleCompTIA SY0-701: Vulnerabilities and Mitigations
A vulnerability is a weakness that can be exploited or abused; a mitigation is a control that reduces the likelihood or impact of that exploitation. […]
Read articleCompTIA SY0-701: Secure Architecture Decisions
Security architecture is the practice of designing systems so that controls, trust boundaries, data flows and recovery mechanisms work together. In the CompTIA Security+ SY0-701 […]
Read articleCompTIA SY0-701: Identity and Access Management
Identity and access management determines who or what is requesting access, how that identity is verified and what the identity is allowed to do. The […]
Read articleAnthropic CCA-F: Structured Outputs That Work
A language-model response can look correct to a person while being unusable to software. An extraction service may return elegant prose instead of a required […]
Read articleAnthropic CCA-F: Managing Context Reliably
Long context does not guarantee accurate context. A Claude assistant may reopen a case with thousands of tokens of history, including superseded conclusions, stale account […]
Read articleAnthropic CCA-F: Choosing Agent Architectures
Architecture discussions often begin with model size or the number of agents. Neither is the right starting point. Consider an access-review assistant that first summarizes […]
Read articleAnthropic CCA-F: Testing Agents and Guardrails
An agent can produce the right answer for the wrong reasons. It might correctly flag an expense claim while reading another employee’s confidential receipt, invent […]
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 that brings together […]
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 latest version of […]
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 runtime that allows […]
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 timing. It is […]
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 applications also consume […]
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 AI systems add […]
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