Certifications
Fortinet NSE4_FGT_AD-7.6: Exam Domains and a Practical Study Plan
Home/Certifications/Fortinet/Fortinet NSE4_FGT_AD-7.6: Exam Domains and a Practical Study Plan FortinetUpdated October 13, 2026 · 11 min read The Fortinet NSE 4 – FortiOS 7.6 Administrator exam tests whether you can administer and troubleshoot a FortiGate in real operational situations, not merely recognize interface labels. Its scope spans initial deployment, identity-aware policy, inspection controls, routing, SD-WAN, and IPsec VPNs. A defensible preparation plan therefore links each objective to a small configuration exercise, the evidence that proves it works, and the failure that would send you back to logs, routing, or the…
Fortinet NSE4_FGT_AD-7.6: Secure Initial Configuration and Recovery
Home/Certifications/Fortinet/Fortinet NSE4_FGT_AD-7.6: Secure Initial Configuration and Recovery FortinetUpdated October 13, 2026 · 10 min read A new FortiGate becomes useful only when its management plane is protected, the intended interfaces and routes work, and someone can recover from an unsafe change. In FortiOS 7.6, initial configuration is therefore more than choosing an address for a port. Administrators must distinguish trusted management access from transit traffic, confirm licensing and time-sensitive services, verify how sessions will reach the upstream network, and preserve a tested rollback path. This Fortinet NSE4_FGT_AD-7.6 deployment guide follows…
Fortinet NSE4_FGT_AD-7.6: LDAP, RADIUS and FSSO Policy Identity
Home/Certifications/Fortinet/Fortinet NSE4_FGT_AD-7.6: LDAP, RADIUS and FSSO Policy Identity FortinetUpdated October 13, 2026 · 10 min read Identity-based FortiGate policy depends on three separate facts: who the user is, which groups that identity belongs to, and which current traffic source represents the user. A firewall may authenticate a person correctly yet still select the wrong rule because a group is missing, the identity-to-IP mapping is stale, or a broader policy matches first. The Fortinet NSE4_FGT_AD-7.6 blueprint explicitly includes LDAP, RADIUS, active and passive authentication, and Fortinet Single Sign-On (FSSO), so candidates…
Fortinet NSE4_FGT_AD-7.6: FortiGate VM, CNF and FortiSASE
Home/Certifications/Fortinet/Fortinet NSE4_FGT_AD-7.6: FortiGate VM, CNF and FortiSASE FortinetUpdated October 13, 2026 · 10 min read The Fortinet NSE 4 – FortiOS 7.6 Administrator blueprint includes two cloud-oriented subjects that are easy to blur together: FortiGate virtual or cloud-native firewalls protecting application networks, and FortiSASE providing centrally delivered security services for remote users. The first question is where traffic is routed for inspection and where the firewall runs; the second is how an identity, device, and application session receives security enforcement. Preparing for Fortinet NSE4_FGT_AD-7.6 means understanding the deployment boundary, data…
Amazon AWS AIP-C01: Bedrock Converse Streaming and Failure Testing
Home/Certifications/Amazon/AWS AIP-C01: Bedrock Converse APIs, Streaming and Failure Testing AmazonUpdated October 13, 2026 · 9 min read A generative-AI application is only as reliable as its request contract and error handling. This AIP-C01 guide separates Converse and ConverseStream, checks IAM and response parsing, and exercises throttling, incomplete streams, guardrail responses and tool-call confirmation with a small authorized test corpus instead of claiming unrun code is production ready. On this pageSelect Converse or ConverseStream for the actual taskBuild independently verifiable request schemasAuthorize inference with the required IAM actionsTreat streaming events as…
Amazon AWS AIP-C01: Bedrock Data Automation and Multimodal Extraction
Home/Certifications/Amazon/AWS AIP-C01: Bedrock Data Automation and Multimodal Extraction AmazonUpdated October 13, 2026 · 9 min read Amazon Bedrock Data Automation processes documents, images, audio and video, but extraction accuracy depends on input rights, modality support, schemas and source-level validation. This AIP-C01 guide compares standard and custom outputs, illustrates a versioned evaluation set and shows where downstream business approval must remain separate from model-generated fields. On this pageDefine downstream output fields firstUnderstand BDA standard output and custom output separatelyModel projects and blueprints as versioned configurationCreate an asynchronous processing job with reliable…
Amazon AWS AIP-C01: AgentCore, MCP, and Secure Tool Integration
Home/Certifications/Amazon/AWS AIP-C01: AgentCore, MCP, and Secure Tool Integration AmazonUpdated October 13, 2026 · 9 min read An agent can request a tool operation, but authentication, authorization, parameter checking and confirmation belong to trusted systems. This AIP-C01 lab separates the agent runtime from an AgentCore gateway, explains MCP version differences and uses test-only data to evaluate a practical tool boundary without granting a model uncontrolled authority. On this pageDefine contracts before agent frameworksSeparate AgentCore Runtime, Gateway and agent reasoningTreat MCP capability negotiation as a versioned contractIsolate MCP server deploymentMake identity, scopes…
Amazon AWS AIP-C01: Exam Domains and Study Plan
Home/Certifications/Amazon/AWS AIP-C01 Exam Guide: Five Domains and a Practical Study Plan AmazonUpdated October 13, 2026 · 9 min read AWS Certified Generative AI Developer – Professional (AIP-C01) evaluates production-focused GenAI development rather than memorization of model names. This guide translates the current five AWS domains into a hands-on evidence plan, connects existing Bedrock engineering guides, and separates demonstrable skills from claims that still require real AWS account testing. On this pageVerify the credential, audience and official exam sourceAssign the five official domains their proper weightsDesign domain-one evidence around an actual…
Microsoft AI-901: Content Understanding for Documents and Media
Home/Certifications/Microsoft/Microsoft AI-901: Content Understanding for Documents and Media AI & Machine LearningUpdated October 13, 2026 · 8 min read Azure Content Understanding can turn supported documents, images and media into structured information, but a result is only valuable when its important fields can be traced back to the original input. AI-901 candidates should know when this differs from ordinary chat summarization, how to select a supported analyzer and API version, and how to validate fields and timestamps. This lab uses a synthetic invoice, a small permitted audio recording and a…
Microsoft AI-901: Vision, Image Generation and Safety Tests
Home/Certifications/Microsoft/Microsoft AI-901: Vision, Image Generation and Safety Tests AI & Machine LearningUpdated October 13, 2026 · 8 min read Visual AI tasks include describing an image, answering a question about it, reading embedded text, creating a new image and editing a supplied one. Those outputs cannot be evaluated using the same single “image quality” score. This AI-901 guide separates visual understanding from generation, introduces an accessible description and source-grounding checklist, and applies rights and safety gates before anyone distributes a generated artifact. The examples are deliberately small and respect model…
Microsoft AI-901: Text Analysis, Speech and Translation Labs
Home/Certifications/Microsoft/Microsoft AI-901: Text Analysis, Speech and Translation Labs AI & Machine LearningUpdated October 13, 2026 · 8 min read Text and audio tasks can appear similar when they are all called language AI, yet their inputs, sources of error and evidence requirements differ. AI-901 asks candidates to recognize and work with text analysis and speech-related capabilities in Microsoft Foundry and associated Azure tools. This beginner guide develops three small tests—extract information from text, transcribe an authorized recording, and translate or synthesize a phrase—while preserving uncertainty, source meaning and basic privacy…
Microsoft AI-901: Create and Test a First Foundry Agent
Home/Certifications/Microsoft/Microsoft AI-901: Create and Test a First Foundry Agent AI & Machine LearningUpdated October 13, 2026 · 8 min read A Foundry prompt agent can combine instructions, a selected model and permitted tools, but an agent is not simply a chatbot with more confident language. It can propose operations whose results must be validated by the hosting application. This beginner AI-901 lab creates one deliberately narrow agent, tests an ordinary information request, and challenges it with ambiguous inputs and unauthorized actions. The emphasis is on visible tool results, effective source…
Microsoft AI-901: Prompt Design and Python Chat Client Labs
Home/Certifications/Microsoft/Microsoft AI-901: Prompt Design and Python Chat Client Labs AI & Machine LearningUpdated October 13, 2026 · 8 min read A beginner can make a model answer a question in a portal without understanding how to reproduce the result in an application. This guide creates one small prompt contract, compares a revision against evidence, and translates the request to a version-pinned Python client for the correct Microsoft Foundry endpoint. It also tests refusals, throttling and structured output. The goal is a recoverable exercise grounded in the AI-901 objectives, not a…
Microsoft AI-901: Model Selection and Foundry Deployment Basics
Home/Certifications/Microsoft/Microsoft AI-901: Model Selection and Foundry Deployment Basics AI & Machine LearningUpdated October 13, 2026 · 8 min read The most expensive mistake in a beginner AI lab can be choosing a model or endpoint before understanding the task. Microsoft Foundry provides a catalog and deployment mechanisms, but deployment type, region, model capabilities and API contract must match the application. This AI-901 guide starts with an answerable problem, creates a tiny comparison set, explains identity and capacity, and ends with a model call that a second learner could reproduce. It…
Microsoft AI-901 Exam Guide: Skills and Practical Preparation
Home/Certifications/Microsoft/Microsoft AI-901 Exam Guide: Skills and Practical Preparation AI & Machine LearningUpdated October 13, 2026 · 8 min read Microsoft AI-901 is an entry-level exam with real implementation expectations. A candidate should be able to identify an AI workload, explain its responsible use, and follow the path from a Microsoft Foundry project to a small tested model or agent application. This guide turns the official objectives into a practical preparation map, keeps the retired AI-900 exam separate from the continuing Azure AI Fundamentals certification, and sets observable completion tests instead…