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Showing 20 results for “Amazon Web Services”. More results are available below.
AWS-AIB · AI security boundaries
This concept review develops the reasoning needed for ai security boundaries. Start by identifying the relevant assets, permissions, evidence and trust boundaries. Distinguish what the obser…
AWS-AIB · Generative AI systems
A generative model produces output based on its learned patterns and the context it receives. Retrieval can supply relevant documents, but the model may still misunderstand or invent details…
AWS-AIB · Portfolio and investment governance
Portfolio decisions compare initiatives by strategic contribution, expected value, risk and resource needs. Evaluate the combined commitments rather than approving every attractive project i…
AWS-AIB · Responsible AI evaluation
Aggregate accuracy can hide poor performance for particular users or situations. Evaluate representative subgroups and realistic failure cases, and consider privacy, misuse and human oversig…
AWS-AIF · AI foundations
Supervised learning uses labeled examples to learn a relationship between inputs and a target. Classification predicts a category; regression predicts a numeric value. Unsupervised approache…
AWS-AIF · AWS AI and machine learning
…on models through AWS APIs. Which service is relevant? Amazon Bedrock Bedrock provides foundation-model capabilities; network and infrastructure services do not perform model inference.
AWS-AIF · Generative AI systems
A generative model produces output based on its learned patterns and the context it receives. Retrieval can supply relevant documents, but the model may still misunderstand or invent details…
AWS-AIP · AI security boundaries
This concept review develops the reasoning needed for ai security boundaries. Start by identifying the relevant assets, permissions, evidence and trust boundaries. Distinguish what the obser…
AWS-AIP · Application and API design
An API contract defines accepted inputs, authorization, outputs and failure behavior. Clients need predictable responses and safe handling of timeouts and retries. Validate data at the bound…
AWS-AIP · AWS AI and machine learning
…on models through AWS APIs. Which service is relevant? Amazon Bedrock Bedrock provides foundation-model capabilities; network and infrastructure services do not perform model inference.
AWS-AIP · Generative AI systems
A generative model produces output based on its learned patterns and the context it receives. Retrieval can supply relevant documents, but the model may still misunderstand or invent details…
AWS-ANS · Advanced routing design
Large networks need explicit decisions about which routes to learn, advertise and prefer. Summarization reduces routing information but can hide detail, while redistribution joins routing do…
AWS-ANS · AWS network design
A VPC connection creates part of a network path, but resources also need suitable routes, address planning, security controls and name resolution. Trace traffic from the source subnet throug…
AWS-ANS · Network troubleshooting
Network troubleshooting narrows the boundary between success and failure. Compare affected and unaffected devices, then examine link state, addressing, routes, name resolution and the applic…
AWS-CLF · Cloud Concepts
AWS lists six advantages of cloud computing that the exam quotes almost verbatim. Trade fixed expense for variable expense: pay only for what you consume. Benefit from massive economies of s…
AWS-CLF · Cloud Concepts
The AWS Well-Architected Framework describes six pillars for designing workloads. Operational Excellence: run and monitor systems and continually improve procedures. Security: protect data a…
AWS-CLF · Cloud Concepts
…o be cloud-native, for example with serverless or microservices, the most effort but most benefit. Repurchase replaces it with a SaaS product. Retain keeps it where it is for now. Retire shu…
AWS-CLF · Cloud Concepts
The AWS Cloud Adoption Framework organises a migration programme into six perspectives so that the whole organisation, not just engineers, is ready. Business focuses on strategy and value re…
AWS-CLF · Cloud Concepts
Two words are constantly mixed up in scenarios. Elasticity means capacity grows and shrinks automatically with demand, so you are not paying for idle servers overnight; EC2 Auto Scaling deli…
AWS-CLF · Cloud Concepts
…ing or scaling does not break the others. Instead of a web server calling a specific worker directly, it places a message on an Amazon SQS queue or publishes to an Amazon SNS topic, and any …
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