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AIF-C01 / Domain 1 / 20%

Fundamentals of AI and ML

AI/ML terminology, model types, training, inference, and use-case recognition.

Practice This DomainBack to certification

Official Task Statements

TaskWhat to prove
AIF-1.1Explain basic AI concepts and terminologies.
AIF-1.2Identify practical use cases for AI.
AIF-1.3Describe the AI/ML development lifecycle.

Concepts You Need to Understand

  • AI versus ML versus deep learning, supervised and unsupervised learning, inference, features, labels, datasets, model lifecycle, and business use cases.

AWS services involved

  • SageMaker AI
  • Comprehend
  • Rekognition
  • Translate
  • Textract

Important configurations

  • Identify whether a managed AI service is enough or whether custom model training is required.

Exam Decision Patterns

Least operational overhead

Prefer managed and serverless services when they satisfy the requirement. Exceptions appear when the scenario needs host control, unsupported runtimes, specialized network behavior, or exact migration compatibility.

Highly available

Identify the failure boundary. One instance is not HA. Multiple instances in one AZ help capacity but not AZ failure. Multi-AZ handles regional AZ faults. Multi-Region handles regional events but adds complexity and cost.

Durable

Durability is about preserving data. Use replication, versioning, backups, point-in-time recovery, and tested restore plans. A durable backup does not guarantee a low RTO.

Decouple the application

Use SQS for buffering work, SNS for fanout, EventBridge for event routing, and Step Functions for visible workflow state. Add retries, DLQs, and idempotent consumers.

Least privilege

Prefer roles and temporary credentials, scope actions/resources/conditions, watch explicit denies, and remember that resource policies may also be required.

Common Mistakes

  • Calling any automation AI.
  • Ignoring data quality and labeling.

Example Architecture

Cross-Account Access A principal assumes a role in another account and the resource policy plus CloudTrail evidence define and record access. Cross-Account Access Account A PrincipalSTS AssumeRoleAccount B RoleResource PolicyCloudTrail
A principal assumes a role in another account and the resource policy plus CloudTrail evidence define and record access.

Hands-On Activity

Take a public dataset description and list features, labels, and likely bias risks.

For an AWS-account lab, use one of the linked mini labs and keep cleanup steps visible before you start.

Task-by-Task Study Notes

AIF-1.1 - Explain basic AI concepts and terminologies.

Read this task as a decision problem: identify the workload requirement, the control or service family involved, and the tradeoff AWS is testing. The validated local corpus connects this objective to 4 official AWS sources and identifies these study anchors:

  • Explain basic AI concepts and terminologies.
  • Fundamentals of AI and ML
  • SageMaker AI
  • Comprehend
  • Rekognition
  • Translate
  • Textract

How to apply the material

  • Translate the wording into requirements: security, operations, cost, availability, latency, governance, or data behavior.
  • Choose the service or configuration that directly satisfies those requirements with the least unnecessary complexity.
  • Reject options that are technically possible but miss the domain goal or increase risk without a requirement.

Explain before memorizing

Know this distinction: explain why the selected approach fits the requirement, what it does not provide, and which customer-managed control remains. Then test the explanation against a changed constraint: a different failure boundary, traffic pattern, data sensitivity, latency target, or operating-cost limit.

Exam habit: when two answers seem technically possible, prefer the one that matches the stated outcome and shared-responsibility boundary. Do not assume that a managed service removes identity, data-protection, configuration, monitoring, recovery, or cost responsibilities.

Mastery check before Arcade practice

  • I can define the central terms and explain what problem the objective is solving.
  • I can select the best answer from a realistic scenario without relying on a product name alone.
  • I can explain why the closest distractor is wrong when one requirement changes.
  • I can identify the AWS-managed boundary and the customer-managed control that remains.
  • I can predict the main availability, security, scaling, operations, or cost consequence of the choice.

Use the Arcade after you can explain all five checks aloud or in writing. If an answer is correct only because it looks familiar, return to the source anchors and compare the service purpose, constraints, and tradeoffs again.

Practice AIF-1.1 style questions in this domain

Official AWS references for this objective

Sources are from the validated local corpus; retrieved 2026-08-14. Retrieval metadata and hashes are retained in the corpus manifest.

AIF-1.2 - Identify practical use cases for AI.

Read this task as a decision problem: identify the workload requirement, the control or service family involved, and the tradeoff AWS is testing. The validated local corpus connects this objective to 3 official AWS sources and identifies these study anchors:

  • Identify practical use cases for AI.
  • Fundamentals of AI and ML
  • SageMaker AI
  • Comprehend
  • Rekognition
  • Translate
  • Textract

How to apply the material

  • Translate the wording into requirements: security, operations, cost, availability, latency, governance, or data behavior.
  • Choose the service or configuration that directly satisfies those requirements with the least unnecessary complexity.
  • Reject options that are technically possible but miss the domain goal or increase risk without a requirement.

Explain before memorizing

Know this distinction: explain why the selected approach fits the requirement, what it does not provide, and which customer-managed control remains. Then test the explanation against a changed constraint: a different failure boundary, traffic pattern, data sensitivity, latency target, or operating-cost limit.

Exam habit: when two answers seem technically possible, prefer the one that matches the stated outcome and shared-responsibility boundary. Do not assume that a managed service removes identity, data-protection, configuration, monitoring, recovery, or cost responsibilities.

Mastery check before Arcade practice

  • I can define the central terms and explain what problem the objective is solving.
  • I can select the best answer from a realistic scenario without relying on a product name alone.
  • I can explain why the closest distractor is wrong when one requirement changes.
  • I can identify the AWS-managed boundary and the customer-managed control that remains.
  • I can predict the main availability, security, scaling, operations, or cost consequence of the choice.

Use the Arcade after you can explain all five checks aloud or in writing. If an answer is correct only because it looks familiar, return to the source anchors and compare the service purpose, constraints, and tradeoffs again.

Practice AIF-1.2 style questions in this domain

Official AWS references for this objective

Sources are from the validated local corpus; retrieved 2026-08-14. Retrieval metadata and hashes are retained in the corpus manifest.

AIF-1.3 - Describe the AI/ML development lifecycle.

Read this task as a decision problem: identify the workload requirement, the control or service family involved, and the tradeoff AWS is testing. The validated local corpus connects this objective to 4 official AWS sources and identifies these study anchors:

  • Describe the AI/ML development lifecycle.
  • Fundamentals of AI and ML
  • SageMaker AI
  • Comprehend
  • Rekognition
  • Translate
  • Textract

How to apply the material

  • Translate the wording into requirements: security, operations, cost, availability, latency, governance, or data behavior.
  • Choose the service or configuration that directly satisfies those requirements with the least unnecessary complexity.
  • Reject options that are technically possible but miss the domain goal or increase risk without a requirement.

Explain before memorizing

Know this distinction: explain why the selected approach fits the requirement, what it does not provide, and which customer-managed control remains. Then test the explanation against a changed constraint: a different failure boundary, traffic pattern, data sensitivity, latency target, or operating-cost limit.

Exam habit: when two answers seem technically possible, prefer the one that matches the stated outcome and shared-responsibility boundary. Do not assume that a managed service removes identity, data-protection, configuration, monitoring, recovery, or cost responsibilities.

Mastery check before Arcade practice

  • I can define the central terms and explain what problem the objective is solving.
  • I can select the best answer from a realistic scenario without relying on a product name alone.
  • I can explain why the closest distractor is wrong when one requirement changes.
  • I can identify the AWS-managed boundary and the customer-managed control that remains.
  • I can predict the main availability, security, scaling, operations, or cost consequence of the choice.

Use the Arcade after you can explain all five checks aloud or in writing. If an answer is correct only because it looks familiar, return to the source anchors and compare the service purpose, constraints, and tradeoffs again.

Practice AIF-1.3 style questions in this domain

Official AWS references for this objective

Sources are from the validated local corpus; retrieved 2026-08-14. Retrieval metadata and hashes are retained in the corpus manifest.

Review Checklist

Sources and Review Metadata