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AWS Certified AI Practitioner (AIF-C01)

Practice for the new AWS AI/ML fundamentals cert.

Written against the published AWS specification.

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Pass mark 50/65 120 minutes AWS How many can I get wrong?
About this practice. Revision Robin is built and maintained by Bloor Engineering Ltd, a UK-registered company. Our AWS Certified AI Practitioner (AIF-C01) questions are written and reviewed in-house to match the current syllabus, each with a plain-English worked explanation. They are original practice material, not the official exam questions and not affiliated with or endorsed by AWS. Always confirm current test rules, fees and content with the official provider at AWS Certification. See our Terms and Privacy.
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Try 3 real AWS Certified AI Practitioner (AIF-C01) questions
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Q1. What is the main difference between generative AI and traditional discriminative/predictive AI models?
  • A.  Generative AI creates new content (text, images, audio) resembling its training data, while discriminative models classify or predict labels for given inputs
  • B.  Generative AI can only process numerical data, while discriminative AI only processes text
  • C.  Discriminative AI always requires more training data than generative AI
  • D.  Generative AI does not require any training data at all
Show answer & explanation
✓ Answer: A. Generative AI creates new content (text, images, audio) resembling its training data, while discriminative models classify or predict labels for given inputs
Generative models learn the underlying distribution of training data well enough to produce new, plausible examples, such as generating an image or paragraph. Discriminative models instead learn a boundary or mapping to predict a label or value for a given input, such as classifying an image as 'cat' or 'dog'.
Q2. What is the primary architectural innovation that underlies most modern large language models?
  • A.  Convolutional layers with max pooling
  • B.  The transformer architecture with self-attention mechanisms
  • C.  Decision tree ensembles
  • D.  K-means clustering layers
Show answer & explanation
✓ Answer: B. The transformer architecture with self-attention mechanisms
The transformer architecture, introduced in 2017, uses self-attention to weigh the relevance of different tokens in a sequence to one another, enabling it to model long-range context far better than earlier recurrent approaches. Convolutional and clustering methods are used in other machine learning domains, not as the core of modern LLMs.
Q3. A company observes that their foundation model gives significantly different quality answers depending on whether instructions appear at the start or end of a long prompt. What prompt engineering practice addresses this?
  • A.  Placing the most important instructions clearly and, where relevant, repeating them or positioning them prominently (e.g., near the start or end) rather than burying them in the middle
  • B.  Always using the maximum possible context window regardless of relevance
  • C.  Disabling the system prompt entirely
  • D.  Switching exclusively to zero-shot prompting for all tasks
Show answer & explanation
✓ Answer: A. Placing the most important instructions clearly and, where relevant, repeating them or positioning them prominently (e.g., near the start or end) rather than burying them in the middle
Models can be less attentive to instructions buried in the middle of very long prompts (a known 'lost in the middle' effect), so best practice is to place critical instructions prominently — often near the beginning and/or restated near the end — rather than relying on the model to fully weigh every position equally.
Exam format (pass mark, question count, timing) verified against AWS Certification. Questions are our own, not the official paper.
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65 random questions, real timing, marked against the official pass mark. Different every time.
The first 8 of 65 questions are free, with your score on them. Finishing the paper, your result against the pass mark and every answer explained come with the paid version.
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Topic drills
Ten quick questions on one topic, marked instantly with explanations.
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Fundamentals of AI, ML & deep learning · 45
Generative AI concepts & use cases · 47
Foundation models & prompt engineering · 73
Amazon Bedrock, SageMaker & AI services · 88
Responsible AI, bias, fairness & safety · 45
Security, governance & compliance for AI · 45

The real AWS Certified AI Practitioner (AIF-C01): format

How many questions are in the AWS Certified AI Practitioner (AIF-C01)?

The real AWS Certified AI Practitioner (AIF-C01) has 65 questions and lasts 90 minutes. Our mock uses 65 questions in 120 minutes.

What is the AWS Certified AI Practitioner (AIF-C01) pass mark?

Real exam pass mark: 700 (scaled score out of 1000). Our mock marks you at 50 out of 65, the threshold we mark against.

What it costs, and what a resit costs

How much does the AWS Certified AI Practitioner (AIF-C01) cost?

Rebooking after a fail: 14 calendar days.

How hard is it

How hard is the AWS Certified AI Practitioner (AIF-C01)?

Difficulty: Foundational.

Figures for the real exam from vertexaisearch.cloud.google.com, checked October 2026. Fees and rules change, so confirm with the test provider before you book.
AWS Certified AI Practitioner (AIF-C01): common questions
Frequently asked
How long do you get?
The test is timed at 120 minutes. Our full mock runs on the same clock so you can practise your pacing.
Are these the real exam questions?
No. Our questions are original and written to match the current syllabus, so they give realistic practice without copying the official paper. Every answer comes with a plain-English explanation. Always confirm current rules and content with AWS.