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AWS Certified AI Practitioner (AIF-C01)

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Pass mark 50/65 120 minutes AWS How many can I get wrong?
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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
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✓ 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.
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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
AWS Certified AI Practitioner (AIF-C01) — common questions
Frequently asked
How many questions are in the AWS Certified AI Practitioner (AIF-C01)?
The exam has 65 questions. Every Revision Robin mock uses the same 65-question format so your practice matches the real thing.
What is the pass mark for the AWS Certified AI Practitioner (AIF-C01)?
You need 50 out of 65 correct to pass, which is about 77%. Our mocks mark you against this exact threshold.
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.