🎯 Free AIF-C01 Mock Exam

AIF-C01 Mock Exam Questions (Page 1 of 3)

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1. Question #1Domain 1

   A data scientist is evaluating ML model types for a use case where the model must learn from labeled historical data to predict future outcomes. Which type of ML best describes this approach?

   AUnsupervised learning

   BSupervised learning

   CReinforcement learning

   DSelf-supervised learning
2. Question #2Domain 1

   A company is building a recommendation engine that must identify patterns and groupings in customer behavior data without any predefined labels. Which ML technique should they use?

   AClassification

   BRegression

   CClustering

   DTime series forecasting
3. Question #3Domain 1

   A bank uses an ML model trained on historical fraud patterns. After deployment, the model's accuracy begins to decline as fraud patterns evolve. What is this phenomenon called?

   AOverfitting

   BModel drift

   CUnderfitting

   DFeature engineering failure
4. Question #4Domain 1

   A team is training an ML model and notices it performs perfectly on training data but poorly on test data. Which problem does this describe?

   AUnderfitting

   BData leakage

   COverfitting

   DClass imbalance
5. Question #5Domain 1

   A company wants to use Amazon SageMaker to train a model using pre-built algorithms optimized for AWS infrastructure. Which SageMaker feature provides these?

   ASageMaker Autopilot

   BSageMaker Built-in Algorithms

   CSageMaker Feature Store

   DSageMaker Clarify
6. Question #6Domain 2

   A product team wants to understand the core architecture that enables large language models to process and generate contextually relevant text. Which architecture is the foundation of most modern LLMs?

   AConvolutional Neural Network (CNN)

   BRecurrent Neural Network (RNN)

   CTransformer architecture

   DGenerative Adversarial Network (GAN)
7. Question #7Domain 2

   A developer is building a customer service chatbot using an LLM. They want the model to focus on company-specific topics without retraining the model. Which technique is most appropriate?

   AFine-tuning the base model

   BImplementing Retrieval-Augmented Generation (RAG)

   CTraining a new foundation model from scratch

   DAdjusting the model's learning rate
8. Question #8Domain 2

   A content team is using Amazon Bedrock to generate marketing copy. They want to control the creativity and randomness of the outputs. Which parameter should they adjust?

   AToken limit

   BTop-P (nucleus sampling)

   CTemperature

   DStop sequences
9. Question #9Domain 2

   A company wants to generate images from text descriptions to create product mockups. Which AWS service provides access to foundation models capable of text-to-image generation?

   AAmazon Rekognition

   BAmazon SageMaker JumpStart

   CAmazon Bedrock

   DAmazon Comprehend
10. Question #10Domain 2

    In the context of generative AI, a prompt is best described as which of the following?

    AThe output produced by the model

    BThe training data used to build the model

    CThe input provided to a generative AI model to elicit a response

    DThe fine-tuning instructions for customizing the model