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AIF-C01 — questions

Page 6 of 22 · 422 total questions.

AIF-C01 Question 101

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Topic 1 · Question 101

A company is developing an ML model to make loan approvals. The company must implement a solution to detect bias in the model. The company must also be able to explain the model's predictions. Which solution will meet these requirements?

  • AAmazon SageMaker Clarify (correct answer)
  • BAmazon SageMaker Data Wrangler
  • CAmazon SageMaker Model Cards
  • DAWS AI Service Cards
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Amazon SageMaker Clarify

Explanation

Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

AIF-C01 Question 102

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Topic 1 · Question 102

A company has developed a generative text summarization model by using Amazon Bedrock. The company will use Amazon Bedrock automatic model evaluation capabilities. Which metric should the company use to evaluate the accuracy of the model?

  • AArea Under the ROC Curve (AUC) score
  • BF1 score
  • CBERTScore (correct answer)
  • DReal world knowledge (RWK) score
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: BERTScore.

AIF-C01 Question 103

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Topic 1 · Question 103

An AI practitioner wants to predict the classification of flowers based on petal length, petal width, sepal length, and sepal width. Which algorithm meets these requirements?

  • AK-nearest neighbors (k-NN) (correct answer)
  • BK-mean
  • CAutoregressive Integrated Moving Average (ARIMA)
  • DLinear regression
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: K-nearest neighbors (k-NN).

AIF-C01 Question 104

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Topic 1 · Question 104

A company is using custom models in Amazon Bedrock for a generative AI application. The company wants to use a company managed encryption key to encrypt the model artifacts that the model customization jobs create. Which AWS service meets these requirements?

  • AAWS Key Management Service (AWS KMS) (correct answer)
  • BAmazon Inspector
  • CAmazon Macie
  • DAWS Secrets Manager
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: AWS Key Management Service (AWS KMS)

Explanation

AWS KMS manages encryption keys and integrates with most AWS services for encryption at rest.

AIF-C01 Question 105

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Topic 1 · Question 105

A company wants to use large language models (LLMs) to produce code from natural language code comments. Which LLM feature meets these requirements?

  • AText summarization
  • BText generation (correct answer)
  • CText completion
  • DText classification
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Text generation.

AIF-C01 Question 106

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Topic 1 · Question 106

A company is introducing a mobile app that helps users learn foreign languages. The app makes text more coherent by calling a large language model (LLM). The company collected a diverse dataset of text and supplemented the dataset with examples of more readable versions. The company wants the LLM output to resemble the provided examples. Which metric should the company use to assess whether the LLM meets these requirements?

  • AValue of the loss function
  • BSemantic robustness
  • CRecall-Oriented Understudy for Gisting Evaluation (ROUGE) score (correct answer)
  • DLatency of the text generation
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Recall-Oriented Understudy for Gisting Evaluation (ROUGE) score.

AIF-C01 Question 107

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Topic 1 · Question 107

A company notices that its foundation model (FM) generates images that are unrelated to the prompts. The company wants to modify the prompt techniques to decrease unrelated images. Which solution meets these requirements?

  • AUse zero-shot prompts.
  • BUse negative prompts. (correct answer)
  • CUse positive prompts.
  • DUse ambiguous prompts.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Use negative prompts.

AIF-C01 Question 108

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Topic 1 · Question 108

A company wants to use a large language model (LLM) to generate concise, feature-specific descriptions for the company’s products. Which prompt engineering technique meets these requirements?

  • ACreate one prompt that covers all products. Edit the responses to make the responses more specific, concise, and tailored to each product.
  • BCreate prompts for each product category that highlight the key features. Include the desired output format and length for each prompt response. (correct answer)
  • CInclude a diverse range of product features in each prompt to generate creative and unique descriptions.
  • DProvide detailed, product-specific prompts to ensure precise and customized descriptions.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Create prompts for each product category that highlight the key features. Include the desired output format and length for each prompt response.

AIF-C01 Question 109

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Topic 1 · Question 109

A company is developing an ML model to predict customer churn. The model performs well on the training dataset but does not accurately predict churn for new data. Which solution will resolve this issue?

  • ADecrease the regularization parameter to increase model complexity.
  • BIncrease the regularization parameter to decrease model complexity. (correct answer)
  • CAdd more features to the input data.
  • DTrain the model for more epochs.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Increase the regularization parameter to decrease model complexity.

AIF-C01 Question 110

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Topic 1 · Question 110

A company is implementing intelligent agents to provide conversational search experiences for its customers. The company needs a database service that will support storage and queries of embeddings from a generative AI model as vectors in the database. Which AWS service will meet these requirements?

  • AAmazon Athena
  • BAmazon Aurora PostgreSQL (correct answer)
  • CAmazon Redshift
  • DAmazon EMR
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Amazon Aurora PostgreSQL

Explanation

Amazon Aurora is a high-performance managed relational database with built-in replication and failover.

AIF-C01 Question 111

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Topic 1 · Question 111

A financial institution is building an AI solution to make loan approval decisions by using a foundation model (FM). For security and audit purposes, the company needs the AI solution's decisions to be explainable. Which factor relates to the explainability of the AI solution's decisions?

  • AModel complexity (correct answer)
  • BTraining time
  • CNumber of hyperparameters
  • DDeployment time
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Model complexity.

AIF-C01 Question 112

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Topic 1 · Question 112

A pharmaceutical company wants to analyze user reviews of new medications and provide a concise overview for each medication. Which solution meets these requirements?

  • ACreate a time-series forecasting model to analyze the medication reviews by using Amazon Personalize.
  • BCreate medication review summaries by using Amazon Bedrock large language models (LLMs). (correct answer)
  • CCreate a classification model that categorizes medications into different groups by using Amazon SageMaker.
  • DCreate medication review summaries by using Amazon Rekognition.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Create medication review summaries by using Amazon Bedrock large language models (LLMs).

Explanation

Amazon Bedrock provides access to foundation models through a managed API.

AIF-C01 Question 113

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Topic 1 · Question 113

A company wants to build a lead prioritization application for its employees to contact potential customers. The application must give employees the ability to view and adjust the weights assigned to different variables in the model based on domain knowledge and expertise. Which ML model type meets these requirements?

  • ALogistic regression model (correct answer)
  • BDeep learning model built on principal components
  • CK-nearest neighbors (k-NN) model
  • DNeural network
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Logistic regression model.

AIF-C01 Question 114

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Topic 1 · Question 114

HOTSPOT - A company wants to build an ML application. Select and order the correct steps from the following list to develop a well-architected ML workload. Each step should be selected one time.

Exhibit 1 for question 114Exhibit 2 for question 114
    Reveal answer & explanation
    Correct answer: A

    Refer to the exhibit image(s). The correct answer is A.

    AIF-C01 Question 115

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    Topic 1 · Question 115

    Which strategy will determine if a foundation model (FM) effectively meets business objectives?

    • AEvaluate the model's performance on benchmark datasets.
    • BAnalyze the model's architecture and hyperparameters.
    • CAssess the model's alignment with specific use cases. (correct answer)
    • DMeasure the computational resources required for model deployment.
    Reveal answer & explanation
    Correct answer: C

    The correct answer is C. Option C: Assess the model's alignment with specific use cases.

    AIF-C01 Question 116

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    Topic 1 · Question 116

    A company needs to train an ML model to classify images of different types of animals. The company has a large dataset of labeled images and will not label more data. Which type of learning should the company use to train the model?

    • ASupervised learning (correct answer)
    • BUnsupervised learning
    • CReinforcement learning
    • DActive learning
    Reveal answer & explanation
    Correct answer: A

    The correct answer is A. Option A: Supervised learning.

    AIF-C01 Question 117

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    Topic 1 · Question 117

    Which phase of the ML lifecycle determines compliance and regulatory requirements?

    • AFeature engineering
    • BModel training
    • CData collection
    • DBusiness goal identification (correct answer)
    Reveal answer & explanation
    Correct answer: D

    The correct answer is D. Option D: Business goal identification.

    AIF-C01 Question 118

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    Topic 1 · Question 118

    A food service company wants to develop an ML model to help decrease daily food waste and increase sales revenue. The company needs to continuously improve the model's accuracy. Which solution meets these requirements?

    • AUse Amazon SageMaker and iterate with newer data. (correct answer)
    • BUse Amazon Personalize and iterate with historical data.
    • CUse Amazon CloudWatch to analyze customer orders.
    • DUse Amazon Rekognition to optimize the model.
    Reveal answer & explanation
    Correct answer: A

    The correct answer is A. Option A: Use Amazon SageMaker and iterate with newer data.

    Explanation

    Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

    AIF-C01 Question 119

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    Topic 1 · Question 119

    A company has developed an ML model to predict real estate sale prices. The company wants to deploy the model to make predictions without managing servers or infrastructure. Which solution meets these requirements?

    • ADeploy the model on an Amazon EC2 instance.
    • BDeploy the model on an Amazon Elastic Kubernetes Service (Amazon EKS) cluster.
    • CDeploy the model by using Amazon CloudFront with an Amazon S3 integration.
    • DDeploy the model by using an Amazon SageMaker endpoint. (correct answer)
    Reveal answer & explanation
    Correct answer: D

    The correct answer is D. Option D: Deploy the model by using an Amazon SageMaker endpoint.

    Explanation

    Amazon SageMaker builds, trains and deploys machine learning models in a fully managed service.

    AIF-C01 Question 120

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    Topic 1 · Question 120

    A company wants to develop an AI application to help its employees check open customer claims, identify details for a specific claim, and access documents for a claim. Which solution meets these requirements?

    • AUse Agents for Amazon Bedrock with Amazon Fraud Detector to build the application.
    • BUse Agents for Amazon Bedrock with Amazon Bedrock knowledge bases to build the application. (correct answer)
    • CUse Amazon Personalize with Amazon Bedrock knowledge bases to build the application.
    • DUse Amazon SageMaker to build the application by training a new ML model.
    Reveal answer & explanation
    Correct answer: B

    The correct answer is B. Option B: Use Agents for Amazon Bedrock with Amazon Bedrock knowledge bases to build the application.

    Explanation

    Amazon Bedrock provides access to foundation models through a managed API.

    Showing questions 101–120 of 422 · Page 6 of 22