πŸ”

AIF-C01 β€” all questions

422 practice questions with answers and explanations.

Topic 1 Β· Question 1

A company makes forecasts each quarter to decide how to optimize operations to meet expected demand. The company uses ML models to make these forecasts. An AI practitioner is writing a report about the trained ML models to provide transparency and explainability to company stakeholders. What should the AI practitioner include in the report to meet the transparency and explainability requirements?

  • ACode for model training
  • BPartial dependence plots (PDPs) (correct answer)
  • CSample data for training
  • DModel convergence tables
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Partial dependence plots (PDPs).

Topic 1 Β· Question 2

A law firm wants to build an AI application by using large language models (LLMs). The application will read legal documents and extract key points from the documents. Which solution meets these requirements?

  • ABuild an automatic named entity recognition system.
  • BCreate a recommendation engine.
  • CDevelop a summarization chatbot. (correct answer)
  • DDevelop a multi-language translation system.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Develop a summarization chatbot.

Topic 1 Β· Question 3

A company wants to classify human genes into 20 categories based on gene characteristics. The company needs an ML algorithm to document how the inner mechanism of the model affects the output. Which ML algorithm meets these requirements?

  • ADecision trees (correct answer)
  • BLinear regression
  • CLogistic regression
  • DNeural networks
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Decision trees.

Topic 1 Β· Question 4

A company has built an image classification model to predict plant diseases from photos of plant leaves. The company wants to evaluate how many images the model classified correctly. Which evaluation metric should the company use to measure the model's performance?

  • AR-squared score
  • BAccuracy (correct answer)
  • CRoot mean squared error (RMSE)
  • DLearning rate
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Accuracy.

Topic 1 Β· Question 5

A company is using a pre-trained large language model (LLM) to build a chatbot for product recommendations. The company needs the LLM outputs to be short and written in a specific language. Which solution will align the LLM response quality with the company's expectations?

  • AAdjust the prompt. (correct answer)
  • BChoose an LLM of a different size.
  • CIncrease the temperature.
  • DIncrease the Top K value.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Adjust the prompt.

Topic 1 Β· Question 6

A company uses Amazon SageMaker for its ML pipeline in a production environment. The company has large input data sizes up to 1 GB and processing times up to 1 hour. The company needs near real-time latency. Which SageMaker inference option meets these requirements?

  • AReal-time inference
  • BServerless inference
  • CAsynchronous inference (correct answer)
  • DBatch transform
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Asynchronous inference This option meets the real-time / low-latency performance requirement.

Topic 1 Β· Question 7

A company is using domain-specific models. The company wants to avoid creating new models from the beginning. The company instead wants to adapt pre-trained models to create models for new, related tasks. Which ML strategy meets these requirements?

  • AIncrease the number of epochs.
  • BUse transfer learning. (correct answer)
  • CDecrease the number of epochs.
  • DUse unsupervised learning.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Use transfer learning.

Topic 1 Β· Question 8

A company is building a solution to generate images for protective eyewear. The solution must have high accuracy and must minimize the risk of incorrect annotations. Which solution will meet these requirements?

  • AHuman-in-the-loop validation by using Amazon SageMaker Ground Truth Plus (correct answer)
  • BData augmentation by using an Amazon Bedrock knowledge base
  • CImage recognition by using Amazon Rekognition
  • DData summarization by using Amazon QuickSight Q
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Human-in-the-loop validation by using Amazon SageMaker Ground Truth Plus

Explanation

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

Topic 1 Β· Question 9

A company wants to create a chatbot by using a foundation model (FM) on Amazon Bedrock. The FM needs to access encrypted data that is stored in an Amazon S3 bucket. The data is encrypted with Amazon S3 managed keys (SSE-S3). The FM encounters a failure when attempting to access the S3 bucket data. Which solution will meet these requirements?

  • AEnsure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key. (correct answer)
  • BSet the access permissions for the S3 buckets to allow public access to enable access over the internet.
  • CUse prompt engineering techniques to tell the model to look for information in Amazon S3.
  • DEnsure that the S3 data does not contain sensitive information.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Ensure that the role that Amazon Bedrock assumes has permission to decrypt data with the correct encryption key.

Explanation

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

Topic 1 Β· Question 10

A company wants to use language models to create an application for inference on edge devices. The inference must have the lowest latency possible. Which solution will meet these requirements?

  • ADeploy optimized small language models (SLMs) on edge devices. (correct answer)
  • BDeploy optimized large language models (LLMs) on edge devices.
  • CIncorporate a centralized small language model (SLM) API for asynchronous communication with edge devices.
  • DIncorporate a centralized large language model (LLM) API for asynchronous communication with edge devices.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Deploy optimized small language models (SLMs) on edge devices.

Topic 1 Β· Question 11

A company wants to build an ML model by using Amazon SageMaker. The company needs to share and manage variables for model development across multiple teams. Which SageMaker feature meets these requirements?

  • AAmazon SageMaker Feature Store (correct answer)
  • BAmazon SageMaker Data Wrangler
  • CAmazon SageMaker Clarify
  • DAmazon SageMaker Model Cards
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Amazon SageMaker Feature Store

Explanation

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

Topic 1 Β· Question 12

A company wants to use generative AI to increase developer productivity and software development. The company wants to use Amazon Q Developer. What can Amazon Q Developer do to help the company meet these requirements?

  • ACreate software snippets, reference tracking, and open source license tracking. (correct answer)
  • BRun an application without provisioning or managing servers.
  • CEnable voice commands for coding and providing natural language search.
  • DConvert audio files to text documents by using ML models.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Create software snippets, reference tracking, and open source license tracking.

Topic 1 Β· Question 13

A financial institution is using Amazon Bedrock to develop an AI application. The application is hosted in a VPC. To meet regulatory compliance standards, the VPC is not allowed access to any internet traffic. Which AWS service or feature will meet these requirements?

  • AAWS PrivateLink (correct answer)
  • BAmazon Macie
  • CAmazon CloudFront
  • DInternet gateway
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: AWS PrivateLink

Explanation

AWS PrivateLink exposes services privately inside the VPC without internet exposure.

Topic 1 Β· Question 14

A company wants to develop an educational game where users answer questions such as the following: "A jar contains six red, four green, and three yellow marbles. What is the probability of choosing a green marble from the jar?" Which solution meets these requirements with the LEAST operational overhead?

  • AUse supervised learning to create a regression model that will predict probability.
  • BUse reinforcement learning to train a model to return the probability.
  • CUse code that will calculate probability by using simple rules and computations. (correct answer)
  • DUse unsupervised learning to create a model that will estimate probability density.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Use code that will calculate probability by using simple rules and computations.

Topic 1 Β· Question 15

Which metric measures the runtime efficiency of operating AI models?

  • ACustomer satisfaction score (CSAT)
  • BTraining time for each epoch
  • CAverage response time (correct answer)
  • DNumber of training instances
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Average response time.

Topic 1 Β· Question 16

A company is building a contact center application and wants to gain insights from customer conversations. The company wants to analyze and extract key information from the audio of the customer calls. Which solution meets these requirements?

  • ABuild a conversational chatbot by using Amazon Lex.
  • BTranscribe call recordings by using Amazon Transcribe. (correct answer)
  • CExtract information from call recordings by using Amazon SageMaker Model Monitor.
  • DCreate classification labels by using Amazon Comprehend.
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Transcribe call recordings by using Amazon Transcribe.

Explanation

Amazon Transcribe converts speech to text.

Topic 1 Β· Question 17

A company has petabytes of unlabeled customer data to use for an advertisement campaign. The company wants to classify its customers into tiers to advertise and promote the company's products. Which methodology should the company use to meet these requirements?

  • ASupervised learning
  • BUnsupervised learning (correct answer)
  • CReinforcement learning
  • DReinforcement learning from human feedback (RLHF)
Reveal answer & explanation
Correct answer: B

The correct answer is B. Option B: Unsupervised learning.

Topic 1 Β· Question 18

An AI practitioner wants to use a foundation model (FM) to design a search application. The search application must handle queries that have text and images. Which type of FM should the AI practitioner use to power the search application?

  • AMulti-modal embedding model (correct answer)
  • BText embedding model
  • CMulti-modal generation model
  • DImage generation model
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Multi-modal embedding model.

Topic 1 Β· Question 19

A company uses a foundation model (FM) from Amazon Bedrock for an AI search tool. The company wants to fine-tune the model to be more accurate by using the company's data. Which strategy will successfully fine-tune the model?

  • AProvide labeled data with the prompt field and the completion field. (correct answer)
  • BPrepare the training dataset by creating a .txt file that contains multiple lines in .csv format.
  • CPurchase Provisioned Throughput for Amazon Bedrock.
  • DTrain the model on journals and textbooks.
Reveal answer & explanation
Correct answer: A

The correct answer is A. Option A: Provide labeled data with the prompt field and the completion field.

Topic 1 Β· Question 20

A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source. Which solution meets these requirements?

  • ABuild a speech recognition system.
  • BCreate a natural language processing (NLP) named entity recognition system.
  • CDevelop an anomaly detection system. (correct answer)
  • DCreate a fraud forecasting system.
Reveal answer & explanation
Correct answer: C

The correct answer is C. Option C: Develop an anomaly detection system.

Showing questions 1–20 of 422 Β· Page 1 of 22