Amazon AIF-C01 Exam Practice Test Instant Access

Question 1

A company has a database of petabytes of unstructured data from internal sources. The company wants to transform this data into a structured format so that its data scientists can perform machine learning (ML) tasks.

Which service will meet these requirements?

AAmazon Lex

BAmazon Rekognition

CAmazon Kinesis Data Streams

DAWS Glue

Answer : D

Question 2

Which AWS service or feature can help an AI development team quickly deploy and consume a foundation model (FM) within the team's VPC?

AAmazon Personalize

BAmazon SageMaker JumpStart

CPartyRock, an Amazon Bedrock Playground

DAmazon SageMaker endpoints

Answer : D

Question 3

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company wants to classify the sentiment of text passages as positive or negative.

Which prompt engineering strategy meets these requirements?

AProvide examples of text passages with corresponding positive or negative labels in the prompt followed by the new text passage to be classified.

BProvide a detailed explanation of sentiment analysis and how LLMs work in the prompt.

CProvide the new text passage to be classified without any additional context or examples.

DProvide the new text passage with a few examples of unrelated tasks, such as text summarization or question answering.

Answer : A

Question 4

A company has installed a security camer

a. The company uses an ML model to evaluate the security camera footage for potential thefts. The company has discovered that the model disproportionately flags people who are members of a specific ethnic group.

Which type of bias is affecting the model output?

AMeasurement bias

BSampling bias

CObserver bias

DConfirmation bias

Answer : B

Question 5

A company wants to make a chatbot to help customers. The chatbot will help solve technical problems without human intervention. The company chose a foundation model (FM) for the chatbot. The chatbot needs to produce responses that adhere to company tone.

Which solution meets these requirements?

ASet a low limit on the number of tokens the FM can produce.

BUse batch inferencing to process detailed responses.

CExperiment and refine the prompt until the FM produces the desired responses.

DDefine a higher number for the temperature parameter.

Answer : C

Question 6

A company is implementing the Amazon Titan foundation model (FM) by using Amazon Bedrock. The company needs to supplement the model by using relevant data from the company's private data sources.

Which solution will meet this requirement?

AUse a different FM

BChoose a lower temperature value

CCreate an Amazon Bedrock knowledge base

DEnable model invocation logging

Answer : C

Question 7

A company wants to use a large language model (LLM) on Amazon Bedrock for sentiment analysis. The company needs the LLM to produce more consistent responses to the same input prompt.

Which adjustment to an inference parameter should the company make to meet these requirements?

ADecrease the temperature value

BIncrease the temperature value

CDecrease the length of output tokens

DIncrease the maximum generation length

Answer : A

Amazon AIF-C01 AWS Certified AI Practitioner Exam Practice Test