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Good News !!! AIF-C01 AWS Certified AI Practitioner Exam is now Stable and With Pass Result

AIF-C01 Practice Exam Questions and Answers

AWS Certified AI Practitioner Exam

Last Update 4 days ago
Total Questions : 274

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Question # 1

Which option describes embeddings in the context of AI?

Options:

A.  

A method for compressing large datasets

B.  

An encryption method for securing sensitive data

C.  

A method for visualizing high-dimensional data

D.  

A numerical method for data representation in a reduced dimensionality space

Discussion 0
Question # 2

An AI practitioner must fine-tune an open source large language model (LLM) for text categorization. The dataset is already prepared.

Which solution will meet these requirements with the LEAST operational effort?

Options:

A.  

Create a custom model training job in PartyRock on Amazon Bedrock.

B.  

Use Amazon SageMaker JumpStart to create a training job.

C.  

Use a custom script to run an Amazon SageMaker AI model training job.

D.  

Create a Jupyter notebook on an Amazon EC2 instance. Use the notebook to train the model.

Discussion 0
Question # 3

A company uses Amazon SageMaker and various models fa Its AI workloads. The company needs to understand If Its AI workloads are ISO compliant.

Which AWS service or feature meets these requirements?

Options:

A.  

AWS Audit Manager

B.  

Amazon SageMaker Model Cards

C.  

Amazon SageMaker Model Monitor

D.  

AWS Artifact

Discussion 0
Question # 4

A medical company is customizing a foundation model (FM) for diagnostic purposes. The company needs the model to be transparent and explainable to meet regulatory requirements.

Which solution will meet these requirements?

Options:

A.  

Configure the security and compliance by using Amazon Inspector.

B.  

Generate simple metrics, reports, and examples by using Amazon SageMaker Clarify.

C.  

Encrypt and secure training data by using Amazon Macie.

D.  

Gather more data. Use Amazon Rekognition to add custom labels to the data.

Discussion 0
Question # 5

A company has a generative AI application that uses a pre-trained foundation model (FM) on Amazon Bedrock. The company wants the FM to include more context by using company information.

Which solution meets these requirements MOST cost-effectively?

Options:

A.  

Use Amazon Bedrock Knowledge Bases.

B.  

Choose a different FM on Amazon Bedrock.

C.  

Use Amazon Bedrock Agents.

D.  

Deploy a custom model on Amazon Bedrock.

Discussion 0
Question # 6

A media streaming platform wants to provide movie recommendations to users based on the users' account history.

Options:

A.  

Amazon Polly

B.  

Amazon Comprehend

C.  

Amazon Transcribe

D.  

Amazon Personalize

Discussion 0
Question # 7

A company has built a solution by using generative AI. The solution uses large language models (LLMs) to translate training manuals from English into other languages. The company wants to evaluate the accuracy of the solution by examining the text generated for the manuals.

Which model evaluation strategy meets these requirements?

Options:

A.  

Bilingual Evaluation Understudy (BLEU)

B.  

Root mean squared error (RMSE)

C.  

Recall-Oriented Understudy for Gisting Evaluation (ROUGE)

D.  

F1 score

Discussion 0
Question # 8

A company wants to create a chatbot that answers questions about human resources policies. The company is using a large language model (LLM) and has a large digital documentation base.

Which technique should the company use to optimize the generated responses?

Options:

A.  

Use Retrieval Augmented Generation (RAG).

B.  

Use few-shot prompting.

C.  

Set the temperature to 1.

D.  

Decrease the token size.

Discussion 0
Question # 9

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?

Options:

A.  

Amazon SageMaker Clarify

B.  

Amazon SageMaker Data Wrangler

C.  

Amazon SageMaker Model Cards

D.  

AWS AI Service Cards

Discussion 0
Question # 10

An AI practitioner is writing software code. The AI practitioner wants to quickly develop a test case and create documentation for the code.

Options:

A.  

Upload the code to an online coding assistant.

B.  

Develop an application to use foundation models (FMs).

C.  

Use Amazon Q Developer in an integrated development environment (IDE).

D.  

Research and write test cases. Then, create test cases and add documentation.

Discussion 0
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