Amazon AWS Certified AI Practitioner AIF-C01 Dumps in PDF

Free Amazon AIF-C01 Real Questions (page: 52)

A company needs to monitor the performance of its ML systems by using a highly scalable AWS service.
Which AWS service meets these requirements?

  1. Amazon CloudWatch
  2. AWS CloudTrail
  3. AWS Trusted Advisor
  4. AWS Config

Answer(s): A

Explanation:

Amazon CloudWatch is a highly scalable AWS service designed for monitoring and observability. It provides real-time monitoring of system metrics, including performance data for ML systems, such as resource utilization
(CPU, memory, etc.), model inference latency, request counts, and errors. CloudWatch enables users to set up alarms, visualize metrics, and automate actions based on performance thresholds, making it ideal for monitoring the performance of ML systems.



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?

  1. Create a custom model training job in PartyRock on Amazon Bedrock.
  2. Use Amazon SageMaker JumpStart to create a training job.
  3. Use a custom script to run an Amazon SageMaker AI model training job.
  4. Create a Jupyter notebook on an Amazon EC2 instance. Use the notebook to train the model.

Answer(s): B

Explanation:

SageMaker JumpStart provides prebuilt solutions and workflows for fine-tuning open source models with minimal setup. It reduces operational effort compared to custom scripts, EC2 notebooks, or PartyRock, making it the most efficient choice.



Which statement describes a generative AI use case for multimodal models?

  1. Deploy multiple scalable and cost-effective versions of a model.
  2. Process large amounts of data to train multiple models.
  3. Write code in multiple programming languages.
  4. Process different data types, such as images, audio, and video.

Answer(s): D

Explanation:

Multimodal generative AI models are designed to process and reason across multiple data types such as images, audio, video, and text within a single model.



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

  1. Text summarization
  2. Text generation
  3. Text completion
  4. Text classification

Answer(s): B

Explanation:

Text generation is the feature of large language models (LLMs) that enables them to produce text based on a given prompt or input. In this scenario, the input would be natural language code comments, and the LLM
would generate code based on those comments. This process involves understanding the context of the comment and generating corresponding code, which is the core functionality of text generation.



A company is developing an ML application. The application must automatically group similar customers and products based on their characteristics.
Which ML strategy should the company use to meet these requirements?

  1. Unsupervised learning
  2. Supervised learning
  3. Reinforcement learning
  4. Semi-supervised learning

Answer(s): A

Explanation:

Unsupervised learning is used to automatically group or cluster similar customers and products based on their characteristics without the need for labeled data. This strategy fits scenarios where the goal is to discover patterns or groupings in the data.



A company wants to improve its chatbot's responses to match the company's desired tone. The company has
100 examples of high-quality conversations between customer service agents and customers. The company wants to use this data to incorporate company tone into the chatbot's responses.
Which solution meets these requirements?

  1. Use Amazon Personalize to generate responses.
  2. Create an Amazon SageMaker HyperPod pre-training job.
  3. Host the model by using Amazon SageMaker. Use TensorRT for large language model (LLM) deployment.
  4. Create an Amazon Bedrock fine-tuning job.

Answer(s): D

Explanation:

Bedrock’s fine-tuning lets you adapt a foundation model on your own conversation examples—in this case, the
100 high-quality transcripts to instill your company’s tone directly into the model’s response generation.



An education provider is building a question and answer application that uses a generative AI model to explain complex concepts. The education provider wants to automatically change the style of the model response depending on who is asking the question. The education provider will give the model the age range of the user who has asked the question.
Which solution meets these requirements with the LEAST implementation effort?

  1. Fine-tune the model by using additional training data that is representative of the various age ranges that the application will support.
  2. Add a role description to the prompt context that instructs the model of the age range that the response should target.
  3. Use chain-of-thought reasoning to deduce the correct style and complexity for a response suitable for that user.
  4. Summarize the response text depending on the age of the user so that younger users receive shorter responses.

Answer(s): B

Explanation:

Adding a role description to the prompt is the simplest and most effective way to adjust the model's response style based on the user's age range. It requires minimal implementation effort and effectively tailors the output.
The other options involve more complex processes, such as fine-tuning or additional reasoning steps.



A company plans to use a generative AI model to provide real-time service quotes to users.
Which criteria should the company use to select the correct model for this use case?

  1. Model size
  2. Training data quality
  3. General-purpose use and high-powered GPU availability
  4. Model latency and optimized inference speed

Answer(s): D

Explanation:

For real-time service quotes, the critical requirement is low response time. A model with optimized inference speed and low latency ensures fast and efficient user interactions, making it the correct selection criterion.



Share your comments for Amazon AIF-C01 exam with other users:

E
ethiopia
8/2/2023 2:18:00 AM

seems good..

W
whoAreWeReally
12/19/2023 8:29:00 PM

took the test last week, i did have about 15 - 20 word for word from this site on the test. (only was able to cram 600 of the questions from this site so maybe more were there i didnt review) had 4 labs, bgp, lacp, vrf with tunnels and actually had to skip a lab due to time. lots of automation syntax questions.

V
vs
9/2/2023 12:19:00 PM

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J
john adenu
11/14/2023 11:02:00 AM

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O
Osman
11/21/2023 2:27:00 PM

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E
Edward
9/13/2023 5:27:00 PM

question #50 and question #81 are exactly the same questions, azure site recovery provides________for virtual machines. the first says that it is fault tolerance is the answer and second says disater recovery. from my research, it says it should be disaster recovery. can anybody explain to me why? thank you

M
Monti
5/24/2023 11:14:00 PM

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A
Anon
10/25/2023 10:48:00 PM

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P
PeterPan
10/18/2023 10:22:00 AM

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CW
7/11/2023 3:19:00 PM

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11/9/2023 8:53:00 AM

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5/30/2023 2:47:00 AM

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9/11/2023 2:51:00 AM

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11/4/2023 7:04:00 AM

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8/8/2023 9:40:00 PM

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C
CW
7/11/2023 2:51:00 PM

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A
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10/23/2023 4:01:00 PM

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9/29/2023 8:19:00 AM

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Zaynik
9/17/2023 5:36:00 AM

questions and options are correct, but the answers are wrong sometimes. so please check twice or refer some other platform for the right answer

M
Massam
6/11/2022 5:55:00 PM

90% of questions was there but i failed the exam, i marked the answers as per the guide but looks like they are not accurate , if not i would have passed the exam given that i saw about 45 of 50 questions from dump

A
Anonymous
12/27/2023 12:47:00 AM

answer to this question "what administrative safeguards should be implemented to protect the collected data while in use by manasa and her product management team? " it should be (c) for the following reasons: this administrative safeguard involves controlling access to collected data by ensuring that only individuals who need the data for their job responsibilities have access to it. this helps minimize the risk of unauthorized access and potential misuse of sensitive information. while other options such as (a) documenting data flows and (b) conducting a privacy impact assessment (pia) are important steps in data protection, implementing a "need to know" access policy directly addresses the issue of protecting data while in use by limiting access to those who require it for legitimate purposes. (d) is not directly related to safeguarding data during use; it focuses on data transfers and location.

J
Japles
5/23/2023 9:46:00 PM

password lockout being the correct answer for question 37 does not make sense. it should be geofencing.

F
Faritha
8/10/2023 6:00:00 PM

for question 4, the righr answer is :recover automatically from failures

A
Anonymous
9/14/2023 4:27:00 AM

question number 4s answer is 3, option c. i

P
p das
12/7/2023 11:41:00 PM

very good questions

A
Anna
1/5/2024 1:12:00 AM

i am confused about the answers to the questions. are the answers correct?

B
Bhavya
9/13/2023 10:15:00 AM

very usefull

R
Rahul Kumar
8/31/2023 12:30:00 PM

need certification.

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