AWS Certified AI Practitioner Practice Exam

What is an availability zone (AZ)?

1 pts

volume_mute

A physical facility that houses numerous AWS servers

A virtual division of AWS infrastructure designed to ensure fault tolerance

A firewall-like security group that controls access to AWS resources

A geographical region that covers more than one continent

note_alt Add notes

flag Flag

Correct Answer

Explanation

Which cloud service model provides full applications to users without requiring them to manage infrastructure?

1 pts

volume_mute

Infrastructure as a service (IaaS)

Platform as a service (PaaS)

Software as a service (SaaS)

Virtualization as a service (VaaS)

note_alt Add notes

flag Flag

Correct Answer

Explanation

What is a defining characteristic of the hybrid cloud model?

1 pts

volume_mute

It exclusively uses private data centers for all workloads

It combines public and private cloud environments

It relies only on on-premises infrastructure

It uses a multitenant model for security

note_alt Add notes

flag Flag

Correct Answer

Explanation

What is a key advantage of AWS regions?

1 pts

volume_mute

They eliminate the need for availability zones (AZs)

They allow customers to comply with data residency requirements

They are only available in Asia

The provide unlimited computing power without redundancy

note_alt Add notes

flag Flag

Correct Answer

Explanation

Which AWS service allows developers to deploy applications without managing servers?

1 pts

volume_mute

Amazon EC2

AWS Lambda

Amazon RDS

Amazon CloudFront

note_alt Add notes

flag Flag

Correct Answer

Explanation

Which of the following best describes Amazon S3?

1 pts

volume_mute

A relational database service for structured data storage

A scalable object storage service designed for durability and availability

A high performance compute service for running applications

A content delivery network (CDN) for accelerating web traffic

note_alt Add notes

flag Flag

Correct Answer

Explanation

What is the main benefit of using a confusion matrix to evaluate a machine learning (ML) model?

1 pts

volume_mute

It shows the training time of the model

It helps analyze false positives and false negatives

It calculates the total number of data points used in training

It eliminates the need for additional performance metrics

note_alt Add notes

flag Flag

Correct Answer

Explanation

A bank wants to detect fraudulent transactions in real time. What type of inference should they use?

1 pts

volume_mute

Batch inference

Asynchronous inference

Real-time inference

On-demand inference

note_alt Add notes

flag Flag

Correct Answer

Explanation

What is a major challenge when using high-dimensional datasets in machine learning (ML)?

1 pts

volume_mute

It reduces the need for model tuning

It increases computational costs and complexity

It makes models interpret data more efficiently

It ensures better accuracy for all ML tasks

note_alt Add notes

flag Flag

Correct Answer

Explanation

An organization notices that its machine learning (ML) model is showing less accurate results over time due to changing customer behavior. What issue is this?

1 pts

volume_mute

Model overfitting

Hyperparameter tuning issue

Feature engineering error

Drift

note_alt Add notes

flag Flag

Correct Answer

Explanation

What is the goal for using Amazon SageMaker Model Monitor?

1 pts

volume_mute

To train deep-learning models faster

To automatically deploy machine learning (ML) models

To detect issues such as data drift and concept drift

To fine-tune pretrained models

note_alt Add notes

flag Flag

Correct Answer

Explanation

A business wants to improve efficiency of their data processing pipeline by automating feature extraction and transformation. Which AWS tool is best suited for this?

1 pts

volume_mute

Amazon Rekognition

Amazon Textract

Amazon SageMake Data Wangler

AWS Glue

note_alt Add notes

flag Flag

Correct Answer

Explanation

A software company wants to analyze customer feedback to determine wheter reviews are positive, neutral, or negative. Which AWS service should they use?

1 pts

volume_mute

Amazon Textract

Amazon Comprehend

AWS Lambda

Amazon SageMaker Feature Store

note_alt Add notes

flag Flag

Correct Answer

Explanation

What is the primary purpose of hyperparameter tuning in machine learning (ML)?

1 pts

volume_mute

To create new training data

To adjust model parameters for improved performance

To convert categorical data into numerical form

To speed up the training process

note_alt Add notes

flag Flag

Correct Answer

Explanation

How do diffusion models work?

1 pts

volume_mute

They add and remove noise in various steps

They use competing neural networks

They only create text

They only create sound

note_alt Add notes

flag Flag

Correct Answer

Explanation

What is the primary purpose of fine-tuning a foundation model (FM)?

1 pts

volume_mute

To make a model more general-purpose

To customize the model for a specific domain

To lower the latency

To train the model from scratch

note_alt Add notes

flag Flag

Correct Answer

Explanation

How does an encoder work in a transformer model?

1 pts

volume_mute

It creates synthetic data

It fine-tunes hyperparameters

It evaluates model predictions

It processes input sequences and extracts meaningful representations

note_alt Add notes

flag Flag

Correct Answer

Explanation

Which of the following describes a limit on how much a large language model (LLM) can process at a time?

1 pts

volume_mute

Overfitting

Bias

Context windows

The discriminator

note_alt Add notes

flag Flag

Correct Answer

Explanation

What's the reason for using reinforcement learning from human feedback (RLHF) in generative AI models?

1 pts

volume_mute

To improve the alignment the model's responses with human preferences

To lower training costs

To replace deep learning models

To reduce the latency of the model

note_alt Add notes

flag Flag

Correct Answer

Explanation

What is a key benefit of a multimodal foundation model (FM)?

1 pts

volume_mute

It requires much less data for the training

It can process and create different types of content like text, images, and videos

it is more explainable than text-based models

It does not require GPUs

note_alt Add notes

flag Flag

What is an availability zone (AZ)?

Correct Answer

Explanation

Which cloud service model provides full applications to users without requiring them to manage infrastructure?

Correct Answer

Explanation

What is a defining characteristic of the hybrid cloud model?

Correct Answer

Explanation

What is a key advantage of AWS regions?

Correct Answer

Explanation

Which AWS service allows developers to deploy applications without managing servers?

Correct Answer

Explanation

Which of the following best describes Amazon S3?

Correct Answer

Explanation

What is the main benefit of using a confusion matrix to evaluate a machine learning (ML) model?

Correct Answer

Explanation

A bank wants to detect fraudulent transactions in real time. What type of inference should they use?

Correct Answer

Explanation

What is a major challenge when using high-dimensional datasets in machine learning (ML)?

Correct Answer

Explanation

An organization notices that its machine learning (ML) model is showing less accurate results over time due to changing customer behavior. What issue is this?

Correct Answer

Explanation

What is the goal for using Amazon SageMaker Model Monitor?

Correct Answer

Explanation

A business wants to improve efficiency of their data processing pipeline by automating feature extraction and transformation. Which AWS tool is best suited for this?

Correct Answer

Explanation

A software company wants to analyze customer feedback to determine wheter reviews are positive, neutral, or negative. Which AWS service should they use?

Correct Answer

Explanation

What is the primary purpose of hyperparameter tuning in machine learning (ML)?

Correct Answer

Explanation

How do diffusion models work?

Correct Answer

Explanation

What is the primary purpose of fine-tuning a foundation model (FM)?

Correct Answer

Explanation

How does an encoder work in a transformer model?

Correct Answer

Explanation

Which of the following describes a limit on how much a large language model (LLM) can process at a time?

Correct Answer

Explanation

What's the reason for using reinforcement learning from human feedback (RLHF) in generative AI models?

Correct Answer

Explanation

What is a key benefit of a multimodal foundation model (FM)?

Correct Answer

Explanation

Quran Recitation

Query Dictionary

Select a result: