OCI AI Cert

Which capability is supported by the Oracle Cloud Infrastructure Vision service? a. Detecting and classifying objects in images b. Detecting and preventing fraud in financial transactions c. Generating realistic images from text d. Analyzing historical data for unusual patterns

a. Detecting and classifying objects in images

What is the primary goal of machine learning? a. Enabling computers to learn and improve from experience b. Creating algorithms to solve complex problems c. Improving computer hardware d. Explicitly programming computers

a. Enabling computers to learn and improve from experience

What is the advantage of using Oracle Cloud Infrastructure Supercluster for AI workloads? a. It offers seamless integration with social media platforms b. It delivers exceptional performance and scalability for complex AI tasks c. It is ideal for tasks such as text-to-speech conversion

b. It delivers exceptional performance and scalability for complex AI tasks

As an IT manager for your company, you are responsible for migrating your company's image and video analysis workloads to Oracle Cloud Infrastructure (OCI). Your team is particularly interested in a cloud service that offers advanced computer vision capabilities, including customer model training. Which OCI service would you consider for this purpose? a. OCI Speech b. OCI Vision c. OCI Language d. OCI Document Understanding

b. OCI Vision

You are the lead developer of a Deep Learning research team, and you are tasked with improving the training speed of your deep neural networks. To accelerate the training process, you decide to leverage specialized hardware. Which hardware component is commonly used in Deep Learning to accelerate model training? a. Solid-State Drive (SSD) b. Central Processing Unit (CPU) c. Graphics Processing Unit (GPU) d. Random Access Memory (RAM)

c. Graphics Processing Unit (GPU)

You are working on a project for a healthcare organization that wants to develop a system to predict the severity of patients' illnesses upon admission to a hospital. The goal is to classify patients into three categories - Low Risk, Moderate Risk, and High Risk - based on their medical history and vital signs. Which type of supervised learning algorithm is required in this scenario? a. Regression b. Clustering c. Multi-Class Classification d. Binary Classification

c. Multi-Class Classification

What role do tokens play in Large Language Models (LLMs)? a. They determine the size of the model's memory b. They are used to define the architecture of the model's neural network c. They are individual units into which a piece of text is divided during processing by the model d. They represent the numerical values of model parameters

c. They are individual units into which a piece of text is divided during processing by the model

What is the purpose of fine-tuning Large Language Models? a. To increase the complexity of the model architecture b. To prevent the model overfitting c. To specialize the model's capabilities for specific tasks d. To reduce the number of parameters in the model

c. To specialize the model's capabilities for specific tasks

Which NVIDIA GPU is offered by Oracle Cloud Infrastructure? a. T4 b. K80 c. P200 d. A100

d. A100

Which capability is supported by Oracle Cloud Infrastructure Language service? a. Converting text into images b. Detecting objects and scenes in images c. Translating speech into text d. Analyzing text to extract structured information like sentiment and entities

d. Analyzing text to extract structured information like sentiment and entities

What is the difference between classification and regression in Supervised Machine Learning? a. Classification and regression both assign data points to categories b. Classification predicts continuous values, whereas regression assigns data points to categories c. Classification and regression both predict continuous values d. Classification assigns data points to categories, whereas regression predicts continuous values

d. Classification assigns data points to categories, whereas regression predicts continuous values

Which AI domain is associated with tasks such as recognizing faces in images and classifying objects? a. Anomaly Detection b. Natural Language Processing c. Speech Processing d. Computer Vision

d. Computer Vision

What is the primary purpose of reinforcement learning? a. Finding relationships within data sets b. Making predictions from labeled data c. Identifying patterns in data d. Learning from outcomes to make decisions

d. Learning from outcomes to make decisions

Which type of machine learning is used for already labeled data sets? a. Reinforcement learning b. Unsupervised learning c. Active learning d. Supervised learning

d. Supervised learning

How can Oracle Cloud Infrastructure Document Understanding service be applied in business processes? a. By automating data extraction from documents b. By analyzing text sentiment c. By transcribing spoken language d. By generating lifelike speech from text

a. By automating data extraction from documents

How do Large Language Models (LLMs) handle the trade-off between model size, data quality, data size and performance? a. They ensure that the model size, training time, and data size are balanced for optimal results b. They focus on increasing the number of tokens while keeping the model size constant c. They disregard model size and prioritize high-quality data only d. They prioritize larger model sizes to achieve better performance

a. They ensure that the model size, training time, and data size are balanced for optimal results

What is the primary function of Oracle Cloud Infrastructure Speech service? a. Transcribing spoken language into written language b. Converting text to images c. Analyzing sentiment in text d. Recognizing objects in images

a. Transcribing spoken language into written language

What is the purpose of Attention Mechanism in Transformer architecture? a. Weigh the importance of different words within a sequence and understand the context b. Apply a specific function to each word individually c. Convert tokens into numerical forms (vectors) that the model can understand d. Break down a sentence into smaller pieces called tokens

a. Weigh the importance of different words within a sequence and understand the context

How does Oracle Cloud Infrastructure Anomaly Detection service contribute to fraud detection? a. By analyzing text sentiment b. By identifying abnormal patterns in data c. By generating spoken language from text d. By transcribing spoken language

b. By identifying abnormal patterns in data

Which is an application of Generative Adversarial Networks (GANs) in context of Generative AI? a. Generation of labeled outputs for training b. Creation of realistic images that resemble training data c. Prediction of continuous values from input data d. Classification of data points into categories

b. Creation of realistic images that resemble training data

Which AI domain is associated with tasks such as identifying the sentiment of text and translating text between languages? a. Natural Language Processing b. Computer Vision c. Anomaly Detection d. Speech Processing

a. Natural Language Processing

Which Deep Learning model is well-suited for processing sequential data, such as sentences? a. Recurrent Neural Network (RNN) b. Convolutional Neural Network (CNN) c. Variational Autoencoder (VAE) d. Generative Adversarial Network (GAN)

a. Recurrent Neural Network (RNN)

Which AI task involves audio generation from text? a. Text to speech b. Speech recognition c. Audio recording d. Text summarization

a. Text to speech

What is the primary purpose of Convolutional Neural Networks (CNNs)? a. Generating images b. Creating Music compositions c. Processing sequential data d. Detecting patterns in images

d. Detecting patterns in images

What is "in-context learning" in the realm of Large Language Models (LLMs)? a. Modifying the behavior of a pretrained LLM permanently b. Providing a few examples of a target task via the input prompt c. Training a model on a diverse range of tasks d. Teaching a model through zero-shot learning

b. Providing a few examples of a target task via the input prompt

Which type of machine learning is used to understand relationships within data and is not focused on making predictions or classifications? a. Supervised learning b. Active learning c. Unsupervised learning d. Reinforcement learning

c. Unsupervised learning

What is the difference between Large Language Models (LLMs) and traditional machine learning models? a. LLMs require labeled output for training b. LLMs have a limited number of parameters compared to other models c. LLMs focus on image recognition tasks d. LLMs are specifically designed for natural language processing and understanding

d. LLMs are specifically designed for natural language processing and understanding

How is "Prompt Engineering" different from "Fine-tuning" in the context of Large Language Models (LLMs)? a. Involves post-processing model outputs and optimizing hyperparameters b. Trains a model from scratch c. Guides the model's response using predefined prompts d. Customizes the model architecture

c. Guides the model's response using predefined prompts

In machine learning, what does the term "model training" mean? a. Performing data analysis on collected and labeled data b. Analyzing the accuracy of a trained model c. Writing code for the entire program d. Establishing a relationship between input features and output

d. Establishing a relationship between input features and output

How is Generative AI different from other AI approaches? a. Generative AI focuses on decision-making and optimization b. Generative AI generates labeled outputs for training c. Generative AI is used exclusively for text-based applications d. Generative AI understands underlying data and creates new examples

d. Generative AI understands underlying data and creates new examples