1Z0-1122-24 LATEST LEARNING MATERIALS, RELIABLE 1Z0-1122-24 TEST TIPS

1z0-1122-24 Latest Learning Materials, Reliable 1z0-1122-24 Test Tips

1z0-1122-24 Latest Learning Materials, Reliable 1z0-1122-24 Test Tips

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The Oracle Cloud Infrastructure 2024 AI Foundations Associate (1z0-1122-24) certification exam is one of the best credentials in the modern Oracle world. The Oracle Cloud Infrastructure 2024 AI Foundations Associate (1z0-1122-24) certification offers a unique opportunity for beginners or experienced professionals to demonstrate their expertise and knowledge with an industry-recognized certificate. With the Oracle 1z0-1122-24 Exam Dumps, you can not only validate your skill set but also get solid proof of your proven expertise and knowledge.

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Oracle 1z0-1122-24 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Intro to ML Foundations: This section covers Machine Learning (ML) which is a critical area within AI, and understanding its fundamentals is crucial for anyone interested in this field. The section covers delving into the basics of ML allowing for a better grasp of how machines learn from data.
Topic 2
  • Get Started with OCI AI Portfolio: This section is about the OCI AI Portfolio which offers a comprehensive suite of services and infrastructure for developing and deploying AI models. Exploring the overview of OCI AI Services provides insight into the tools available for AI development.
Topic 3
  • Intro to AI Foundations: This section covers the fundamentals of AI are essential for understanding its wide-ranging impact and applications.

Oracle Cloud Infrastructure 2024 AI Foundations Associate Sample Questions (Q16-Q21):

NEW QUESTION # 16
What is the difference between classification and regression in Supervised Machine Learning?

  • A. Classification and regression both predict continuous values.
  • B. Classification assigns data points to categories, whereas regression predicts continuous values.
  • C. Classification and regression both assign data points to categories.
  • D. Classification predicts continuous values, whereas regression assigns data points to categories.

Answer: B

Explanation:
In supervised machine learning, the key difference between classification and regression lies in the nature of the output they predict. Classification algorithms are used to assign data points to one of several predefined categories or classes, making it suitable for tasks like spam detection, where an email is classified as either "spam" or "not spam." On the other hand, regression algorithms predict continuous values, such as forecasting the price of a house based on features like size, location, and number of rooms. While classification answers "which category?" regression answers "how much?" or "what value?".


NEW QUESTION # 17
Which AI domain can be employed for identifying patterns in images and extract relevant features?

  • A. Computer Vision
  • B. Natural Language Processing
  • C. Speech Processing
  • D. Anomaly Detection

Answer: A

Explanation:
Computer Vision is the AI domain specifically employed for identifying patterns in images and extracting relevant features. This field focuses on enabling machines to interpret and understand visual information from the world, automating tasks that the human visual system can perform, such as recognizing objects, analyzing scenes, and detecting anomalies. Techniques in Computer Vision are widely used in applications ranging from facial recognition and image classification to medical image analysis and autonomous vehicles.


NEW QUESTION # 18
Which algorithm is primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN)?

  • A. Random Forest
  • B. Support Vector Machine
  • C. Backpropagation
  • D. Gradient Descent

Answer: C

Explanation:
Backpropagation is the algorithm primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN). It is a supervised learning algorithm that calculates the gradient of the loss function with respect to each weight by applying the chain rule, propagating the error backward from the output layer to the input layer. This process updates the weights to minimize the error, thus improving the model's accuracy over time.
Gradient Descent is closely related as it is the optimization algorithm used to adjust the weights based on the gradients computed by backpropagation, but backpropagation is the specific method used to calculate these gradients.


NEW QUESTION # 19
Which is NOT a category of pretrained foundational models available in the OCI Generative AI service?

  • A. Chat models
  • B. Generation models
  • C. Embedding models
  • D. Translation models

Answer: D

Explanation:
The OCI Generative AI service offers various categories of pretrained foundational models, including Embedding models, Chat models, and Generation models. These models are designed to perform a wide range of tasks, such as generating text, answering questions, and providing contextual embeddings. However, Translation models, which are typically used for converting text from one language to another, are not a category available in the OCI Generative AI service's current offerings. The focus of the OCI Generative AI service is more aligned with tasks related to text generation, chat interactions, and embedding generation rather than direct language translation.


NEW QUESTION # 20
You are part of the medical transcription team and need to automate transcription tasks. Which OCI AI service are you most likely to use?

  • A. Vision
  • B. Document Understanding
  • C. Language
  • D. Speech

Answer: D

Explanation:
For automating transcription tasks in a medical transcription team, the most appropriate OCI AI service to use would be the "Speech" service. This service is designed to convert spoken language into text, which is essential for transcribing spoken medical reports or consultations into written form. The OCI Speech service provides capabilities such as speech-to-text conversion, which is specifically tailored for handling audio input and producing accurate transcriptions.


NEW QUESTION # 21
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