VALID DUMPS 1Z0-1122-25 EBOOK - 1Z0-1122-25 LATEST EXAM VCE

Valid Dumps 1Z0-1122-25 Ebook - 1Z0-1122-25 Latest Exam Vce

Valid Dumps 1Z0-1122-25 Ebook - 1Z0-1122-25 Latest Exam Vce

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Oracle Cloud Infrastructure 2025 AI Foundations Associate Sample Questions (Q30-Q35):

NEW QUESTION # 30
What is the benefit of using embedding models in OCI Generative AI service?

  • A. They simplify managing databases.
  • B. They optimize the use of computational resources.
  • C. They facilitate semantic searches.
  • D. They enable creating detailed graphics.

Answer: C

Explanation:
Embedding models in the OCI Generative AI service are designed to represent text, phrases, or other data types in a dense vector space, where semantically similar items are located closer to each other. This representation enables more effective semantic searches, where the goal is to retrieve information based on the meaning and context of the query, rather than just exact keyword matches.
The benefit of using embedding models is that they allow for more nuanced and contextually relevant searches. For example, if a user searches for "financial reports," an embedding model can understand that "quarterly earnings" is semantically related, even if the exact phrase does not appear in the document. This capability greatly enhances the accuracy and relevance of search results, making it a powerful tool for handling large and diverse datasets .


NEW QUESTION # 31
What is the primary benefit of using Oracle Cloud Infrastructure Supercluster for AI workloads?

  • A. It is ideal for tasks such as text-to-speech conversion.
  • B. It offers seamless integration with social media platforms.
  • C. It provides a cost-effective solution for simple AI tasks.
  • D. It delivers exceptional performance and scalability for complex AI tasks.

Answer: D

Explanation:
Oracle Cloud Infrastructure Supercluster is designed to deliver exceptional performance and scalability for complex AI tasks. The primary benefit of this infrastructure is its ability to handle demanding AI workloads, offering high-performance computing (HPC) capabilities that are crucial for training large-scale AI models and processing massive datasets. The architecture of the Supercluster ensures low-latency networking, efficient resource allocation, and high-throughput processing, making it ideal for AI tasks that require significant computational power, such as deep learning, data analytics, and large-scale simulations.


NEW QUESTION # 32
What is a key advantage of using dedicated AI clusters in the OCI Generative AI service?

  • A. They are free of charge for all users.
  • B. They provide faster internet connection speeds.
  • C. They allow access to unlimited database resources.
  • D. They provide high performance compute resources for fine-tuning tasks.

Answer: D

Explanation:
The primary advantage of using dedicated AI clusters in the Oracle Cloud Infrastructure (OCI) Generative AI service is the provision of high-performance compute resources that are specifically optimized for fine-tuning tasks. Fine-tuning is a critical step in the process of adapting pre-trained models to specific tasks, and it requires significant computational power. Dedicated AI clusters in OCI are designed to deliver the necessary performance and scalability to handle the intense workloads associated with fine-tuning large language models (LLMs) and other AI models, ensuring faster processing and more efficient training.


NEW QUESTION # 33
Which AI domain can be employed for identifying patterns in images and extract relevant features?

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

Answer: B

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 # 34
Which algorithm is primarily used for adjusting the weights of connections between neurons during the training of an Artificial Neural Network (ANN)?

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

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 # 35
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