Free 1Z0-1122-25 sample questions

Correct answer: Supervised Learning

Supervised learning involves training a model on a labeled dataset, where the correct output (in this case, 'fraud' or 'not fraud') is known. The model learns the relationship between input features and the target label.

Correct answer: A virtual assistant that can set alarms, play music, and answer weather questions but cannot drive a car or diagnose diseases

Narrow AI (or Weak AI) is designed to perform a specific task or a limited set of tasks efficiently, such as voice recognition or recommendation systems, but lacks general cognitive abilities.

Correct answer: Convolutional Layer

Convolutional layers apply filters (kernels) to the input image to create feature maps, detecting patterns like edges, shapes, and textures. Pooling layers reduce dimensionality, and fully connected layers perform the final classification.

Correct answer: Overfitting

Overfitting occurs when a model learns the training data too closely, including its noise and outliers, resulting in poor performance on new data (high variance). Underfitting is when the model is too simple to capture the underlying pattern (high bias).

Correct answer: OCI Language

OCI Language provides pre-trained models for text analysis, including Named Entity Recognition (NER) which can identify and redact PII entities like names, addresses, and phone numbers from unstructured text.

Correct answer: It regulates the randomness of the output; higher values produce more creative responses, lower values more deterministic ones

Temperature controls the probability distribution of the next token. Low temperature (near 0) makes the model choose the most likely next token (deterministic). High temperature increases randomness, leading to more diverse and creative outputs.