1Z0-1122-25 Practice Questions
Prepare for 1Z0-1122-25 with more than an answer.
- Level
- Associate
- Valid for
- 18-24 months (Cloud Recertification policy)
Domains covered on the exam 7
- Intro to AI Foundations10%
- Intro to ML Foundations15%
- Intro to DL Foundations15%
- Intro to Generative AI & LLMs15%
- Get Started with OCI AI Portfolio15%
- OCI Generative AI and Oracle 23ai10%
- Intro to OCI AI Services20%
- 1
Which Oracle Database 23ai feature allows users to query data using natural language questions instead of writing complex SQL queries?
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Correct answer: A
Select AI is a capability in Autonomous Database that allows users to ask questions in natural language. It uses LLMs to translate the natural language into SQL queries, executes them, and returns the results.
- 2
In Deep Learning, what is the primary purpose of the 'Backpropagation' algorithm?
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Correct answer: D
Backpropagation calculates the gradient of the error (loss) with respect to the network's weights. This gradient information is then used by an optimization algorithm (like Gradient Descent) to adjust the weights and minimize the error.
- 3
Which OCI service would you use to label a dataset of thousands of medical images before training a custom computer vision model?
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Correct answer: A
OCI Data Labeling Service allows developers and data scientists to build labeled datasets for training AI/ML models. It supports text, images, and documents.
- 4
A retail organization wants to analyze customer feedback from various sources including emails, survey forms, and call transcripts. The data includes database tables, PDF documents, and audio files. How should the data architect classify these different data sources for an AI strategy?
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Correct answer: C
Structured data fits neatly into rows and columns (databases). Unstructured data does not have a predefined model and includes text-heavy documents (PDFs), images, and audio/video files. Semi-structured data would be formats like JSON or XML.
- 5
A financial institution is implementing a system to detect fraudulent transactions. The system must learn from historical transaction data where fraud cases are explicitly flagged. This approach falls under which category of AI learning?
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Correct answer: B
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.
- 6
Which of the following scenarios best describes the application of Narrow AI?
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Correct answer: B
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.
