Gemini MCQ Practice Test

Q1. What is the primary function of a knowledge graph in question-answering and conversational AI?

• A. To enable natural language processing for human-computer interaction
• B. To facilitate machine learning model training on large datasets
• C. To store and manage user preferences and behavior
• D. To organize and structure knowledge for question-answering and conversational AI ✓

Q2. What is entity disambiguation in information extraction?

• A. Deciding which real-world entity a mention refers to, e.g. "Paris" the city vs "Paris" the person ✓
• B. Removing entities from a database
• C. Encrypting named entities for privacy
• D. Translating entity names to English

Q3. What is the primary function of a Knowledge Graph in an AI system?

• A. It is a machine learning model that generates human-like conversations.
• B. It is a database that stores and retrieves information based on user queries.
• C. It is a natural language processing module that enables Gemini to understand user intent.
• D. It is a knowledge retrieval system that uses graph-based algorithms to answer complex questions. ✓

Q4. When an AI model such as Gemini is described as multimodal, what does that mean?

• A. It can process and generate more than one kind of data, such as text and images ✓
• B. It can run on multiple operating systems
• C. It supports multiple user accounts
• D. It was trained by multiple companies

Q5. In large language model terminology, what does the term hallucination refer to?

• A. A confident, plausible-sounding output that is factually wrong or fabricated ✓
• B. A crash of the inference server
• C. A corrupted input prompt
• D. A duplicate training example

Q6. What is the primary function of a knowledge graph component in an AI model?

• A. It is used for natural language processing and text generation.
• B. It is a database that stores and retrieves information based on user queries. ✓
• C. It is a component that enables Gemini to reason and draw inferences from the data it has been trained on.
• D. It is a module that handles user interface and interaction with the user.

Q7. What does the "temperature" setting control in a large language model?

• A. How random or deterministic the generated text is ✓
• B. How fast the GPU runs
• C. The maximum response length
• D. The number of languages supported

Q8. In search engines, what is the purpose of ranking?

• A. Ordering retrieved results so the most relevant appear first ✓
• B. Compressing the web index
• C. Translating queries between languages
• D. Detecting broken hyperlinks

Q9. What is the primary function of a knowledge graph component in an AI system?

• A. It generates human-like conversations by analyzing user input
• B. It creates a database of user interactions to improve conversation accuracy
• C. It enables Gemini to store and retrieve vast amounts of knowledge on various topics ✓
• D. It uses machine learning to predict user preferences and tailor responses

Q10. What is the primary function of a knowledge graph in relation to entity disambiguation?

• A. To identify and categorize user queries based on intent
• B. To create a network of entities and their relationships for more accurate information retrieval ✓
• C. To analyze user behavior and preferences for personalized recommendations
• D. To generate natural language responses to user input

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