Module 8: Prompt Engineering
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In this post, I provide complete, accurate, and detailed explanations for the answers to Module 8: Prompt Engineering of Course 2: Google Cloud Fundamentals: Core Infrastructure – Preparing for Google Cloud Certification: Cloud Developer Professional Certificate
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Module Quiz
Graded Assignment
1. Generative AI is a type of artificial intelligence that can ____.
- Generate text, images, or other data using generative models.
- Perform complex calculations and mathematical operations.
- Make predictions about future events.
- Generate responses on real-time data.
Explanation:
- Generative AI refers to artificial intelligence models that can create new content such as text (e.g., ChatGPT), images (e.g., DALL·E), music, and videos.
- These models learn from vast datasets and generate coherent and contextually relevant outputs.
2. How can you avoid hallucinations when using a large language model?
- Train the LLM on a smaller dataset.
- Train the model to operate with very few constraints.
- Train the model on a clean, curated dataset.
- Do not add any context to your prompts.
Explanation:
- Hallucinations occur when AI generates incorrect or misleading information.
- The best way to reduce hallucinations is by training the model on clean, high-quality, and curated datasets that minimize errors and biases.
3. Which one of the following is not a type of prompt?
- Zero-shot
- Two-shot
- One-shot
- Role prompt
Explanation:
The three main types of prompting in AI models are:
Zero-shot → No examples are given before answering.
One-shot → One example is given before answering.
Few-shot → Multiple examples (typically more than one) are given before answering.“Two-shot” is not a standard term used in prompt engineering. While “few-shot” includes multiple examples, we do not usually classify prompting specifically as “two-shot.”
4. Which of the following is not a good practice for constructing prompts?
- Keep it short and simple.
- Avoid ambiguity.
- Include long and detailed sentences.
- Vary your prompts.
Explanation:
Good prompt engineering follows these principles:
Keep it short and simple → Helps AI understand the request quickly.
Avoid ambiguity → Ensures a clear and specific response.
Vary your prompts → Experimenting with different prompts improves AI outputs.
Related contents:
Module 2: Introducing Google Cloud
Module 3: Resources and Access in the Cloud
Module 4: Virtual Machines and Networks in the Cloud
Module 5: Storage in the Cloud
Module 6: Containers in the Cloud
Module 7: Applications in the Cloud
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