HOTSPOT
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Select the answer that correctly completes the sentence.
Show Answer
Correct Answer: can produce new and original content.
Explanation: Generative AI creates new content, while predictive AI focuses on forecasting or classifying outcomes from existing data. Dataset size and accuracy are not the defining distinction.
Question 33
Your company plans to use generative AI to help build a website that will showcase various existing products.
Which capability best describes a benefit of using generative AI for this project? More than one answer choice may achieve the goal. Select the BEST answer.
A. creating product descriptions based on product specifications
B. designing a new product based on customer requirements
C. translating product descriptions into a different language
D. analyzing product sales to identify patterns and trends
Show Answer
Correct Answer: A
Explanation: Creating product descriptions from product specifications is a core generative AI capability that directly supports building a website showcasing existing products. Translating text is an AI capability but is not the best fit for the stated goal, designing a new product changes the project scope, and analyzing sales patterns is predictive/analytical rather than generative.
Question 34
HOTSPOT
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For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Yes
No
Yes
Explanation: Prompt engineering guides model behavior. Instructions specify the task, while examples are a separate prompt component. Context provides relevant background and information for generating the response.
Question 35
HOTSPOT
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Select the answer that correctly completes the sentence.
Show Answer
Correct Answer: accuracy and relevance of AI-generated responses.
Explanation: Prompt engineering improves how the model is guided at inference time, leading to more accurate and relevant outputs. It does not increase storage capacity or model training time.
Question 36
HOTSPOT
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For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: No
No
Yes
Explanation: Text-to-image models generate images, not translations. Predictive analytics forecasts or classifies rather than creating new content. Generative AI chatbots can provide personalized conversations and product recommendations.
Question 37
HOTSPOT
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For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: No
Yes
No
Explanation: Prompt engineering does not change a model's training; it improves how inputs are written. Good prompt engineering emphasizes clear, concise, context-rich instructions rather than maximizing token count.
Question 38
You have a large language model (LLM) that was pretrained by using public data.
You want the LLM to generate responses that incorporate frequently updated proprietary content, such as internal documents and knowledge bases.
You need to recommend a solution to ensure that the LLM uses the most current information without retraining the model.
What should you include in the recommendation?
A. Retrieval Augmented Generation (RAG)
B. prompt engineering
C. content filtering
D. model fine-tuning
Show Answer
Correct Answer: A
Explanation: Retrieval Augmented Generation (RAG) retrieves relevant, up-to-date information from external proprietary sources at inference time and provides it as context to the LLM. This allows the model to use frequently changing internal documents and knowledge bases without retraining or fine-tuning. Prompt engineering cannot inject current proprietary knowledge by itself, content filtering is for safety/moderation, and fine-tuning requires retraining and does not keep pace with frequently updated content.
Question 39
HOTSPOT
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For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: 1. No
2. Yes
3. Yes
Explanation: RAG does not require retraining the base LLM; it augments prompts with retrieved external knowledge at runtime, improving factuality and context relevance.
Question 40
HOTSPOT
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For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Yes
Yes
No
Explanation: Generative AI can help automate complex workflows and generate new content, but it is not the best tool for precise mathematical calculations or solving equations.
Question 41
Your company creates a custom Azure Machine Learning model that uses a generative AI assistant.
The model initially delivers strong results. However, six months later, the model predictions become noticeably less accurate.
What is a possible cause of the issue?
A. The model requires additional compute resources.
B. The input data changed over time.
C. The model was trained incorrectly.
Show Answer
Correct Answer: B
Explanation: A model that performs well initially but degrades over time commonly experiences data drift or concept drift, where the distribution or nature of input data changes from what the model was trained on. This reduces prediction accuracy even if the original training was correct. Additional compute resources do not inherently improve model accuracy, and incorrect training would typically affect performance from the outset rather than only after six months.
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