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| Section | Objectives |
|---|---|
| Topic 1: Evaluation and Ethics | - Bias, safety, and responsible AI use - Evaluating AI output quality |
| Topic 2: Applied Prompt Design | - Task-specific prompt construction - Domain-specific prompting scenarios |
| Topic 3: Foundations of Artificial Intelligence | - Natural Language Processing overview - Basic AI concepts and terminology |
| Topic 4: Prompt Engineering Principles | - Prompt refinement and iteration techniques - Prompt structure (instructions, context, persona, output format) |
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NEW QUESTION # 45
A member of a middle pre-algebra class is having a difficult time graphing a line for a homework assignment.
In order to get help, the student enters the prompt "help with math" into an AI system. Which change should the student make to the prompt to generate a better outcome?
Answer: B
Explanation:
The student's initial prompt, "help with math," is a classic example of an underspecified prompt. To optimize the outcome, the student mustgive context on why the help is needed. In prompt engineering, context is the information that surrounds the core request to give it meaning. By explaining that they are in a "middle pre- algebra class" and are specifically struggling with "graphing a line," the student provides the AI with the necessary boundaries to provide an age-appropriate and topic-specific explanation.
Without this context, the AI might provide a high-level calculus proof or a simple elementary addition example, neither of which solves the student's problem. Providing context allows the AI to "zoom in" on the specific pain point. Effective optimization often involves adding the "what" (graphing a line), the "who" (a pre-algebra student), and the "why" (trouble with a homework assignment). This ensures the AI adopts the correct educational level and provides a step-by-step breakdown suitable for a middle schooler, rather than a generic or overly complex mathematical response.
NEW QUESTION # 46
What is an example of a prompt that needs a greater level of detail?
Answer: C
Explanation:
Optimization often begins by identifying "under-specified" prompts. Option B, "What is the selection process for winning a national contest?", is a prime candidate for refinement because it lacks nearly all necessary context. To an AI, a "national contest" could refer to anything from a high school spelling bee in Canada to a professional bodybuilding competition in the U.S. or a lottery in the UK. Without knowing the country, the industry, or the specific type of contest, the AI's response will be purely theoretical and likely unhelpful.
Effective prompt engineering requires the user to fill in these "information gaps." To optimize this prompt, a user should include the specific field (e.g., "science fair"), the specific nation, and the specific audience or level. While options A and D are quite specific (specifying city, state, or year), and option C provides a clear target audience (college students), option B remains too vague for a generative model to provide a meaningful first draft. In professional environments, using such vague prompts leads to "prompt drift," where the AI provides a correct answer to a different question than the one the user intended to ask.
NEW QUESTION # 47
A person is using generative AI to create a social media post. Why is it important to write an effective prompt?
Answer: B
Explanation:
Writing an effective prompt is essential because it provides the logical framework the AI needs to process a request; primarily, the prompt prevents output that is nonsensical. Generative AI models are statistical engines that predict the next most likely word or character. Without a clear, well-structured prompt that includes instructions and context, the model can easily lose the "thread" of logic, leading to "hallucinations" or sequences of text that are grammatically correct but logically incoherent or irrelevant to the user's goal.
In the context of social media, where brevity and impact are key, an ineffective prompt might result in a post that uses the wrong hashtags, misses the brand voice, or includes bizarre metaphors that don't make sense to the audience. While no prompt can "ensure" a post will be well-received by humans (Option B) or guarantee absolute originality (Option D), a structured prompt guides the AI to stay within the bounds of human logic.
By providing specific constraints (e.g., "Write a 20-word caption about coffee in a joyful tone"), the user ensures the output is a sensible, usable piece of content rather than a random string of related words.
NEW QUESTION # 48
A person wants to use AI to digitize receipts for expense tracking. Which advanced AI tool should be used?
Answer: C
Explanation:
To digitize physical documents like receipts, the necessary technology isOptical Character Recognition (OCR). OCR is a specialized AI field that involves the conversion of images of typed, handwritten, or printed text into machine-encoded text. When you take a photo of a receipt, the AI analyzes the pixels to identify the shapes of letters and numbers, then translates those shapes into digital characters that can be stored in a database or an Excel spreadsheet.
In the context of expense tracking, advanced OCR does more than just "read" the text; it uses "intelligent character recognition" to understand the layout. It can identify which number is the "Total," which is the
"Tax," and which is the "Date" by looking at their positions on the page and the keywords nearby. This makes OCR an essential bridge between the physical and digital worlds. While a "Virtual personal assistant" (Option B) mightusean OCR tool to help you, the specific technology doing the work of digitization is OCR. It saves hours of manual data entry and reduces the human error associated with typing in long strings of financial data, making it a powerful "practical application" of AI in business and personal finance.
NEW QUESTION # 49
A company released a new sports watch, and an advertiser wants to use generative AI to help produce a text- based advertisement for the watch that explains the features of the watch. Which prompt engineering solution is most likely to achieve this goal?
Answer: D
Explanation:
To achieve a high-quality, accurate advertisement, the most effective solution is togive a list of features that should be highlighted. In prompt engineering, this is known as providing "input data" or "grounding." Without a specific list of features, the AI will likely "hallucinate" capabilities for the sports watch-such as a
100-day battery life or a built-in laser-that the product does not actually possess.
By providing a concrete list (e.g., "GPS tracking, heart rate monitor, 50m water resistance, and sapphire glass"), the user provides the AI with the raw materials needed to construct the ad. This shifts the AI's role from "fictional writer" to "creative editor." The model can then focus on persuasive language and structural formatting rather than inventing technical specifications. This is the standard professional approach for marketing teams: use the prompt to establish the "facts" and let the AI handle the "flair." It ensures the resulting text is both creative and factually grounded, which is the primary requirement for any commercial advertisement.
NEW QUESTION # 50
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