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| Section | Objectives |
|---|---|
| Applied Prompt Design | - Domain-specific prompting scenarios - Task-specific prompt construction |
| Prompt Engineering Principles | - Prompt structure (instructions, context, persona, output format) - Prompt refinement and iteration techniques |
| Foundations of Artificial Intelligence | - Natural Language Processing overview - Basic AI concepts and terminology |
| Evaluation and Ethics | - Bias, safety, and responsible AI use - Evaluating AI output quality |
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NEW QUESTION # 14
An AI system is used to aid in an applicant selection process. The users of the system, however, have no information about which criteria are used to evaluate applicants. Which ethical concern is associated with this issue?
Answer: D
Explanation:
This scenario highlights a critical failure inTransparency. When an AI system acts as a "gatekeeper" for life- changing opportunities-such as employment, university admissions, or bank loans-it is an ethical imperative that the criteria for selection be disclosed. If the users (the hiring managers or the applicants) do not know which variables the AI is prioritizing (e.g., years of experience, specific keywords, or even zip codes), the system is effectively a "Black Box." The lack of transparency here creates several downstream risks. First, it makes it impossible to verify if the system is actually being "Fair." If the criteria are hidden, the AI could be using proxy variables that result in illegal discrimination without anyone noticing. Second, it undermines "Accountability," as a rejected applicant has no way to challenge the decision or understand what they need to improve. In professional prompt engineering, this issue is addressed by designing prompts that require the AI to generate an
"Evaluation Report" alongside its selection, detailing which parts of the resume matched the job description.
This transforms the automated process from an opaque hurdle into a transparent, auditable tool.
NEW QUESTION # 15
A person is using generative AI to create a social media post. Why is it important to write an effective prompt?
Answer: A
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 # 16
What is an important component to include in an AI prompt used to generate an image?
Answer: D
Explanation:
In the context of text-to-image generative AI, theMain subjectis the most critical component of the prompt.
While technical parameters like resolution (Option A) or file size (Option D) can sometimes be adjusted via specific suffixes or settings, the AI cannot begin the diffusion process without a clear definition ofwhatit is supposed to visualize. The main subject acts as the "anchor" for the entire generation process, providing the primary semantic information that the model uses to map noise to a coherent image.
An effective image prompt typically starts with the subject (e.g., "a golden retriever"), followed by descriptive modifiers (e.g., "wearing a space suit"), and finally, stylistic or environmental details (e.g., "cinematic lighting, 8k, digital art style"). If the main subject is vague or missing, the AI may produce a generic landscape or a chaotic abstract image. In professional design workflows, identifying the subject clearly ensures that the AI's creative "energy" is focused on the correct focal point. This allows the user to later refine the "medium" or "mood" of the image without changing the core content. Without a well-defined subject, the rest of the prompt's descriptors have no context to adhere to, leading to unpredictable and often unusable results.
NEW QUESTION # 17
A team of historians wants to use AI-based tools to aid in the research of the history of Europe's agricultural equipment. What is the importance of writing effective prompts in the research?
Answer: D
Explanation:
In academic and historical research, the sheer volume of available data can easily lead to "scope creep" or tangential exploration. Writing effective prompts is crucial because it ensures that researchers remain focused on their specific inquiry. When dealing with a broad subject like "Europe's agricultural equipment," an unstructured prompt might return a generalized history of farming. However, an effective prompt-specifying the region (e.g., Western Europe), the era (e.g., the Industrial Revolution), and the specific type of equipment (e.g., steam-powered threshing machines)-acts as a navigational guide for the AI.
This focus is essential for maintaining the integrity of the research process. It prevents the AI from generating irrelevant "filler" content and forces the output to adhere to the specific historical parameters defined by the team. While AI can assist in synthesizing information, it cannot determine the "importance" of research (which is a human value judgment) nor should it replace the need for multiple sources (as verification is still required). By refining the prompt to include specific constraints and objectives, historians can use AI as a precision tool to uncover specific data points and trends, ensuring that the resulting analysis stays aligned with the original research goals.
NEW QUESTION # 18
What is an example of a prompt that has an appropriate level of specificity?
Answer: C
Explanation:
Specificity is the cornerstone of effective prompt engineering. A specific prompt provides clear boundaries and a narrow focus, which prevents the AI from generating generic or overwhelming amounts of irrelevant information. Option C, "Provide an overview of state representative election laws in Iowa," is the best example because it defines three critical parameters: theSubject(election laws), theScope(state representative level), and theLocation/Jurisdiction(Iowa).
In contrast, options A and D are far too broad; asking for an overview of four major sciences or all business regulations would result in a superficial summary that lacks depth. Option B is subjective and lacks context, as "best classes" depends entirely on the student's major and career goals. By specifying the state and the specific legislative body, the user in Option C allows the AI to access a targeted subset of its training data. In practical applications, this level of specificity significantly reduces the risk of "hallucinations" or factual errors, as the model is guided to a precise factual domain. This is essential in professional research where accuracy and relevance are prioritized over general knowledge.
NEW QUESTION # 19
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