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Practical AI and prompting for finance professionals Exam Questions and Answers

Practical AI and prompting for finance professionals certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Practical AI and prompting for finance professionals exam and earn Practical AI and prompting for finance professionals certificate.

Question 1

Which of the following use case examples does NOT fall within the scope of typical “document analysis” use cases?

A. Analyze and concisely summarize a longer study
B. Identify the key messages from a meeting transcript
C. Derive key conclusions from a lengthy document
D. Answer questions about a specific article
E. Write a creative and well-structured essay on a selected topic

Answer

E. Write a creative and well-structured essay on a selected topic

Question 2

Which of the following use case examples does NOT belong to the AI use case area of “content translation & individualization”?

A. Translating an email text into different languages
B. Adapting a speech manuscript to the customs and tone of a specific culture
C. Converting spoken language from a meeting into written text
D. Analyzing large volumes of data from various sources, such as email systems

Answer

D. Analyzing large volumes of data from various sources, such as email systems

Question 3

In which different modalities can AI create qualified content?

A. Written texts
B. Spoken language
C. Images
D. Videos
E. All of the above

Answer

E. All of the above

Question 4

Which of the following statements is correct?

A. The scope, type, and quality of the results generated by AI depend heavily on the input parameters shared with the AI solution
B. The scope, type, and quality of the results generated by AI depend exclusively on the performance of the selected AI model
C. No matter what parameters humans give it, AI consistently delivers the optimal output

Answer

A. The scope, type, and quality of the results generated by AI depend heavily on the input parameters shared with the AI solution