1) What is the most effective prompt framework that works in 90% of business scenarios?

A1. ROSES
A2. CREATE
A3. RISEN
A4. COAST

2) Your team is performing sentiment analysis to better understand customer insights. Which LLM model do you steer them towards?

A1. BERT
A2. T5
A3. ChatGPT
A4. LLaMA

3) You discover your company’s prescriptive analytics capability is just about non-existent. What do you cover in your second meeting with the data science team?

A1. Highlight current state alternatives
A2. Outline actionable business use case scenarios
A3. Showcase emerging technology with a live demo
A4. Present prescriptive analytics success stories

4) Your business sponsor is excited about launching a new AI chatbot to deepen customer longitudinal relationships. You have one shot at clarifying the brand's risks. What risk do you lead with?

A1. LLM drift
A2. Data Loss
A3. Adversarial Prompting
A4. Hallucination

5) You have been tagged with championing a departmental shift to embrace data-driven decision-making. You emphasize this importance to employees with which example?

A1. An example of data quality
A2. An example of data literacy
A3. An example of data fluency
A4. An example of data-first culture

6) As a strategic BRM, you have earned trust across your department. The CIO pulled you into a meeting and strongly restated the need to focus on high-value activities. As you look at your 9 a.m. schedule, you’re quadruple booked; what do you attend?

A1. An escalated report access issue
A2. A meet & greet for the new CIO
A3. A business capability & strategy meeting for Q4
A4. Your weekly update to business partners