HKU Master of Artificial Intelligence in Business Application and Admission Video Guide

The University of Hong Kong (HKU Master of Artificial Intelligence in Business (MAIB) application is not simply for candidates who can discuss the latest AI models or use popular generative AI tools.

The HKU MAIB master's degree program is concerned with how organizations select, design, implement, govern, and manage artificial intelligence. Applicants therefore need to connect technical possibilities with business objectives, organizational change, legal responsibilities, and measurable results. Developing that way of thinking before the interview, rather than trying to improvise under time pressure, is exactly what HKU MAIB interview practice on MYLS Interview is designed to support.

A possible master's degree admission video may test whether candidates can discuss AI without becoming overly technical, overly enthusiastic, or unrealistically certain. This guide covers the **HKU MAIB graduate program application**, admission requirements, important AI management concepts, sample questions, answer strategies, and practical video interview preparation.

What Is the HKU Master of Artificial Intelligence in Business?

The Master of Artificial Intelligence in Business at The University of Hong Kong, commonly shortened to HKU MAIB, is offered by HKU Business School. The HKU MAIB program's official page covers the full curriculum and faculty involved.

HKU designed MAIB program to prepare students to develop AI strategies and manage the planning, design, and implementation of artificial intelligence within organizations. It also examines the opportunities, challenges, and responsible management of AI in corporate settings.

The degree is different from a program focused entirely on developing increasingly complex algorithms. Its curriculum brings together:

• Artificial intelligence models and technologies
• Business strategy
• Organizational change
• Information systems
• Finance and management
• Law and regulation
• Ethics and responsible AI
• Implementation and project management

HKU explains that this interdisciplinary structure helps students devise AI management strategies while considering technical, organizational, legal, and ethical perspectives.

The official HKU Business School site currently presents its specialized master's programs as:

• Full-time
• Delivered in English
• Beginning in August
• Having a normative duration of two years

How Is HKU MAIB Different From Computer Science or Business Analytics?

The distinctions are important because applicants may be comparing several AI-related degrees.

Computer Science

A computer science degree may place greater emphasis on:

• Algorithms
• Software engineering
• Computing theory
• Machine learning development
• Model architecture
• Programming systems

Business Analytics

A business analytics degree often focuses on:

• Data analysis
• Statistical modeling
• Forecasting
• Visualization
• Optimization
• Evidence-based decision-making

Artificial Intelligence in Business

HKU MAIB focuses more directly on managing AI in organizations.

Its central questions may include:

• Which business processes should use AI?
• How should an organization evaluate AI investment?
• What changes are required before implementation?
• How should employees work with AI systems?
• Which risks require governance or human oversight?
• How can leaders measure whether AI creates value?
• What laws, ethical concerns, and compliance obligations apply?

An applicant does not need to reject technical work. The key is showing that technical performance is only one part of successful AI adoption.

What Does HKU MAIB Want to Learn From Applicants?

No dedicated MAIB admission-video rubric has surfaced publicly. However, its curriculum suggests several capabilities that applicants should be prepared to demonstrate.

Understanding of Business Problems

AI should not be introduced merely because competitors are using it.

Candidates should identify the operational, customer, financial, or strategic problem before proposing a model or tool.

Technical Awareness

Applicants should understand what AI can and cannot do.

This does not require advanced expertise in every model, but it does require enough knowledge to discuss:

• Data requirements
• Model limitations
• Training and testing
• Generative AI
• Machine learning
• Automation
• Explainability
• Human oversight

Implementation Judgment

A successful prototype may still fail inside an organization.

Applicants should consider:

• Existing systems
• Employee adoption
• Training
• Workflow changes
• Cost
• Data availability
• Stakeholder trust
• Ongoing monitoring

Responsible AI Awareness

AI systems can affect employment, privacy, customer access, credit, health, security, and other high-impact decisions.

A credible applicant should be willing to discuss fairness, transparency, accountability, safety, and regulation.

Organizational Change

Introducing AI often changes roles, responsibilities, and decision authority.

Candidates should understand that employees may resist an AI system for practical reasons, not simply because they fear technology.

Communication Across Functions

AI management often requires coordination among:

• Business leaders
• Data scientists
• Engineers
• Legal teams
• Compliance professionals
• Operations teams
• Employees
• Customers

The applicant should be able to translate between these perspectives.

Can HKU MAIB Applicants Be Asked to Record Admission Videos?

A conventional interview isn't part of the process for most HKU MAIB applicants, according to HKU Business School.

HKU MAIB may still reach out to selected applicants and ask them to record and upload additional mandatory admission videos.

HKU has not publicly confirmed an MAIB-specific:

• Recording platform
• Number of questions
• Preparation time
• Response duration
• Retake policy
• Technical assessment
• Case-study format
• Scoring rubric

Candidates should follow the instructions sent directly by HKU because the assessment may differ between programs and application rounds.

What Might an HKU MAIB Admission Video Explore?

Although HKU has not published official MAIB questions, suitable preparation topics include:

• Why the applicant wants to manage AI rather than study only technical AI
• An AI or digital-transformation project
• A business process that could benefit from AI
• A failed technology implementation
• Responsible use of generative AI
• AI bias and fairness
• Employee resistance to automation
• Human oversight
• AI regulation
• Measuring return on AI investment
• The applicant's intended AI-related career

The best master's program interview preparation does not depend on predicting exact wording. It builds a flexible set of examples and principles.

HKU MAIB Admission Requirements

Applicants must hold a recognized bachelor's degree or equivalent qualification. HKU states that most of its master's programs welcome candidates from diverse undergraduate fields.

Relevant academic backgrounds may include:

• Business
• Management
• Information systems
• Computer science
• Data science
• Engineering
• Economics
• Finance
• Psychology
• Law
• Communications
• Social sciences

A business applicant should explain how they are preparing to understand AI models and technical limitations.

A technical applicant should demonstrate interest in organizational strategy, management, implementation, and responsible use.

HKU also confirms that work experience is not mandatory, and fresh graduates may apply.

English-Language Requirements

Applicants who did not complete their previous degree at an English-medium university may need to provide an approved English-language score.

HKU currently lists:

• TOEFL: Minimum 80
• IELTS: Minimum 6.0
• No IELTS subtest below 5.5

The university states that the TOEFL iBT Home Edition and IELTS One Skill Retake are not accepted. Test scores must also satisfy HKU's validity and official-submission requirements.

Are GMAT or GRE Scores Required?

Neither a GMAT nor a GRE score is mandatory for HKU MAIB.

HKU notes that a good result may receive favorable consideration and may assist in marginal cases. The current GMAT program code for the Master of Artificial Intelligence in Business is FS2-WL-15, while the general HKU GRE code is 2482.

How Many References Does HKU MAIB Require?

HKU MAIB asks for two referee statements, with one required to come from an academic referee tied to the applicant's current or former university.

That academic referee needs to attach an official university profile or directory link on the reference form, and HKU may flag the reference as incomplete without it.

Choosing an Academic Referee

A useful academic referee may comment on:

• Analytical thinking
• Technical or quantitative readiness
• Research ability
• Class participation
• Team-project performance
• Problem-solving
• Communication
• Readiness for graduate study

Choosing a Professional Referee

A professional referee may be better positioned to discuss:

• Project ownership
• Technology adoption
• Stakeholder communication
• Initiative
• Organizational judgment
• Cross-functional teamwork
• Adaptability
• Ethical awareness

A detailed recommendation from someone who directly supervised the applicant may carry more useful evidence than a general letter from a senior executive.

HKU MAIB Tuition, Deposit, and Application Deadline

For the 2027 intake, HKU currently lists:

Item	Amount
Proposed tuition	HK$508,000
Initial deposit	HK$169,000
Application fee	HK$780

The HKU MAIB tuition remains subject to university approval, and HKU divides the remaining balance into two payments spread across the academic year rather than collecting it all at once.

As of this writing, HKU Business School's website shows the upcoming 2027 intake application-round deadline at July 24, 2026, 12:00 noon Hong Kong time. Since the school runs several application rounds and updates this date periodically, candidates should check the live figure before submitting.

What Supporting Documents May Be Required?

The application may include:

• Completed online application
• Application-fee payment
• Current résumé or CV
• Academic transcripts
• Degree certificates or enrollment records
• Two referee submissions
• English-language test results, when required
• Passport or identity document
• Optional GMAT or GRE score
• Personal statement or additional materials
• Certified translations, when applicable
• Mandatory admission videos, when invited

HKU accepts soft copies during the application stage, and applicants generally only need to produce original or certified paperwork once an offer has been extended.

HKU generally wants supporting documents uploaded within two working days of the application round's deadline. Updating a file later overwrites the earlier version in that category, so applicants should submit the complete corrected document rather than a single replacement page.

What Does the HKU MAIB Curriculum Cover?

HKU describes the curriculum as multidisciplinary, combining business practices with the scientific foundations of AI.

Artificial Intelligence in Business

This course examines how AI techniques can address problems such as:

• Market analysis
• Customer relationship management
• Human resources management
• Robo-advisory
• Algorithmic trading
• Risk management
• Economic prediction

It also considers the concerns and challenges associated with using AI in business.

Fundamentals of AI Models and Technologies

Students study the foundations, models, techniques, and limitations of artificial intelligence while gaining practical experience designing and developing machine-learning models.

AI Transformation and Organizational Change

This course examines how AI and digital platforms affect business models and organizational structures.

Students analyze successful and unsuccessful cases to identify opportunities and understand how organizations can respond to transformation.

Responsible AI

Students may study ethics, fairness, transparency, accountability, safety, regulation, and compliance in AI applications.

HKU also lists an alternative course in artificial intelligence and digital governance, covering organizational governance and the evolving regulation of AI and digital platforms.

Generative AI

The curriculum includes study of generative AI applications in business, including their development, business uses, risks, opportunities, and role in decision-making.

Capstone Project

HKU states that the curriculum includes a capstone project through which students apply their learning to real AI business challenges. Sample topics include:

• Designing automated AI agents for process optimization and workflow automation
• Designing and evaluating customer-service chatbots

Which Experiences Should HKU MAIB Applicants Prepare?

The most useful examples combine technology with organizational or commercial judgment. Rehearsing them through MYLS Interview can reveal which stories hold up once spoken instead of written.

An AI Use Case With a Clear Business Problem

Begin with the problem rather than the tool.

Possible examples include:

• Reducing customer-service waiting time
• Detecting fraud
• Improving demand forecasting
• Automating document review
• Supporting employee recruitment
• Personalizing recommendations
• Improving quality control
• Streamlining internal reporting

The answer should establish why AI was more suitable than a simpler alternative.

A Technology Project That Faced Adoption Problems

A system can work technically and still fail operationally.

Applicants may discuss:

• Employees avoiding the new tool
• Managers distrusting the output
• Incompatible systems
• Poor workflow design
• Insufficient training
• Unclear ownership
• Weak data quality
• No process for handling exceptions

The answer should show how the candidate diagnosed the underlying issue.

A Responsible-AI Concern

Useful examples may involve:

• Bias in recruitment
• Customer-data privacy
• Automated credit decisions
• Generative AI hallucinations
• Copyright concerns
• Employee monitoring
• Misinformation
• Explainability
• Safety testing
• Human review

A complete answer identifies both the potential value and the required safeguards.

A Cross-Functional Project

AI initiatives often require people with different priorities to work together.

The applicant may describe cooperation among:

• Business teams
• Engineers
• Data scientists
• Legal professionals
• Compliance teams
• Operations
• End users
• Senior leadership

The example should clarify the applicant's contribution to shared understanding.

A Failed Assumption

Applicants should prepare one experience where their initial view proved incomplete.

For example:

• The most advanced model was not the most useful
• More data did not improve performance
• Users did not trust the output
• Automation created extra work
• A process problem was mistaken for a technology problem
• The expected return did not justify implementation

This type of answer demonstrates intellectual honesty.

What AI Management Concepts Should Applicants Understand?

AI Strategy

An AI strategy explains how artificial intelligence supports specific organizational objectives.

It should address:

• Business priorities
• Required data
• Technical capability
• Talent
• Governance
• Implementation
• Measurement

An AI strategy is not simply a list of tools the company plans to buy.

Build, Buy, or Partner

Organizations must decide whether to:

• Develop an AI system internally
• Purchase an external product
• Partner with a specialist provider
• Use a combination of approaches

The decision depends on cost, control, data sensitivity, expertise, speed, customization, and long-term dependence on vendors.

AI Readiness

AI readiness refers to whether an organization has the data, systems, skills, governance, leadership support, and processes needed to implement AI effectively.

A company may be interested in AI without being ready to use it responsibly.

Model Governance

Model governance includes the policies and responsibilities used to approve, monitor, document, update, and retire models.

Governance should define:

• Who owns the model
• Who approves its use
• Which tests are required
• How performance is monitored
• When human review is needed
• What happens when the model fails

Human-in-the-Loop Systems

A human-in-the-loop system keeps human judgment within an automated process.

This may be especially important for unusual cases, high-impact decisions, complaints, or situations where the model has low confidence.

Algorithmic Bias

Algorithmic bias occurs when a system produces systematically unfair outcomes.

Bias may enter through:

• Historical data
• Sample selection
• Labels
• Proxy variables
• Model objectives
• Deployment decisions
• Feedback loops

Removing a protected attribute does not automatically eliminate bias.

Explainability

Explainability concerns whether users and decision-makers can understand why an AI system produced a result.

The level of explanation needed depends on the use case. A product recommendation may require different safeguards from an employment, credit, or medical decision.

AI Transformation

AI transformation refers to organizational change driven by AI adoption.

It can affect:

• Roles
• Workflows
• Decision authority
• Skills
• Performance measurement
• Customer experience
• Organizational structure

Technology implementation without change management may produce limited value.

Generative AI Governance

Generative AI can create text, images, code, and other content.

Organizations should consider:

• Hallucination risk
• Confidential information
• Copyright
• Prompt and output security
• Human review
• Approved use cases
• Recordkeeping
• Vendor controls

What Makes an HKU MAIB Answer Sound Weak?

"AI Will Replace Most Jobs"

The statement is too broad and ignores task-level change, new responsibilities, organizational choices, and differences across industries.

"Companies Should Use AI to Become More Efficient"

The applicant should identify the process, users, expected benefit, cost, and risk.

"Human Review Solves the Problem"

Human oversight helps only when reviewers have enough information, authority, time, and training to challenge the system.

"AI Is Objective Because It Uses Data"

Data reflects previous decisions, measurement choices, and social conditions. AI output is not automatically neutral.

"I Want to Learn the Latest AI Tools"

Tools change quickly. The candidate should identify the enduring capabilities they need, such as implementation, governance, evaluation, or organizational leadership.

"Employees Resist AI Because They Fear Change"

Resistance may reflect valid concerns about workload, job design, accountability, reliability, or poor implementation.

"A More Accurate Model Is Always Better"

The best model must also be understandable, affordable, stable, fair, secure, and appropriate for the decision.

HKU MAIB Sample Admission Video Questions and Answers

The following are practice prompts, not officially released HKU MAIB questions.

Question 1: Why Do You Want to Study Artificial Intelligence in Business?

Weak answer:

"AI is growing quickly and will transform every industry. I want to learn the latest technology and become an AI leader."

Why Does It Fall Short?

The response offers enthusiasm but no experience, learning need, or defined management problem.

Strong answer:

"My interest became more specific during an internship where our team tested a generative AI tool for internal research. The tool produced summaries quickly, but staff used it inconsistently and rarely checked the cited information. I realized that the main challenge was not access to AI. It was designing an appropriate workflow, defining review responsibilities, and deciding which information should never be entered into the system. That experience made me interested in AI implementation and governance rather than technology alone. HKU MAIB fits my goal of managing AI projects that create measurable value while maintaining clear accountability."

Why Does It Work?

The answer connects an actual experience, implementation problem, changed understanding, program fit, and career direction.

Question 2: Should a Company Replace Its Customer-Service Team With an AI Chatbot?

Weak answer:

"Yes. A chatbot can answer questions faster and reduce labor costs."

Why Does It Fall Short?

The candidate focuses only on efficiency and assumes that full replacement is the correct design.

Strong answer:

"I would first separate routine requests from complex or sensitive cases. A chatbot may handle account-status questions, basic product information, and common troubleshooting, but customers should be transferred to a trained employee when the issue involves unusual circumstances, complaints, financial loss, or low-confidence answers. I would evaluate resolution rate, customer satisfaction, escalation quality, error frequency, and operating cost. The objective should be a better service model, not automation for its own sake."

Why Does It Work?

The response defines the use case, boundaries, human role, and evaluation metrics.

Question 3: How Would You Respond If Employees Refused to Use a New AI Tool?

Weak answer:

"I would explain the benefits and provide more training so employees understand that AI will help them."

Why Does It Fall Short?

The response assumes that employees lack knowledge rather than investigating whether their concerns are valid.

Strong answer:

"I would begin by observing the workflow and speaking with the employees who are expected to use the tool. Their resistance might result from unreliable output, additional review work, unclear accountability, poor integration, or concern about how performance will be measured. I would separate training issues from system-design issues and test the tool with a smaller group. If the use case remains valuable, I would redesign the workflow, clarify responsibilities, and introduce performance measures that reflect quality rather than simple usage."

Why Does It Work?

The candidate treats resistance as diagnostic evidence and connects adoption to workflow design.

Question 4: What Is One Risk of Using Generative AI in Business?

Weak answer:

"Generative AI can provide incorrect answers, so employees should double-check everything."

Why Does It Fall Short?

The risk is valid, but the proposed safeguard is too vague and may be unrealistic at scale.

Strong answer:

"One risk is that employees may treat fluent output as reliable evidence even when the model has invented information. I would classify use cases according to impact. Low-risk brainstorming may require only basic review, while legal, financial, or customer-facing content should use approved sources, documented verification steps, and accountable human sign-off. The organization should also monitor recurring error patterns and restrict tasks where verification is not practical."

Why Does It Work?

The response provides risk classification, process controls, accountability, and monitoring.

Applicants can practice HKU MAIB interview questions on MYLS Interview to refine their responses and ensure they connect technical ideas with business value, governance, and practical implementation.

The ADOPT Framework for HKU MAIB Answers

The ADOPT framework can help applicants structure AI implementation and governance responses.

A: Articulate the Business Need

Define the process, decision, or customer problem.

D: Determine AI Suitability

Explain why AI is appropriate and whether a simpler solution could work.

O: Outline the Operating Model

Describe data, people, workflow, ownership, and system integration.

P: Protect Against Risk

Address fairness, privacy, security, reliability, compliance, and human review.

T: Track the Outcome

Define success metrics, monitoring, and conditions for revising or stopping the system.

This structure prevents applicants from discussing AI as a standalone technology.

HKU MAIB Application and Video Preparation Checklist

Application preparation	Admission-video preparation
Confirm degree and English-language eligibility	Prepare four distinct AI-related examples
Arrange two appropriate referees	Practice one implementation-failure question
Review the MAIB curriculum and capstone	Prepare one responsible-AI scenario
Define an AI management career direction	Record a concise program-motivation answer
Upload documents within the required period	Check that every answer includes business value and risk

How MYLS Interview Supports HKU MAIB Preparation

AI-related responses can sound impressive while remaining vague about users, workflows, risks, and results. MYLS Interview provides an AI-powered mock interview platform featuring realistic video interview practice with a program-specific video interview questions to help applicants make their reasoning more concrete.

• AI-Focused Question Range: Access to 190+ tailored programs and 24,000+ interview-style questions gives applicants exposure well beyond a short list of predictable AI and management scenarios.
• Realistic Video Interview Practice: Timed, on-camera questions help applicants improve pacing, eye contact, confidence, and answer structure without memorizing a full script.
• HKU MAIB Video Interview Simulation: Practise program-specific themes such as AI strategy, generative AI, governance, organizational change, responsible AI, stakeholder management, and career motivation.
• Feedback That Names the Gap: Overall scores, aspect scores, and skill-level analysis pair with per-question comments that point directly to missing evidence, weak implementation logic, or incomplete risk analysis.
• Recording Playback and Transcript Review: Applicants can replay responses, inspect transcripts, and use phrase-level highlights to locate vague terms such as "innovation," "efficiency," and "AI transformation" that were never supported.
• Vocabulary Improvement Suggestions: Candidates can use more precise language when discussing model governance, explainability, workflow integration, human oversight, adoption, accountability, and business value.
• Practice at Whatever Depth Helps: A complete simulation covers every theme in sequence, or applicants can drill into a single weak spot, such as responsible AI or organizational change, until it holds up.

What Can HKU MAIB Applicants Do on MYLS Interview?

Applicants can answer HKU MAIB interview questions, review the video and transcript, examine personalized feedback, revise one weak part of the answer, and record another attempt.

Question audio and the built-in device check support a more structured practice experience. Interview history and skill tracking also allow applicants to compare repeated sessions.

Sign up for FREE and Start Practicing Today!

Final HKU MAIB Admission Video Readiness Check

Before completing a possible HKU admission assessment, applicants should be prepared to explain:

1. Which business problem first made you interested in AI management?
2. How would you determine whether AI is appropriate for a process?
3. What organizational barrier can cause an AI project to fail?
4. When should a human have authority to override an AI system?
5. Which generative AI risk should businesses take more seriously?
6. Why does HKU MAIB fit your current skills gap and career objective?

A convincing candidate does not discuss AI only in terms of model capability. The response connects business purpose, organizational readiness, governance, implementation, and measurable results.

Applicants weighing HKU MAIB against other technical or business master's programs can also browse other MYLS graduate interview programs to prepare for more than one application at a time.

Final Thoughts on the HKU MAIB Application

The HKU Master of Artificial Intelligence in Business application should show that the applicant understands the difference between using an AI tool and managing AI responsibly across an organization.

Strong preparation begins with a real business problem, evaluates whether AI is suitable, considers employees and workflows, establishes safeguards, and defines how success will be measured.

That combination of AI awareness, business judgment, organizational understanding, and responsible governance is what makes an HKU MAIB response credible.

People Also Ask

Is HKU MAIB a Technical Degree?

HKU MAIB includes foundational and advanced AI models and technologies, but its primary distinction is its focus on managing AI in organizations. Students also study strategy, organizational change, regulation, ethics, and implementation.

Can Applicants Without a Computer Science Degree Apply to HKU MAIB?

Yes. HKU Business School welcomes applicants from diverse academic backgrounds for most master's programs. Candidates without technical degrees should demonstrate readiness to learn AI foundations, while technical applicants should explain their interest in business management and implementation.

What Careers Can HKU MAIB Support?

HKU lists potential roles including AI manager, project manager, management consultant, AI consultant, product specialist, and compliance specialist across technology companies, retailers, financial institutions, accounting firms, marketing agencies, and multinational organizations.

Frequently Asked Questions (FAQs)

Does Every HKU MAIB Applicant Attend an Interview?

Not every HKU MAIB applicant sits through a conventional interview. HKU skips that step for most candidates, though selected applicants may still be asked to record and upload mandatory admission videos as part of the review. No fixed platform, question count, or scoring approach has been made public for this step, so anyone invited should follow whatever instructions HKU sends rather than assume the process mirrors another program's format.

What Are the HKU MAIB Application Fee and Tuition Costs?

A nonrefundable HK$780 fee comes with every HKU MAIB application. For the 2027 intake, the proposed tuition sits at HK$508,000, with a HK$169,000 initial deposit and the rest split into two payments across the academic year. Because these numbers remain subject to university approval and can shift between cycles, checking the live admissions page shortly before submitting is the most reliable way to confirm what will actually be charged.

How Many References Does HKU MAIB Require?

HKU MAIB asks for two referee statements, and one of them needs to be an academic referee connected to the applicant's university, past or present. That referee also has to attach an official university profile or directory link on the form, and skipping it can leave the reference marked incomplete. A second referee from a workplace setting is often more useful when they can point to a specific project rather than just vouch for character in general terms.

Are GMAT or GRE Scores Required?

GMAT and GRE results stay optional for HKU MAIB, though HKU mentions that a solid score can tip things in an applicant's favor when a decision is close. This tends to matter most for candidates whose undergraduate transcript doesn't clearly demonstrate quantitative or analytical readiness on its own. The current MAIB GMAT program code is FS2-WL-15, and HKU's general GRE code is 2482.

Is Work Experience Required?

HKU hasn't published a set work-experience threshold for MAIB, and the program explicitly welcomes fresh graduates alongside candidates who've already spent time in the workforce. Applicants without professional experience can lean on internships, class projects, research, or student leadership to show they understand how organizations actually function. What matters more than years worked is whether the applicant can connect that experience to a real business or implementation problem.

Does HKU Publish Official MAIB Admission Video Questions?

No permanent MAIB question bank, recording platform, response time limit, preparation window, retake policy, or scoring rubric has been made public by HKU. Candidates who end up shortlisted typically only learn the specific format once HKU contacts them directly, not through any general resource published in advance. Time spent practicing how to connect an AI use case to a real business problem tends to be more valuable than trying to guess the exact questions ahead of time.