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AI User - Digital Skill Cup 2026

Digital Skills Cup 2026

Welcome to the Digital Skill Cup 2026 for AI User

Once you register with your name and email, the quiz starts immediately.
You have 5 minutes to complete the quiz.
No pauses. No switching between windows, no copy-pasting.
Scoring is based on the number of correct answers and the lower time to complete the quiz, in case of a tie.
Use a valid email address and your real name for registration.
You have 1 attempt.
Good luck :)

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Digital Skill Cup 2026 - AI User All

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Question 1

AI systems can sometimes produce incorrect or biased results.

Yes

No

Question 2

What is a major ethical concern for end user AI systems?

Over-personalization leading to privacy risks

High computational cost

Too many user interface themes

Excessive documentation

Question 3

What is a common risk when relying too heavily on AI-generated content?

Increased computing costs

Hallucinated or incorrect information

Slower document creation

Limited language support

Question 4

In human-AI collaboration, what is the main risk of 'automation bias'?

Users overestimate AI's computational cost

Users rely too heavily on AI suggestions

AI systems ignore user feedback

AI models become less explainable

Question 5

When asking AI to draft a policy document, which prompt strategy is most effective?

Provide role, goal, target audience, constraints and desired structure in prompt

Usa a single short prompt and accept the first draft

Ask the AI to be creative without giving context

Prompt the AI with only a policy title and let it decide all details

Question 6

Which statement about generative AI is TRUE?

It always produces factual answers

It can generate new content based on learned patterns

It replaces the need for human judgment

It only works with numerical data

Question 7

In reinforcement learning, what does an agent learn from? (Select all that apply)

Labeled datasets

Rewards and penalties

Trial-and-error interactions

Predefined rules

Question 8

What does an LLM 'hallucination' typically mean?

The model produces plausible-sounding but incorrect or unsupported information.

The response contains typos or grammar mistakes.

A refusal because the request violates safety policies.

A timeout due to server latency.

Question 9

If you need citations to enterprise sources, which request is best?

Cite web results and social media posts for broader coverage.

Use only public sources to avoid sensitive data.

Prefer vendor blogs and press releases over internal documents.

Use only my Microsoft 365 content; cite file names or links for each claim.

Question 10

How can AI help improve business decision-making?

By analyzing large datasets to identify trends, risks, and opportunities faster than humans

By making all decisions automatically, without human input

By replacing the need for business strategy and planning

By guaranteeing 100% accuracy in all predictions

Question 11

Which of the following is an example of a generative AI task?

Scanning documents for viruses

Generating a text summary from a long report

Increasing internet connection speed

Encrypting hard drives

Question 12

What function does the Microsoft Azure OpenAI Service provide?

Providing GPT models via an API

Automatically generating PowerPoint presentations

Managing IoT devices

Backing up SQL databases

Question 13

What is the best way to ask for structured output?

Paste a few examples but give no instructions.

Request bullet points and let the model choose the headings.

Specify a target schema (table/JSON) with required fields and ask to validate missing values.

Ask the model to pick whatever format it prefers.

Question 14

What is prompt engineering?

Debugging AI

Designing effective AI inputs

Data encryption

Model training

Question 15

Which of the following is a key feature of AI Copilot?

Real-time assistance

Offline functionality

Limited language support

Manual updates

Question 16

Why is human review important when using AI-generated business content?

AI outputs may reflect bias

AI tools always follow company policies

AI may misunderstand context

AI outputs are legally binding

Question 17

What is prompt engineering most concerned with?

Crafting inputs to get desired outputs from AI

Designing AI hardware

Building neural network architectures

Improving GPU performance

Question 18

What is a typical application of prompt engineering?

Hardware tuning for GPUs

Training new neural networks

Optimizing inputs for generative AI

Creating databases

Question 19

What is the main purpose of generative AI tools?

Secure networks

Automate creative and repetitive tasks

Replace humans

Manage infrastructure

Question 20

In many LLMs, what does 'temperature' control?

Sampling randomness/creativity of outputs—higher values produce more varied responses.

The size of the context window available.

The maximum number of tokens allowed per response.

The freshness of the model's knowledge.

Quiz Results

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