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AI Pro - Digital Skill Cup 2026

Digital Skills Cup 2026

Welcome to the Digital Skill Cup 2026 for AI Pro

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 Pro All

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Question 1

Reinforcement learning requires a reward signal to guide learning.

Yes

No

Question 2

In Microsoft Azure, which service best supports retrieval augmented generation for enterprise documents with minimal ops burden?

Azure Machine Learning + Azure Container Instances

Azure Functions + Azure Queue Storage

Azure OpenAI Service + Azure AI Search (Cognitive Search)

Azure Databricks + Azure Files

Question 3

Which metric best measures agent workload without harming customer expirience for customer support chatbot?

Total conversations started

Exact match intent accuracy on a test set

Deflection rate combined with post chat CSAT for deflected sessions

Average handle time for human agents only

Question 4

What does Microsoft recommend to control access to AI features like Copilot?

Manual user approval

Role-Based Access Control and Conditional Access

Local admin permissions

Disabling MFA

Question 5

What is the main advantage of using transformers in NLP?

Capturing long-range dependencies

Reducing dataset size

Improving image compression

Increasing disk access speed

Question 6

What is the primary purpose of AutoML in Azure Machine Learning?

Automatic feature selection

Data cleaning

Automatic training, tuning and model selection

Automatic deployment only

Question 7

What is the primary benefit of using immutability in functional?

Improved readability of code

Easier concurrency and state management

Faster runtime execution

Reduced memory consumption

Question 8

Which technique is used to ensure reproducibility in ML experiments?

Random seed fixing

Increasing model depth

Using larger datasets

Removing version control

Question 9

Which factors should be considered when selecting a foundation model?

Latency requirements

Cost per token

Brand popularity only

Task-specific performance

Question 10

Which statement correctly contrasts grounding and fine‑tuning?

Grounding uses existing enterprise content at inference; fine‑tuning modifies model weights using training examples.

Fine‑tuning happens automatically during normal chat use.

Grounding permanently changes the model’s weights.

Grounding requires labeled datasets like supervised training.

Question 11

What’s an advanced habit formation tactic for AI power users?

Disable templates to force improvisation.

Use one universal prompt for all tasks to stay consistent.

Maintain a tagged prompt library with A/B notes, link templates to specific workflows, and review outcomes weekly.

Avoid tracking results to save time.

Question 12

Which Azure tool supports fairness and explainability analysis?

Azure Synapse

Responsible AI Dashboard

Data Factory

Azure DevOps

Question 13

In Azure AI Search: What is the advantage of "Vector Search" compared to classic full-text search?

It requires no indexing

It finds results based on semantic similarity rather than just keywords

It is always free

It only works with image files

Question 14

Which Microsoft service provides access to OpenAI models (such as GPT-4) within the Azure infrastructure?

Azure Cognitive Search

Microsoft 365 Copilot

Microsoft Copilot Studio

Azure OpenAI Service

Question 15

An ML Ops engineer needs to detect data drift in a production model predicting loan default probability. Which approach best balances sensitivity and false alarms?

Alert on any single feature Kolmogorov - Smirnov test with p < 0.05

Use population stability index (PSI) thresholds plus periodic performance backtesting on labeled samples

Retrain the model automatically whenever input schema changes

Compare daily means only for each feature

Question 16

Which scenario best represents a responsible use of AI like Copilot in the enterprise?

Allowing Copilot to publish content without review

Using Copilot to assist users while keeping human validation and governance controls

Disabling all security controls to improve AI accuracy

Replacing compliance processes with AI automation only

Question 17

Which tokenization detail is generally true for modern LLMs?

They use subword units (e.g., BPE), so words can split into multiple tokens depending on vocabulary.

Numerals are never split into multiple tokens.

Each character always maps to exactly one token.

Token boundaries always align with whitespace.

Question 18

Which algorithm is commonly used for training deep neural networks?

K-Means

Gradient Descent

Apriori

Dijkstra’s Algorithm

Question 19

What is the main purpose of a confusion matrix in machine learning?

To visualize the distribution of data features

To reduce the dimensionality of the dataset

To optimize hyperparameters during model training

evaluate the performance of a classification model by showing true positives, true negatives, false positives, and false negatives

Question 20

In Large Language Models (LLMs), tokenization is used to:

Compress model weights

Convert raw text into numerical representations

Encrypt training data

Optimize GPU utilization

Quiz Results

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