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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

In enterprise RAG, how should permissions affect retrieval?

Retrieve broadly and hide unauthorized sources in the citations.

Apply security trimming so only documents the user is authorized to access are eligible for retrieval and citation.

Ask users to self‑filter after generation.

Use the full corporate index for better coverage regardless of user rights.

Question 2

Which Microsoft Azure service is specifically designed for building, training, and deploying machine learning models?

Azure DevOps

Azure Cognitive Services

Azure Machine Learning

Azure Data Factory

Question 3

Which practice best guards against harmful hallucinations in LLM powered workflows that generate customer facing content?

RAG with source grounding and citation enforcement

Relying on larger models only, since bigger models hallucinate less

Increase temperature during generation to explore more diverse outputs

Block risky words to avoid unsafe content

Question 4

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 5

Which feature helps organizations track how Copilot is being used across Microsoft 365?

Windows Event Viewer

Microsoft 365 Audit Logs and Usage Reports

Task Manager

PowerShell ISE

Question 6

A human in the loop review is required before AI generated medical advice is published. Which workflow most effectively enforces this control?

Let authors self attest that they reviewed the content

Add a terms of service disclaimer to the website footer

Require a reviewer approval with role based access control and immutable logging before release

Place the model behind VPN

Question 7

In ResNet architectures, what problem do skip connections (residual connections) primarily address?

Reducing the number of trainable parameters

Eliminating the need for batch normalization

Mitigating vanishing gradient problem in very deep networks

Increasing receptive field size without additional layers

Question 8

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 9

The most effective mitigation against prompt injection in enterprise assistants is:

Increase temperature to reduce deterministic attacks.

Rely on user vigilance instead of technical controls.

Ask the model to ignore adversarial instructions and trust all links.

Constrain tool access and enforce allow‑listed data sources with content filtering and input/output validation.

Question 10

When deploying an Azure Machine Learning model for real‑time inference, the recommended endpoint type is:

Batch Endpoint

Managed Online Endpoint

Azure Kubernetes Service only

Storage Account Trigger

Question 11

Which metric is most appropriate for evaluating an imbalanced classification problem?

Accuracy

Mean Squared Error

Precision-Recall or F1 Score

R-squared

Question 12

What does the attention mechanism in transformer models primarily improve?

Model compression

Parallel data processing

Long-range dependency handling

Training speed on CPUs

Question 13

What is overfitting in machine learning?

When a model performs poorly on training data

When a model performs well on unseen data

When a model performs well on training data but poorly on new data

When a model is too small to learn patterns

Question 14

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 15

For function calling/tool use, when is it preferable over pure text generation?

When you want the model to ignore external systems.

When text output is unacceptable regardless of constraints.

When creative writing quality matters most.

When the task requires structured actions/data (e.g., querying a system, returning typed fields) with parameter validation.

Question 16

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 17

In the context of reinforcement learning, what does the term “exploration vs. exploitation” refer to?

The trade-off between trying out new actions to discover their effects and selecting the best-known action to maximize reward

The process of balancing the number of layers in a neural network

The decision between using supervised or unsupervised learning techniques

The choice between using CPU or GPU for model training

Question 18

How do temperature and top_p differ in decoding?

Both set the maximum output length.

They are identical parameters with different names.

Top_p increases creativity while temperature controls factuality.

Temperature scales logits uniformly; top_p samples from the smallest set of tokens whose cumulative probability exceeds p.

Question 19

Which AWS AI service automates computer vision tasks like object and scene detection without model training?

Amazon Comprehend

Amazon SageMaker Ground Truth

Amazon Rekognition

Amazon Translate

Question 20

Which of the following is a common evaluation metric for classification models?

Accuracy

Mean Squared Error

R-squared

Root Mean Squared Error

Quiz Results

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