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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

Which of the following is NOT a common technique used in Natural Language Processing (NLP) for text preprocessing?

Tokenization

Stemming

K-means clustering

Stop word removal

Question 2

In AWS SageMaker, which feature allows training models without manual server setup?

SageMaker Studio

SageMaker Autopilot

SageMaker Ground Truth

SageMaker Pipelines

Question 3

A marketing team wants to use AI to segment customers by behaviour while complying with privacy laws. Which first step balances value and compliance?

Run a privacy impact assessment and define a data minimization plan before model work.

Ingest all raw clickstream data and start training model immediately

Purchase a pretrained model and skip internal data collection

Hash all identifiers and consider the data anonymized

Question 4

Which of the following techniques are used to optimize model size and speed? (Choose 2)

Batch Normalization

Quantization

Overfitting

Pruning

Question 5

Which AWS services are commonly used together in a RAG architecture?

Amazon Bedrock

Amazon OpenSearch Service

Amazon S3

Amazon CloudFront

Question 6

Which technique is most effective for reducing overfitting in deep neural networks?

Increasing the learning rate

Adding more hidden layers

Applying dropout regularization

Using a smaller dataset

Question 7

Which algorithm is commonly used for training deep neural networks?

K-Means

Gradient Descent

Apriori

Dijkstra’s Algorithm

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 Microsoft tool helps govern and protect AI-generated data in Microsoft 365?

Microsoft Purview

Microsoft Defender for Endpoint

Microsoft Sentinel

Azure Monitor

Question 10

What is a key risk associated with deploying AI models in production without continuous monitoring?

Increased training cost

Model drift over time

Reduced hardware utilization

Overfitting the training data

Question 11

Which monitoring signal best indicates policy‑risk in outputs?

Frequent use of technical jargon.

Long output length alone.

High sentiment polarity in responses.

Detection of personal or sensitive attributes in generated text via content‑safety classifiers with human review on flags.

Question 12

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 13

What is the main advantage of using transfer learning in AI models?

Eliminates the need for labeled data

Reduces training time and required data

Guarantees higher accuracy

Removes model bias completely

Question 14

What does the term "RAG" (Retrieval-Augmented Generation) describe?

A method for image compression

Extending a model by retrieving external, up-to-date data during a query

Automatically deleting outdated training data

A special GPU cluster from NVIDIA

Question 15

Which failure mode is common in naïve RAG deployments?

Excessive creativity because of low temperature.

Overfitting to the training data during inference.

Retrieval of stale documents due to missing freshness signals or update workflows.

Guaranteed perfect citations in every response.

Question 16

Which process is used to adapt an already trained model with specific data for a niche?

Backpropagation

Fine-Tuning

Data Scrubbing

Hard Coding

Question 17

What does the vanishing gradient problem affect most?

Loss calculation

Early neural network layers

Output layers

Data normalization

Question 18

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 19

What is a practical symptom of exceeding the context window in long conversations?

The UI locks until memory is cleared.

The model always restarts with a new system prompt.

Earlier turns become truncated, causing the model to lose constraints or definitions introduced previously.

The model writes shorter sentences only.

Question 20

Which metrics are crucial for evaluating the performance of a classification model? (Choose 2)

F1-Score

Precision

Clock Speed

HTTP Latency

Quiz Results

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