Practice Exam 1 – 60 Questions (with Answer key at the end)
Note: The exam is separated into topic sections to help with context and preparation, but the real exam will not be like that.
SECTION 1: Describe Artificial Intelligence workloads and considerations (Questions 1–10)
Question 1 (Single choice)
Which scenario is the best example of an AI workload?
A. A rules-based system that routes emails based on keywords
B. A dashboard that displays historical sales data
C. A system that predicts customer churn based on historical behavior
D. A script that automatically renames files
Question 2 (Multi-select – Choose TWO)
Which characteristics are commonly associated with AI solutions?
A. Deterministic outputs
B. Ability to improve with experience
C. Dependence on labeled or unlabeled data
D. Use of static business rules
Question 3 (Scenario – Single choice)
A company wants to automatically approve or reject loan applications based on past decisions and applicant attributes.
Which AI workload type does this represent?
A. Computer vision
B. Anomaly detection
C. Classification
D. Natural language processing
Question 4 (Matching)
Match each AI workload to its correct description:
| AI Workload | Description |
|---|---|
| 1. Classification | A. Identify unusual patterns |
| 2. Regression | B. Assign items to categories |
| 3. Clustering | C. Group similar items without labels |
| 4. Anomaly detection | D. Predict numeric values |
Question 5 (Single choice)
Which factor is most important when evaluating the ethical impact of an AI solution?
A. Processing speed
B. Model size
C. Potential bias in training data
D. Storage cost
Question 6 (Scenario – Single choice)
An AI system used for hiring consistently favors one demographic group.
Which Responsible AI principle is most directly violated?
A. Reliability
B. Transparency
C. Fairness
D. Privacy
Question 7 (Multi-select – Choose TWO)
Which scenarios would typically require human oversight when deploying AI solutions?
A. Medical diagnosis recommendations
B. Image resizing
C. Credit approval decisions
D. Log file compression
Question 8 (Fill in the blank)
The ability for users to understand how an AI model makes decisions relates to the principle of __________.
Question 9 (Single choice)
Which workload is best suited for predicting future sales revenue?
A. Classification
B. Regression
C. Clustering
D. Object detection
Question 10 (Scenario – Single choice)
A system groups customers into segments without predefined labels.
Which AI approach is being used?
A. Supervised learning
B. Reinforcement learning
C. Unsupervised learning
D. Deep learning
SECTION 2: Describe fundamental principles of machine learning on Azure (Questions 11–20)
Question 11 (Single choice)
Which Azure service is primarily used to build, train, and deploy machine learning models?
A. Azure AI Vision
B. Azure Machine Learning
C. Azure OpenAI
D. Azure Cognitive Search
Question 12 (Multi-select – Choose TWO)
Which elements are required to train a supervised machine learning model?
A. Labeled data
B. Feature engineering
C. Pretrained transformers
D. Inference endpoints
Question 13 (Scenario – Single choice)
You want to predict house prices based on size, location, and age.
Which type of machine learning model should you use?
A. Classification
B. Regression
C. Clustering
D. Anomaly detection
Question 14 (Single choice)
Which term describes input variables used by a machine learning model?
A. Labels
B. Features
C. Targets
D. Metrics
Question 15 (Matching)
Match the learning type to the description:
| Learning Type | Description |
|---|---|
| 1. Supervised | A. Learns from rewards |
| 2. Unsupervised | B. Uses labeled data |
| 3. Reinforcement | C. Finds patterns without labels |
Question 16 (Scenario – Multi-select – Choose TWO)
Which actions help reduce overfitting?
A. Increasing model complexity
B. Using more training data
C. Applying regularization
D. Training for more epochs indefinitely
Question 17 (Single choice)
Which metric is most appropriate for evaluating a classification model?
A. Mean Absolute Error
B. R-squared
C. Accuracy
D. RMSE
Question 18 (Fill in the blank)
Splitting data into training and testing sets helps evaluate a model’s __________.
Question 19 (Scenario – Single choice)
You want to visually design and deploy ML models without writing code.
Which Azure feature should you use?
A. Azure ML SDK
B. Azure ML designer
C. Azure OpenAI Studio
D. Azure AI Foundry
Question 20 (Single choice)
Which phase of the ML lifecycle involves using the model to make predictions?
A. Training
B. Validation
C. Inference
D. Feature selection
SECTION 3: Describe features of computer vision workloads on Azure (Questions 21–30)
Question 21 (Single choice)
Which Azure service is used for analyzing images and extracting visual information?
A. Azure AI Language
B. Azure AI Vision
C. Azure Machine Learning
D. Azure Cognitive Search
Question 22 (Scenario – Single choice)
A retail company wants to detect products on shelves using images.
Which computer vision task is required?
A. Image classification
B. OCR
C. Object detection
D. Face recognition
Question 23 (Multi-select – Choose TWO)
Which tasks are supported by Azure AI Vision?
A. Optical character recognition
B. Sentiment analysis
C. Image tagging
D. Language translation
Question 24 (Single choice)
What does OCR stand for?
A. Optical Code Recognition
B. Optical Character Recognition
C. Object Classification Rule
D. Optical Content Rendering
Question 25 (Scenario – Single choice)
You want to extract printed text from scanned invoices.
Which feature should you use?
A. Face detection
B. OCR
C. Image segmentation
D. Video analysis
Question 26 (Matching)
Match the vision task to the outcome:
| Task | Outcome |
|---|---|
| 1. Image classification | A. Identify objects and locations |
| 2. Object detection | B. Convert images to text |
| 3. OCR | C. Assign labels to images |
Question 27 (Single choice)
Which scenario is least appropriate for computer vision?
A. Identifying damaged products
B. Reading license plates
C. Detecting spoken commands
D. Counting people in a room
Question 28 (Scenario – Multi-select – Choose TWO)
Which Responsible AI concerns apply to facial recognition systems?
A. Privacy
B. Bias
C. Latency
D. Overfitting
Question 29 (Single choice)
Which Azure tool provides prebuilt vision models via REST APIs?
A. Azure ML Studio
B. Azure AI Vision
C. Azure OpenAI
D. Azure Data Factory
Question 30 (Fill in the blank)
Detecting the location and boundaries of objects in an image is called __________.
SECTION 4: Describe features of NLP workloads on Azure (Questions 31–40)
Question 31 (Single choice)
Which Azure service is primarily used for NLP workloads?
A. Azure AI Vision
B. Azure AI Language
C. Azure Machine Learning
D. Azure OpenAI
Question 32 (Scenario – Single choice)
You want to identify whether customer reviews are positive or negative.
Which NLP task should you use?
A. Key phrase extraction
B. Named entity recognition
C. Sentiment analysis
D. Language detection
Question 33 (Multi-select – Choose TWO)
Which tasks are supported by Azure AI Language?
A. Entity recognition
B. Text summarization
C. Image captioning
D. Speech synthesis
Question 34 (Single choice)
What is tokenization in NLP?
A. Converting text to audio
B. Splitting text into smaller units
C. Translating languages
D. Removing punctuation
Question 35 (Scenario – Single choice)
You want to extract company names from contracts.
Which NLP feature should you use?
A. Sentiment analysis
B. Language detection
C. Named entity recognition
D. Speech-to-text
Question 36 (Matching)
Match the NLP task to its purpose:
| Task | Purpose |
|---|---|
| 1. Language detection | A. Identify people, places, orgs |
| 2. Entity recognition | B. Determine text language |
| 3. Key phrase extraction | C. Extract main ideas |
Question 37 (Single choice)
Which service converts spoken language into text?
A. Azure AI Language
B. Azure AI Vision
C. Azure AI Speech
D. Azure OpenAI
Question 38 (Scenario – Multi-select – Choose TWO)
Which scenarios use NLP?
A. Chatbots
B. Image classification
C. Document analysis
D. Face detection
Question 39 (Fill in the blank)
Automatically identifying the language of a document is called __________ detection.
Question 40 (Single choice)
Which Azure service combines speech-to-text and text-to-speech capabilities?
A. Azure AI Language
B. Azure AI Vision
C. Azure AI Speech
D. Azure Cognitive Search
SECTION 5: Describe features of generative AI workloads on Azure (Questions 41–60)
Question 41 (Single choice)
What is the defining characteristic of generative AI?
A. Predicting numeric values
B. Generating new content
C. Classifying existing data
D. Detecting anomalies
Question 42 (Scenario – Single choice)
A system generates marketing copy based on a short prompt.
Which model type is being used?
A. Regression model
B. Classification model
C. Large language model
D. Decision tree
Question 43 (Multi-select – Choose TWO)
Which tasks are common for generative AI?
A. Text generation
B. Image generation
C. Anomaly detection
D. Clustering
Question 44 (Single choice)
Which Azure service provides access to GPT models?
A. Azure Machine Learning
B. Azure AI Vision
C. Azure OpenAI
D. Azure AI Language
Question 45 (Scenario – Single choice)
You want to deploy a chat-based AI assistant using Microsoft-managed models.
Which service should you use?
A. Azure ML
B. Azure AI Foundry
C. Azure OpenAI
D. Azure Cognitive Search
Question 46 (Matching)
Match the concept to the description:
| Concept | Description |
|---|---|
| 1. Prompt | A. Fine-tuning model behavior |
| 2. Grounding | B. Input provided to model |
| 3. Fine-tuning | C. Connecting to trusted data |
Question 47 (Single choice)
What is prompt engineering?
A. Training models from scratch
B. Designing effective model inputs
C. Monitoring model drift
D. Compressing datasets
Question 48 (Scenario – Multi-select – Choose TWO)
Which Responsible AI risks are especially relevant to generative AI?
A. Hallucinations
B. Toxic content
C. Feature scaling
D. Data normalization
Question 49 (Single choice)
Which feature helps ensure generative AI responses are based on company data?
A. Fine-tuning
B. Grounding
C. Tokenization
D. Embedding compression
Question 50 (Fill in the blank)
When a model produces incorrect but confident responses, this is called __________.
Question 51 (Single choice)
Which Azure platform provides a model catalog for generative AI?
A. Azure OpenAI Studio
B. Azure AI Foundry
C. Azure Machine Learning
D. Azure AI Vision
Question 52 (Scenario – Single choice)
You want to compare multiple foundation models before deployment.
Which Azure capability helps most?
A. Azure AI Foundry model catalog
B. Azure ML pipelines
C. Azure Data Factory
D. Azure Synapse
Question 53 (Multi-select – Choose TWO)
Which are considered foundation models?
A. GPT
B. BERT
C. Decision trees
D. Linear regression
Question 54 (Single choice)
Which generative AI workload creates images from text prompts?
A. Text classification
B. Text-to-image generation
C. Image tagging
D. Object detection
Question 55 (Scenario – Single choice)
You want to prevent users from generating harmful content.
Which control is most appropriate?
A. Feature engineering
B. Content filtering
C. Model retraining
D. Data labeling
Question 56 (Matching)
Match the Azure service to its role:
| Service | Role |
|---|---|
| 1. Azure OpenAI | A. Custom ML pipelines |
| 2. Azure AI Foundry | B. Managed foundation models |
| 3. Azure ML | C. Model catalog & orchestration |
Question 57 (Single choice)
Which technique reduces hallucinations by connecting models to real data?
A. Fine-tuning
B. Grounding
C. Tokenization
D. Sampling
Question 58 (Scenario – Multi-select – Choose TWO)
Which scenarios are best suited for generative AI?
A. Writing product descriptions
B. Fraud detection
C. Chatbots
D. Forecasting demand
Question 59 (Single choice)
Which principle ensures users know AI-generated content is produced by AI?
A. Fairness
B. Transparency
C. Privacy
D. Reliability
Question 60 (Single choice)
Which Azure tool is commonly used to experiment with prompts?
A. Azure AI Vision Studio
B. Azure OpenAI Studio
C. Azure Data Studio
D. Azure ML designer
Practice Exam 1 – Answer Key
(It is recommended that you review the answers after attempting the exam)
SECTION 1: Describe Artificial Intelligence workloads and considerations (Q1–Q10)
Q1
Correct Answer: C
Explanation:
Predicting customer churn requires learning patterns from historical data, which is a core AI capability.
- A & D are rule-based automation
- B is analytics, not AI
Q2
Correct Answers: B, C
Explanation:
AI systems:
- Improve with experience (learning)
- Rely on data (labeled or unlabeled)
They are not deterministic and do not rely purely on static rules.
Q3
Correct Answer: C (Classification)
Explanation:
Approving or rejecting loans is a categorical decision, which makes this a classification problem.
Q4
Correct Matches:
- 1 → B
- 2 → D
- 3 → C
- 4 → A
Explanation:
These are textbook definitions of AI workload types and frequently tested.
Q5
Correct Answer: C
Explanation:
Bias in training data directly impacts fairness and ethical outcomes. This is a major Responsible AI concern.
Q6
Correct Answer: C (Fairness)
Explanation:
Favoring one demographic group indicates bias, violating the fairness principle.
Q7
Correct Answers: A, C
Explanation:
High-impact decisions (medical, financial) require human oversight.
Low-risk automation does not.
Q8
Correct Answer: Transparency
Explanation:
Transparency means users can understand how and why AI systems make decisions.
Q9
Correct Answer: B (Regression)
Explanation:
Sales revenue is a numeric value, which regression predicts.
Q10
Correct Answer: C (Unsupervised learning)
Explanation:
Grouping data without labels is unsupervised learning.
SECTION 2: Fundamental principles of machine learning on Azure (Q11–Q20)
Q11
Correct Answer: B (Azure Machine Learning)
Explanation:
Azure ML is the primary service for building, training, and deploying ML models.
Q12
Correct Answers: A, B
Explanation:
Supervised learning requires labeled data and feature engineering.
Pretrained models and endpoints are optional.
Q13
Correct Answer: B (Regression)
Explanation:
House prices are numeric → regression.
Q14
Correct Answer: B (Features)
Explanation:
Features are input variables used by the model.
Q15
Correct Matches:
- 1 → B
- 2 → C
- 3 → A
Q16
Correct Answers: B, C
Explanation:
Overfitting is reduced by:
- More data
- Regularization
Increasing complexity worsens overfitting.
Q17
Correct Answer: C (Accuracy)
Explanation:
Accuracy is a common metric for classification problems.
Q18
Correct Answer: Generalization
Explanation:
Train/test splits measure how well a model performs on unseen data.
Q19
Correct Answer: B (Azure ML designer)
Explanation:
Azure ML designer is a no-code/low-code visual tool.
Q20
Correct Answer: C (Inference)
Explanation:
Inference is when the model makes predictions using new data.
SECTION 3: Computer Vision workloads on Azure (Q21–Q30)
Q21
Correct Answer: B (Azure AI Vision)
Q22
Correct Answer: C (Object detection)
Explanation:
Detecting products and their locations requires object detection.
Q23
Correct Answers: A, C
Explanation:
OCR and image tagging are vision tasks.
Sentiment and translation are NLP.
Q24
Correct Answer: B (Optical Character Recognition)
Q25
Correct Answer: B (OCR)
Q26
Correct Matches:
- 1 → C
- 2 → A
- 3 → B
Q27
Correct Answer: C
Explanation:
Spoken commands are a speech workload, not vision.
Q28
Correct Answers: A, B
Explanation:
Facial recognition raises privacy and bias concerns.
Q29
Correct Answer: B (Azure AI Vision)
Q30
Correct Answer: Object detection
SECTION 4: NLP workloads on Azure (Q31–Q40)
Q31
Correct Answer: B (Azure AI Language)
Q32
Correct Answer: C (Sentiment analysis)
Q33
Correct Answers: A, B
Q34
Correct Answer: B
Explanation:
Tokenization splits text into words or subwords.
Q35
Correct Answer: C (Named entity recognition)
Q36
Correct Matches:
- 1 → B
- 2 → A
- 3 → C
Q37
Correct Answer: C (Azure AI Speech)
Q38
Correct Answers: A, C
Q39
Correct Answer: Language
Q40
Correct Answer: C (Azure AI Speech)
SECTION 5: Generative AI workloads on Azure (Q41–Q60)
Q41
Correct Answer: B
Explanation:
Generative AI creates new content.
Q42
Correct Answer: C (Large language model)
Q43
Correct Answers: A, B
Q44
Correct Answer: C (Azure OpenAI)
Q45
Correct Answer: C (Azure OpenAI)
Q46
Correct Matches:
- 1 → B
- 2 → C
- 3 → A
Q47
Correct Answer: B
Explanation:
Prompt engineering is crafting effective inputs.
Q48
Correct Answers: A, B
Q49
Correct Answer: B (Grounding)
Q50
Correct Answer: Hallucinations
Q51
Correct Answer: B (Azure AI Foundry)
Q52
Correct Answer: A
Q53
Correct Answers: A, B
Q54
Correct Answer: B
Q55
Correct Answer: B (Content filtering)
Q56
Correct Matches:
- 1 → B
- 2 → C
- 3 → A
Q57
Correct Answer: B (Grounding)
Q58
Correct Answers: A, C
Q59
Correct Answer: B (Transparency)
Q60
Correct Answer: B (Azure OpenAI Studio)
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