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WorksheetsAI 900
Total questions: 60
Worksheet time: 2hrs 0mins
privacy and security
reliability and safety
transparency
inclusiveness
Knowledge mining
Computer Vision
Conversational AI
Conversational AI
Computer Vision
Natural Language Processing
Anomaly detection
Computer Vision
Natural Language Processing
You are designing an AI system that empowers everyone, including people who have hearing, visual, and other impairments.
This is an example of which Microsoft guiding principle for responsible AI?
Fairness
Inclusiveness
Reliability and safety
Accountability
Inclusiveness
Accountability
Fairness
Fairness
Accountability
Inclusiveness
Reliability and safety
Accountability
Privacy and Security
inclusiveness
accountability
reliability and safety
fairness
You are building an AI system.
Which task should you include to ensure that the service meets the Microsoft transparency principle for responsible AI?
Ensure that all visuals have an associated text that can be read by a screen reader.
Enable autoscaling to ensure that a service scales based on demand.
Provide documentation to help developers debug code.
Ensure that a training dataset is representative of the population
Computer vision
Natural language processing
Anomaly detection
Machine Learning(Regression)
Natural language processing
Anomaly detection
Machine Learning(Regression)
Computer vision
Natural language processing
Learning(Regression)
Computer vision
Anomaly detection
Machine
Key phrase extraction
Language detection
Named Entity Recognition(NER)
Sentiment Analysis
What are three Microsoft guiding principles for responsible AI? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
reliability and safety
decisiveness
inclusiveness
fairness
opinionatedness
image classification
object detection
optical character recognizer (OCR)
semantic segmentation
Feature engineering
Feature selection
Model evaluation
Model training
You run a charity event that involves posting photos of people wearing sunglasses on Twitter.
You need to ensure that you only retweet photos that meet the following requirements:
✑ Include one or more faces.
✑ Contain at least one person wearing sunglasses.
What should you use to analyze the images?
the Verify operation in the Face service
the Detect operation in the Face service
the Describe Image operation in the Computer Vision service
the Analyze Image operation in the Computer Vision service
When you design an AI system to assess whether loans should be approved, the factors used to make the decision should be explainable.
This is an example of which Microsoft guiding principle for responsible AI?
transparency
inclusiveness
fairness
privacy and security
Yes
No
No
Yes
Yes
No
Yes
Yes
Yes
No
No
Yes
Fairness
Transparency
Privacy and security
Transparency
Privacy and security
Reliability and safety
Reliability and safety
Privacy and security
Transparency
Fairness
Privacy and security
Transparency
data preparation
model training
model evaluation
data encryption
model retraining
model evaluation
data preparation
model retraining
model evaluation
You are building an AI-based app.
You need to ensure that the app uses the principles for responsible AI.
Which two principles should you follow? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Implement an Agile software development methodology
Implement a process of AI model validation as part of the software review process
Establish a risk governance committee that includes members of the legal team, members of the risk management team, and a privacy officer
Prevent the disclosure of the use of AI-based algorithms for automated decision making
accountability
fairness
inclusiveness
transparency
Natural language processing
Knowledge mining
Computer vision
Natural language processing
Anomaly detection
Computer vision
Knowledge mining
Computer vision
Natural language processing
Model evaluation
Feature engineering
Feature selection
Model training
Feature engineering
Feature selection
Feature engineering
Feature selection
Model deployment
dependant variables
features
identifiers
labels
classification
regression
clustering
Which type of machine learning should you use to predict the number of gift cards that will be sold next month?
classification
regression
clustering
You have a dataset that contains information about taxi journeys that occurred during a given period.
You need to train a model to predict the fare of a taxi journey.
What should you use as a feature?
the number of taxi journeys in the dataset
the trip distance of individual taxi journeys
the fare of individual taxi journeys
the trip ID of individual taxi journeys
You need to predict the sea level in meters for the next 10 years.
Which type of machine learning should you use?
classification
regression
clustering
Yes
No
Yes
No
Yes
Yes
Yes
No
No
No
Yes
No
classification
regression
clustering
Yes
No
No
Yes
Yes
Yes
NO
No
Yes
No
Yes
No
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
Form Recognizer
Text Analytics
Language Understanding
Custom Vision
Custom Vision
Form Recognizer
Ink Recognizer
Text Analytics
You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to access the web service? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
the model name
the training endpoint
the authentication key
the REST endpoint
a local web service
Azure Container Instances
Azure Kubernetes Service(AKS)
Azure Machine Learning compute
classification
clustering
regression
Yes
Yes
No
No
No
Yes
Yes Yes Yes
A label
A feature
A feature
A label
adding and connecting modules on a visual canvas.
automatically performing common data preparation tasks.
automatically selecting an algorithm to build the most accurate model.
using a code-first notebook experience.
Yes
No
No
Yes
No
Yes
Yes
Yes
Yes
No
No
No
A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types.
You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person.
This is an example of which type of machine learning?
clustering
regression
classification
When training a model, why should you randomly split the rows into separate subsets?
to train the model twice to attain better accuracy
to train multiple models simultaneously to attain better performance
to test the model by using data that was not used to train the mode
You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning.
What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Use a graphical user interface (GUI) to run automated machine learning experiments.
Create a compute instance to use as a workstation.
Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.
Create a dataset from a comma-separated value (CSV) file.
Education Level
Last Name
Age
Income Range
First Name
You are building a tool that will process images from retail stores and identify the products of competitors.
The solution will use a custom model.
Which Azure Cognitive Services service should you use?
Custom Vision
Form Recognizer
Face
Computer Vision
Yes
Yes
Yes
Yes
Yes
No
No
Yes
No
What are two metrics that you can use to evaluate a regression model? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
coefficient of determination (R2)
F1 score
root mean squared error (RMSE)
area under curve (AUC
balanced accuracy
classification
clustering
regression
Which type of machine learning should you use to identify groups of people who have similar purchasing habits?
A. classification
B. regression
C. clustering
classification
Clustering
Regression
Which metric can you use to evaluate a classification model?
A. true positive rate
B. mean absolute error (MAE)
C. coefficient of determination (R2)
D. root mean squared error (RMSE)
Which two components can you drag onto a canvas in Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
A. dataset
B. compute
C. pipeline
D. module
You need to create a training dataset and validation dataset from an existing dataset.
Which module in the Azure Machine Learning designer should you use?
A. Select Columns in Dataset
B. Add Rows
C. Split Data
D. Join Data
Classification
Clustering
Regression
Regression
Clustering
Classification
Regression
Classification
Clustering
Accuracy
Confidence
Root Mean Square Error
Sentiment
an inclusiveness
a privacy and security
a reliability and safety
a transparency
data ingestion.
feature engineering.
.
feature selection.
model training
evaluation.
feature engineering
hyperparameter tuning.
labeling.
Yes
Yes
No
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
No
No
Yes
No
Yes
No
Which two actions are performed during the data ingestion and data preparation stage of an Azure Machine Learning process? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Calculate the accuracy of the model.
B. Score test data by using the model.
C. Combine multiple datasets.
D. Use the model for real-time predictions.
E. Remove records that have missing values.
You need to predict the animal population of an area.
Which Azure Machine Learning type should you use?
A. regression
B. clustering
C. classification
Which two languages can you use to write custom code for Azure Machine Learning designer? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Python
R
C#
Scala
