Microsoft Azure AI Fundamentals Certification Exam AI-900 Practice Test 2
Q. What feature involves extracting key insights from both structured and unstructured data sources?
OCRImage classification
Object detection
Knowledge mining
Q. Which machine learning approach is suitable for discerning whether a social media post expresses positive or negative sentiment?
ClassificationClustering
Regression
Q. Match the appropriate Azure AI vision service to the below scenario.
Statement: Confirm that a driver is looking at the road whilst driving a vehicle.
Face detectionImage classification
Object detection
Optical character recognition
Q. Match the appropriate Azure AI vision service to the below scenario.
Statement: Identify dogs breed from a picture.
Face detectionObject detection
Image classification
Optical character recognition
Q. Match the appropriate Azure AI vision service to the below scenario.
Statement: Find pedestrians on a traffic light camera's video stream.
Object detectionFace detection
Image classification
Optical character recognition
Q. What is a prominent characteristic of generative AI models?
The generation of new original content based on natural language inputThe translation of text from one language to another
Its use in tasks involving spatial analysis
The conducting of regression analysis
Q. Which scenario exemplifies a common application of Generative AI?
A system that classifies emails as spam or not spamA model that clusters customers into different segments based on their behavior
A tool that detects anomalies in network traffic
A chatbot that can generate creative content based on the input it receives from users
Q. What is a machine learning method that predicts or determines the category, type, or class of a data item?
FairnessObject detection
Classification
Q. Which model can be utilized to forecast the sale price of auctioned items?
ClassificationRegression
Clustering
Q. How can you assess the performance of a classification model?
Mean absolute error (MAE)True positive rate
Coefficient of determination (R2)
Root mean squared error (RMSE)
Q. Which component is primarily draggable onto a canvas within Azure Machine Learning designer?
DatasetCompute
Module
Pipeline
Q. To complete the sentence, choose the appropriate option in the answer area. ____________________ is the calculated probability of a correct image classification.
AccuracyRoot Mean Square Error
Confidence
Q. To complete the sentence, choose the appropriate option in the answer area. Is ensuring that an AI system does not provide a prediction when important fields contain unusual or missing values a principle for __________ responsible AI?
InclusivenessPrivacy and security
Transparency
Reliability and safety
Q. To complete the sentence, choose the appropriate option in the answer area. Ensuring that the numeric variables in training data are on a similar scale is an example of what?
Feature engineeringData ingestion
Feature selection
Model training
Q. To complete the sentence, choose the appropriate option in the answer area. Is assigning classes to images before training a classification model an example of what?
EvaluationFeature engineering
Labeling
Hyperparameter tuning
Q. You have an Azure Machine Learning model that predicts product quality. The model has a training dataset that contains 50,000 records. A sample of the data is shown in the following table. For each of the following statements select Yes if the statement is true. Otherwise, select No.
Statements:
a. Mass (kg) is a feature.
b. Quality test is label.
c. Temperature (C) is a label.
Yes, No, YesNo, No, Yes
Yes, Yes, No
No, Yes, No
Q. Which two actions are performed during the data ingestion and data preparation stage of an Azure Machine Learning process?
Calculate the accuracy of the model and combine multiple datasetsCombine multiple datasets and remove records that have missing values
Score test data by using the model and calculate the accuracy of the model
Remove records that have missing values and score test data by using the model
Q. What Azure Machine Learning type would you use to forecast the animal population of an area?
ClusteringRegression
Classification
Q. Which two programming languages are compatible for coding custom solutions within Azure Machine Learning designer?
Python and C#Python and R
R and C#
R and Scala
Q. For each of the following statements, choose Yes if the statement is true. Otherwise, choose No.
Statements:
a. For a regression model, labels must be numeric.
b. For a clustering model, labels must be used.
c. For a classification model, labels must be numeric.
Yes, No, YesNo, Yes, Yes
Yes, No, No
No, No, No
Q. What type of AI workload should your company utilize to develop a recycling machine that automatically identifies bottles of the correct shape and rejects all other items?
Anomaly detectionComputer vision
Conversational AI
Natural language processing
Q. For each of the following statements, choose Yes if the statement is true. Otherwise, choose No.
Statements:
a. When creating an object detection model in the Custom Vision service, you must choose a classification type of either Multilabel or Multiclass.
b. You can create an object detection model in the Custom Vision service to find the location of content within an image.
c. When creating an object detection model in the Custom Vision service, you can select from a set of predefined domains.
Yes, No, YesNo, Yes, Yes
Yes, No, No
No, No, Yes
Q. What are two scenarios where you can apply the Form Recognizer service?
Extract the invoice number from an invoice and Translate a form from French to EnglishExtract the invoice number from an invoice and Identify the retailer from a receipt
Identify the retailer from a receipt and Translate a form from French to English
Translate a form from French to English and Find image of product in a catalog
Q. To complete the sentence, choose the appropriate option in the answer area. Counting the number of animals in an area based on a video feed is an example of_____________?
ForecastingConversational AI
Computer vision
Anomaly detection
Q. To the following statements, select "Yes" if the statement is true and "No" if it's false for the given scenario: You have a database containing employee information along with their respective photos, and you are assigning tags to new employee photos.
Statements:
a. Face service can be used to perform facial recognition for employees.
b. The face service will be more accurate if you provide more sample photos of each employee from different angles.
c. If an employee is wearing sunglasses, the face service will always fail to recognize the employee.
Yes, No, YesNo, Yes, Yes
Yes, Yes, No
No, No, No