HOTSPOT
-
Select the answer that correctly completes the sentence.
Show Answer
Correct Answer: features
Explanation: In machine learning, input variables provided to a model are called features; labels are outputs, instances are rows/samples, and functions define transformations.
Question 6
DRAG DROP -
Match the types of computer vision workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
Show Answer
Correct Answer: Identify celebrities in images → Facial recognition
Extract movie title names from movie poster images → Optical character recognition (OCR)
Locate vehicles in images → Object detection
Explanation: Facial recognition matches or identifies people from faces. OCR extracts readable text from images such as posters. Object detection finds and localizes specific objects like vehicles using bounding boxes.
Question 7
You plan to build a conversational AI solution that can be surfaced in Microsoft Teams, Microsoft Cortana, and Amazon Alexa.
Which service should you use?
A. Azure Bot Service
B. Azure Cognitive Search
C. Speech
D. Language service
Show Answer
Correct Answer: A
Explanation: Azure Bot Service is designed to build conversational bots and expose them across multiple channels. It provides built-in connectors for Microsoft Teams and Cortana, and can integrate with voice assistants like Amazon Alexa via supported channels and adapters. The other options provide supporting capabilities (search, speech-to-text, language understanding) but do not by themselves handle multi-channel conversational bot deployment.
Question 7
HOTSPOT -
To complete the sentence, select the appropriate option in the answer area.
Hot Area:
Show Answer
Correct Answer: adding and connecting modules on a visual canvas.
Explanation: Azure Machine Learning designer is a drag-and-drop, no-code/low-code interface where models are built by visually adding and connecting modules on a canvas, rather than using notebooks or AutoML.
Question 8
HOTSPOT -
Select the answer that correctly completes the sentence.
Show Answer
Correct Answer: Named Entity Recognition (NER)
Explanation: NER identifies and extracts structured entities such as dates, quantities, and locations from unstructured text.
Question 8
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Hot Area:
Show Answer
Correct Answer: Yes
Yes
No
Explanation: Chatbots can handle interactive tasks like reservations and answering FAQs through web or app channels. Automating responses to customer reviews on external websites typically lacks a conversational back channel and is not a standard chatbot interaction.
Question 9
You are developing a chatbot solution in Azure.
Which service should you use to determine a user’s intent?
A. Translator
B. Language
C. Azure Cognitive Search
D. Speech
Show Answer
Correct Answer: B
Explanation: To determine a user’s intent in an Azure-based chatbot, you use the Azure Language service (formerly LUIS – Language Understanding). This service analyzes natural language text to identify user intents and extract relevant entities. The other options handle translation, search, or speech processing, not intent recognition.
Question 11
Predicting agricultural yields based on weather conditions and soil quality measurements is an example of which type of machine learning model?
A. classification
B. regression
C. clustering
Show Answer
Correct Answer: B
Explanation: Predicting agricultural yield involves estimating a continuous numerical value (e.g., tons per hectare) from input variables like weather and soil measurements. Models that predict continuous outcomes are regression models, not classification (discrete labels) or clustering (unsupervised grouping).
Question 12
DRAG DROP
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Match the machine learning models to the appropriate descriptions.
To answer, drag the appropriate model from the column on the left to its description on the right. Each model may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Show Answer
Correct Answer: Regression → A supervised machine learning model used to predict numeric values.
Classification → A supervised machine learning model used to predict categories.
Clustering → An unsupervised machine learning model used to group similar entities based on features.
Explanation: Regression predicts continuous numerical outputs, classification predicts discrete class labels using labeled data, and clustering groups unlabeled data based on similarity.
Question 13
HOTSPOT
-
Select the answer that correctly completes the sentence.
Show Answer
Correct Answer: an anomaly detection workload.
Explanation: It involves identifying unusual or abnormal patterns in temperature data from a machine, which is the goal of anomaly detection.
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