DRAG DROP -
Match the types of natural languages processing 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: Extracts persons, locations, and organizations from the text → Entity recognition
Evaluates text along a positive–negative scale → Sentiment analysis
Converts text to a different language → Translation
Explanation: Entity recognition identifies named entities like people, places, and organizations. Sentiment analysis measures emotional polarity in text. Translation changes text from one language to another.
Question 76
Predicting how many vehicles will travel across a bridge on a give day is an example of _______.
Select the answer that correctly completes the sentence.
A. regression
B. translation
C. classification
D. clustering
Show Answer
Correct Answer: A
Explanation: The task is to predict a numeric quantity (the number of vehicles crossing a bridge on a given day). Predicting continuous or count-based numerical values is a regression problem, not classification, clustering, or translation.
Question 77
An app that analyzes social media posts to identify their tone is an example of which type of natural language processing (NLP) workload?
A. sentiment analysis
B. speech recognition
C. key phrase extraction
D. entity recognition
Show Answer
Correct Answer: A
Explanation: Identifying the tone or emotional polarity (positive, negative, neutral) of text is the core task of sentiment analysis. The other options involve speech-to-text, extracting key terms, or identifying named entities, none of which focus on tone.
Question 78
DRAG DROP
-
Match the Azure Cognitive Services to the appropriate AI workloads.
To answer, drag the appropriate service from the column on the left to its workload on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Show Answer
Correct Answer: Identify objects in an image → Custom Vision
Automatically import data from an invoice to a database → Form Recognizer
Identify people in an image → Face
Explanation: Custom Vision is used to detect and classify objects in images. Form Recognizer extracts structured data from documents such as invoices. The Face service is designed to detect and identify people in images.
Question 79
DRAG DROP
-
Match the principles of responsible AI to the appropriate descriptions.
To answer, drag the appropriate principle from the column on the left to its description on the right. Each principle may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Show Answer
Correct Answer: Reliability and safety
Privacy and security
Explanation: Consistent operation under unexpected conditions relates to system reliability and safety. Protecting personal and business information relates to privacy and security.
Question 80
Which AI service can you use to interpret the meaning of a user input such as `Call me back later?`
A. Translator
B. Text Analytics
C. Speech
D. Language Understanding (LUIS)
Show Answer
Correct Answer: D
Explanation: Interpreting the meaning or intent of a natural language user input (e.g., understanding that "Call me back later" is a request with intent and entities like time) is the purpose of Language Understanding (LUIS), now known as Conversational Language Understanding under Azure AI Language. The other options handle translation, sentiment/entity extraction, or speech processing, not intent understanding.
Question 81
Which Computer Vision feature can you use to generate automatic captions for digital photographs?
A. Recognize text.
B. Identify the areas of interest.
C. Detect objects.
D. Describe the images.
Show Answer
Correct Answer: D
Explanation: Automatic caption generation requires analyzing the overall content and context of an image and expressing it in natural language. This capability corresponds to describing the images, not just detecting objects, recognizing text, or identifying areas of interest.
Question 82
Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?
A. Custom Vision
B. Face
C. Form Recognizer
D. Language
Show Answer
Correct Answer: C
Explanation: Azure Form Recognizer (now called Azure AI Document Intelligence) is designed to automatically extract text, key/value pairs, and table data from scanned documents and forms. The other options focus on images (Custom Vision), facial analysis (Face), or text analytics (Language), not structured document extraction.
Question 83
You are processing photos of runners in a race.
You need to read the numbers on the runners' shirts to identity the runners in the photos.
Which type of computer vision should you use?
A. facial recognition
B. optical character recognition (OCR)
C. image classification
D. object detection
Show Answer
Correct Answer: B
Explanation: Reading numbers printed on runners' shirts involves extracting text from images, which is the task of optical character recognition (OCR). Facial recognition identifies faces, image classification labels whole images, and object detection locates objects but does not read text.
Question 84
You have a dataset.
You need to build an Azure Machine Learning classification model that will identify defective products.
What should you do first?
A. Load the dataset.
B. Create a clustering model.
C. Split the data into training and testing datasets.
D. Create a classification model.
Show Answer
Correct Answer: A
Explanation: Before you can train, split, or create any machine learning model in Azure Machine Learning, the data must be available in the workspace. Loading (uploading and registering) the dataset is the prerequisite step; without the dataset, you cannot perform splitting, preprocessing, or model creation.
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