You need to create a model that labels a collection of your personal digital photographs.
Which Azure Cognitive Services service should you use?
A. Form Recognizer
B. Custom Vision
C. Language
D. Computer Vision
Show Answer
Correct Answer: B
Explanation: The requirement is to create a model that labels a collection of your personal digital photographs. Custom Vision is designed for this scenario: it allows you to upload your own images, apply your own labels, and train a custom image classification or object detection model. Computer Vision provides prebuilt tagging without custom training, while Form Recognizer and Language are not applicable to images.
Question 86
You need to implement a pre-built solution that will identify well-known brands in digital photographs.
Which Azure Cognitive Services service should you use?
A. Custom Vision
B. Form Recognizer
C. Face
D. Computer Vision
Show Answer
Correct Answer: D
Explanation: The requirement is a **pre-built** solution to identify **well-known brands** in images. Azure **Computer Vision** includes built-in brand detection as part of its image analysis capabilities. Custom Vision requires training, Form Recognizer is for documents, and Face is for facial detection and analysis, not brands.
Question 87
Natural language processing can be used to __________.
Select the answer that correctly completes the sentence.
A. Analyze video content
B. Generate speech
C. Classify email messages as work-related or personal.
D. Classify images
Show Answer
Correct Answer: C
Explanation: Natural language processing focuses on understanding and analyzing text. Classifying email messages as work-related or personal is a classic NLP text classification task, whereas analyzing video or images involves computer vision, and generating speech is primarily speech synthesis rather than core NLP.
Question 88
You need to convert handwritten notes into digital text.
Which type of computer vision should you use?
A. facial detection
B. optical character recognition (OCR)
C. image classification
D. object detection
Show Answer
Correct Answer: B
Explanation: Converting handwritten notes into digital text requires recognizing and transcribing characters from an image, which is exactly the purpose of optical character recognition (OCR). The other options focus on identifying faces, classifying entire images, or locating objects, not extracting text.
Question 89
Your company manufactures widgets.
You have 1,000 digital photos of the widgets.
You need to identify the location of the widgets within the photos.
What should you use?
A. Computer Vision Spatial Analysis
B. Custom Vision object detection
C. Computer Vision Image Analysis
D. Custom Vision classification
Show Answer
Correct Answer: B
Explanation: The requirement is to identify the location of widgets within images, which means detecting and bounding objects. Custom Vision object detection is designed to train a model that finds and locates specific objects in images. Classification does not provide location, and generic Computer Vision Image Analysis is not tailored for custom widget detection.
Question 90
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.
Show Answer
Correct Answer: Yes
No
No
Explanation: • A webchat bot interacting with website visitors is a conversational AI scenario, which uses natural language processing.
• Automatically generating captions for pre-recorded videos is primarily a speech-to-text (speech recognition) workload rather than an NLP workload in this context.
• A smart home device answering spoken questions is categorized as conversational AI/speech rather than pure natural language processing here.
Question 91
HOTSPOT -
Select the answer that correctly completes the sentence.
Show Answer
Correct Answer: clustering.
Explanation: RFM uses recency, frequency, and monetary values to group customers into similar segments without predefined labels, which is an unsupervised clustering task.
Question 92
You have a solution that analyzes social media posts to extract the mentions of city names and the city names discussed most frequently.
Which type of natural language processing (NLP) workload does the solution use?
A. speech recognition
B. sentiment analysis
C. key phrase extraction
D. entity recognition
Show Answer
Correct Answer: D
Explanation: The solution extracts mentions of city names from text and identifies which cities appear most frequently. Identifying and classifying city names (locations) in unstructured text is the task of entity recognition (named entity recognition).
Question 93
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.
Show Answer
Correct Answer: Yes
No
No
Explanation: A bot answering user queries relies on understanding natural language. Displaying images for a search term is primarily search/computer vision, not NLP. A password reset web form is a simple input workflow without natural language understanding.
Question 94
HOTSPOT -
Select the answer that correctly completes the sentence.
Show Answer
Correct Answer: classification
Explanation: The system predicts a discrete outcome (loan repaid: yes or no), which is a binary classification problem rather than regression or clustering.
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