Which of the following is a common real-world application of OCR technology?

Tracking the movement of a ball in a sports video

Digitizing printed documents for searchable archives

Generating synthetic images for training datasets

Detecting pedestrians in autonomous driving systems

A team is training an object detection model for autonomous vehicles. They have a large dataset of daytime images but very few nighttime images. The model performs well in the daytime but poorly at night. Which data augmentation technique is most likely to improve nighttime performance?

Use random erasing to remove parts of the daytime images

Apply random rotations and flips to the daytime images

Apply brightness and contrast adjustments to simulate nighttime lighting conditions

Add Gaussian noise to the daytime images

A sports analytics company tracks a single hockey puck during a game. The puck moves quickly and is occasionally occluded by players. The system uses a high-frame-rate camera and must maintain a continuous trajectory estimate even when the puck is temporarily hidden. Which tracking approach is most suitable?

Kalman filter with a constant-velocity motion model and detection updates when the puck is visible

Template matching the puck in every frame

Optical flow tracking of all pixels in the scene

Mean shift tracking with a color histogram of the puck

What is the primary goal of object detection in computer vision?

To segment an image into regions of interest

To convert text in images into machine-readable text

To track objects across video frames

To identify and locate objects within an image

CompTIADataX

Domain 5Objective 3

Computer Vision DY0-001 Practice Questions (Page 5)

Part of the Specialized applications of data science domain, which accounts for 13% of the DY0-001 exam. CompTIA does not publish an official question count, but from its 165-minute exam (~65–110 total, ~8–14 in this domain), expect 2–4 from this objective — we provide 28 practice questions to prepare you well beyond it. (estimate)

28questions here

6free pages

8concepts

13%of the exam

Questions 21–25

21foundation · easy
Which of the following is a common real-world application of OCR technology?
Select an answer first
22application · medium
A team is training an object detection model for autonomous vehicles. They have a large dataset of daytime images but very few nighttime images. The model performs well in the daytime but poorly at night. Which data augmentation technique is most likely to improve nighttime performance?
Select an answer first
23foundation · easy
Which tracking algorithm uses a recursive prediction-correction approach to estimate the state of a moving object?
Select an answer first
24application · medium
A sports analytics company tracks a single hockey puck during a game. The puck moves quickly and is occasionally occluded by players. The system uses a high-frame-rate camera and must maintain a continuous trajectory estimate even when the puck is temporarily hidden. Which tracking approach is most suitable?
Select an answer first
25foundation · easy
What is the primary goal of object detection in computer vision?
Select an answer first

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Computer Vision DY0-001 Practice Questions (Page 5)

Questions 21–25

Which of the following is a common real-world application of OCR technology?

A team is training an object detection model for autonomous vehicles. They have a large dataset of daytime images but very few nighttime images. The model performs well in the daytime but poorly at night. Which data augmentation technique is most likely to improve nighttime performance?

Which tracking algorithm uses a recursive prediction-correction approach to estimate the state of a moving object?

What is the primary goal of object detection in computer vision?

Keep studying — Specialized applications of data science