A traffic monitoring system tracks vehicles on a highway using a fixed camera. The vehicles move at relatively constant speeds, and the system must handle brief occlusions when vehicles pass under bridges. Which tracking algorithm is most appropriate?

Kalman filter with a constant-velocity model

Mean shift tracking with a color histogram

Optical flow tracking of the entire scene

Template matching in each frame

Which OCR algorithm is known for its ability to recognize handwritten text by segmenting characters and using a neural network to classify them?

Convolutional Neural Network (CNN) based OCR

A robotics company is building a system for a warehouse robot to locate and pick boxes from shelves. The robot has a GPU and needs to detect boxes in real time. The boxes are of various sizes and colors, and the shelves are cluttered. Which object detection approach is most suitable?

Use a color-based segmentation approach to find boxes

Train a Faster R-CNN model from scratch

Fine-tune a pretrained YOLO model on labeled box images

Use a sliding-window classifier with a deep CNN

Which of the following is a common application of object tracking?

Detecting objects in a single image

Recognizing handwritten digits in an image

Enhancing the resolution of an image

Monitoring the movement of players in a sports video

CompTIADataX

Domain 5Objective 3

Computer Vision DY0-001 Practice Questions (Page 4)

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 16–20

16foundation · easy
Which object detection algorithm is a two-stage detector that first proposes regions of interest and then classifies them?
Select an answer first
17application · medium
A traffic monitoring system tracks vehicles on a highway using a fixed camera. The vehicles move at relatively constant speeds, and the system must handle brief occlusions when vehicles pass under bridges. Which tracking algorithm is most appropriate?
Select an answer first
18foundation · easy
Which OCR algorithm is known for its ability to recognize handwritten text by segmenting characters and using a neural network to classify them?
Select an answer first
19application · medium
A robotics company is building a system for a warehouse robot to locate and pick boxes from shelves. The robot has a GPU and needs to detect boxes in real time. The boxes are of various sizes and colors, and the shelves are cluttered. Which object detection approach is most suitable?
Select an answer first
20foundation · easy
Which of the following is a common application of object tracking?
Select an answer first

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