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RedHat Red Hat Certified Specialist in Containers Sample Questions:

1. Visualizing the feature map of the first layer of a convolutional neural network can show clear target features.

A) False
B) True

2. In image preprocessing, the function of () is to remove noise, etc.

3. How to label object detection tasks in data management?

A) Use a circle to frame the target
B) Use an ellipse to frame the target
C) Enter a category label for the image
D) Use a rectangle to frame the target

4. Which option backs up a container state rather than an image?

A) podman save
B) podman export
C) podman commit
D) podman backup

5. Which of the following descriptions of the bimodal adaptive threshold segmentation method are correct? (Multiple choice)

A) Histogram bimodal method is an easy-to-understand adaptive threshold algorithm
B) The bimodal method divides the image into foreground and background according to the grayscale characteristics of the image. The larger the inter-class variance between the foreground and the background, the greater the difference between the two parts that make up the image.
C) If the grayscale histogram of the image is very flat or has multiple peaks, the bimodal method cannot be used to obtain a suitable threshold.
D) If the image grayscale histogram is obviously bimodal, the grayscale value corresponding to the valley between the two peaks is selected as the threshold for image segmentation.

Solutions: