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iSQI CT-AI Exam - Topic 9 Question 29 Discussion

Actual exam question for iSQI's CT-AI exam
Question #: 29
Topic #: 9
[All CT-AI Questions]

Which of the following is correct regarding the layers of a deep neural network?

Show Suggested Answer Hide Answer
Suggested Answer: B

A deep neural network (DNN) is a type of artificial neural network that consists of multiple layers between the input and output layers. The ISTQB Certified Tester AI Testing (CT-AI) Syllabus outlines the following characteristics of a DNN:

Structure of a Deep Neural Network:

A DNN comprises at least three types of layers:

Input layer: Receives the input data.

Hidden layers: Perform complex feature extraction and transformations.

Output layer: Produces the final prediction or classification.

Analysis of Answer Choices:

A (Only input and output layers) Incorrect, as a DNN must have at least one hidden layer.

B (At least one internal hidden layer) Correct, as a neural network must have hidden layers to be considered deep.

C (Minimum of five layers required) Incorrect, as there is no strict definition that requires at least five layers.

D (Output layer is not connected to other layers) Incorrect, as the output layer must be connected to the hidden layers.

Thus, Option B is the correct answer, as a deep neural network must have at least one hidden layer.

Certified Tester AI Testing Study Guide Reference:

ISTQB CT-AI Syllabus v1.0, Section 6.1 (Neural Networks and Deep Neural Networks)

ISTQB CT-AI Syllabus v1.0, Section 6.2 (Structure of Deep Neural Networks).


by Marti at Aug 16, 2025, 09:59 AM

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Simona
4 months ago
B is the only option that makes sense here, for sure!
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Vallie
4 months ago
I thought deep networks needed at least five layers? C sounds right.
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Ardella
4 months ago
Wait, D doesn't make sense. How can the output layer not connect?
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Queenie
4 months ago
A is totally wrong, deep networks have more than just input and output.
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Delisa
5 months ago
Definitely B, you need hidden layers for it to be deep!
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Caitlin
5 months ago
Option A seems wrong because I know there has to be at least one hidden layer, but I’m not sure about the specifics of the output layer.
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Loise
5 months ago
I’m a bit confused about option C; I thought "deep" just meant having more than one hidden layer, but five seems like a lot.
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Shaunna
5 months ago
I remember practicing a question that mentioned the importance of hidden layers, so I feel like B is definitely the correct choice here.
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Ezekiel
6 months ago
I think option B sounds right because deep neural networks usually have hidden layers, but I'm not completely sure how many are required.
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Trinidad
6 months ago
I'm a little confused by this question. I know deep neural networks have multiple layers, but I'm not sure about the specifics. I'll have to review my notes and try to remember the key characteristics of the different layers.
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Leoma
6 months ago
Okay, let me see if I can break this down. I know deep neural networks have more than just an input and output layer, so A is definitely wrong. And I'm pretty sure there's no requirement for a minimum of 5 layers, so C is also incorrect. As for D, that doesn't sound right either. I think B is the best answer here.
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Tenesha
6 months ago
Hmm, I'm a bit unsure about this one. I know deep neural networks have multiple layers, but I can't remember the exact details. I'll have to think this through carefully.
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Rolande
6 months ago
This question seems pretty straightforward. I'm pretty confident that the correct answer is B - there is at least one internal hidden layer in a deep neural network.
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Vivienne
7 months ago
I believe option A is incorrect because deep neural networks typically have multiple hidden layers to extract hierarchical features.
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Veronika
8 months ago
C'mon, five layers? That's like saying a deep dish pizza needs at least five layers of cheese. I'll go with B.
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Skye
8 months ago
I agree with Martina, having at least one hidden layer is essential for deep neural networks to learn complex patterns.
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Berry
8 months ago
Option B is correct. A deep neural network must have at least one internal hidden layer.
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Mable
7 months ago
Yes, that's right. The hidden layer helps the network learn complex patterns in the data.
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Jamey
7 months ago
I think option B is correct. A deep neural network must have at least one internal hidden layer.
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Martina
8 months ago
I think the correct answer is B) There is at least one internal hidden layer.
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