- A
TensorFlow
TensorFlow provides Keras and is widely used for production ML.
- B
Hugging Face Transformers
Why wrong: Hugging Face focuses on transformer models, not a general-purpose framework with Keras.
- C
scikit-learn
Why wrong: scikit-learn is for traditional ML algorithms, not deep learning.
- D
PyTorch
Why wrong: PyTorch is a deep learning framework but does not include Keras by default.
Question 845 of 1,000
AI0-001 AI Infrastructure and Technologies Practice Question
This AI0-001 practice question tests your understanding of ai infrastructure and technologies. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which open-source framework is commonly used for building, training, and deploying machine learning models and provides high-level APIs like Keras?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
TensorFlow
TensorFlow is the correct answer because it is the open-source framework that provides high-level APIs like Keras for building, training, and deploying machine learning models. Keras, now integrated as tf.keras, offers a user-friendly interface for rapid prototyping while TensorFlow handles the underlying computation graph, distributed training, and model serving via TensorFlow Serving.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
TensorFlow
Why this is correct
TensorFlow provides Keras and is widely used for production ML.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Hugging Face Transformers
Why it's wrong here
Hugging Face focuses on transformer models, not a general-purpose framework with Keras.
- ✗
scikit-learn
Why it's wrong here
scikit-learn is for traditional ML algorithms, not deep learning.
- ✗
PyTorch
Why it's wrong here
PyTorch is a deep learning framework but does not include Keras by default.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that PyTorch is the only framework with dynamic computation graphs and high-level APIs, but the question specifically asks for the framework that provides Keras, which is exclusive to TensorFlow.
Detailed technical explanation
How to think about this question
Under the hood, TensorFlow uses a static computation graph (eager execution by default since 2.x) that optimizes operations across CPUs, GPUs, and TPUs, while Keras abstracts layers, optimizers, and loss functions into a clean API. A real-world scenario is deploying a trained Keras model to TensorFlow Lite for mobile devices or TensorFlow.js for browsers, leveraging the same model definition without rewriting code. The integration of Keras as tf.keras ensures that custom training loops and distributed strategies are accessible via the same high-level interface.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the AI0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this AI0-001 question test?
AI Infrastructure and Technologies — This question tests AI Infrastructure and Technologies — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: TensorFlow — TensorFlow is the correct answer because it is the open-source framework that provides high-level APIs like Keras for building, training, and deploying machine learning models. Keras, now integrated as tf.keras, offers a user-friendly interface for rapid prototyping while TensorFlow handles the underlying computation graph, distributed training, and model serving via TensorFlow Serving.
What should I do if I get this AI0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Last reviewed: Jul 4, 2026
This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.
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