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| Certification Vendor: | CertNexus |
|---|---|
| Exam Name: | CertNexus Certified Artificial Intelligence Practitioner (CAIP) |
| Exam Number: | AIP-210 |
| Exam Duration: | 120 minutes |
| Exam Price: | $367.50 USD |
| Related Certifications: | Certified Ethical Emerging Technologist (CEET) |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Passing Score: | 60% (or 59% depending on exam form; forms are statistically equated) |
| Exam Format: | Multiple Choice, Multiple Response |
| Real Exam Qty: | 80 scored + 10 trial (90 total) |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | In person at Pearson VUE test centers or online with Pearson OnVUE online proctoring |
| Pre Condition: | No mandatory prerequisites. Recommended: foundational knowledge of AI/ML concepts and programming experience (especially Python). |
| Official Syllabus URL: | https://certnexus.com/wp-content/uploads/2025/03/Certified-Artificial-Intelligence-Practitioner-blueprint-v-1.10_final.pdf |
| Section | Weight | Objectives |
|---|---|---|
| Training and Tuning ML Systems and Models | 24% | - Optimize the algorithm (e.g., structure, run time, tuning hyperparameters) - Address business risks, ethical concerns, and related concepts in training and tuning - Evaluate the model - Design machine and deep learning models
|
| Engineering Features for Machine Learning | 20% | - Explain data collection/transformation process in ML workflow
- Address business risks, ethical concerns, and related concepts in data exploration and feature engineering - Work with textual, numerical, audio, or video data formats - Transform numerical and categorical data |
| Operationalizing ML Models | 30% | - Maintain the model postproduction - Deploy a model - Address business risks, ethical concerns, and related concepts in operationalizing the model - Secure a pipeline (includes maintenance) |
| Understanding the Artificial Intelligence Problem | 26% | - Research Learning Systems
- Describe how artificial intelligence and machine learning are used to solve business problems (including commercial, government, public interest, and research) - Analyze the use cases of ML algorithms to rank them by their success probability - Analyze machine learning system use cases - Communicate with stakeholders |
The CertNexus Certified Artificial Intelligence Practitioner (CAIP) exam requires a score of 60% (or 59% depending on exam form; forms are statistically equated) to pass, and the official registration fee is $367.50 USD. Knowing both numbers before you register keeps your preparation budget realistic.
The CertNexus Certified Artificial Intelligence Practitioner (CAIP) practice questions are organized around the official exam objectives. Key topics include:
A systematic pass through these topics covers the syllabus end to end.
No mandatory prerequisites. Recommended: foundational knowledge of AI/ML concepts and programming experience (especially Python).
You can confirm the current eligibility requirements on the official AIP-210 exam page before you register.
Our experts review the question bank every day, and whenever a new version is released, our system sends it to your email automatically — no request needed. If an update ever seems to go missing, check your junk or spam folder first, since automated messages occasionally land there; contact us if it truly never arrived.
The CertNexus Certified Artificial Intelligence Practitioner (CAIP) exam contains 80 scored + 10 trial (90 total) questions, and you will have 120 minutes minutes to complete them. Practicing under these exact constraints makes the real exam feel like one more rehearsal.
Yes. If anything about the updated material or your preparation is unclear, you can contact our experts directly after purchase. They will work through your question and offer professional advice on how to approach the material, so the product comes with guidance, not just files.
This package includes 95 practice questions for the CertNexus Certified Artificial Intelligence Practitioner (CAIP) exam. Every answer is verified by an experienced team of experts, so you can trust what you study.
Which of the following is a privacy-focused law that an AI practitioner should adhere to while designing and adapting an AI system that utilizes personal data?
Correct Answer: C 🗳️
Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).
Which of the following can benefit from deploying a deep learning model as an embedded model on edge devices?
Correct Answer: D 🗳️
Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).
Workflow design patterns for the machine learning pipelines:
Correct Answer: A 🗳️
Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).
Normalization is the transformation of features:
Correct Answer: A 🗳️
Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).
Below are three tables: Employees, Departments, and Directors.
Employee_Table
Department_Table
Director_Table
ID
Firstname
Lastname
Age
Salary
DeptJD
4566
Joey
Morin
62
$ 122,000
1
1230
Sam
Clarck
43
$ 95,670
2
9077
Lola
Russell
54
$ 165,700
3
1346
Lily
Cotton
46
$ 156,000
4
2088
Beckett
Good
52
$ 165,000
5
Which SQL query provides the Directors' Firstname, Lastname, the name of their departments, and the average employee's salary?
Correct Answer: B 🗳️
Explanation: Only visible for iPassleader members. You can sign-up / login (it's free).
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