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IBM AI Engineering Professional Certificate

IBM AI Engineering Practice Test

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Today's 10 IBM AI Engineering questions

Use this IBM AI Engineering practice test to review IBM AI Engineering Professional Certificate. Questions rotate daily and each explanation links to the source used to validate the answer.

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150 verified questions are in the live bank. Free daily questions are selected from a rotating sample set. Unlock Pro to access the full question bank.

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Question 1 of 10
Objective IBM-AIE-07 Projects and Permissions

A new user is unable to run prompts in Prompt Lab. According to IBM documentation, what should the team investigate first to ensure the user has the necessary permissions?

Concept tested:
Source:Prompt Lab
Question 2 of 10
Objective IBM-AIE-05 Retrieval and Search

A RAG assistant must retrieve relevant passages from approved documents before generating an answer. Which retrieval component should the engineer create?

Concept tested:
Question 3 of 10
Objective IBM-AIE-02 Prompt Engineering and Evaluation

An AI engineer is working with prompt templates. Which action should the engineer take to ensure the prompt template is properly evaluated?

Concept tested:
Question 4 of 10
Objective IBM-AIE-05 Vector Index and RAG Details

A RAG system must chunk long documents while preserving paragraph-level context for retrieval. Which chunking approach should the engineer choose?

Concept tested:
Question 5 of 10
Objective IBM-AIE-03 Apache Spark & Big Data for AI

An AI engineer is working with Big Data. Which action should the engineer take to optimize the data processing pipeline?

Concept tested:
Question 6 of 10
Objective IBM-AIE-06 Governance and Responsible AI

A governance review asks whether business users can understand why an AI system produced an output before the system is approved for use. Which responsible AI concern is being reviewed?

Concept tested:
Question 7 of 10
Objective IBM-AIE-04 Deployment and MLOps

A reusable prompt template references a deployed model asset. Before the template itself can be used in a production workflow, what dependency must the engineer verify in the target space?

Concept tested:
Question 8 of 10
Objective IBM-AIE-03 Machine Learning & Deep Learning Frameworks

After training a scikit-learn model, an engineer needs to save the model object to the Watson Machine Learning repository with metadata and a compatible software specification. What should the engineer call?

Concept tested:
Question 9 of 10
Objective IBM-AIE-01 Foundation Models

A Tuning Studio job should adapt a foundation model by learning virtual prompt tokens rather than changing all model weights. Which action describes this prompt-tuning approach?

Concept tested:
Question 10 of 10
Objective IBM-AIE-03 AutoAI and Model Building

An AI engineer is working with Model Building. Which tool offers the fastest way to generate a model?

Concept tested:
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Official exam resources

Use these official IBM resources alongside the daily practice set. They cover the provider's own exam page, study guide, or prep material.

Certificate IBM AI Engineering Professional Certificate IBM AI IBM watsonx documentation

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The free daily IBM AI Engineering set includes crawlable question text, answer choices, correct answer labels, objective mapping, and source links. Only the first SEO card includes answer explanations and any extra learning features. Pro-only bank questions stay locked; this section mirrors only the 10 free daily questions already shown on this page.

Question 1 A new user is unable to run prompts in Prompt Lab. According to IBM documentation, what should the team investigate first to ensure the user has the necessary permissions?

Answer choices

  1. A. Whether the user has renamed the project asset
  2. B. Whether the user has the Admin or Editor role in the project
  3. C. Whether the user turned off browser cookies
  4. D. Whether the user exported the deployment space

Correct answer

Whether the user has the Admin or Editor role in the project

Prompt Lab access depends on the user having sufficient project permissions, such as Admin or Editor. Renaming assets, browser cookies, and deployment-space exports do not grant Prompt Lab edit or run access.

Wrong-answer review

  • A. Whether the user has renamed the project asset: Renaming the project asset does not grant the user Prompt Lab permissions.
  • C. Whether the user turned off browser cookies: Browser cookies may affect sessions, but they do not define project permissions.
  • D. Whether the user exported the deployment space: Exporting a deployment space is unrelated to the user's project role in Prompt Lab.

Extra learning features

Interview question

Q: Let's say a new data scientist joins your team and is trying to run a prompt in Prompt Lab, but they're getting an error. They can open the project, but the prompt isn't executing. What's the first thing you'd investigate to troubleshoot this? Strong answer: The first thing I'd check is their role within the project. Watson AI projects use role-based access control, and it's likely they don't have the necessary permissions – either Editor or Admin – to execute prompts. I'd verify their assigned role in the project settings and ensure they've been granted the appropriate level of access. It's a common oversight when onboarding new team members.

  • Understanding of RBAC and its importance in AI projects
  • Troubleshooting methodology - starting with the most likely cause
  • Attention to detail - checking project settings
  • Communication skills - explaining the issue clearly

Caution: Simply saying 'check the permissions' without explaining *what* permissions or *where* to check them. Candidates should demonstrate understanding of the role-based access control system, not just a superficial awareness of permissions.

Objective/domain: Projects and Permissions

Source: Prompt Lab

Question 2 A RAG assistant must retrieve relevant passages from approved documents before generating an answer. Which retrieval component should the engineer create?

Answer choices

  1. A. AutoAI
  2. B. A project role assignment
  3. C. A PyTorch GPU device setting
  4. D. A vector index

Correct answer

A vector index

Objective/domain: Retrieval and Search

Source: Creating a vector index programmatically

Question 3 An AI engineer is working with prompt templates. Which action should the engineer take to ensure the prompt template is properly evaluated?

Answer choices

  1. A. IBM prohibits any prompt text without embeddings
  2. B. A deleted project archive
  3. C. Prompt template evaluation in watsonx.governance
  4. D. get_tokens_realtime

Correct answer

Prompt template evaluation in watsonx.governance

Objective/domain: Prompt Engineering and Evaluation

Source: Evaluating prompt templates in projects

Question 4 A RAG system must chunk long documents while preserving paragraph-level context for retrieval. Which chunking approach should the engineer choose?

Answer choices

  1. A. Use the system prompt as the only chunking boundary
  2. B. Split documents using structural boundaries such as paragraphs or double newlines
  3. C. Guarantee every chunk has exactly one sentence regardless of context
  4. D. Replace chunking with prompt variables

Correct answer

Split documents using structural boundaries such as paragraphs or double newlines

Objective/domain: Vector Index and RAG Details

Source: Creating a vector index programmatically

Question 5 An AI engineer is working with Big Data. Which action should the engineer take to optimize the data processing pipeline?

Answer choices

  1. A. StringIndexer
  2. B. OneHotEncoder
  3. C. VectorAssembler
  4. D. Tokenizer

Correct answer

Tokenizer

Objective/domain: Apache Spark & Big Data for AI

Source: Extracting, transforming and selecting features

Question 6 A governance review asks whether business users can understand why an AI system produced an output before the system is approved for use. Which responsible AI concern is being reviewed?

Answer choices

  1. A. Transparency and explainability
  2. B. Cable management
  3. C. Printer toner replacement
  4. D. Notebook cell formatting

Correct answer

Transparency and explainability

Objective/domain: Governance and Responsible AI

Source: IBM AI Ethics

Question 7 A reusable prompt template references a deployed model asset. Before the template itself can be used in a production workflow, what dependency must the engineer verify in the target space?

Answer choices

  1. A. Every user has administrator rights everywhere
  2. B. The source project has been deleted
  3. C. The associated model is available and deployed in the same space
  4. D. The prompt no longer contains variables

Correct answer

The associated model is available and deployed in the same space

Objective/domain: Deployment and MLOps

Source: Deploying a prompt template

Question 8 After training a scikit-learn model, an engineer needs to save the model object to the Watson Machine Learning repository with metadata and a compatible software specification. What should the engineer call?

Answer choices

  1. A. Move the PyTorch tensors to CUDA
  2. B. Use `client.repository.store_model` with the scikit-learn model object, specifying its name and a compatible software specification
  3. C. Call a nonstandard `gpu_accelerate(model)` helper
  4. D. Evaluate the model with ROC AUC only

Correct answer

Use `client.repository.store_model` with the scikit-learn model object, specifying its name and a compatible software specification

Objective/domain: Machine Learning & Deep Learning Frameworks

Source: Storing and deploying models

Question 9 A Tuning Studio job should adapt a foundation model by learning virtual prompt tokens rather than changing all model weights. Which action describes this prompt-tuning approach?

Answer choices

  1. A. Save a static prompt template in Prompt Lab
  2. B. By training new virtual tokens (a prompt vector) that are prepended to the input prompt
  3. C. Export the foundation model weights in binary format
  4. D. Process each row locally with shell scripts before training

Correct answer

By training new virtual tokens (a prompt vector) that are prepended to the input prompt

Objective/domain: Foundation Models

Source: Tuning Studio

Question 10 An AI engineer is working with Model Building. Which tool offers the fastest way to generate a model?

Answer choices

  1. A. Prompt Lab
  2. B. Certificate rotation
  3. C. AutoAI
  4. D. Manual YAML export only

Correct answer

AutoAI

Objective/domain: AutoAI and Model Building

Source: Building an AutoAI model

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