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  • Premium File: 99 Questions & Answers. Last update: Oct 27, 2026
  • Training Course: 28 Video Lectures
  • Study Guide: 407 Pages
  • Latest Questions
  • 100% Accurate Answers
  • Fast Exam Updates
$79.97
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Google Generative AI Leader Practice Test 29

Question 280

A compliance officer asks when customer uploads are deleted after a project ends. Which control determines this?

  1. Audit logs and traceability
  2. Responsible AI safety controls
  3. Role-based and policy-based access
  4. Data-use and retention governance

Explanation

Correct Answer

D:

Retention schedules govern deletion timing. Data policies define permitted use and the lifecycle of sensitive information.

Incorrect Answers

A:

Audit records capture relevant accesses, administrative actions and system events. This does not directly meet the case requirement to enforce a documented data lifecycle.

B:

Safety controls evaluate and filter harmful or inappropriate model content. This does not directly meet the case requirement to enforce a documented data lifecycle.

C:

IAM and access policies constrain who or what can use cloud resources. This does not directly meet the case requirement to enforce a documented data lifecycle.

Question 281

A business analyst needs to prototype an FAQ agent visually without writing code. Which approach most reduces the implementation barrier?

  1. No-code AI design interface
  2. Model inference API
  3. Low-code workflow design
  4. Pretrained model reuse

Explanation

Correct Answer

A:

Visual builders can configure a simple supported agent. No-code builders let users configure supported models or agents through visual controls.

Incorrect Answers

B:

An API allows applications to send input to a model programmatically. This does not directly meet the case requirement to design an agent without hand-coding its logic.

C:

Low-code tools combine prebuilt operations with limited custom expressions or scripts. This does not directly meet the case requirement to design an agent without hand-coding its logic.

D:

Pretrained models provide learned capabilities without custom full-model training. This does not directly meet the case requirement to design an agent without hand-coding its logic.

Question 282

A process team needs to connect standard approval steps and add a small custom condition. What development style fits?

  1. Custom model training
  2. Human-centered application design
  3. Low-code workflow design
  4. No-code AI design interface

Explanation

Correct Answer

C:

Low-code workflow tools allow declarative steps with targeted customization. Low-code tools combine prebuilt operations with limited custom expressions or scripts.

Incorrect Answers

A:

Custom training builds or extensively adapts models when simpler existing options do not meet needs. This does not directly meet the case requirement to combine prebuilt automation and limited code.

B:

User experience design ensures the system fits people, tasks and review needs. This does not directly meet the case requirement to combine prebuilt automation and limited code.

D:

No-code builders let users configure supported models or agents through visual controls. This does not directly meet the case requirement to combine prebuilt automation and limited code.

Question 283

A mobile developer wants to send an image and prompt from a custom app and receive a model response. Which integration is needed?

  1. No-code AI design interface
  2. Low-code workflow design
  3. Human-centered application design
  4. Model inference API

Explanation

Correct Answer

D:

The model API provides a programmable interface. An API allows applications to send input to a model programmatically.

Incorrect Answers

A:

No-code builders let users configure supported models or agents through visual controls. This does not directly meet the case requirement to call generative inference from an application.

B:

Low-code tools combine prebuilt operations with limited custom expressions or scripts. This does not directly meet the case requirement to call generative inference from an application.

C:

User experience design ensures the system fits people, tasks and review needs. This does not directly meet the case requirement to call generative inference from an application.

Question 284

A startup wants sentiment and drafting capabilities quickly instead of collecting billions of tokens. Which strategy is proportionate?

  1. No-code AI design interface
  2. Human-centered application design
  3. Pretrained model reuse
  4. Custom model training

Explanation

Correct Answer

C:

Existing models offer reusable learned functionality. Pretrained models provide learned capabilities without custom full-model training.

Incorrect Answers

A:

No-code builders let users configure supported models or agents through visual controls. This does not directly meet the case requirement to reuse a pretrained model for the application.

B:

User experience design ensures the system fits people, tasks and review needs. This does not directly meet the case requirement to reuse a pretrained model for the application.

D:

Custom training builds or extensively adapts models when simpler existing options do not meet needs. This does not directly meet the case requirement to reuse a pretrained model for the application.

Question 285

A research institution has a novel modality unsupported by available models and abundant specialist data. What heavier approach might it evaluate?

  1. Human-centered application design
  2. No-code AI design interface
  3. Low-code workflow design
  4. Custom model training

Explanation

Correct Answer

D:

Specialized research may justify custom training. Custom training builds or extensively adapts models when simpler existing options do not meet needs.

Incorrect Answers

A:

User experience design ensures the system fits people, tasks and review needs. This does not directly meet the case requirement to train a purpose-built model when alternatives are inadequate.

B:

No-code builders let users configure supported models or agents through visual controls. This does not directly meet the case requirement to train a purpose-built model when alternatives are inadequate.

C:

Low-code tools combine prebuilt operations with limited custom expressions or scripts. This does not directly meet the case requirement to train a purpose-built model when alternatives are inadequate.

Question 286

A new employee assistant is technically accurate but overwhelms users with dense jargon. What design practice needs attention?

  1. Pretrained model reuse
  2. Model inference API
  3. Human-centered application design
  4. No-code AI design interface

Explanation

Correct Answer

C:

The user experience must suit its audience. User experience design ensures the system fits people, tasks and review needs.

Incorrect Answers

A:

Pretrained models provide learned capabilities without custom full-model training. This does not directly meet the case requirement to make AI output usable for nontechnical staff.

B:

An API allows applications to send input to a model programmatically. This does not directly meet the case requirement to make AI output usable for nontechnical staff.

D:

No-code builders let users configure supported models or agents through visual controls. This does not directly meet the case requirement to make AI output usable for nontechnical staff.

Question 287

An operations leader needs a visual agent proof-of-concept before funding engineering. The prototype must be assembled with no scripting or programming. Which tool style offers the direct fit?

  1. No-code AI design interface
  2. Custom model training
  3. Low-code workflow design
  4. Model inference API

Explanation

Correct Answer

A:

No-code configuration supports quick feasibility demonstrations. No-code builders let users configure supported models or agents through visual controls.

Incorrect Answers

B:

Custom training builds or extensively adapts models when simpler existing options do not meet needs. This does not directly meet the case requirement to prototype a simple AI experience visually.

C:

Low-code tools combine prebuilt operations with limited custom expressions or scripts. This does not directly meet the case requirement to prototype a simple AI experience visually.

D:

An API allows applications to send input to a model programmatically. This does not directly meet the case requirement to prototype a simple AI experience visually.

Question 288

A team wants a visual automation with a short script that validates a claim. Which option fits?

  1. Human-centered application design
  2. Pretrained model reuse
  3. Low-code workflow design
  4. No-code AI design interface

Explanation

Correct Answer

C:

Low-code mixes configuration with selective scripting. Low-code tools combine prebuilt operations with limited custom expressions or scripts.

Incorrect Answers

A:

User experience design ensures the system fits people, tasks and review needs. This does not directly meet the case requirement to use constrained code alongside prebuilt workflow blocks.

B:

Pretrained models provide learned capabilities without custom full-model training. This does not directly meet the case requirement to use constrained code alongside prebuilt workflow blocks.

D:

No-code builders let users configure supported models or agents through visual controls. This does not directly meet the case requirement to use constrained code alongside prebuilt workflow blocks.

Question 289

A SaaS product needs programmatic access to Gemini predictions inside its own UI. Which interface is relevant?

  1. Model inference API
  2. No-code AI design interface
  3. Low-code workflow design
  4. Pretrained model reuse

Explanation

Correct Answer

A:

An inference API can be called from an application. An API allows applications to send input to a model programmatically.

Incorrect Answers

B:

No-code builders let users configure supported models or agents through visual controls. This does not directly meet the case requirement to integrate model responses programmatically.

C:

Low-code tools combine prebuilt operations with limited custom expressions or scripts. This does not directly meet the case requirement to integrate model responses programmatically.

D:

Pretrained models provide learned capabilities without custom full-model training. This does not directly meet the case requirement to integrate model responses programmatically.

Question 290

An innovation lab wants a general model ready today for summarization tests. Which path avoids unnecessary training cost?

  1. Custom model training
  2. Pretrained model reuse
  3. Model inference API
  4. No-code AI design interface

Explanation

Correct Answer

B:

Pretrained models support immediate experimentation. Pretrained models provide learned capabilities without custom full-model training.

Incorrect Answers

A:

Custom training builds or extensively adapts models when simpler existing options do not meet needs. This does not directly meet the case requirement to use learned capabilities without full retraining.

C:

An API allows applications to send input to a model programmatically. This does not directly meet the case requirement to use learned capabilities without full retraining.

D:

No-code builders let users configure supported models or agents through visual controls. This does not directly meet the case requirement to use learned capabilities without full retraining.

Generative AI Leader Practice Tests

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