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- - - Artificial Intelligence Courses
    - AI Agile Certification Course (AI_ACF)
    - AI in Digital Marketing (AI_DM)
    - AI Agents & Automation Workshop
    - AI Bootcamp
  - - Business Agility Services
    - Agile Coaching
    - Agile Implementation
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    - Agile Repair
    - Corporate Agile Trainings
    - Metrics Assessment and Customization
    - Manager to Coach Program
Consultants
Success Stories
Events
Library
Our Company

Our Offerings
- - - Artificial Intelligence Courses
    - AI Agile Certification Course (AI_ACF)
    - AI in Digital Marketing (AI_DM)
    - AI Agents & Automation Workshop
    - AI Bootcamp
  - - Business Agility Services
    - Agile Coaching
    - Agile Implementation
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    - Agile Repair
    - Corporate Agile Trainings
    - Metrics Assessment and Customization
    - Manager to Coach Program
Consultants
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Library
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AIQ #40: Tools

/1

AI quiz 3

AIQ #40: Vibe Coding

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1 / 1

Which framework aligns well with Vibe Coding principles?

Bootstrap

jQuery

Framer Motion with React

Flask

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0%

AIQ #39: Tools

/1

AI quiz 3

AIQ #39: Vibe Coding

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1 / 1

What differentiates Vibe Coding from general front-end development?

SEO optimization only

Focus on emotional tone and engagement

Use of CSS

Use of HTML tags

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0%

AIQ #38: Tools

/1

AI quiz 3

AIQ #38: Vibe Coding

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1 / 1

In Vibe Coding, ‘delightful interaction’ usually means:

High contrast alerts

Smooth transitions, microinteractions, and animations

Loud sound effects

Functional redundancy

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0%

AIQ #37: Tools

/1

AI quiz 3

AIQ #37: Vibe Coding

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1 / 1

Vibe Coding often incorporates:

Spreadsheet rendering

Monospaced designs only

Backend-heavy features

Emotionally resonant visuals

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0%

AIQ #36: Tools

/1

AI quiz 3

AIQ #36: Vibe Coding

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1 / 1

What is an important aspect of Vibe Coding?

Prioritizing minimalism with expressive UI

Strict functional logic only

Database query optimization

Avoiding color theory

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0%

AIQ #35: Tools

/1

AI quiz 3

AIQ #35: Agent

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1 / 1

Cross-channel orchestration in MCP refers to:

Centralizing billing

Sending duplicate alerts

Siloed marketing

Seamless messaging across devices and platforms

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0%

AIQ #34: Tools

/1

AI quiz 3

AIQ #34: Agent

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1 / 1

MCP platforms often integrate with which technologies?

CDPs and CRM systems

Image compressors

Blockchain wallets

Antivirus tools

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0%

AIQ #33: Tools

/1

AI quiz 3

AIQ #33: Agent

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1 / 1

What data drives personalization in MCP strategies?

Hardcoded tags

Static HTML templates

Behavioral, transactional, and contextual data

Only demographic data

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0%

AIQ #32: Tools

/1

AI quiz 3

AIQ #32: Agent

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1 / 1

What is a key KPI for measuring MCP success?

Bounce Rate

Customer Lifetime Value (CLV)

Session Duration

Load Time

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0%

AIQ #31: Tools

/1

AI quiz 3

AIQ #31: Agent

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1 / 1

Which of these reflects MCP in a retail environment?

Outbound cold-calling

One-time SMS blast

Same discount for all users

User-specific email and website customization

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0%

AIQ #30: Tools

/1

AI quiz 3

AIQ #30: Agent

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1 / 1

What ensures factual accuracy in a RAG response?

Context retrieved from reliable sources

Sampling randomness

Larger model size

Token pruning

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0%

AIQ #29: Tools

/1

AI quiz 3

AIQ #29: Agent

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1 / 1

Which architecture typically supports retrieval in a RAG system?

Neural Network only

REST API

FAISS or Pinecone vector search

XML parser

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0%

AIQ #28: Tools

/1

AI quiz 3

AIQ #28: Agent

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1 / 1

What’s one challenge of integrating RAG in production systems?

Output lacks coherence

Too few dependencies

Latency introduced by the retrieval step

Token inflation in prompts

Your score is

0%

AIQ #27: Tools

/1

AI quiz 3

AIQ #27: Agent

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1 / 1

Why does RAG outperform standard prompting for niche knowledge tasks?

It has a longer token limit

It provides up-to-date internet searches

It injects domain-specific context into responses

It supports parallel processing

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0%

AIQ #26: Tools

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AI quiz 3

AIQ #26: Agent

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1 / 1

In RAG pipelines, what’s the typical role of embeddings?

Represent semantics in vector form for retrieval

Visualize neural layers

Compile code

Encrypt model weights

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0%

AIQ #25: Tools

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AI quiz 3

AIQ #25: Agent

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1 / 1

An autonomous agent with self-healing capabilities would likely use:

Static control logic

Deterministic scripts

Reinforcement learning and diagnostics

UX design patterns

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0%

AIQ #24: Tools

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AI quiz 3

AIQ #24: Agent

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1 / 1

What is a limitation of reactive agents?

No learning or long-term planning

Slow execution

High memory use

Inability to sense

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0%

AIQ #23: Tools

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AI quiz 3

AIQ #23: Agent

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1 / 1

Multi-agent collaboration challenges often include:

Intra-agent communication and coordination

Shared GPU access

Improved UI consistency

Static file errors

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0%

AIQ #22: Tools

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AI quiz 3

AIQ #22: Agent

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1 / 1

Which component is essential in a deliberative agent?

Planning and decision-making module

Static response table

Perception logic only

GUI interface

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0%

AIQ #21: Tools

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AI quiz 3

AIQ #21: Agent

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1 / 1

What makes a reflex-based AI agent unique?

Depends on rule engines

Maintains long-term goals

Responds only to current perceptions without memory

Stores historical data

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0%

AIQ #20: Tools

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AI quiz 3

AIQ #20: Tools

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1 / 1

What is a key risk in AI-driven automation?

Excessive human intervention

Slow process time

Lack of data input

Automation bias and unpredictable errors

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0%

AIQ #19: Tools

/1

AI quiz 3

AIQ #19: Tools

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1 / 1

An example of event-driven automation would be:

Clicking a button manually

Restarting a service hourly

A scheduled daily backup

Triggering a workflow upon receiving an email

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0%

AIQ #18: Tools

/1

AI quiz 3

AIQ #18: Tools

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1 / 1

Which type of automation is best for handling unstructured data?

CI/CD automation

Workflow automation

Intelligent document processing

Static scripts

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0%

AIQ #17: Tools

/1

AI quiz 3

AIQ #17: Tools

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1 / 1

What distinguishes hyperautomation from traditional automation?

It uses command-line interfaces

It’s based on hardware

It focuses only on code automation

It combines AI, RPA, and ML for scalable end-to-end processes

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0%

AIQ #15: Tools

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AI quiz 3

AIQ #15: Tools

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1 / 1

What is the use of OpenAI’s ‘function calling’ feature?

Model fine-tuning

Triggering external APIs within an LLM context

API latency optimization

Data encryption

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0%

AIQ #16: Tools

/1

AI quiz 3

AIQ #15: Tools

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1 / 1

What is the use of OpenAI’s ‘function calling’ feature?

API latency optimization

Triggering external APIs within an LLM context

Data encryption

Model fine-tuning

Your score is

0%

AIQ #14: Tools

/1

AI quiz 3

AIQ #14: Tools

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1 / 1

Why is Hugging Face Transformers library widely adopted?

GPU Management

Database Sharding

Pretrained access to a wide range of NLP models

Web Hosting

Your score is

0%

/1

AI quiz 3

AIQ #15: Tools

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1 / 1

What is the use of OpenAI’s ‘function calling’ feature?

API latency optimization

Data encryption

Model fine-tuning

Triggering external APIs within an LLM context

Your score is

0%

AIQ #13: Tools

/1

AI quiz 3

AIQ #13: Tools

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1 / 1

Which of the following tools specializes in UI-based automation?

Selenium

PyTorch

UiPath

PyTorchDVC

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0%

AIQ #12: Tools

/1

AI quiz 3

AIQ #12: Tools

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1 / 1

In AI tooling, what role does a vector database play?

Converts images to code

Hosts website frontends

Acts as a data warehouse

Stores indexed document embeddings for retrieval

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0%

AIQ #11: Tools

/1

AI quiz 3

AIQ #11: Tools

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1 / 1

Which feature distinguishes LangChain from basic LLM interfaces?

Pre-trained data sets

File conversion capabilities

Chaining of multiple prompts with memory support

Real-time video streaming

Your score is

0%

AIQ #10: Prompt Engineering

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AI quiz 3

AIQ #10: Prompt Engineering

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1 / 1

Which of the following improves prompt robustness?

Minimizing the tokens used

Adding structured examples

Using ambiguous phrasing

Embedding random noise

Your score is

0%

AI #9: Factual Data

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AI quiz 3

AI #9: Factual Data

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1 / 1

What helps most in grounding a model’s output to factual data?

Context-free prompts

Larger models

Retrieval Augmented Generation

Few-shot learning

Your score is

0%

AI #8: Prompting

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AI quiz 3

AI #8: Prompting

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1 / 1

Prompt leakage typically refers to:

Prompt information being revealed in the output

Data loss in storage

Compression errors

Network latency

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0%

AI #7: AI Prompting

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AI quiz 3

AI #7: AI Prompting

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1 / 1

What's the downside of overly long prompts in LLMs ?

Token limit constraits

Higher Accuracy

Better creativity

Faster processing

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0%

AI #6: AI Prompting

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AI quiz 3

AI #6: AI Prompting

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1 / 1

Zero-shot prompting is best suited when

The model has access to external APIs

No task-specific examples are provided

The prompt is too vague

You are fine tuning the model

Your score is

0%

AI #5: AI Learning

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AI quiz 3

AI #5: AI Learning

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1 / 1

Which of the following is NOT a type of learning in AI?

Supervised

Reinforcement

Unsupervised

Patterned

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AIQ #2: Traditional rule-based

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AI quiz 2

AIQ #2: Traditional rule-based

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1 / 1

Which of these is a limitation of traditional rule-based systems?

They struggle with uncertainty and complex patterns

They are easy to scale

They generalize well

They learn from data

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0%

AIQ #4: AI models

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AI quiz 3

AIQ #4: AI models

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1 / 1

Bias in AI models typically arises due to?

Biased training data

Algorithm complexity

Unlabeled data

Overfitting

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0%

AIQ #3: Machine Learning

/1

AI quiz 3

AIQ #3: Machine Learning

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1 / 1

Which mathematical concept is foundational to machine learning?

Trigonometry

Geometry

Algebra

Statistics

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0%

AIQ #1: 'Strong AI'

/1

AI-image

AIQ #1: 'Strong AI'

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1 / 1

Which of the following best describes 'strong AI'?

AI with consciousness and self-awareness

AI trained only on labeled data

AI focused on narrow tasks

AI that can simulate human behavior

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QOW #3: Mid Sprint

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QOW #3: Mid Sprint

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1 / 1

In an Agile environment, what is the most effective way to handle an unexpected technical dependency discovered mid-sprint?

Halt the sprint and re-plan the backlog to accommodate the dependency.

Continue with the sprint as planned, accepting potential delays in dependent tasks.

Assign the dependency to a respective team outside the current sprint cycle.

Modify the user story acceptance criteria to exclude functionality impacted by the dependency.

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QOW #2: Kanban-WIP Limits

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QOW #2: Kanban-WIP Limits

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1 / 1

In Kanban, what is the purpose of "WIP limits" (Work in Progress)?

To estimate the effort required for each task

To prioritize high-impact user stories

To track the overall velocity of the team

To define the maximum number of tasks allowed in each stage of the workflow

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0%

QOW #1: Technical UserStory

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QOW #1: Technical UserStory

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1 / 1

Case Study: Analysing a team backlog, coach finds that user stories are technical. What should a coach do?

D. Speak with the engineering manager to write functional user stories

A. Speak with PM to rewrite functional user stories

B. Encourage team with technical execution

C. Coach should ask scrum master to rewrite the user stories

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0%