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- - - Artificial Intelligence Courses
    - AI Bootcamp
    - AI Agents & Automation Workshop
  - - Business Agility Services
    - Agile Coaching
    - Agile Implementation
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    - Corporate Agile Trainings
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Month: December 2018

December 11, 2018June 26, 2024Priya

Minimum Viable change in Agile transformation

When Agile thought the world to move away from Big Bang to MVP (Minimum viable product) , is it not applicable to […]

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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?

Flask

Framer Motion with React

Bootstrap

jQuery

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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?

Focus on emotional tone and engagement

Use of CSS

SEO optimization only

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:

Smooth transitions, microinteractions, and animations

High contrast alerts

Functional redundancy

Loud sound effects

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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:

Backend-heavy features

Monospaced designs only

Spreadsheet rendering

Emotionally resonant visuals

Your score is

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?

Avoiding color theory

Database query optimization

Prioritizing minimalism with expressive UI

Strict functional logic only

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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:

Seamless messaging across devices and platforms

Sending duplicate alerts

Siloed marketing

Centralizing billing

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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?

Image compressors

Blockchain wallets

Antivirus tools

CDPs and CRM systems

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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?

Behavioral, transactional, and contextual data

Static HTML templates

Hardcoded tags

Only demographic data

Your score is

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

Load Time

Customer Lifetime Value (CLV)

Session Duration

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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?

User-specific email and website customization

One-time SMS blast

Same discount for all users

Outbound cold-calling

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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

Token pruning

Sampling randomness

Larger model size

Your score is

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?

REST API

XML parser

FAISS or Pinecone vector search

Neural Network only

Your score is

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?

Token inflation in prompts

Too few dependencies

Output lacks coherence

Latency introduced by the retrieval step

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?

Visualize neural layers

Represent semantics in vector form for retrieval

Encrypt model weights

Compile code

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0%

AIQ #25: Tools

/1

AI quiz 3

AIQ #25: Agent

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1 / 1

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

Deterministic scripts

Static control logic

Reinforcement learning and diagnostics

UX design patterns

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0%

AIQ #24: Tools

/1

AI quiz 3

AIQ #24: Agent

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1 / 1

What is a limitation of reactive agents?

High memory use

Inability to sense

Slow execution

No learning or long-term planning

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0%

AIQ #23: Tools

/1

AI quiz 3

AIQ #23: Agent

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1 / 1

Multi-agent collaboration challenges often include:

Shared GPU access

Improved UI consistency

Intra-agent communication and coordination

Static file errors

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0%

AIQ #22: Tools

/1

AI quiz 3

AIQ #22: Agent

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1 / 1

Which component is essential in a deliberative agent?

GUI interface

Static response table

Planning and decision-making module

Perception logic only

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0%

AIQ #21: Tools

/1

AI quiz 3

AIQ #21: Agent

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1 / 1

What makes a reflex-based AI agent unique?

Responds only to current perceptions without memory

Maintains long-term goals

Depends on rule engines

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

Lack of data input

Automation bias and unpredictable errors

Slow process time

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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:

Restarting a service hourly

Triggering a workflow upon receiving an email

Clicking a button manually

A scheduled daily backup

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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?

Intelligent document processing

Static scripts

Workflow automation

CI/CD automation

Your score is

0%

AIQ #17: Tools

/1

AI quiz 3

AIQ #17: Tools

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1 / 1

What distinguishes hyperautomation from traditional automation?

It’s based on hardware

It uses command-line interfaces

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

It focuses only on code automation

Your score is

0%

AIQ #15: Tools

/1

AI quiz 3

AIQ #15: Tools

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1 / 1

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

Triggering external APIs within an LLM context

Model fine-tuning

API latency optimization

Data encryption

Your score is

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

Model fine-tuning

Data encryption

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?

Database Sharding

GPU Management

Web Hosting

Pretrained access to a wide range of NLP models

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?

Data encryption

API latency optimization

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?

PyTorchDVC

Selenium

UiPath

PyTorch

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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?

Hosts website frontends

Converts images to code

Stores indexed document embeddings for retrieval

Acts as a data warehouse

Your score is

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

Real-time video streaming

File conversion capabilities

Chaining of multiple prompts with memory support

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?

Embedding random noise

Using ambiguous phrasing

Adding structured examples

Minimizing the tokens used

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?

Few-shot learning

Context-free prompts

Retrieval Augmented Generation

Larger models

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:

Network latency

Prompt information being revealed in the output

Compression errors

Data loss in storage

Your score is

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 ?

Faster processing

Higher Accuracy

Better creativity

Token limit constraits

Your score is

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

You are fine tuning the model

The model has access to external APIs

No task-specific examples are provided

The prompt is too vague

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?

Reinforcement

Supervised

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 are easy to scale

They struggle with uncertainty and complex patterns

They learn from data

They generalize well

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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?

Algorithm complexity

Biased training data

Overfitting

Unlabeled data

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0%

AIQ #3: Machine Learning

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AI quiz 3

AIQ #3: Machine Learning

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1 / 1

Which mathematical concept is foundational to machine learning?

Algebra

Trigonometry

Geometry

Statistics

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0%

AIQ #1: 'Strong AI'

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AI-image

AIQ #1: 'Strong AI'

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1 / 1

Which of the following best describes 'strong AI'?

AI that can simulate human behavior

AI trained only on labeled data

AI focused on narrow tasks

AI with consciousness and self-awareness

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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?

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

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

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

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

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

To estimate the effort required for each task

To prioritize high-impact user stories

To track the overall velocity of the team

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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?

B. Encourage team with technical execution

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

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

A. Speak with PM to rewrite functional user stories

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0%