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- - - Artificial Intelligence Courses
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    - AI Bootcamp
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- - - Artificial Intelligence Courses
    - AI Agile Certification Course (AI_ACF)
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    - AI Agents & Automation Workshop
    - AI Bootcamp
  - - Business Agility Services
    - Agile Coaching
    - Agile Implementation
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    - Corporate Agile Trainings
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Tag: Voice Search & Visual Search

September 11, 2025AgileBodhi blogs

AI Benefits in Digital Marketing

Artificial Intelligence (AI) has evolved from being a futuristic concept to becoming an essential driver of business growth. In the realm of […]

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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?

jQuery

Flask

Framer Motion with React

Bootstrap

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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?

Use of HTML tags

SEO optimization only

Focus on emotional tone and engagement

Use of CSS

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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:

Loud sound effects

High contrast alerts

Functional redundancy

Smooth transitions, microinteractions, and animations

Your score is

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

Emotionally resonant visuals

Monospaced designs only

Spreadsheet rendering

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?

Prioritizing minimalism with expressive UI

Database query optimization

Avoiding color theory

Strict functional logic only

Your score is

0%

AIQ #35: Tools

/1

AI quiz 3

AIQ #35: Agent

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1 / 1

Cross-channel orchestration in MCP refers to:

Sending duplicate alerts

Siloed marketing

Seamless messaging across devices and platforms

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?

Blockchain wallets

Antivirus tools

CDPs and CRM systems

Image compressors

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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

Only demographic data

Static HTML templates

Hardcoded tags

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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?

Session Duration

Load Time

Bounce Rate

Customer Lifetime Value (CLV)

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0%

AIQ #31: Tools

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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

Outbound cold-calling

Same discount for all users

One-time SMS blast

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0%

AIQ #30: Tools

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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

Larger model size

Sampling randomness

Token pruning

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?

XML parser

REST API

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?

Too few dependencies

Latency introduced by the retrieval step

Token inflation in prompts

Output lacks coherence

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 injects domain-specific context into responses

It supports parallel processing

It provides up-to-date internet searches

Your score is

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?

Encrypt model weights

Represent semantics in vector form for retrieval

Visualize neural layers

Compile code

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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

Reinforcement learning and diagnostics

UX design patterns

Deterministic scripts

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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?

Slow execution

Inability to sense

High memory use

No learning or long-term planning

Your score is

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:

Static file errors

Improved UI consistency

Shared GPU access

Intra-agent communication and coordination

Your score is

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?

Static response table

Planning and decision-making module

GUI interface

Perception logic only

Your score is

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?

Stores historical data

Depends on rule engines

Maintains long-term goals

Responds only to current perceptions without memory

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0%

AIQ #20: Tools

/1

AI quiz 3

AIQ #20: Tools

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1 / 1

What is a key risk in AI-driven automation?

Lack of data input

Excessive human intervention

Automation bias and unpredictable errors

Slow process time

Your score is

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:

Triggering a workflow upon receiving an email

A scheduled daily backup

Clicking a button manually

Restarting a service hourly

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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

Static scripts

Intelligent document processing

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

It’s based on hardware

It uses command-line interfaces

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?

Model fine-tuning

Data encryption

API latency optimization

Triggering external APIs within an LLM context

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?

Model fine-tuning

API latency optimization

Data encryption

Triggering external APIs within an LLM context

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

Web Hosting

Database Sharding

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

Triggering external APIs within an LLM context

Model fine-tuning

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

UiPath

Selenium

PyTorch

Your score is

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

Acts as a data warehouse

Hosts website frontends

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?

File conversion capabilities

Pre-trained data sets

Real-time video streaming

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?

Adding structured examples

Minimizing the tokens used

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

Network latency

Compression errors

Data loss in storage

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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 ?

Higher Accuracy

Better creativity

Token limit constraits

Faster processing

Your score is

0%

AI #6: AI Prompting

/1

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

The prompt is too vague

No task-specific examples are provided

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?

Unsupervised

Patterned

Supervised

Reinforcement

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0%

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 generalize well

They learn from data

They are easy to scale

Your score is

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?

Unlabeled data

Algorithm complexity

Overfitting

Biased training 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?

Trigonometry

Statistics

Geometry

Algebra

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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 trained only on labeled data

AI focused on narrow tasks

AI that can simulate human behavior

AI with consciousness and self-awareness

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0%

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.

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.

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

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0%

QOW #2: Kanban-WIP Limits

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QOW #2: Kanban-WIP Limits

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

To estimate the effort required for each task

To track the overall velocity of the team

To prioritize high-impact user stories

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

B. Encourage team with technical execution

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

A. Speak with PM to rewrite functional user stories

Your score is

0%