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- - - Artificial Intelligence Courses
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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
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Tag: Marketing Automation

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?

Framer Motion with React

Flask

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 HTML tags

Use of CSS

SEO optimization only

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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:

Functional redundancy

Smooth transitions, microinteractions, and animations

Loud sound effects

High contrast alerts

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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:

Emotionally resonant visuals

Monospaced designs only

Backend-heavy features

Spreadsheet rendering

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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

Avoiding color theory

Strict functional logic only

Database query optimization

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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

Seamless messaging across devices and platforms

Siloed marketing

Sending duplicate alerts

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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

Blockchain wallets

Antivirus tools

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?

Only demographic data

Behavioral, transactional, and contextual data

Hardcoded tags

Static HTML templates

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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)

Load Time

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

Outbound cold-calling

Same discount for all users

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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

Token pruning

Sampling randomness

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0%

AIQ #29: Tools

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AI quiz 3

AIQ #29: Agent

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1 / 1

Which architecture typically supports retrieval in a RAG system?

XML parser

Neural Network only

REST API

FAISS or Pinecone vector search

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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

Token inflation in prompts

Latency introduced by the retrieval step

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0%

AIQ #27: Tools

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AI quiz 3

AIQ #27: Agent

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1 / 1

Why does RAG outperform standard prompting for niche knowledge tasks?

It injects domain-specific context into responses

It supports parallel processing

It provides up-to-date internet searches

It has a longer token limit

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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?

Encrypt model weights

Compile code

Visualize neural layers

Represent semantics in vector form for retrieval

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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:

Reinforcement learning and diagnostics

Static control logic

Deterministic scripts

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

Static file errors

Improved UI consistency

Shared GPU access

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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?

GUI interface

Static response table

Perception logic only

Planning and decision-making module

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

Maintains long-term goals

Responds only to current perceptions without memory

Depends on rule engines

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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?

Lack of data input

Excessive human intervention

Automation bias and unpredictable errors

Slow process time

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0%

AIQ #19: Tools

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AI quiz 3

AIQ #19: Tools

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1 / 1

An example of event-driven automation would be:

Restarting a service hourly

A scheduled daily backup

Triggering a workflow upon receiving an email

Clicking a button manually

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0%

AIQ #18: Tools

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AI quiz 3

AIQ #18: Tools

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1 / 1

Which type of automation is best for handling unstructured data?

Static scripts

Intelligent document processing

CI/CD automation

Workflow automation

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0%

AIQ #17: Tools

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AI quiz 3

AIQ #17: Tools

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1 / 1

What distinguishes hyperautomation from traditional automation?

It uses command-line interfaces

It focuses only on code automation

It’s based on hardware

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

API latency optimization

Data encryption

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?

API latency optimization

Model fine-tuning

Triggering external APIs within an LLM context

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

Web Hosting

GPU Management

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?

Model fine-tuning

Triggering external APIs within an LLM context

Data encryption

API latency optimization

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?

Acts as a data warehouse

Stores indexed document embeddings for retrieval

Hosts website frontends

Converts images to code

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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

Using ambiguous phrasing

Embedding random noise

Adding structured examples

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

Few-shot learning

Retrieval Augmented Generation

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:

Compression errors

Data loss in storage

Prompt information being revealed in the output

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 ?

Faster processing

Higher Accuracy

Token limit constraits

Better creativity

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

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?

Unsupervised

Reinforcement

Supervised

Patterned

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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 generalize well

They struggle with uncertainty and complex patterns

They learn from data

They are easy to scale

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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

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?

Trigonometry

Statistics

Geometry

Algebra

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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 with consciousness and self-awareness

AI trained only on labeled data

AI focused on narrow tasks

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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.

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

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

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

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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 track the overall velocity of the team

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

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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?

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

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

B. Encourage team with technical execution

A. Speak with PM to rewrite functional user stories

Your score is

0%