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Month: December 2021

December 23, 2021June 26, 2024Priya

DevOps Transformation Anti-patterns Perspectives.

Author : Balaji T A transformation works only when it is treated like a transformation & not just as an information. Too many organizations […]

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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

Bootstrap

Framer Motion with React

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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

Use of CSS

Focus on emotional tone and engagement

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

Loud sound effects

Smooth transitions, microinteractions, and animations

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

Backend-heavy features

Spreadsheet rendering

Monospaced designs only

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

Strict functional logic only

Avoiding color theory

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

Centralizing billing

Siloed marketing

Seamless messaging across devices and platforms

Your score is

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

Antivirus tools

CDPs and CRM systems

Blockchain wallets

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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

Hardcoded tags

Only demographic data

Static HTML templates

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?

Customer Lifetime Value (CLV)

Bounce Rate

Session Duration

Load Time

Your score is

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?

One-time SMS blast

Outbound cold-calling

User-specific email and website customization

Same discount for all users

Your score is

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?

Larger model size

Token pruning

Sampling randomness

Context retrieved from reliable sources

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?

Latency introduced by the retrieval step

Too few dependencies

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 provides up-to-date internet searches

It supports parallel processing

It injects domain-specific context into responses

It has a longer token limit

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?

Compile code

Represent semantics in vector form for retrieval

Encrypt model weights

Visualize neural layers

Your score is

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:

Deterministic scripts

Reinforcement learning and diagnostics

UX design patterns

Static control logic

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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?

Inability to sense

High memory use

No learning or long-term planning

Slow execution

Your score is

0%

AIQ #23: Tools

/1

AI quiz 3

AIQ #23: Agent

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1 / 1

Multi-agent collaboration challenges often include:

Static file errors

Intra-agent communication and coordination

Improved UI consistency

Shared GPU access

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?

GUI interface

Perception logic only

Planning and decision-making module

Static response table

Your score is

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

Stores historical data

Depends on rule engines

Your score is

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:

Clicking a button manually

A scheduled daily backup

Triggering a workflow upon receiving an email

Restarting a service hourly

Your score is

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?

Workflow automation

Static scripts

Intelligent document processing

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 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?

Triggering external APIs within an LLM context

Model fine-tuning

Data encryption

API latency optimization

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?

Triggering external APIs within an LLM context

Data encryption

Model fine-tuning

API latency optimization

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

Pretrained access to a wide range of NLP models

Database Sharding

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?

Data encryption

Triggering external APIs within an LLM context

API latency optimization

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

PyTorch

Selenium

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?

Acts as a data warehouse

Stores indexed document embeddings for retrieval

Hosts website frontends

Converts images to code

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?

File conversion capabilities

Real-time video streaming

Chaining of multiple prompts with memory support

Pre-trained data sets

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

Minimizing the tokens used

Adding structured examples

Using ambiguous phrasing

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

/1

AI quiz 3

AI #8: Prompting

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1 / 1

Prompt leakage typically refers to:

Data loss in storage

Prompt information being revealed in the output

Network latency

Compression errors

Your score is

0%

AI #7: AI Prompting

/1

AI quiz 3

AI #7: AI Prompting

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1 / 1

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

Better creativity

Higher Accuracy

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

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

Unsupervised

Reinforcement

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 are easy to scale

They learn from data

They generalize well

They struggle with uncertainty and complex patterns

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

Your score is

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

Algebra

Geometry

Your score is

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 trained only on labeled data

AI that can simulate human behavior

AI with consciousness and self-awareness

AI focused on narrow tasks

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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.

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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0%

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 track the overall velocity of the team

To prioritize high-impact user stories

To estimate the effort required for each task

Your score is

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

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

B. Encourage team with technical execution

A. Speak with PM to rewrite functional user stories

Your score is

0%