St. Luke’s Hospital uses a cloud-based patient records system where doctors log in from any device, and the software automatically updates without local installation.

MoveIt uses small serverless pieces of code to compute surge fares whenever a customer checks for a ride. The code activates only when triggered and doesn’t run continuously.

Shopify uses a cloud POS system where cashiers simply log in, and the provider maintains the system and stores data online.

Reservation system is built on a managed SQL database where the cloud provider handles updates, tuning, and scaling automatically in Kuya J’s.

A YouTube-like platform uses serverless functions that automatically generate video thumbnails whenever a new video is uploaded. No servers are ever running.

Instagram stores billions of user photos in cloud object storage where the company manages their own file policies, security rules, and backups.

By migrating its entire data center to VMware Cloud on AWS, keeping full control of servers, networking, and storage as practiced by Rural Banks.

HBO runs an automation that recommends movies every time a user logs in. The process only executes when it is triggered.

Ninja Xpress company purchases a “total cloud package” that includes virtual desktops, cloud storage, email services, analytics, and cybersecurity; bundled under one subscription.

A school like the University of Perpetual Help – System DALTA subscribes to Microsoft 365, allowing students and teachers to access Word, PowerPoint, OneDrive, and Teams entirely online, with all updates managed automatically.

Lazada hosts its servers on AWS EC2, where their IT team installs Linux, configures load balancers, and manages database storage themselves.

A mobile ordering app using Google App Engine so they don’t worry about servers, OS updates, or scaling during peak hours.

A software startup uses Heroku to push code directly from GitHub. The platform handles deployment, scaling, and environment setup automatically.

Creative agencies were mostly subscribed to Adobe Creative Cloud to access Photoshop, Illustrator, Premiere Pro, and cloud storage for all projects.

Virtual banks rely on strong encryption and multi-factor authentication to secure user accounts and financial data.

KYC ensures that every customer recorded in an AIS is properly verified to prevent identity fraud and unauthorized transactions.

Virtual banks are not exempt from government regulations because they operate without physical branches. They still must comply with AML, KYC, and other financial regulations.

Enhanced Due Diligence (EDD) is generally required for high-risk customers, not low-risk ones.

Digital wallets and virtual banks must still follow AML and KYC regulations when onboarding users.

KYC records stored in an AIS must follow data privacy and confidentiality rules.

Virtual money transactions may carry higher risks due to their potential anonymity, making monitoring essential.

Companies conduct KYC to comply with Anti-Money Laundering (AML) and Counter-Terrorist Financing (CTF) laws.

Virtual banks record all customer transactions electronically, making auditing and tracking easier in an AIS.

Once KYC is completed during onboarding, organizations must update customer information periodically, especially if there are significant changes.

Monitoring for illegal activities is still necessary, even with the use of blockchain or encryption, because not all activities are fully transparent or safe.

The KYC process requires collecting valid identification, proof of address, and verifying the authenticity of customer data.

Virtual currencies are not always anonymous, and many systems (like blockchain) allow transaction traceability.

KYC supports accurate financial reporting by ensuring all transactions come from legitimate and identified customers.

Customer risk profiling is an important step in KYC to assess the likelihood of financial misuse.

Transactions involving virtual or digital currencies must still comply with financial reporting rules in AIS.

KYC helps accounting systems detect suspicious activities by linking transactions to verified customer identities.

Virtual banks still require identity verification similar to traditional banks despite being fully digital.

Social media accounts are not widely accepted as primary documents for completing KYC. Government-issued IDs are typically required.

Virtual banks, like GoTyme, do not operate mainly online and rely on physical branches instead of secure digital systems

Which of the following is the first step in the data analytics pipeline for IoT data?

In the context of data preprocessing, which technique is used to handle missing values in IoT sensor data?

Unsupervised learning in IoT data analytics typically involves:

Which technique is commonly used for real-time decision-making based on IoT data?

Which type of analytics is most appropriate for identifying hidden patterns in IoT data without any prior knowledge?