A Virtual Desktop Infrastructure (VDI) provides outsourced developers secure, centralized access to the cloud environment. Since applications and data remain within the controlled environment and are not stored on personal laptops, this prevents data leakage or unauthorized copying.

The requirement is to ensure data is secure while stored on a third-party cloud system (data at rest).
Hashing
Hashing is commonly used to securely store sensitive values (such as passwords) so they cannot be reversed, even if accessed by unauthorized parties.
AES (Advanced Encryption Standard)
AES is a strong, industry-standard encryption algorithm used to protect data at rest. It ensures confidentiality while the data is stored on cloud infrastructure.

Explanation:
First Cloud Service Provider Dropdown (Password Management):
Single Sign-On (SSO): This reduces the need for multiple logins, making it easier for users to securely access cloud services with minimal login requirements.
Second Cloud Service Provider Dropdown (Password Management):
Multi-Factor Authentication (MFA): To fulfill the requirement for secondary authentication, adding MFA strengthens access security by requiring an additional factor beyond just passwords.
Database Server Dropdown:
Security Information and Event Management (SIEM): This control is ideal for tracking user activity and monitoring for anomalous activity, as it can analyze and log activities across the network, providing valuable insights into potential security threats.

A Virtual Private Network (VPN) is the most cost-effective solution for extending on-premises services to a public cloud while ensuring secure remote connectivity. VPNs can be configured to avoid IP address conflicts and overlap by using IP address translation and tunneling techniques, making them suitable for connecting disparate environments without significant changes to the existing network infrastructure.

The Reserved resources model offers cost savings for committed use over a long term, which can reduce costs while maintaining performance for predictable workloads. The Spot instance model allows users to take advantage of unused capacity at lower prices, offering significant cost savings, though with the possibility of instances being terminated when demand rises. Both models can be strategically used to optimize costs without compromising performance.