The 'Agile' approach to digital transformation emphasizes rapid experimentation, frequent releases, and iterative development. It is a flexible methodology that adapts to changing requirements and customer feedback.

The most appropriate choice for fast temporary storage between the CPU and main memory is 'Cache Memory.' It is a high-speed, volatile memory that reduces latency in data access, improving system performance.

The key difference is that 'Type 1 hypervisors' run directly on the physical hardware (bare-metal), while 'Type 2 hypervisors' run on top of a host operating system. Type 1 offers better performance and isolation.

The blank should be filled with "Certificate." A digital certificate serves as a cryptographic equivalent of a traditional signature or seal, offering a secure means of verifying the identity and authenticity of a user or entity.

'RAID' stands for Redundant Array of Independent Disks. It's a technology used to distribute and replicate data across multiple disks for performance and fault tolerance improvement.

'Encryption' is a cryptographic process that involves converting plain text into a scrambled format (cipher text) using a specific key. This is used to protect data from unauthorized access.

In cloud computing, a 'Cloud Network' refers to a consolidated network infrastructure in the cloud that replicates an on-premises network. It allows organizations to create virtualized network environments in the cloud.

This practice is often referred to as the "Zero Defect Approach" or "Zero Bug Bounce." It emphasizes fixing production defects promptly without following the standard incident management process.

In High-Performance Computing (HPC), applications often require massive data processing in real-time. In this context, 'memory bandwidth' is crucial because it determines how quickly data can be read from and written to memory. A high memory bandwidth is essential for feeding the processors with data at a rate that matches their processing capabilities, ensuring efficient execution of HPC tasks.

'Principal Component Analysis (PCA)' is a commonly used technique in data visualization to reduce the dimensionality of high-dimensional data while preserving as much variance as possible, making it suitable for 2D or 3D visualization.