[04/Sarda/01]

What is the current exception in the Flow.BI architecture?

Which component of Flow.BI runs in the cloud or on premise?

What type of architecture is used in Flow.BI for its components?

Flow.BI's repository is not based on PostgreSQL.

Flow.BI's repository is used to store metadata and results.

Flow.BI's distributed Data Vault 2.0 architecture is not based on Massively Parallel Processing (MPP).

Match the following components of Flow.BI with their descriptions:

Match the following characteristics with their description in Flow.BI architecture:

Match the following terms with their association in Flow.BI architecture:

What is the main characteristic of an MPP cluster?

Why are MPP clusters well-suited for applications that require a high degree of parallelism?

What benefit makes MPP clusters a good choice for applications that require a lot of processing power?

What makes MPP clusters more cost-effective than traditional mainframes and supercomputers?

Which application is often associated with the use of MPP clusters?

What is the primary function of MPP clusters in data warehousing?

What does each node in an MPP cluster have?

How do nodes in an MPP cluster communicate with each other?

What makes MPP clusters suitable for scientific computing?

What characteristic allows MPP clusters to provide very high levels of performance?

Why are MPP clusters often more cost-effective than traditional mainframes and supercomputers?

True or false: MPP clusters consist of interconnected nodes that work together to process data in series, not in parallel?

True or false: Each node in an MPP cluster has its own CPU, memory, and storage?

True or false: MPP clusters are not suitable for applications that require a high degree of parallelism?

True or false: MPP clusters can be easily scaled by adding more nodes, making them a good choice for applications that require a lot of processing power?

True or false: MPP clusters are often more cost-effective than traditional mainframes and supercomputers because they require specialized and expensive hardware?

True or false: MPP clusters are well-suited for scientific computing due to their ability to distribute the workload across multiple nodes?

True or false: MPP clusters are not commonly used for data warehousing applications?

True or false: MPP clusters can provide very high levels of performance due to their ability to distribute the workload across multiple nodes?

True or false: MPP clusters can communicate with each other using a low-speed network?

True or false: MPP clusters are often used to store and analyze large amounts of data in data warehousing applications?

True or false: MPP clusters are not cost-effective because they can be built using commodity hardware?

True or false: MPP clusters are not suitable for big data analytics applications?

Match the following benefits with their descriptions of MPP clusters:

Match the following applications with their usage of MPP clusters:

Match the following components with their description in an MPP cluster: