What is true between data modeling and the formatting of the data?

• The data does not necessarily need to be formatted in a way that represents the data model. Just so long as it can be extrapolated.

• There is a one to one correspondence between formatting data and data modeling. For every model of data, there is only one way to store the data.

• There is always one specific schema for storing model data that is the best and preferred method for the specific data representation.

What is streaming?

• Using static data stored from a real time source in order to process and guide the application.

• Calculating results using real time data otherwise known as streaming data.

• Using sensors to manipulate the system, such as a smart car being able to drive by itself using sensors to detect road hazards.

• Utilizing real time data to compute and change the state of an application continuously.

Of the following, what best describes the properties of working with streaming data?

• Small time windows for working with data.

• Always unbounded in sequence, in other words, data is not guaranteed to be in order.

• Data manipulation is near real time.

• Does not ping the source interactively for a response upon receiving the data.

• Independent computations that do not rely on previous or future data.

• Data is always utilized for streaming the application.

What is a characteristic of streaming data?

• Data is finite in size and size determines the time and space of processing the data.

• Data is unbounded in size but requires only finite time and space to process it.

• The data is unbounded in size and the size determines the time and space of processing the data.

• The data is finite and requires only finite time and space to process the data.

What type of algorithm is required for analyzing streaming data?

• Fast and Simple

• Accurate and Memory Efficient

• Fast and Complex

• Accurate and Consistent

What is lambda architecture?

• A specific hardware architecture for a server made specifically for processing real time data.

• A specific method for processing streaming data using special real time processes.

• A method to process streaming data by utilizing batch processing and real time processing.

Of the following, which best represents the challenge regarding the size and frequency of data?

• The size and frequency of the streaming data may be too small.

• The size and frequency of the streaming data may be sporadic.

• There may not be data to produce the notion of size and frequency.

What is the difference between data lakes and data warehouses?

• Data lakes contain only files while data warehouses contain only databases.

• Data lakes house raw data while data warehouses contain pre-formatted data.

• Data lakes utilize hierarchical systems while data warehouses use object storage.

What is schema-on-read?

• The process where formatted data is given structure when read.

• Data is stored as raw data until it is read by an application where the application assigns structure.

• The process where data is pre-formatted prior to being read but the schema is loaded on read.

• Another name for data lakes.