Big Data Analytics Quiz 2
Big Data Analytics Quiz
Test your knowledge and understanding of big data analytics with this engaging quiz. This quiz is designed to challenge your grasp of key concepts and practices in the field of big data, including scalability, data processing frameworks, and more.
Enjoy exploring these topics:
- Complexity in big data systems
- Relational database design
- Hadoop and its application
- Scalability principles
Complexity contributes to two major failure categories:
Small data, as opposed to Big Data
Inadequate system performance
Non-real-time Big Data
Hardware failure
The wrong architecture
Software bugs
Operator error
Common relational database design encouraged a practice called
Parallelization
Rationalization
Pipelining
Normalization
Relationalization
Relational designation
If Hadoop is imposed on a conventional cloud, it needs to be a cloud designed to run virtual supercomputers in the first place, not a conventional cloud that has been remodeled, repurposed, and reshaped.
True
False
Avoiding epic failure at internet scale mandates the need to understand how distributed systems optimize for availability by
Keeping it simple and keeping it easy because that keeps it reliable
Gradually increasing system complexity as software and hardware continues to evolve & improve
Keeping all analytics real-time or as close to instant access as possible
Ensuring full automation to replace operator error
Scalability is about doing things faster; it is different from enabling the growth of a business and being able to juggle the chainsaws of margins, quality, and cost.
True
False
Big data clusters achieve scalability based on ___________________ and _________________, the same assembly line principles found in fast food kitchens.
Rationalization
Normalization
Relational designation
Pipelining
Relationalization
Parallelism
Choosing margins over markets is a reasonable strategy in tertiary sectors that are mature and not subject to continuous disruption. However, computing technology will remain immature, innovative, and disruptive for some time
True
False
How systems and processes scale is meant for understanding by Big Data system architects. Scalability is irrelevant for barbershops, fast food restaurants, or the global economy. Any business that wants to grow needs to understand financial and market strategy and need not worry about systems concerns like why platforms need to scale.
True
False
The art and craft of platform engineering at internet scale demands three critical tenets:
Focus on batch over real-time
Make everything real-time
Build the platform and then the data
Avoid complexity
Focus on real-time over batch
Optimize everything
Prototype perpetually
Collect the data and then the platform
What is this visualization about?
Hardware Provisioning
Big Data Jobs (Employment)
Employment for those with Hadoop Skills
Hadoop Scalability
Linear Algorithms in Hadoop
Prioritizing the important details and ignoring irrelevant details is one of the most important skills a platform architect can possess.
True
False
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