Big Data, Cloud, and Analytics
Big Data, Cloud and Analytics
MCQ's with solutions
HMT - A leading Indian industrial tool manufacturer imported German made automated tool cutting machine. Post installation, the German vendor offered a Cloud tool for HMT’s app customization support (develop, run and manage) under its guidance with the help of its in-house IT infrastructure for automation improvements needed. Which appropriate Cloud-enabled service helped HMT’s customization?
a.SaaS
b.PaaS
c.IaaS
d.Hybrid
e.Grid Computing
The answer is:
PaaS
GetR - a popular Search Engine with millions of paid subscribers across the globe, deployed an array of storage servers at their highly secured facility in US. At the facility an expert team built an algorithm to distribute data based on Key Value Store (KVS) approach, for load balancing and faster retrieval. Identify the ‘Big Data’ storage consideration employed by GetR.
a.Data read write
b.Big Data in servers
c.Complex Event Processing
d.Scalability
e.Fault tolerance
The answer is:Data read write
Smith’s Toiletries – a global distributor toiletries operating in 30 countries supplying millions goods, deployed ‘Big Data’ enabled dashboards across their supply chain touch points to view real-time delivery updates by field staff. The dashboard displays status of goods in Orange; when there is either missing information or a large delivery delay. Which type of ‘Big Data’ challenge is depicted with change in colour of the dash board of Smith’s Toiletries?
a.Matching the Speed of Results/ Inferences
b.Clear and Comprehensive Understanding of the Data
c.Quality of Data
d.Discrepancies in the Data
e.Inferences about the Data
The answer is:
Discrepancies in the Data
A leading global sports shoe brand subscribes ‘Third Eye’ - a high-definition cloud-based remote shop-floor monitoring system, to view the finished products before packing for visual defects. Which Cloud-enabled service is used by Third Eye?
a.SaaS
b.PaaS
c.IaaS
d.Hybrid
e.Middleware
The answer is:SaaS
Lotte.com – Korean shopping portal with 13 million users and more than 1 million daily visitors, wanted to build an analytical model to study, time spent by each visitor on various pages, checkout failures page load times, to understand why shopping carts are abandoned by customers. Going by the volume and type of data involved, the firm was advised by an expert to upgrade its existing IT infrastructure with higher memory capacity along with parallel processing capability to improve their turnaround time. Which Big Data Challenge will be addressed with expert’s advice at Lotte?
a.Matching the Speed of Results/ Inferences
b.Clear and Comprehensive Understanding of the Data
c.Quality of Data
d.Discrepancies in the Data
e.Inferences about the Data
The answer is:Matching the Speed of Results/ Inferences
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