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The following table presents the number of candidates trained by a training centre over 6 years (2001 to 2006). Year Batch 1 Batch 2 Batch 3 Batch 4 Batch 5 2001 75 144 114 102 108 2002 90 126 102 84 126 2003 96 114 75 105 135 2004 105 90 150 90 75 2005 90 75 135 75 90 2006 105 60 165 45 120 The number of candidates trained in Batch 2 in 2001 was what percentage more than the number of candidates trained in Batch 5 in 2005?
Which of the following statements are true?
Statement I Big data refers to no precise quantity, but generally refers to data in the range of Petabytes and Exabyte, i.e. billions to trillions of records, all from various sources. Big data is generated much faster. than traditional data in much larger quantities.
Statement II Big data interests industries because they are able to learn more patterns and curious variances than smaller data sets, with the capability to provide valuable insights into consumer behaviour, weather systems, financial market activity, or other phenomena.
Statement III Various departments and product lines use various applications within most organisations and store data in separate datasets. These separate databases may contain similar data, but data from one data base to another is not always consistent. This is called data silo.
The admission ticket for an Art Gallery bears a password which is changed after every clock hour based on set of words Chosen for each day. The following is an illustration of the code and steps of rearrangement for subsequent clock hours. The Time is 9 a.m. to 3 p.m. Day’s first password: First Batch – 9 a.m. to 10 a.m. is not ready cloth simple harmony burning Second Batch – 10 a.m. to 11 a.m. ready not is cloth burning harmony simple Third Batch – 11 a.m. to 12 noon cloth is not ready simple harmony burning Fourth Batch – 12 noon to 1 p.m. not is cloth ready burning harmony simple Fifth Batch – 1 p.m. to 2 p.m. ready cloth is not simple harmony burning and so on. If the password for 11 a.m. to 12 noon was –“soap shy miss pen yet the she”, what was the password for the First Batch?
The admission ticket for an exhibition bears a password which is changed after every clock hour based on set of words chosen for each day. The following is an illustration of the code and steps of rearrangement for subsequent clock hours. The time is 9 a.m. to 3 p.m. Day's first password : First Batch ----- 9 a.m. to 10 a.m. is not ready cloth simple harmony burning Second Batch ----- 10 a.m. to 11 a.m. ready not is cloth burning harmony simple Third Batch ----- 11 a.m. to 12 noon cloth is not ready simple harmony burning Fourth Batch ----- 12 noon to 1 p.m. not is cloth ready burning harmony simple Fifth Batch ----- 1 p.m. to 2 p.m. ready cloth is not simple harmony burning and so on. If the password for 11 a.m. to 12 noon was --- "soap shy miss pen yet the she", what was the password for the first batch ?
Given below are six sentences of a passage. The first and sixth sentences are given in the beginning as S1 and S6. The middle four-sentence in each have been jumbled up and labelled as P, Q, R and S. You are required to find the proper sequence of the four sentences. S1: The dawn of the information age opened up great opportunities for the beneficial use of data. P: But it is the conflict between the massive scope for progress provided by the digital era and the fear of loss of individual autonomy that is foregrounded in any debates about data protection laws. Q: It also enhanced the perils of unregulated and arbitrary use of personal data. R: It is against this backdrop that the White Paper made public to elicit views from the public on the shape and substance of a comprehensive data protection law assumes significance. S: Unauthorised leaks, hacking and other cyber crimes have rendered databases vulnerable. S6: To some, in this era of Big Data analytics and automated, algorithm-based processing of zettabytes of information, the fear that their personal data may be unprotected may conjure up visions of a dystopian world in which individual liberties are compromised.
Each item consists of six sentences of a passage. The first and sixth sentences are given in the beginning as S1 and S6. The middle four sentences in each have been jumbled up and labelled as P, Q, R and S. You are required to find the proper sequence of the four sentences and markyour response accordingly on the Answer Sheet.
S1 :The dawn of the information age opened up great opportunities for the beneficial use of data.
S6 :To some, in this era of Big Data analytics and automated, algorithm-based processing of zettabytes of information, the fear that their personal data may be unprotected may conjure up visions of a dystopian world in which individual liberties are compromised.
P :But it is the conflict between the massive scope for progress provided by digital era and the fear of loss of individual autonomy that is foregrounded in any debates about data protection laws.
Q : It also enhanced the perils of unregulated and arbitrary use of personal data.
R : It is against this backdrop that the White Paper made public to elicit views from the public on the shape and substance of a comprehensive data protection law assumes significances.
S :Unauthorised leaks, hacking and other cyber crimes have rendered databases vulnerable.
The correct sequence should be
What does the term "data lineage" refer to in the context of big data analytics?
There are two batches A and B of a class. Batch A consists of 44 students and batch B consists of 56 students. The average weight (in kg) of the whole class, if the average weight of batch A is 43 kg and that of batch B is 39 kg, is:
In a school there are three batches of players who play cricket, football and hockey. An incomplete chart of number of students playing an individual sport belonging to an individual batch is displayed in the following table :     Batch I   Batch II   Batch III   Total  Cricket players     8 14  Football players      10 16 Hockey players 6   6 17 Total         Which one of the following is correct ? 
Which of the following is a distributed data processing framework often used for big data analytics in data science?