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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.
Consider the following statements in connection with deflection-type and null-type instruments: 1. Null-type instruments are more accurate than the deflection-type ones. 2. Null-type of instrument can be highly sensitive compared to a deflection-type instrument. 3. Under dynamic conditions, null-type instruments are less preferred to deflection-type instruments. 4. Response is faster in null-type instruments as compared to deflection-type instruments. Which of the above statements are correct?
Consider the following grammar and the semantic actions to support the inherited type declaration attributes. Let X1, X2, X3, X4, X5 and X6 be the placeholders for the non-terminals D, T, L or L1 in the following table: Production rule Semantic action D → T L X1.type = X2.type T → int T.type = int T → float T.type = float L → L1, id X3.type = X4.type addType(id.entry, X5.type) L → id addType(id.entry, X6.type)   Which one of the following are the appropriate choices for X1, X2, X3 and X4?
Which of these is not an exact numeric type?
In R, how is a factor converted to a numeric vector using the as.numeric() function?
How is a character string converted to a numeric vector in R using the as.numeric() function?
A water tank has two types of inlet pipe viz. Type A and type B. 5 inlet pipes of type A and 25 pipe of type B are opened, the tank is filled in 30 minutes. Whereas it takes 1 hour if 3 pipes of type A and 12 pipes of type B are opened. In how many minutes does empty tank is filled by 8 pipes of type A and 12 pipes of type B.
Cost price of 32 chairs of type A is Rs 992. Cost price of 96 tables of type B is Rs 3264. Sum of selling price of a chair of type B and a table of type B is Rs 132. Profit earned on selling tables of type B is 50 percent. If selling price of a chair of type B is same as the selling price of a chair of type A, on selling 36 chairs of type A how much profit will be
Consider the following grammar (that admits a series of declarations, followed by expressions) and the associated syntax directed translation (SDT) actions, given as pseudo-code: P → D* E* D → int ID {record that ID.lexeme is of type int} D → bool ID { record that ID.lexeme is of type bool} E → E1 + E2 {check that E1.type = E2.type = int; set E.type := int} E → !E1 {check that E1.type = bool; set E.type := bool} E → ID {set E.type := int} With respect to the above grammar; which one of the following choices is correct?
The exact solution of the partial differential equation varies from the exact solution of the discretized equations by ___________