a) Timeliness b) Completeness c) Continuity d) Consistency
a) Randomly choose k units from the dataset as the initial cluster means b) Calculate the distances between the clusters. c) Generate the dendrogram for the clusters. d) Find the total number of objects.
a) Take the partial derivative with respect to each β coefficient b) Equate all independent variables to 0 c) Equate each β coefficient to 0 d) Take the partial derivative with respect to each independent variable
Which of the following term will you add in the equation to include the interaction between X1 and X2? a) X1+x2 b) X1*X2 c) X1/X2 d) X1*X1+X2*X2
b) Manipulate data c) Integrate data d) All of the above
a) Estimating the known model parameters, usually by the method of least squares. b) Estimating the unknown model parameters, usually by the method of least squares. / |

Estimating the unknown model parameters, usually by the method of highest squares

None of the above

**Question 7:- **Which of these forecasting techniques are subjective in nature?

Quantitative

Qualitative

Both a and b

- None of the above

**Question 8:- **In which of these areas is forecasting primarily important?

Operations

Marketing

Demography

All of the above

**Question 9:- **The a priori property states that if an itemset Z is not frequent, then adding another item A to the itemset Z will not make Z more frequent

FALSE

TRUE

May be either a or b

Not coming in preview of apriority property rules

**Question 10:- **Which of these can the generalized rule induction (GRI) handle as inputs?

Categorical variable

Numerical variable

Both a and b

None of the above

**Question 11:- **A model may be descriptive or inferential.

Yes

No

All models are statistical

None of the above

**Question 12:- **Which of these best define a model?

A global description or explanation of a data set, taking a high level perspective.

Local features of the data

Insight drawn from a series of data

Visualization of data related to various categories

**Question 13:- **Association rule mining can be applied either in a supervised or an unsupervised manner. 1 True , 2

TRUE

False

Both a and b

Unsupervised variable is applied on No target variable

/

a) Columnar and key-value pair b) RDBMS and NoSQL c) Columnar and document databases d) Risk and MongoDB
b) Network Layer c) Security Layer d) Organizing data services and tools layer
b) Bluefin c) Splunk d) Myrrix
b) Extract, transform, and load (ETL) c) Workflow services d) All of the above
b) Scatter plots c) Both a and b d) None of the above
b) Outliers c) Redundant fields d) All of the above
b) Volume c) Serial dependence d) Stationary |

/

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