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 CS614 FINALTERM SPRING 2011

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Posts : 638
Points : 2155
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Join date : 2010-05-15
Age : 29
Location : islamabad

PostSubject: CS614 FINALTERM SPRING 2011   Fri Jul 15, 2011 9:35 pm

My today CS614- Data Warehousing Paper
Most of the objective were from old papers.
Very less came from mid term course. all subjective from end term
so better to concentrate more on end term papers
40 objective of 1 marks each
5 questions of 2 marks each
5 questions of 3 marks each
3 questions of 5 marks each
subjective questions are as under:-
Issues of cluster index (2)
Define Dense and Sparse index, adv and disadv (3)
Weaknesses of K-mean clustering(3)
Strength and weaknesses of k-mean clustering(5)
Partition Skew Hash(3)
Fixed strategy of standardizing column(2)
Be a diplomat and not technologist(2)
SQL server meta services advantages(3)
Issued faced in data cleansing of AgriDWH(3)
Problems which may face in construction of AgriDWH(3)
Why pilot strategy is recommended for construction of DWH(5)
Purpose of DTS services(5)


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Age : 29
Location : islamabad

PostSubject: Re: CS614 FINALTERM SPRING 2011   Fri Jul 15, 2011 9:56 pm

All MCQs were new only 4 were from past papers.

Q.1: Exlpain anayletic dta application specification in kimbill

Q2: Bisinuss rules are validated using student database in LAB

Q3: 2 real life examples of clustring .

Q4: purposes dta data profiling

Q5: Wwhat issues may accour during data acquisition and cleansing in agriculture case study?

Q6: Meant of classification process,How measure accuracy of classification?

Q7: Data parralism explain with example

Q8: Under wahat condition an operation can be excute in parallel?

Q9: What sorts of objectives metric are use by companies what are possible issues in formulation these
metric? 2 marks

Q10: which script language are used to perfirm complex transformation in DTS pachage? 2 marks

Q11: Cleasing can be break down in Who many steps, write their names?

Q12: What do u mean by “ keep competition hot in ontext of production selection and transformation
while designing a data warehouse “. 2 marks

Q13: Who murge column are selected in case of sort merge? 2 marks

5 marks

5 marks

5 marks

3 marks

3 marks

3 marks

2 marks


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