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Selected: CS614 100 MCQs
CS101 533 CS201 225 CS301 232 CS302 174 CS304 192 CS401 224 CS402 258 CS403 228 CS408 113 CS411 121 CS502 249 CS504 268 CS601 679 CS604 381 CS605 261 CS607 184 CS609 230 CS610 300 CS614 100 CS703 65

Questions

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Code Question Option A Option B Option C Option D Answer
CS614
People That Design And Build The Data Warehouse Must Be Capable Of Working Across The Organization At All Levels
True
False
Na
Na
A
CS614
Pipeline Parallelism Focuses On Increasing Throughput Of Task Execution Not On __________ Sub-Task Execution Time
Increasing
Decreasing
Maintaining
None Of These
B
CS614
Pre-Computed Can Solve Performance Problems
Aggregates
Facts
Dimensions
Horizontal
A
CS614
Pre-Join Technique Is Used To Avoid
Run Time Join
Compile Time Join
Load Time Join
None Of These
A
CS614
Relational Databases Allow You To Navigate The Data In __________ That Is Appropriate Using The Primary Foreign Key Structure Within The Data Model
Only One Direction
Any Direction
Two Direction
None Of These
B
CS614
Slice And Dice Is Changing The View Of The Data
True
False
Na
Na
A
CS614
Taken Jointly The Extract Programs Or Naturally Evolving Systems Formed A Spider Web Also Known As
Distributed Systems Architecture
Legacy Systems Architecture
Online Systems Architecture
Intranet Systems Architecture
B
CS614
The ___________ Is Only A Small Part In Realizing The True Business Value Buried Within The Mountain Of Data Collected And Stored Within Organizations Business Systems And Operational Databases
Independence On Technology
Dependence On Technology
Both
None Of These
B
CS614
The Automated Prospective Analyses Offered By Data Mining Move Beyond The Analyses Of Past Events Provided By __________ Tools Typical Of Decision Support Systems
Introspective
Intuitive
Reminiscent
Retrospective
D
CS614
The Automated Prospective Analyses Offered By Data Mining Move Beyond The Analysis Of Past Events Provided By Respective Tools Typical Of __________
Oltp
Olap
Decision Support Systems
None Of These
A
CS614
The Degree Of Similarity Between Two Records Often Measured By A Numerical Value Between Usually Depends On Application Characteristics
0 And 1
0 And 10
0 And 99
0 And 100
A
CS614
The Divide&Conquer Cube Partitioning Approach Helps Alleviate The __________ Limitations Of Molap Implementation
Flexibility
Maintainability
Security
Scalability
D
CS614
The Goal Of __________ Is To Look At As Few Blocks As Possible To Find The Matching Records(S)
Indexing
Partitioning
Joining
None Of These
A
CS614
The Goal Of Ideal Parallel Execution Is To Completely Parallelize Those Parts Of A Computation That Are Not Constrained By Data Dependencies. The The Portion Of The Program That Must Be Executed Sequentially The Greater The Scalability Of The
Computation Larger
Computation Smaller
Computation Unambiguous
Computation Superior
B
CS614
The Goal Of Is To Look At As Few Block As Possible To Find The Matching Records. Indexing Partitioning
Joining
None Of These
Nested Loop Join
None Of These
C
CS614
The Goal Of Star Schema Design Is To Simplify __________
Logical Data Model
Physical Data Model
Conceptual Data Model
None Of These
B
CS614
The Input To The Data Warehouse Can Come From Oltp Or Transactional System But Not From Other Third Party Database
True
False
Na
Na
B
CS614
The Key Idea Behind __________ Is To Take A Big Task And Break It Into Subtasks That Can Be Processed Concurrently On A Stream Of Data Inputs In Multiple Overlapping Stages Of Execution
Pipeline Parallelism
Overlapped Parallelism
Massive Parallelism
Distributed Parallelism
A
CS614
The Kimball S Iterative Data Warehouse Development Approach Drew On Decades Of Experience To Develop The __________
Business Dimensional Lifecycle
Data Warehouse Dimension
Business Definition Lifecycle
Olap Dimension
A
CS614
The Most Recent Attack Is The __________ Attack On The Cotton Crop During 2003- 04 Resulting In A Loss Of Nearly 0.5 Million Bales
Boll Worm
Purple Worm
Blue Worm
Cotton Worm
A