MODULE 4 - MBA 703 (SADHYA) EXAM
WITH GRADE A+ SOLUTIONS
The vthird vcomp9onent vof van vinformation vsystem v- v vcorrect vanswer-Data
Data v- v vcorrect vanswer-the vraw vfacts, vand vmay vbe vdevoid vof vcontext vor vintent.
vCan vbe vquantitative v(numerical) vor vqualitative v(descriptive)
Information v- v vcorrect vanswer-Processed vdata vthat vpossess vcontext, vrelevance,
vand
purpose.
involves vthe vmanipulation vof vraw vdata vto vobtain van
indication vof vmagnitude, vtrends, vin vpatterns vin vthe vdata vfor va vpurpose
Knowledge v- v vcorrect vanswer-Human vbeliefs vor vperceptions vabout vrelationships
vamong vfacts vor vconcepts vrelevant vto vthat varea.
information vthat vfacilitates vaction: vcan vbe vused vto vmake vdecisions, vset vpolicies,
vand veven vspark vinnovation
, Explicit vknowledge v- v vcorrect vanswer-Refers vto vknowledge vthat vcan vbe
vexpressed vinto vwords vor vnumbers
Tacit vknowledge v- v vcorrect vanswer-includes vinsights vand vintuitions, vand vis
vdifficult vto vtransfer vto vanother vperson vby vmeans vof vsimple vcommunications
Wisdom v- v vcorrect vanswer-the vcombination vof vknowledge vand vexperience vto
vproduce va vdeeper vunderstanding vof va vtopic.
2 vtypes vof vknowledge v- v vcorrect vanswer-explicit vand vtacit
Big vData v- v vcorrect vanswer-Massively vlarge vdata vsets vthat vconventional vdata
vprocessing vtechnologies vdo vnot vhave vsufficient vpower vto vanalyze vthem.
Goal vof vmany vISs v- v vcorrect vanswer-transform vdata vinto vinformation vin vorder vto
vgenerate vknowledge vthat vcan vbe vused vfor vdecision vmaking
Common vdefects vin vdata vresource vmanagement v- v vcorrect vanswer-1. vNo vcontrol
vof vredundant vdata v(challenging vupdates)
2. vViolation vof vdata vintegrity v(consistency vamong vthe vstored vdata)
3. vRelying von vhuman vmemory vto vstore vand vto vsearch vneeded vdata
database v- v vcorrect vanswer-a vcollection vof vorganized vdata vthat vallows vaccess,
vretrieval, vand vuse vof vdata
a vspreadsheet vdoes vnot vreplace vthis, vbut vcan vbe va vgood vtool vor vanalyzing
vstored vdata
data vmodel vof va vdatabase v- v vcorrect vanswer-The vlogical vstructure vof vdata vitems
vand vtheir vrelationships.
Types:
1. vrelational vdatabase v(most vused)
2.Hierarchal vdatabase
3. vdocument-centric vdatabase
4. vNoSQL vdatabase
Relational vdatabase v- v vcorrect vanswer-Data vis vorganized vinto vtables v(or
vrelations). vEach vtable vhas va vset vof vfields v(columns) vwhich vdefine vthe vstructure
vof vthe vdata vstored vin vthe vtable. v
A vrecord vis vone vinstance vof va vset vof vfields v(row vor vtuple) vin va vtable. v
Every vtable vin vthe vdatabase vshould vhave va vfield vin vcommon vwith vat vleast vone
vother vtable v(in vother vwords, vthey vshould vhave vrelationships vwith veach vother)
Primary vKey v- v vcorrect vanswer-A vfield v(or vgroup vof vfields) vthat vuniquely
videntifies va vgiven ventity vin va vtable. v- vthe vunique videntifier.
WITH GRADE A+ SOLUTIONS
The vthird vcomp9onent vof van vinformation vsystem v- v vcorrect vanswer-Data
Data v- v vcorrect vanswer-the vraw vfacts, vand vmay vbe vdevoid vof vcontext vor vintent.
vCan vbe vquantitative v(numerical) vor vqualitative v(descriptive)
Information v- v vcorrect vanswer-Processed vdata vthat vpossess vcontext, vrelevance,
vand
purpose.
involves vthe vmanipulation vof vraw vdata vto vobtain van
indication vof vmagnitude, vtrends, vin vpatterns vin vthe vdata vfor va vpurpose
Knowledge v- v vcorrect vanswer-Human vbeliefs vor vperceptions vabout vrelationships
vamong vfacts vor vconcepts vrelevant vto vthat varea.
information vthat vfacilitates vaction: vcan vbe vused vto vmake vdecisions, vset vpolicies,
vand veven vspark vinnovation
, Explicit vknowledge v- v vcorrect vanswer-Refers vto vknowledge vthat vcan vbe
vexpressed vinto vwords vor vnumbers
Tacit vknowledge v- v vcorrect vanswer-includes vinsights vand vintuitions, vand vis
vdifficult vto vtransfer vto vanother vperson vby vmeans vof vsimple vcommunications
Wisdom v- v vcorrect vanswer-the vcombination vof vknowledge vand vexperience vto
vproduce va vdeeper vunderstanding vof va vtopic.
2 vtypes vof vknowledge v- v vcorrect vanswer-explicit vand vtacit
Big vData v- v vcorrect vanswer-Massively vlarge vdata vsets vthat vconventional vdata
vprocessing vtechnologies vdo vnot vhave vsufficient vpower vto vanalyze vthem.
Goal vof vmany vISs v- v vcorrect vanswer-transform vdata vinto vinformation vin vorder vto
vgenerate vknowledge vthat vcan vbe vused vfor vdecision vmaking
Common vdefects vin vdata vresource vmanagement v- v vcorrect vanswer-1. vNo vcontrol
vof vredundant vdata v(challenging vupdates)
2. vViolation vof vdata vintegrity v(consistency vamong vthe vstored vdata)
3. vRelying von vhuman vmemory vto vstore vand vto vsearch vneeded vdata
database v- v vcorrect vanswer-a vcollection vof vorganized vdata vthat vallows vaccess,
vretrieval, vand vuse vof vdata
a vspreadsheet vdoes vnot vreplace vthis, vbut vcan vbe va vgood vtool vor vanalyzing
vstored vdata
data vmodel vof va vdatabase v- v vcorrect vanswer-The vlogical vstructure vof vdata vitems
vand vtheir vrelationships.
Types:
1. vrelational vdatabase v(most vused)
2.Hierarchal vdatabase
3. vdocument-centric vdatabase
4. vNoSQL vdatabase
Relational vdatabase v- v vcorrect vanswer-Data vis vorganized vinto vtables v(or
vrelations). vEach vtable vhas va vset vof vfields v(columns) vwhich vdefine vthe vstructure
vof vthe vdata vstored vin vthe vtable. v
A vrecord vis vone vinstance vof va vset vof vfields v(row vor vtuple) vin va vtable. v
Every vtable vin vthe vdatabase vshould vhave va vfield vin vcommon vwith vat vleast vone
vother vtable v(in vother vwords, vthey vshould vhave vrelationships vwith veach vother)
Primary vKey v- v vcorrect vanswer-A vfield v(or vgroup vof vfields) vthat vuniquely
videntifies va vgiven ventity vin va vtable. v- vthe vunique videntifier.
