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MongoDB Updated C100DBA Exam Questions and Answers by peggy

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MongoDB C100DBA Exam Overview :

Exam Name: MongoDB Associate Database Administrator(Based on MongoDB 6.0 and 7.0+)
Exam Code: C100DBA Dumps
Vendor: MongoDB Certification: MongoDB Certified DBA Associate
Questions: 172 Q&A's Shared By: peggy
Question 36

Which of the documents below will be retrieved by the following query? Assume the documents are stored in a collection called " sample " . Check all that apply.

db.sample.find( { " $or " : [ { " a " : { " $in " : [ 3, 10] > }, { " b " : { " $lt " : 2 > > ] > )

Options:

A.

{ ' ' __id " :3, " a " : 4, " c " :0, " b " :14}

B.

{ ' ' _Jd " :7, " a " : 8, " c " :1, " b " :7}

C.

{ " .Jd " :6, " a " : 1, " c " :1, " b " :5}

D.

{ ' ' \Jd " :9, " a " : 17, " c " : 1, " b " : 1}

E.

{ \Jd " :10, " a " : 3, " c " : 1, " b " : 1}

F.

{ " .Jd " :: 2, " a " : 2, " c " :: 0, " b " : 1}

G.

{ " .Jd " :: 4, " a " : 5, " c " :: 0, " b " : 17}

Discussion
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Question 37

Given the following query:

db.load.find({

_id: { $lte: 1000 },

rnd: 1234,

date: { $gte: ISODate( " 2023-01-01 " ) }

}).sort({ date: -1 })

In a compound index that best supports this query, what field should be first field?

Options:

A.

no field

B.

rnd: 1

C.

_id: 1

D.

date: 1

Discussion
Question 38

What read preference should your application use if you want to read from the primary under normal circumstances but allow reads from secondaries when a primary is unavailable?

Options:

A.

secondaryPreferred

B.

Secondary

C.

nearest

D.

primary

E.

primaryPreferred

Discussion
Question 39

Consider that you have a collection called population which has fields state and city. Which of the following query will calculate the population grouped by state and city?

Options:

A.

db.population.aggregate( [{ $group: { _id: { state: " $state " , city; " $city " },pop: { $sum: 1 > > > ] )

B.

db.population.aggregate( [{ $group: { _id: { state: Estate " , city: " $city " },pop: { $pop: 1 } } }] )

C.

db.population.aggregate( [{ $group: { _id: { state: Estate " , city: n$city " },pop: { $sum: " $pop " } } }] )

D.

db.population.aggregate( [{ $group: { _id: { city: " $city " },pop: { $sum: " $pop " } } }] )Multi Document Transaction is not supported by MongoDB

Discussion
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