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The topics covered in the C100DBA exam include database architecture, data modeling, scalability, availability, security, backup and recovery, performance tuning, and monitoring. C100DBA Exam also tests the ability of candidates to use MongoDB tools such as the mongo shell, MongoDB Compass, and MongoDB Atlas.

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To take the MongoDB C100DBA Exam, candidates are required to have a solid understanding of database concepts, including data modeling and schema design, indexing, replication, and sharding. They should also be familiar with MongoDB's query language and have experience working with MongoDB tools such as Compass, mongodump, and mongorestore. Additionally, candidates should have hands-on experience with database administration tasks such as backup and recovery, security and authentication, and performance tuning.

MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q40-Q45):

NEW QUESTION # 40
Below is a sample document of "orders" collection

A. $project

Answer: A

NEW QUESTION # 41
Which of the following collections stores authentication credentials in MongoDB?

A. users.users
B. system.users
C. local.users
D. test.users

Answer: B

NEW QUESTION # 42
What " stage " indicates that no indexes were available for a query pattern?

A. FETCH
B. GROUP
C. COLLSCAN
D. IXSCAN

Answer: C

Explanation:
In MongoDB explain output, a COLLSCAN stage means the winning plan is scanning documents in the collection rather than traversing a suitable index. This is the clearest indicator that the query is not being serviced by a normal index scan for the relevant predicate. By contrast, IXSCAN explicitly indicates an index scan and typically includes details such as the index key pattern, direction, and bounds. A FETCH stage represents retrieval of full documents, often after an index has already identified candidate record locations; its presence does not imply that no index was used. GROUP relates to grouping behavior and is not the stage used to identify missing index support. A collection scan is not automatically wrong: for tiny collections or queries that return most documents, it can be efficient. However, on large collections with selective predicates, repeated COLLSCAN plans are a strong signal that the DBA should evaluate indexing.
Administrators should compare totalDocsExamined, totalKeysExamined, execution time, and the winning
/rejected plans before deciding to add an index. For the terminology tested by the question, COLLSCAN is the correct stage, so C is correct.
Study Guide reference/topic:Indexing and Query Optimization - explain plans, COLLSCAN, IXSCAN, and missing index diagnostics.

NEW QUESTION # 43
In a sharded cluster, from which node does one stop the balancer process before initiating backup?

A. config server node
B. Any node
C. replicaset primary node
D. mongos node

Answer: D

NEW QUESTION # 44
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?

A. db.population.aggregate( [{ $group: { _id: { state: " $state " , city: " $city " },pop: { $pop: 1 } } }] )
B. db.population.aggregate( [{ $group: { _id: { city: " $city " },pop: { $sum: " $pop " } } }] )Multi Document Transaction is not supported by MongoDB
C. db.population.aggregate( [{ $group: { _id: { state: Estate " , city: " $city " },pop: { $sum: 1 > > > ] )
D. db.population.aggregate( [{ $group: { _id: { state: Estate " , city: " $city " },pop: { $sum: " $pop " } }
}] )

Answer: D

NEW QUESTION # 45
......

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