Unparalleled Reliable C100DBA Exam Tips - Reliable MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Exam Tips

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MongoDB C100DBA Exam Syllabus Topics:

Section	Objectives
Topic 1: Indexing and Performance Tuning	- Explain plans and diagnostics - Index types and usage - Query performance optimization
Topic 2: Aggregation Framework	- Aggregation pipeline stages - Data transformation and grouping - Aggregation operators
Topic 3: MongoDB CRUD Operations	- Insert, update, and delete operations - Working with documents and BSON types - Querying and filtering documents
Topic 4: Data Modeling	- Schema design principles - Embedding vs referencing - Relationships in MongoDB
Topic 5: Backup, Restore, and Operations	- Monitoring and maintenance - Restore procedures - Backup strategies and tools
Topic 6: Sharding and Scalability	- Shard keys and distribution strategy - Balancing and scaling operations - Sharded cluster architecture
Topic 7: Security	- Role-based access control (RBAC) - Authentication and authorization - Encryption at rest and in transit
Topic 8: Replication and High Availability	- Replica set architecture - Failover and elections - Read/write concerns

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q23-Q28):

NEW QUESTION # 23
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?

A. primaryPreferred
B. nearest
C. secondaryPreferred
D. primary
E. Secondary

Answer: A

NEW QUESTION # 24
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: { city: " $city " },pop: { $sum: " $pop " } } }] )Multi Document Transaction is not supported by MongoDB
B. db.population.aggregate( [{ $group: { _id: { state: " $state " , city: " $city " },pop: { $pop: 1 } } }] )
C. db.population.aggregate( [{ $group: { _id: { state: Estate " , city: " $city " },pop: { $sum: " $pop " } }
}] )
D. db.population.aggregate( [{ $group: { _id: { state: Estate " , city: " $city " },pop: { $sum: 1 > > > ] )

Answer: C

NEW QUESTION # 25
Consider a products collection:
{ " _id " : 1, " item " : " t-shirt " , " color " : " red " , " price " : 10 }
{ " _id " : 2, " item " : " sweater " , " color " : " green " , " price " : 20 }
{ " _id " : 3, " item " : " belt " , " color " : " black " , " price " : 15 }
{ " _id " : 4, " item " : " hat " , " color " : " green " , " price " : 12 } What operation modifies the price of all products that have a color value of " green " ?

A. db.products.update({ " color " : " green " }, { $inc: { " price " : 5 } })
B. db.products.update({ " color " : " green " }, { " price " : { " $inc " : 5 } })
C. db.products.updateMany({ " color " : " green " }, { " $inc " : { " price " : 5 } })
D. db.products.updateMany({ " color " : " green " }, { " price " : { " $inc " : 5 } })

Answer: C

Explanation:
The operation must update every matching document and use the $inc update operator with correct syntax.
updateMany() applies the update to all documents matching { color: " green " }. The $inc operator must be the top-level update operator and receive a field-to-amount mapping, so the valid update document is { $inc: { price: 5 } }. Option C satisfies both requirements. The sweater price increases from 20 to 25, and the hat price increases from 12 to 17. Option B uses a syntactically correct $inc expression, but the legacy update() call shown does not explicitly request a multi-document update, so it does not meet the stated requirement to modify all green products. Options A and D place $inc beneath the price field instead of placing $inc at the update-operator level, which is not valid update syntax. $inc operates atomically on each affected document and can be used with positive or negative numeric increments. Therefore, the correct multi-document update is db.products.updateMany({color: " green " }, {$inc:{price:5}}), making C correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - updateMany(), update operators, filters, and $inc.

NEW QUESTION # 26
What is the replication factor for a replicated cluster with 1 primary, 3 secondaries with one of them hidden.
The set also has an arbiter?

A. 0
B. None of the above
C. 1
D. 2

Answer: D

NEW QUESTION # 27
Which of the following is a valid insert statement in mongodb? Select all valid.

A. db.test.insert({x:2,y:"apple"})
B. db.test.insert({x:2},{y:"apple"})
C. db.test.push({x:2,y:"apple"})
D. db.test.insert({"x":2, "y":"apple"})

Answer: A,D

NEW QUESTION # 28
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