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MongoDB C100DBA Exam Syllabus Topics:

Section	Objectives
Topic 1: Indexes	- Index Management 1. Single Field Indexes 2. Index Selection 3. Compound Indexes 4. Query Performance Optimization
Topic 2: Sharding	- Cluster Scaling 1. Query Routing 2. Chunk Distribution 3. Balancer Operations 4. Shard Keys
Topic 3: Replication	- Replica Sets 1. Write Concerns 2. Read Preferences 3. Primary and Secondary Nodes 4. Elections
Topic 4: Philosophy and Features	- MongoDB Architecture 1. Collections and Databases 2. High Availability Concepts 3. Scalability Concepts 4. Document Model
Topic 5: Application Administration	- Security and Access Control 1. Role-Based Access Control 2. Authentication 3. User Management 4. Authorization
Topic 6: CRUD Operations	- Data Manipulation 1. Update Operations 2. Insert Operations 3. Delete Operations 4. Read Queries
Topic 7: Server Administration	- Database Operations 1. Storage Management 2. Configuration Management 3. Monitoring 4. Backup and Restore

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q72-Q77):

NEW QUESTION # 72
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.updateMany({ " color " : " green " }, { " $inc " : { " price " : 5 } })
B. db.products.update({ " color " : " green " }, { $inc: { " price " : 5 } })
C. db.products.update({ " color " : " green " }, { " price " : { " $inc " : 5 } })
D. db.products.updateMany({ " color " : " green " }, { " price " : { " $inc " : 5 } })

Answer: A

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 # 73
You perform the following operation in the shell: db.foo.insert( { } ); What gets inserted?

A. A document that matches the collection's existing schema, but with null fields
B. An empty document
C. A document with an _id assigned to be an Objectld
D. No document will be inserted; an error will be raised
E. A document will be inserted with the same _id as the last document inserted

Answer: C

NEW QUESTION # 74
A department store maintains a clothing collection:
{ " _id " : 1, " item " : " sweater " , " sizes " : [ " XS " , " S " , " L " ] }
{ " _id " : 2, " item " : " t-shirt " , " sizes " : [ " S " , " M " , " L " ] }
{ " _id " : 3, " item " : " vest " , " sizes " : [ " M " , " L " , " XL " , " XXL " ] } An employee runs:
db.clothing.find( { " sizes " : " M " } )
Which index should improve performance for this query the MOST?

A. db.clothing.createIndex( { item: -1 } )
B. db.clothing.createIndex( { _id: 1, sizes: 1 } )
C. db.clothing.createIndex( { sizes: 1 } )
D. db.clothing.createIndex( { item: 1, sizes: 1 } )

Answer: C

Explanation:
The query filters only on the sizes field, so the most direct supporting index is a single-field index on sizes.
Because sizes contains arrays, MongoDB automatically treats the resulting index as a multikey index and creates index entries derived from the array elements. That allows the query { sizes: " M " } to locate matching documents through the index rather than scanning every document in the collection. Option B indexes item, which is not part of the predicate and therefore does not help this query. Option C contains sizes, but _id is the leading key and the query provides no equality restriction on _id; this prevents efficient use of the later key as a standalone prefix for the query. Option D has the same structural problem because item precedes sizes and is not constrained. MongoDB ' s index-prefix rules make a targeted { sizes: 1 } index the strongest choice here. In a real workload, DBAs should also consider write overhead and whether additional queries can share a compound index before creating redundant indexes. For this single query pattern, option A is optimal.
Study Guide reference/topic:Indexing and Query Optimization - multikey indexes, array fields, index prefixes, and query support.

NEW QUESTION # 75
What is the output of following two commands in MongoDB: db. posts. insert({n_id " :l}) db.posts.insert({ "
_id " :l})

A. This will throw a duplicate key error
B. It will insert two documents and throw a warning to the user
C. MongoDB will automatically increment the _id of the second document as 2
D. Two documents will be inserted with _id as 1

Answer: A

NEW QUESTION # 76
In a collection that contains 100 post documents, what does the following command do? db. posts.
find().skip(5).limit(5)

A. Skip and limit nullify each other. Hence returning the first five documents
B. Skips the first five documents and returns the next five
C. Skips the first five documents and returns the sixth document five times
D. Limits the first five documents and then return them in reverse order

Answer: B

NEW QUESTION # 77
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