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MongoDB C100DBA Exam Syllabus Topics:

Section	Weight	Objectives
Replication and High Availability	15%	- Failover, elections, read/write concern - Replica set architecture and components - Deployment and maintenance of replica sets
MongoDB Architecture and Deployment	20%	- Installation and configuration - Core concepts, JSON/BSON, data model - Storage engines and server management
Monitoring, Performance and Troubleshooting	10%	- Diagnostics and resolving common issues - Performance tuning and optimization - Monitoring tools and metrics
CRUD Operations and Indexing	20%	- Query optimization and aggregation - Index types, creation, and management - Create, Read, Update, Delete operations
Backup, Recovery and Maintenance	10%	- Data consistency and integrity checks - Logical and physical backup methods - Restore procedures and disaster recovery
Security and Access Control	15%	- Role-based access control - Encryption, auditing, and security best practices - Authentication mechanisms
Sharding and Scalability	10%	- Shard keys, chunk management, balancing - Sharded cluster architecture - Query routing and cluster operations

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q99-Q104):

NEW QUESTION # 99
When should we consider representing a one-to-many relationship in an embedded collection instead of separate collection?

A. When the many is not very large
B. When the many is very large
C. Always
D. Never

Answer: A

NEW QUESTION # 100
Which of the following operator can be used to control the number of items of an array that a query returns?

A. $
B. $slice
C. $ elemMatch
D. MongoDB does not support partial retrieval of items from an array

Answer: B

NEW QUESTION # 101
What does the following aggregate query perform?

A. Groups the posts by number of likes (101, 102, 103.) by adding 1 every time
B. Calculates the number of posts with likes between 100 and 200
C. Fetches the posts with likes between 100 and 200, sets the _id of the first document as null and then increments it 1 every time
D. Fetches the posts with likes between 100 and 200 and sets their _id as null

Answer: B

NEW QUESTION # 102
What is the maximum size of Index Key Limit and Number of Indexes per collection?

A. 1024 bytes and unlimited indexes
B. 64 bytes and 1024 indexes
C. 1024 bytes and 64 indexes
D. 12 mega bytes and 64 indexes

Answer: C

NEW QUESTION # 103
A database administrator maintains a MongoDB database that stores scientific papers. A paper with DOI
10.1000/xyz123 is no longer relevant and needs to be removed.
What query should the administrator use to delete the paper with the DOI equal to 10.1000/xyz123?

A. db.scientificPapers.drop({ doi: " 10.1000/xyz123 " })
B. db.scientificPapers.deleteOne({ scientificPapers: " orders " }, { doi: " 10.1000/xyz123 " })
C. db.scientificPapers.deleteOne({ doi: " 10.1000/xyz123 " })
D. db.scientificPapers.findOneAndDelete({ scientificPapers: " orders " , doi: " 10.1000/xyz123 " })

Answer: C

Explanation:
db.collection.deleteOne() deletes a single document that matches the supplied filter, so the direct operation is db.scientificPapers.deleteOne({ doi: " 10.1000/xyz123 " }). The DOI is the identifying criterion, and no additional filter is required. Option A is dangerous and incorrect: drop() removes the entire collection and its indexes rather than deleting a filtered document. Option B uses findOneAndDelete(), which can delete a single matching document, but the displayed filter also requires a nonexistent or inappropriate field/value pair, scientificPapers: " orders " , so the target document would not match. Option D misunderstands the method signature. The second argument to deleteOne() is an options document for settings such as write concern, collation, or hint; it is not a second query predicate. In production, a unique index on DOI could also ensure that the business identifier is unique and make the deletion highly selective. Among the presented commands, only option C cleanly and correctly deletes the one scientific-paper document identified by the specified DOI.
Study Guide reference/topic:MongoDB Architecture and Core Operations - delete operations, deleteOne(), filters, and collection management.

NEW QUESTION # 104
......

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