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MongoDB C100DBA Exam Syllabus Topics:

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

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q50-Q55):

NEW QUESTION # 50
What does the output x of the following MongoDB aggregation query result into; db.posts.aggregate( [ { $group: { _id; "$author", x: { $sum: $likes } } } ] )

A. Sum of likes on all the posts by all the authors
B. Average of likes on all the posts of an author, grouped by author
C. Number of posts by an author
D. Sum of likes on all the posts by an author, grouped by author

Answer: D

NEW QUESTION # 51
What is one purpose of a hidden index?

A. To hide associated documents in the collection.
B. To test the impact of deleting the index without actually deleting it.
C. To reduce the cost of a collection scan.
D. To remove it from $indexStats aggregation stage.

Answer: B

Explanation:
A hidden index remains physically present and continues to be maintained as documents are inserted, updated, or deleted, but the query planner does not consider that index when choosing normal execution plans. This makes hidden indexes especially useful for safely testing whether an index can be removed. An administrator can hide the index and observe production query behavior as though the index were absent. If performance or plan quality degrades, the index can be unhidden immediately without rebuilding it because MongoDB has continued to maintain it in the background. Option A is incorrect because a hidden index is still an index and is not simply removed from index statistics. Option B is also incorrect; hiding an index can actually force collection scans or alternative plans if that index was previously important. Option D misunderstands the feature entirely: hiding an index has no effect on document visibility. Hidden indexes are therefore a risk-reduction mechanism for index lifecycle management, especially before dropping an index in a production environment. Option C accurately states that purpose.
Study Guide reference/topic:Indexing and Query Optimization - hidden indexes, query planner behavior, and safe index-removal testing.

NEW QUESTION # 52
What is the maximum size of a MongoDB document

A. 16 MB
B. 12 MB
C. There is no maximum size. It depends on the RAM.
D. 2 MB

Answer: A

NEW QUESTION # 53
Write the command(s) are correct to enable sharding on a database " testdb " and shard a collection " testCollection " with _id as shard key.

Answer:

Explanation:
sh.enableSharding("testdb") & sh.shardCollection("testdb.testCollection", {_id : 1 }, true )

NEW QUESTION # 54
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. nearest
B. primary
C. secondaryPreferred
D. Secondary
E. primaryPreferred

Answer: E

NEW QUESTION # 55
......

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