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MongoDB C100DBA Exam Syllabus Topics:

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

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q85-Q90):

NEW QUESTION # 85
What is the output of following two commands in MongoDB: db. posts. insert({n_id":l}) db.posts.insert({"_id":l})

Answer: D


NEW QUESTION # 86
Which of the following are valid json documents? Select all that apply.

Answer: A,B


NEW QUESTION # 87
Which of the following commands will return all the posts with number of likes greater than 100 and less than 200, both inclusive?

Answer: B


NEW QUESTION # 88
Consider an inventory collection that contains these documents:
{ " _id " : 1, " product " : " x-small box " , " colors " : [ " brown " , " black " , " white " ], " qty " : 50 }
{ " _id " : 2, " product " : " small box " , " colors " : [ " brown " , " white " ], " qty " : 60 }
{ " _id " : 3, " product " : " medium box " , " colors " : [ " black " , " grey " , " white " ], " qty " : 45 }
{ " _id " : 4, " product " : " large box " , " colors " : [ " grey " ], " qty " : 50 }
{ " _id " : 5, " product " : " x-large box " , " colors " : [ " grey " , " white " ], " qty " : 10 } What result set does the following query return?
db.inventory.find({
$or: [
{ " product " : " x-small box " },
{
$and: [
{ " qty " : { $ne: 50 } },
{ " colors " : { $nin: [ " brown " ] } }
]
}
]
})

Answer: A

Explanation:
The outer $or returns a document if either branch is true. Document 1 satisfies the first branch because product equals " x-small box " , so it is included regardless of the second branch. The nested $and requires both qty != 50 and the absence of " brown " from the colors array. Document 2 has quantity 60 but contains " brown " , so it fails $nin. Document 3 has quantity 45 and its colors do not include brown, so it satisfies both conditions. Document 4 has no brown but quantity is exactly 50, so it fails $ne: 50. Document 5 has quantity
10 and colors [ ' grey ' , ' white ' ], so it also satisfies both nested predicates. The final set is therefore documents 1, 3, and 5. This question also illustrates that MongoDB applies an implicit AND between multiple top-level field predicates in the same document, but here the explicit $and makes the required conjunction clear. Option D is the only answer containing exactly the matching documents.
Study Guide reference/topic:MongoDB Architecture and Core Operations - logical query operators, $or, $and,
$ne, and $nin.


NEW QUESTION # 89
In a sharded replicas set environment with multiple mongos servers, which of the following would decide the mongos failover?

Answer: B


NEW QUESTION # 90
......

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