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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Backup, Recovery and Maintenance | 10% | - Restore procedures and disaster recovery - Data consistency and integrity checks - Logical and physical backup methods |
| Topic 2: Replication and High Availability | 15% | - Replica set architecture and components - Failover, elections, read/write concern - Deployment and maintenance of replica sets |
| Topic 3: MongoDB Architecture and Deployment | 20% | - Installation and configuration - Core concepts, JSON/BSON, data model - Storage engines and server management |
| Topic 4: Monitoring, Performance and Troubleshooting | 10% | - Performance tuning and optimization - Diagnostics and resolving common issues - Monitoring tools and metrics |
| Topic 5: Security and Access Control | 15% | - Authentication mechanisms - Encryption, auditing, and security best practices - Role-based access control |
| Topic 6: CRUD Operations and Indexing | 20% | - Query optimization and aggregation - Create, Read, Update, Delete operations - Index types, creation, and management |
| Topic 7: Sharding and Scalability | 10% | - Shard keys, chunk management, balancing - Query routing and cluster operations - Sharded cluster architecture |
>> C100DBA Certification Test Questions <<
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NEW QUESTION # 148
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: C
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 # 149
A database administrator notices that operations on the qa database are not completing, and have been in progress for longer than expected.
What command can the administrator run to see information on in-progress operations on the qa database?
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