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MongoDB C100DBA Exam Syllabus Topics:

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

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Actual MongoDB C100DBA Exam Questions and Answers

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q100-Q105):

NEW QUESTION # 100
When should we consider representing a one-to-many relationship in an embedded collection instead of separate collection?

Answer: D


NEW QUESTION # 101
'$set' sets the value of

Answer: C


NEW QUESTION # 102
Which of the following are valid json documents? Select all that apply.

Answer: C,D


NEW QUESTION # 103
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: B

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 # 104
Which of the following collections stores authentication credentials in MongoDB?

Answer: A


NEW QUESTION # 105
......

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