MongoDB C100DBA Questions [2026] Effectively Get Ready With Real C100DBA Dumps

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| Section | Objectives |
|---|
| Topic 1: Replication | - Replica Sets
- 1. Write Concerns
- 2. Primary and Secondary Nodes
- 3. Read Preferences
- 4. Elections
|
| Topic 2: Sharding | - Cluster Scaling
- 1. Balancer Operations
- 2. Shard Keys
- 3. Chunk Distribution
- 4. Query Routing
|
| Topic 3: Philosophy and Features | - MongoDB Architecture
- 1. Collections and Databases
- 2. Document Model
- 3. Scalability Concepts
- 4. High Availability Concepts
|
| Topic 4: CRUD Operations | - Data Manipulation
- 1. Update Operations
- 2. Read Queries
- 3. Insert Operations
- 4. Delete Operations
|
| Topic 5: Indexes | - Index Management
- 1. Single Field Indexes
- 2. Index Selection
- 3. Compound Indexes
- 4. Query Performance Optimization
|
| Topic 6: Application Administration | - Security and Access Control
- 1. Authorization
- 2. Role-Based Access Control
- 3. User Management
- 4. Authentication
|
| Topic 7: Server Administration | - Database Operations
- 1. Monitoring
- 2. Configuration Management
- 3. Storage Management
- 4. Backup and Restore
|
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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q70-Q75):
NEW QUESTION # 70
Which of the following aggregation commands in MongoDB does not support sharded collections?
- A. aggregate
- B. group
- C. mapReduce
- D. All of the above
Answer: B
NEW QUESTION # 71
Consider the following documents:
You perform the following query;
How many documents will be updated by the query?
Answer: C
NEW QUESTION # 72
In order to ensure that you can maintain high availability in the face of server failure, you should implement which of the following?
- A. Sharding
- B. Put indexes on all of your documents
- C. The proper storage engine
- D. Properly defined user roles
- E. Replication
Answer: E
NEW QUESTION # 73
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. MongoDB does not support partial retrieval of items from an array
- D. $ elemMatch
Answer: B
NEW QUESTION # 74
Given the following query:
db.load.find({
_id: { $lte: 1000 },
rnd: 1234,
date: { $gte: ISODate( " 2023-01-01 " ) }
}).sort({ date: -1 })
In a compound index that best supports this query, what field should be first field?
- A. rnd: 1
- B. date: 1
- C. no field
- D. _id: 1
Answer: A
Explanation:
The rnd field should lead the compound index because it is the query ' s equality predicate. MongoDB ' s common compound-index design rule is Equality, Sort, Range (ESR): fields tested for exact equality are typically placed first, followed by fields used for sorting and then range predicates, subject to workload- specific selectivity considerations. Here, rnd: 1234 is an equality condition. _id: { $lte: 1000 } is a range condition, and date: { $gte: ... } is also a range condition while the query additionally sorts on date. Leading with rnd sharply narrows the index region that must be scanned before MongoDB handles the sort/range dimensions. Starting with _id or date would place a range-oriented key ahead of the exact-match predicate and generally reduce the efficiency of index bounds for this query shape. The complete optimal key pattern may depend on whether avoiding the sort or maximizing range selectivity matters most, but the question asks only for the first field. Under ESR guidance, that first field is rnd, so option B is correct.
Study Guide reference/topic:Indexing and Query Optimization - compound indexes, selectivity, and the Equality-Sort-Range guideline.
NEW QUESTION # 75
......
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