2026 C100DBA: Useful MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Printable PDF

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MongoDB C100DBA Exam Syllabus Topics:

SectionObjectives
Topic 1: Server Administration- Database Operations
  • 1. Monitoring
  • 2. Storage Management
  • 3. Configuration Management
  • 4. Backup and Restore
Topic 2: CRUD Operations- Data Manipulation
  • 1. Delete Operations
  • 2. Read Queries
  • 3. Update Operations
  • 4. Insert Operations
Topic 3: Replication- Replica Sets
  • 1. Write Concerns
  • 2. Primary and Secondary Nodes
  • 3. Elections
  • 4. Read Preferences
Topic 4: Philosophy and Features- MongoDB Architecture
  • 1. High Availability Concepts
  • 2. Collections and Databases
  • 3. Document Model
  • 4. Scalability Concepts
Topic 5: Application Administration- Security and Access Control
  • 1. Authorization
  • 2. Authentication
  • 3. User Management
  • 4. Role-Based Access Control
Topic 6: Indexes- Index Management
  • 1. Query Performance Optimization
  • 2. Compound Indexes
  • 3. Single Field Indexes
  • 4. Index Selection
Topic 7: Sharding- Cluster Scaling
  • 1. Query Routing
  • 2. Balancer Operations
  • 3. Chunk Distribution
  • 4. Shard Keys

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q36-Q41):

NEW QUESTION # 36
Given a collection posts as shown below having a document array comments, which of the following command will create an index on the comment author descending?

Answer: B


NEW QUESTION # 37
What stage of the Winning Plan in an Explain Result identifies the Index Key for the query pattern?

Answer: A

Explanation:
When MongoDB ' s winning query plan uses a B-tree index, the plan includes an IXSCAN stage. That stage contains the index-specific information a DBA needs to identify how the query is being serviced, including the key pattern, index name, traversal direction, and index bounds. For example, keyPattern can show a compound definition such as { status: 1, createdAt: -1 }, making it straightforward to confirm which indexed keys participate in the chosen plan. A FETCH stage indicates that MongoDB is retrieving full documents, often after an index has produced candidate record identifiers; the fetch stage itself does not identify the index key. A COLLSCAN stage means MongoDB is scanning the collection and therefore is not using a normal index scan for the predicate. GROUP is unrelated to index selection. Effective DBA query analysis usually involves inspecting both queryPlanner.winningPlan and execution statistics such as totalKeysExamined, totalDocsExamined, and nReturned. But for the narrow question of which stage exposes the index key used by the winning plan, IXSCAN is the correct answer. Therefore option C is correct.
Study Guide reference/topic:Indexing and Query Optimization - explain output, winning plans, IXSCAN, key patterns, and index bounds.


NEW QUESTION # 38
Consider the following example document from the sample collection. All documents in this collection have the same schema.

Which of the following queries will replace this with the document.

Answer: D


NEW QUESTION # 39
Which TWO commands can be used to check for all active operations on the current node?

Answer: A,D

Explanation:
db.currentOp() is the mongosh helper used to inspect operations currently executing on a MongoDB server.
Passing true requests a broad view that includes all in-progress operations as well as additional idle/system entries, so it can be used when the administrator wants to see the complete current-operation picture. The database-command form, db.adminCommand({ currentOp: true }), invokes the corresponding administrative command and is also valid for obtaining in-progress operation information. Option A adds a filter restricting the result to operations whose op field is " command " ; it therefore does not represent all operation types.
Option B is not valid currentOp command syntax, and option E uses an all field that is not the documented special form for this helper. In modern MongoDB administration, the $currentOp aggregation stage is generally preferred for richer filtering and aggregation, but the question is testing the traditional helper and command interfaces. Therefore, C and D are the two valid choices among those presented.
Study Guide reference/topic:Performance Monitoring and Tuning - current operations, currentOp, and administrative diagnostics.


NEW QUESTION # 40
What feature is one of the differences between using MongoDB and a relational database management system (RDBMS) database?

Answer: C

Explanation:
MongoDB ' s flexible document schema is a defining distinction from the conventional fixed-table model associated with relational database systems. Documents in the same MongoDB collection can contain different fields, nested structures, arrays, or representations when the application domain requires that flexibility. MongoDB can still enforce schema rules through validation, so a flexible schema does not mean the absence of governance; it means the physical model is not inherently restricted to one rigid row structure for every record. The other choices are not sufficiently distinguishing. Relational database platforms can provide replication, authentication, and horizontal partitioning or sharding techniques, so those capabilities are not unique architectural differences. MongoDB ' s BSON document model also allows data that is commonly normalized across multiple relational tables to be embedded within one application-oriented document where that design is appropriate. This can reduce joins and map more naturally to object structures used by applications. DBAs must still choose schemas carefully based on access patterns, document growth, duplication, and consistency requirements. Among the choices, Flexible Schema most accurately represents a fundamental MongoDB-versus-RDBMS difference, so option D is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - document databases, BSON data modeling, flexible schemas, and relational-model differences.


NEW QUESTION # 41
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