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MongoDB C100DBA Exam Syllabus Topics:

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

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q30-Q35):

NEW QUESTION # 30
What command should a MongoDB database administrator use to find the disk utilization of the order collection?

Answer: B

Explanation:
db.collection.stats() returns statistics for a specific collection, including storage-related values that help a DBA understand that collection ' s disk footprint. Therefore, for a collection named order, db.order.stats() is the relevant command among the choices. The result can include metrics such as logical data size, allocated storage size, document count, index information, and related collection statistics depending on version and storage engine. Option A, db.stats(), reports database-level statistics aggregated across the database rather than isolating the order collection. db.hostInfo(), option C, reports host and operating-system information rather than collection storage consumption. db.serverStatus(), option D, provides broad server-process runtime metrics such as connections, memory, operation counters, replication/storage-engine information, and other health data, but it is not the collection-specific disk-utilization interface requested here. Administrators can also use dedicated helpers such as collection storage-size or total-size methods when they need a more narrowly defined measurement. For a general collection-level statistics query targeting order, however, db.
order.stats() is the correct answer, making option B correct.
Study Guide reference/topic:Performance Monitoring and Tuning - collection statistics, storage utilization, db.
collection.stats(), and database/server metrics.


NEW QUESTION # 31
Which are the ONLY ways to project portions of an array?

Answer: A


NEW QUESTION # 32
What tool should be used to access and administer a MongoDB cluster?

Answer: B

Explanation:
mongosh, the MongoDB Shell, is the interactive command-line environment used to connect to MongoDB deployments and perform administrative and data operations. Through mongosh, a DBA can run CRUD queries, aggregation pipelines, user and role administration, replica-set commands, server diagnostics, index operations, and many other management tasks. mongod, option B, is the MongoDB database server process itself; it stores data and serves requests but is not the interactive administration client. mongostat, option C, is a monitoring utility that reports a concise stream of server activity metrics such as operation rates, memory, connections, and queue information. mongotop, option D, reports time spent reading and writing data by namespace and is likewise a diagnostic utility rather than a general administration shell. DBAs may also use MongoDB Compass, Atlas interfaces, Ops Manager, or automation tooling depending on the deployment, but among these four command-line tools, mongosh is the one intended for broad interactive access and administration. Therefore option A is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - MongoDB Shell, administration tools, server processes, and monitoring utilities.


NEW QUESTION # 33
What encoded format does MongoDB store documents in?

Answer: C

Explanation:
MongoDB stores records as BSON documents. BSON, short for Binary JSON, is a binary serialization format that preserves the JSON-like document model while supporting a richer set of data types required by database applications. Mongosh commonly displays documents using JavaScript or Extended JSON-like notation, which is why JSON is a tempting distractor, but the native stored representation is BSON. BSON supports types such as ObjectId, dates, binary data, timestamps, Decimal128, 32-bit and 64-bit integers, arrays, embedded documents, and other values that standard JSON does not represent natively. Base64 is an encoding technique often used to render binary data as text and is not MongoDB ' s document storage format.
XML is also unrelated to MongoDB ' s native representation. Understanding BSON is fundamental for database administrators because document-size limits, type comparisons, index keys, serialization behavior, and driver interoperability all depend on BSON semantics. The flexible document model allows fields to contain scalar values, nested documents, and arrays within the same record structure. Therefore the encoded format used by MongoDB to store documents is BSON, making option C correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - BSON, document structure, data types, and JSON/BSON distinctions.


NEW QUESTION # 34
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 # 35
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