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MongoDB C100DBA Exam Syllabus Topics:

SectionObjectives
Indexing and Performance Tuning- Explain plans and diagnostics
- Index types and usage
- Query performance optimization
Data Modeling- Embedding vs referencing
- Schema design principles
- Relationships in MongoDB
Replication and High Availability- Read/write concerns
- Failover and elections
- Replica set architecture
Backup, Restore, and Operations- Backup strategies and tools
- Restore procedures
- Monitoring and maintenance
MongoDB CRUD Operations- Querying and filtering documents
- Insert, update, and delete operations
- Working with documents and BSON types
Aggregation Framework- Data transformation and grouping
- Aggregation pipeline stages
- Aggregation operators
Sharding and Scalability- Sharded cluster architecture
- Shard keys and distribution strategy
- Balancing and scaling operations
Security- Authentication and authorization
- Encryption at rest and in transit
- Role-based access control (RBAC)

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q153-Q158):

NEW QUESTION # 153
Consider the following posts document:

Which of the following queries will return the documents but with only the first two tags in the tags array?

Answer: A


NEW QUESTION # 154
What encoded format does MongoDB store documents in?

Answer: D

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 # 155
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?