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MongoDB C100DBA Exam Syllabus Topics:

SectionObjectives
Topic 1: Replication and High Availability- Failover and elections
- Replica set architecture
- Read/write concerns
Topic 2: Indexing and Performance Tuning- Index types and usage
- Explain plans and diagnostics
- Query performance optimization
Topic 3: Security- Role-based access control (RBAC)
- Authentication and authorization
- Encryption at rest and in transit
Topic 4: Aggregation Framework- Data transformation and grouping
- Aggregation operators
- Aggregation pipeline stages
Topic 5: MongoDB CRUD Operations- Working with documents and BSON types
- Insert, update, and delete operations
- Querying and filtering documents
Topic 6: Backup, Restore, and Operations- Backup strategies and tools
- Restore procedures
- Monitoring and maintenance
Topic 7: Sharding and Scalability- Sharded cluster architecture
- Shard keys and distribution strategy
- Balancing and scaling operations
Topic 8: Data Modeling- Embedding vs referencing
- Relationships in MongoDB
- Schema design principles

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q117-Q122):

NEW QUESTION # 117
Consider a collection posts which has fields: Jd, post_text, post_author, post_timestamp, post_tags etc.
Which of the following query retrieves ONLY the key named post_text from the first document retrieved?

Answer: D


NEW QUESTION # 118
A collection named scores includes:
[
{ _id: 1, home_score: 6, away_score: [ 5, 7 ] },
{ _id: 2, home_score: [ 8, 6 ], away_score: 9 },
{ _id: 3, home_score: [ 5, 8 ], away_score: [ 9, 6 ] },
{ _id: 4, home_score: 5, away_score: 10 }
]
Given the following index:
db.scores.createIndex( { home_score: 1, away_score: 1 } )
What document will cause the index to fail?

Answer: A

Explanation:
The proposed index is a compound index across home_score and away_score. MongoDB supports compound multikey indexes, but it imposes an important restriction: for any one indexed document, no more than one field covered by the compound index may contain an array. Document 1 is valid because only away_score is an array. Document 2 is also valid because only home_score is an array. Document 4 contains scalar values for both fields. Document 3 contains arrays in both indexed fields: home_score: [5,8] and away_score: [9,6] .
Indexing that document would require a compound multikey index to expand two independent array dimensions, which MongoDB prohibits. Therefore document 3 prevents the compound index from being valid. The restriction is important because a single multikey field already creates multiple index keys per document; allowing multiple independently array-valued keys in the same compound index would create ambiguous and potentially combinatorial key combinations. DBAs designing indexes over document schemas with arrays must understand these multikey constraints before building compound indexes. The failing document is _id:3, making option D correct.
Study Guide reference/topic:Indexing and Query Optimization - multikey indexes, compound multikey restrictions, and array-valued fields.


NEW QUESTION # 119
Consider that our posts collection contains an array field called tags that contains tags that the user enters. {

Which of the following commands will find all the posts that have been tagged as tutorial.

Answer: D


NEW QUESTION # 120
What is the use of mongodump and mongorestore tools?

Answer: D


NEW QUESTION # 121
Which is the default mode in which the explain() command runs?

Answer: C


NEW QUESTION # 122
......

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