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MongoDB C100DBA Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: CRUD Operations and Indexing20%- Query optimization and aggregation
- Create, Read, Update, Delete operations
- Index types, creation, and management
Topic 2: Security and Access Control15%- Encryption, auditing, and security best practices
- Authentication mechanisms
- Role-based access control
Topic 3: Backup, Recovery and Maintenance10%- Data consistency and integrity checks
- Logical and physical backup methods
- Restore procedures and disaster recovery
Topic 4: MongoDB Architecture and Deployment20%- Core concepts, JSON/BSON, data model
- Installation and configuration
- Storage engines and server management
Topic 5: Sharding and Scalability10%- Shard keys, chunk management, balancing
- Sharded cluster architecture
- Query routing and cluster operations
Topic 6: Monitoring, Performance and Troubleshooting10%- Performance tuning and optimization
- Diagnostics and resolving common issues
- Monitoring tools and metrics
Topic 7: Replication and High Availability15%- Replica set architecture and components
- Failover, elections, read/write concern
- Deployment and maintenance of replica sets

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q120-Q125):

NEW QUESTION # 120
A user stores movie data in a collection called movies. The collection contains thousands of documents.
A sample document looks like this:
{ " title " : " Titanic " , " year " : 1997, " rating " : 8.6 }
The user runs the following query to sort movies first by year, and then by rating:
db.movies.find().sort({ " year " : 1, " rating " : -1 })
Which index would improve the query ' s performance the MOST?

Answer: D

Explanation:
MongoDB can use a compound index to satisfy a multi-field sort when the sort keys appear in the same sequence as the index keys and the requested directions either match the index pattern or are the exact reverse of the entire pattern. The query sorts by { year: 1, rating: -1 }. Option B defines { year: -1, rating: 1 }, which is the complete inverse, so MongoDB can scan that index backward and produce year ascending with rating descending without a blocking in-memory sort. Option A puts title between year and rating; because there is no equality condition fixing title, the index cannot provide a global ordering by { year, rating } across all titles. Options C and D put rating before year, so their primary index ordering does not match the query ' s primary sort key. For multi-field sorts, field sequence is just as important as direction. Therefore B is the strongest index among the presented choices. A forward index { year: 1, rating: -1 } would also be ideal, but it is not offered.
Study Guide reference/topic:Indexing and Query Optimization - compound index sort order, reverse traversal, and index prefixes.


NEW QUESTION # 121
MongoDB is a schema-less design.

Answer: B


NEW QUESTION # 122
'mongoimport' command is used for

Answer: D


NEW QUESTION # 123
Which command is used to determine storage capacity of specific database?

Answer: B


NEW QUESTION # 124
Dada una coleccion, cuales devuelve con la siguiente query
db.coleccion.find({nombre:"ruben",apellido:"gomez"},{nombre:l,apellido:l,aficion:l});

Answer: A,C


NEW QUESTION # 125
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