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| Section | Objectives |
|---|---|
| Aggregation Framework | - Data transformation and grouping - Aggregation pipeline stages - Aggregation operators |
| Data Modeling | - Schema design principles - Relationships in MongoDB - Embedding vs referencing |
| MongoDB CRUD Operations | - Insert, update, and delete operations - Querying and filtering documents - Working with documents and BSON types |
| Indexing and Performance Tuning | - Explain plans and diagnostics - Index types and usage - Query performance optimization |
| Replication and High Availability | - Read/write concerns - Failover and elections - Replica set architecture |
| Backup, Restore, and Operations | - Monitoring and maintenance - Restore procedures - Backup strategies and tools |
| Security | - Authentication and authorization - Encryption at rest and in transit - Role-based access control (RBAC) |
| Sharding and Scalability | - Shard keys and distribution strategy - Sharded cluster architecture - Balancing and scaling operations |
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NEW QUESTION # 22
Consider the following document from the products collection:
What does the following query using $elemMatch return? db.products.find( { product_code: "345678" }, { variations: { $elemMatch: { size:
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