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| Section | Weight | Objectives |
|---|---|---|
| Monitoring, Performance and Troubleshooting | 10% | - Performance tuning and optimization - Monitoring tools and metrics - Diagnostics and resolving common issues |
| Replication and High Availability | 15% | - Deployment and maintenance of replica sets - Failover, elections, read/write concern - Replica set architecture and components |
| MongoDB Architecture and Deployment | 20% | - Storage engines and server management - Installation and configuration - Core concepts, JSON/BSON, data model |
| Security and Access Control | 15% | - Encryption, auditing, and security best practices - Authentication mechanisms - Role-based access control |
| Backup, Recovery and Maintenance | 10% | - Restore procedures and disaster recovery - Logical and physical backup methods - Data consistency and integrity checks |
| Sharding and Scalability | 10% | - Shard keys, chunk management, balancing - Sharded cluster architecture - Query routing and cluster operations |
| CRUD Operations and Indexing | 20% | - Create, Read, Update, Delete operations - Query optimization and aggregation - Index types, creation, and management |
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質問 # 75
A collection named products contains the following documents:
{ " _id " : 1, " name " : " Laptop " , " price " : 1500 }
{ " _id " : 2, " name " : " Smartphone " , " price " : 800 }
{ " _id " : 3, " name " : " Tablet " , " price " : 600 }
{ " _id " : 4, " name " : " Monitor " , " price " : 300 }
{ " _id " : 5, " name " : " Headphones " , " price " : 200 }
Given the following query:
db.products.find().sort({ " price " : -1 }).limit(2)
What is the expected output?
正解：A
解説：
The query first applies .sort({ price: -1 }). In MongoDB, -1 specifies descending order, so the result stream is ordered from the highest price to the lowest: Laptop at 1500, Smartphone at 800, Tablet at 600, Monitor at
300, and Headphones at 200. The subsequent .limit(2) restricts the cursor to the first two documents in that sorted sequence. Therefore, only Laptop and Smartphone are returned. Option B identifies the two lowest- priced products rather than the highest. Option C reflects the sort but ignores the limit(2) stage. Option D shows the two lowest products in ascending order and therefore contradicts both the requested sort direction and the limit semantics. For a large collection, a single-field index on price could support this sort efficiently because MongoDB can traverse an index in either direction; an ascending index can be scanned backward to satisfy a descending sort and vice versa. The logical query result, however, is independent of whether such an index exists. Option A is the correct output.
Study Guide reference/topic:MongoDB Architecture and Core Operations - cursor sorting, limiting result sets, and query result ordering.
質問 # 76
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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