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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 |
| Sharding and Scalability | 10% | - Sharded cluster architecture - Shard keys, chunk management, balancing - Query routing and cluster operations |
| Backup, Recovery and Maintenance | 10% | - Data consistency and integrity checks - Restore procedures and disaster recovery - Logical and physical backup methods |
| MongoDB Architecture and Deployment | 20% | - Core concepts, JSON/BSON, data model - Storage engines and server management - Installation and configuration |
| Replication and High Availability | 15% | - Failover, elections, read/write concern - Replica set architecture and components - Deployment and maintenance of replica sets |
| CRUD Operations and Indexing | 20% | - Query optimization and aggregation - Index types, creation, and management - Create, Read, Update, Delete operations |
| Security and Access Control | 15% | - Role-based access control - Authentication mechanisms - Encryption, auditing, and security best practices |
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NEW QUESTION # 22
Which of the following is correct about MongoDB?
Answer: A
NEW QUESTION # 23
A MongoDB database administrator needs to improve the performance of the following query:
db.employees.find(
{},
{ name: 1, department: 0, salary: 1 }
).sort({ department: 1, salary: -1 });
What index should the administrator use to achieve this goal?
Answer: B
Explanation:
For a compound index to satisfy a multi-field sort, the indexed fields must occur in the same sequence as the sort specification, and their directions must either match the requested pattern or be the complete reverse of it.
The query sorts by { department: 1, salary: -1 }, so option B exactly matches both the key order and the requested directions. MongoDB can scan that index and return the results already ordered, avoiding a blocking in-memory sort. Option A uses { department: 1, salary: 1 }, which does not match the mixed- direction sort and is not its full inverse. Option D puts name before the two sort keys. Because the query has no equality predicate on name, that leading key prevents the later fields from directly providing the requested global sort. Option C is not a sensible index definition for this workload. Separately, the displayed projection mixes inclusion and exclusion (name:1, salary:1, department:0), which MongoDB normally disallows except for _id; that syntax issue should be corrected independently. It does not change the intended index answer for the sort, which is B.
Study Guide reference/topic:Indexing and Query Optimization - compound indexes, sort support, index prefixes, and key direction.
NEW QUESTION # 24
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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