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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Sharding and Scalability | 10% | - Shard keys, chunk management, balancing - Query routing and cluster operations - Sharded cluster architecture |
| Topic 2: Replication and High Availability | 15% | - Replica set architecture and components - Failover, elections, read/write concern - Deployment and maintenance of replica sets |
| Topic 3: Security and Access Control | 15% | - Role-based access control - Authentication mechanisms - Encryption, auditing, and security best practices |
| Topic 4: CRUD Operations and Indexing | 20% | - Query optimization and aggregation - Index types, creation, and management - Create, Read, Update, Delete operations |
| Topic 5: Backup, Recovery and Maintenance | 10% | - Logical and physical backup methods - Data consistency and integrity checks - Restore procedures and disaster recovery |
| Topic 6: MongoDB Architecture and Deployment | 20% | - Core concepts, JSON/BSON, data model - Storage engines and server management - Installation and configuration |
| Topic 7: Monitoring, Performance and Troubleshooting | 10% | - Monitoring tools and metrics - Performance tuning and optimization - Diagnostics and resolving common issues |
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NEW QUESTION # 38
Write the command(s) are correct to enable sharding on a database "testdb" and shard a collection "testCollection" with _id as shard key.
Answer:
Explanation:
sh.enableSharding("testdb") & sh.shardCollection("testdb.testCollection", {_id : 1 }, true )
NEW QUESTION # 39
In a replica set, a_________number of members ensures that the replica set is always able to select a primary.
Answer: B
NEW QUESTION # 40
In a sharded replicas set environment with multiple mongos servers, which of the following would decide the mongos failover?
Answer: B
NEW QUESTION # 41
What are TWO functions of sharding?
Answer: B,E
Explanation:
Sharding is MongoDB ' s horizontal-scaling mechanism: it partitions a collection ' s data across multiple shards so a deployment can scale storage capacity and distribute query or write workload beyond the limits of one server. That directly supports deployments with very large datasets and high-throughput operations, making C correct. MongoDB also supports zone sharding, which associates ranges of shard-key values with selected shards. Zones can be used to keep particular data near a geographical region, satisfy locality requirements, or map data ranges to hardware tiers, so A is also correct. Option B overstates what sharding itself provides; cross-region consistency behavior depends on replication topology, read/write concerns, latency, and application design rather than simply enabling sharding. Option D describes a deployment that already fits comfortably in memory and meets performance goals, so sharding may add unnecessary operational complexity. Option E primarily describes replication: replica sets maintain redundant copies, provide elections, and improve availability. Production shards are themselves normally replica sets, but redundancy is a replication function rather than the defining purpose of sharding. Therefore the two functions represented here are geographic zone distribution and horizontal scale: A and C.
Study Guide reference/topic:Sharding Strategies and Scalable Deployments - horizontal scaling, large datasets, throughput, shard keys, and zone sharding.
NEW QUESTION # 42
Which is the default mode in which the explain() command runs?
Answer: A
NEW QUESTION # 43
......
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