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| Section | Objectives |
|---|---|
| Replication | - Replica Sets
|
| Sharding | - Cluster Scaling
|
| Philosophy and Features | - MongoDB Architecture
|
| Indexes | - Index Management
|
| Server Administration | - Database Operations
|
| CRUD Operations | - Data Manipulation
|
| Application Administration | - Security and Access Control
|
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NEW QUESTION # 146
In a replica set, which member is responsible for maintaining copies of the primary ' s data?
Answer: D
Explanation:
A replica-set secondary maintains a replicated copy of the primary ' s dataset. The primary records data- changing operations in its oplog, and secondary members continuously copy and apply those oplog entries asynchronously to keep their data synchronized. This redundancy allows an eligible secondary to participate in an election and potentially become primary if the current primary becomes unavailable. mongos, option B, is the query-routing process used in a sharded cluster; it does not store an application dataset copy. An arbiter, option C, participates in replica-set voting and elections but deliberately does not maintain a copy of the database data. A shard, option D, is a data partition in a sharded cluster and is normally implemented as a replica set in production, but "shard" is not the replica-set member role that replicates the primary ' s data.
Secondary behavior is central to MongoDB high availability, read-scaling options, backup strategies, and failover. Administrators monitor secondary replication lag and health to ensure the copies remain sufficiently current. Therefore the member responsible for maintaining copies of the primary ' s data is the secondary, making option A correct.
Study Guide reference/topic:Cluster Reliability and Data Resilience - replica-set primaries, secondaries, oplog replication, and redundancy.
NEW QUESTION # 147
What are TWO functions of sharding?
Answer: D,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 # 148
Below is a sample document of "orders" collection
Answer:
Explanation:
$project
NEW QUESTION # 149
In what format does mongodump creates backup files?
Answer: A
NEW QUESTION # 150
A database administrator notices that operations on the qa database are not completing, and have been in progress for longer than expected.
What command can the administrator run to see information on in-progress operations on the qa database?
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