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| Section | Objectives |
|---|---|
| Topic 1: Indexes | - Index Management
|
| Topic 2: Application Administration | - Security and Access Control
|
| Topic 3: Sharding | - Cluster Scaling
|
| Topic 4: Philosophy and Features | - MongoDB Architecture
|
| Topic 5: CRUD Operations | - Data Manipulation
|
| Topic 6: Server Administration | - Database Operations
|
| Topic 7: Replication | - Replica Sets
|
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NEW QUESTION # 113
In a replica set, which member is responsible for maintaining copies of the primary ' s data?
Answer: A
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 # 114
What does the totalCreated field mean in the output of the db.serverStatus().connections command?
> db.serverStatus().connections
{
" current " : 4,
" available " : 51196,
" totalCreated " : 5,
" active " : 2,
" threaded " : 4,
" exhaustIsMaster " : 1,
" exhaustHello " : 0,
" awaitingTopologyChanges " : 1
}
Answer: A
Explanation:
connections.totalCreated is a cumulative count of incoming connections created during the lifetime of the running MongoDB server process. It includes connections that are still open as well as connections that have already closed. That is why the example can show totalCreated: 5 while current: 4: five connections have been created since the process started, but only four remain current. Option A is incorrect because the counter is not limited to closed connections. Option C corresponds more closely to connections.current, which reports presently existing incoming client connections. Option B is imprecise because "since the server was set up" could imply the lifetime of the installation or deployment across restarts, whereas server-status counters generally reflect the current process lifetime. Tracking totalCreated alongside current, active, and connection- pool behavior helps administrators identify excessive connection churn, poorly configured client pools, or bursts of new connections. The most accurate interpretation among the choices is therefore the number of connections created since the server process was started, making D correct.
Study Guide reference/topic:Performance Monitoring and Tuning - serverStatus, connection metrics, and cumulative connection counters.
NEW QUESTION # 115
What does the following query do when performed on the posts collection? db.posts.update({_id:l},{Title:This is post with ID 1"})
Answer: D
NEW QUESTION # 116
What is the replication factor for a replicated cluster with 1 primary, 3 secondaries with one of them hidden. The set also has an arbiter?
Answer: A
NEW QUESTION # 117
A MongoDB administrator is currently managing a single node MongoDB Enterprise deployment. The administrator is considering setting up replication with a secondary node and a delayed member.
Which TWO reasons align to the objectives of the administrator?
Answer: A,E
Explanation:
Adding replica-set members addresses availability and recovery objectives. A normal secondary maintains a replicated copy of the primary ' s data and can be elected primary if the current primary becomes unavailable, thereby improving service availability compared with a single-node deployment. That directly supports option D: A delayed member intentionally applies oplog entries later than the primary, preserving an older logical state of the dataset for a configured delay period. This can help recover from operator mistakes such as an accidental destructive update or drop operation because the administrator may be able to access the delayed copy before the damaging operation is applied there. That supports option A. A delayed member is not a substitute for long-term archival or a formal backup-retention policy; its recoverable history is constrained by the delay configuration and oplog window, so B is not the intended objective. Option C describes sharding, which partitions data across shards rather than simply replicating it. Encryption at rest is configured independently and is unrelated to adding secondaries or delayed members. Therefore, A and D are the two reasons that align with the proposed replication design.
Study Guide reference/topic:Cluster Reliability and Data Resilience - replica sets, delayed members, failover, and operator-error recovery.
NEW QUESTION # 118
......
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