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| Section | Objectives |
|---|---|
| Topic 1: Replication and High Availability | - Replica set architecture - Failover and elections - Read/write concerns |
| Topic 2: Aggregation Framework | - Aggregation pipeline stages - Data transformation and grouping - Aggregation operators |
| Topic 3: MongoDB CRUD Operations | - Working with documents and BSON types - Querying and filtering documents - Insert, update, and delete operations |
| Topic 4: Indexing and Performance Tuning | - Explain plans and diagnostics - Index types and usage - Query performance optimization |
| Topic 5: Backup, Restore, and Operations | - Monitoring and maintenance - Backup strategies and tools - Restore procedures |
| Topic 6: Security | - Authentication and authorization - Role-based access control (RBAC) - Encryption at rest and in transit |
| Topic 7: Sharding and Scalability | - Sharded cluster architecture - Balancing and scaling operations - Shard keys and distribution strategy |
| Topic 8: Data Modeling | - Embedding vs referencing - Schema design principles - Relationships in MongoDB |
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NEW QUESTION # 63
What is the correct read preference option to direct all read operations to the secondary?
Answer: B
Explanation:
MongoDB read preference controls which replica-set members are eligible to serve read operations. The mode secondary sends reads only to eligible secondary members. If no suitable secondary is available, the read fails rather than falling back to the primary. That strict behavior is exactly what the question asks for.
secondaryPreferred, option A, normally routes reads to secondaries but can use the primary when no suitable secondary is available, so it does not guarantee that every read is served by a secondary. Options B and C are not valid MongoDB read preference mode names. Secondary reads are useful for specific workloads, but DBAs must account for asynchronous replication: a secondary can lag the primary, so data returned from a secondary may be stale relative to the latest acknowledged primary write. MongoDB provides additional controls such as tag sets and maximum staleness settings to restrict which secondary members are considered acceptable. When the explicit requirement is to direct all reads away from the primary and exclusively to secondary members, secondary is the correct read preference. Therefore option D is correct.
Study Guide reference/topic:Cluster Reliability and Data Resilience - replica-set read preferences, secondary reads, and staleness.
NEW QUESTION # 64
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 # 65
What attribute of the oplog ensures consistency in a replicated dataset?
Answer: D
Explanation:
MongoDB describes oplog operations as idempotent. An idempotent operation can be reapplied without causing an unintended cumulative change beyond the intended final state. This property is important for replication and recovery because secondary members copy and apply oplog entries, and operational processes may need to reason safely about replay. MongoDB can represent client write activity in oplog-friendly forms specifically to preserve appropriate replication semantics. Natural ordering is relevant to the capped collection structure of the oplog, but it is not the attribute identified by the question as providing safe repeatable application behavior. Concurrency control governs simultaneous operations and storage-engine coordination rather than the defining form of oplog entries. Flow control is a replica-set mechanism that can regulate the primary ' s write throughput when replication lag threatens majority-commit behavior; it does not make individual oplog entries safe to replay. The idempotent nature of oplog operations supports deterministic replication and contributes to consistent secondary state as operations are applied in sequence. Therefore the correct attribute among the options is Idempotent, making D correct.
Study Guide reference/topic:Cluster Reliability and Data Resilience - the oplog, idempotent replication operations, replay, and consistency.
NEW QUESTION # 66
You perform the following query on the sayings collection, which has the index
{ quote : "text" }:
Assuming the documents below are in the collection, which ones will the following query return? Check all that apply.
db.sayings.find( { $text : { $search : "fact find" } } )
Answer: A,B
NEW QUESTION # 67
Which TWO mongosh commands can be used to shutdown the mongod daemon?
Answer: A,D
Explanation:
MongoDB supports a clean server shutdown through the shutdown administrative command and through the mongosh helper db.shutdownServer(). Option A uses db.adminCommand({ shutdown: 1 }), which executes the shutdown command against the admin database and requests an orderly termination of the server process.
Option D explicitly switches to the admin database and calls db.shutdownServer(), the documented shell helper that wraps the same administrative behavior. Option B uses killOp, which terminates a specific database operation identified by an operation ID; port 27017 is not an operation ID and killing an operation is not equivalent to shutting down mongod. Option C uses killAllSessions, which ends logical sessions but leaves the server process running. A controlled shutdown is preferred over abruptly terminating the process because MongoDB can close resources and complete its shutdown procedures cleanly. In replica-set deployments, administrators should also consider whether the member is primary and whether a planned step- down is appropriate before maintenance. Among the commands shown, A and D are the two valid mongosh- based shutdown mechanisms.
Study Guide reference/topic:MongoDB Architecture and Core Operations - clean server shutdown, admin commands, and db.shutdownServer().
NEW QUESTION # 68
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