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| Section | Objectives |
|---|---|
| Topic 1: Backup, Restore, and Operations | - Monitoring and maintenance - Restore procedures - Backup strategies and tools |
| Topic 2: Sharding and Scalability | - Balancing and scaling operations - Sharded cluster architecture - Shard keys and distribution strategy |
| Topic 3: Replication and High Availability | - Read/write concerns - Replica set architecture - Failover and elections |
| Topic 4: Indexing and Performance Tuning | - Query performance optimization - Index types and usage - Explain plans and diagnostics |
| Topic 5: Security | - Encryption at rest and in transit - Authentication and authorization - Role-based access control (RBAC) |
| Topic 6: MongoDB CRUD Operations | - Working with documents and BSON types - Querying and filtering documents - Insert, update, and delete operations |
| Topic 7: Aggregation Framework | - Data transformation and grouping - Aggregation pipeline stages - Aggregation operators |
| Topic 8: Data Modeling | - Embedding vs referencing - Relationships in MongoDB - Schema design principles |
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NEW QUESTION # 159
What command should a MongoDB database administrator use to find the disk utilization of the order collection?
Answer: B
Explanation:
db.collection.stats() returns statistics for a specific collection, including storage-related values that help a DBA understand that collection ' s disk footprint. Therefore, for a collection named order, db.order.stats() is the relevant command among the choices. The result can include metrics such as logical data size, allocated storage size, document count, index information, and related collection statistics depending on version and storage engine. Option A, db.stats(), reports database-level statistics aggregated across the database rather than isolating the order collection. db.hostInfo(), option C, reports host and operating-system information rather than collection storage consumption. db.serverStatus(), option D, provides broad server-process runtime metrics such as connections, memory, operation counters, replication/storage-engine information, and other health data, but it is not the collection-specific disk-utilization interface requested here. Administrators can also use dedicated helpers such as collection storage-size or total-size methods when they need a more narrowly defined measurement. For a general collection-level statistics query targeting order, however, db.
order.stats() is the correct answer, making option B correct.
Study Guide reference/topic:Performance Monitoring and Tuning - collection statistics, storage utilization, db.
collection.stats(), and database/server metrics.
NEW QUESTION # 160
Which TWO methods should an administrator use to create a backup of a MongoDB replica set?
Answer: C,E
Explanation:
Filesystem snapshots and mongodump are both recognized approaches for backing up self-managed MongoDB deployments, including replica sets. Filesystem snapshots capture the storage volume at a point in time and can be very efficient for large deployments when the underlying storage platform provides consistent snapshot functionality. mongodump creates a logical BSON backup of database contents and supports replica- set-aware options; when writes continue during the dump, oplog capture can be used to support a consistent restore point. The other tools serve different purposes. mongoexport exports collection data to JSON or CSV for interchange or reporting but is not a full-fidelity database backup solution. mongofiles manages content stored in GridFS rather than backing up the database. bsondump reads BSON dump files and renders their contents in a human-readable form; it does not create the original database backup. A sound production strategy also includes restore testing, retention policies, off-site copies, and recovery-point/recovery-time objectives. For the specific choices offered, the two valid backup methods are filesystem snapshots and mongodump, so C and E are correct.
Study Guide reference/topic:Cluster Reliability and Data Resilience - backup strategies, filesystem snapshots, mongodump, and restore planning.
NEW QUESTION # 161
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 # 162
In which of the following scenarios is sharding not the correct option. Select all that apply.
Answer: A,B
NEW QUESTION # 163
What stage of the Winning Plan in an Explain Result identifies the Index Key for the query pattern?
Answer: C
Explanation:
When MongoDB ' s winning query plan uses a B-tree index, the plan includes an IXSCAN stage. That stage contains the index-specific information a DBA needs to identify how the query is being serviced, including the key pattern, index name, traversal direction, and index bounds. For example, keyPattern can show a compound definition such as { status: 1, createdAt: -1 }, making it straightforward to confirm which indexed keys participate in the chosen plan. A FETCH stage indicates that MongoDB is retrieving full documents, often after an index has produced candidate record identifiers; the fetch stage itself does not identify the index key. A COLLSCAN stage means MongoDB is scanning the collection and therefore is not using a normal index scan for the predicate. GROUP is unrelated to index selection. Effective DBA query analysis usually involves inspecting both queryPlanner.winningPlan and execution statistics such as totalKeysExamined, totalDocsExamined, and nReturned. But for the narrow question of which stage exposes the index key used by the winning plan, IXSCAN is the correct answer. Therefore option C is correct.
Study Guide reference/topic:Indexing and Query Optimization - explain output, winning plans, IXSCAN, key patterns, and index bounds.
NEW QUESTION # 164
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