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| Section | Objectives |
|---|---|
| Backup, Restore, and Operations | - Backup strategies and tools - Restore procedures - Monitoring and maintenance |
| Indexing and Performance Tuning | - Explain plans and diagnostics - Query performance optimization - Index types and usage |
| Data Modeling | - Relationships in MongoDB - Embedding vs referencing - Schema design principles |
| Security | - Authentication and authorization - Encryption at rest and in transit - Role-based access control (RBAC) |
| Sharding and Scalability | - Sharded cluster architecture - Balancing and scaling operations - Shard keys and distribution strategy |
| MongoDB CRUD Operations | - Querying and filtering documents - Insert, update, and delete operations - Working with documents and BSON types |
| Replication and High Availability | - Read/write concerns - Failover and elections - Replica set architecture |
| Aggregation Framework | - Data transformation and grouping - Aggregation operators - Aggregation pipeline stages |
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NEW QUESTION # 83
Given a collection posts as shown below having a document array comments, which of the following command will create an index on the comment author descending?
Answer: A
NEW QUESTION # 84
What does the following aggregate query perform?
Answer: B
NEW QUESTION # 85
What command lists all indexes for a collection?
Answer: C
Explanation:
db.collection.getIndexes() is the mongosh method used to return the definitions of all indexes that currently exist on a collection. The result is an array of index specification documents that can show fields such as the index name, key pattern, index version, uniqueness, partial-filter settings, sparse configuration, collation, and whether the index is hidden. This makes the method useful for index audits, troubleshooting, and confirming the physical indexes available to the query planner. Option A is not a documented method for enumerating collection indexes. Option B resembles the $indexStats aggregation stage, which reports usage statistics for indexes, but db.collection.indexStats() is not the method used to list full index definitions. Option C, findIndexes(), is also not the documented mongosh collection helper. Administrators should distinguish between listing index definitions, examining index usage, and inspecting an individual query ' s winning plan:
getIndexes() addresses the first requirement, $indexStats addresses usage metrics, and explain() addresses query-planner behavior. Therefore option D is the correct command for listing all indexes on the collection.
Study Guide reference/topic:Indexing and Query Optimization - index administration, index metadata, and db.
collection.getIndexes().
NEW QUESTION # 86
A MongoDB database administrator needs to improve the performance of the following query:
db.employees.find(
{},
{ name: 1, department: 0, salary: 1 }
).sort({ department: 1, salary: -1 });
What index should the administrator use to achieve this goal?
Answer: B
Explanation:
For a compound index to satisfy a multi-field sort, the indexed fields must occur in the same sequence as the sort specification, and their directions must either match the requested pattern or be the complete reverse of it.
The query sorts by { department: 1, salary: -1 }, so option B exactly matches both the key order and the requested directions. MongoDB can scan that index and return the results already ordered, avoiding a blocking in-memory sort. Option A uses { department: 1, salary: 1 }, which does not match the mixed- direction sort and is not its full inverse. Option D puts name before the two sort keys. Because the query has no equality predicate on name, that leading key prevents the later fields from directly providing the requested global sort. Option C is not a sensible index definition for this workload. Separately, the displayed projection mixes inclusion and exclusion (name:1, salary:1, department:0), which MongoDB normally disallows except for _id; that syntax issue should be corrected independently. It does not change the intended index answer for the sort, which is B.
Study Guide reference/topic:Indexing and Query Optimization - compound indexes, sort support, index prefixes, and key direction.
NEW QUESTION # 87
Consider the following document from the products collection:
What does the following query using $elemMatch return? db.products.find( { product_code: "345678" }, { variations: { $elemMatch: { size:
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