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| Section | Objectives |
|---|---|
| Topic 1: Indexes | - Index Management
|
| Topic 2: Sharding | - Cluster Scaling
|
| Topic 3: Philosophy and Features | - MongoDB Architecture
|
| Topic 4: Server Administration | - Database Operations
|
| Topic 5: Application Administration | - Security and Access Control
|
| Topic 6: Replication | - Replica Sets
|
| Topic 7: CRUD Operations | - Data Manipulation
|
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NEW QUESTION # 112
A department store maintains a clothing collection:
{ " _id " : 1, " item " : " sweater " , " sizes " : [ " XS " , " S " , " L " ] }
{ " _id " : 2, " item " : " t-shirt " , " sizes " : [ " S " , " M " , " L " ] }
{ " _id " : 3, " item " : " vest " , " sizes " : [ " M " , " L " , " XL " , " XXL " ] } An employee runs:
db.clothing.find( { " sizes " : " M " } )
Which index should improve performance for this query the MOST?
Answer: A
Explanation:
The query filters only on the sizes field, so the most direct supporting index is a single-field index on sizes.
Because sizes contains arrays, MongoDB automatically treats the resulting index as a multikey index and creates index entries derived from the array elements. That allows the query { sizes: " M " } to locate matching documents through the index rather than scanning every document in the collection. Option B indexes item, which is not part of the predicate and therefore does not help this query. Option C contains sizes, but _id is the leading key and the query provides no equality restriction on _id; this prevents efficient use of the later key as a standalone prefix for the query. Option D has the same structural problem because item precedes sizes and is not constrained. MongoDB ' s index-prefix rules make a targeted { sizes: 1 } index the strongest choice here. In a real workload, DBAs should also consider write overhead and whether additional queries can share a compound index before creating redundant indexes. For this single query pattern, option A is optimal.
Study Guide reference/topic:Indexing and Query Optimization - multikey indexes, array fields, index prefixes, and query support.
NEW QUESTION # 113
Which of the following commands can cause the database to be locked?
Answer: B
NEW QUESTION # 114
Which of the following is a valid insert statement in mongodb? Select all valid.
Answer: A,B
NEW QUESTION # 115
Which of the following command inside aggregate command is used in MongoDB aggregation to filter the documents to pass only the documents that match the specified condition(s) to the next pipeline stage.
Answer: C
NEW QUESTION # 116
An employees collection contains documents with fields such as _id, name, age, department, and salary.
A database administrator needs to run a query that will return ONLY the name and age fields for all employees.
Which query meets this requirement?
Answer: A
Explanation:
The first argument to find() is the query filter and the second argument is the projection. Because the requirement applies to every employee, the filter must be an empty document {}. The projection must include name and age while explicitly suppressing _id. MongoDB includes _id by default even in inclusion projections, so { name: 1, age: 1 } would return three fields: _id, name, and age. Adding _id: 0 is the documented exception that allows _id to be excluded from an otherwise inclusion-style projection. Option C therefore produces exactly the requested fields. Options A and B mistakenly place projection-like expressions in the filter position, which would cause MongoDB to search for documents where those fields literally match the specified values rather than controlling returned fields. Option D is close but violates the word "ONLY" because _id remains present. Projection design can also reduce network traffic and, when a suitable index covers both the predicate and projected fields, can contribute to covered-query plans. For this requirement, however, the essential syntax is find({}, {name:1, age:1, _id:0}), so C is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - find(), filters, projections, inclusion fields, and _id exclusion.
NEW QUESTION # 117
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