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| Section | Objectives |
|---|---|
| Topic 1: Sharding and Scalability | - Shard keys and distribution strategy - Balancing and scaling operations - Sharded cluster architecture |
| Topic 2: Data Modeling | - Schema design principles - Embedding vs referencing - Relationships in MongoDB |
| Topic 3: Backup, Restore, and Operations | - Monitoring and maintenance - Backup strategies and tools - Restore procedures |
| Topic 4: Replication and High Availability | - Read/write concerns - Failover and elections - Replica set architecture |
| Topic 5: Indexing and Performance Tuning | - Query performance optimization - Explain plans and diagnostics - Index types and usage |
| Topic 6: Aggregation Framework | - Data transformation and grouping - Aggregation operators - Aggregation pipeline stages |
| Topic 7: Security | - Role-based access control (RBAC) - Encryption at rest and in transit - Authentication and authorization |
| Topic 8: MongoDB CRUD Operations | - Working with documents and BSON types - Querying and filtering documents - Insert, update, and delete operations |
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NEW QUESTION # 27
What is the output of following two commands in MongoDB: db. posts. insert({n_id":l}) db.posts.insert({"_id":l})
Answer: B
NEW QUESTION # 28
If the value of totalKeysExamined is 30000 and the value of totalDocsExamined is 0, which of the following option is correct?
Answer: D
NEW QUESTION # 29
Consider a clothing collection that contains these documents:
{ " _id " : 1, " item " : " sweater " , " sizes " : [ " XS " , " S " ] }
{ " _id " : 2, " item " : " t-shirt " , " sizes " : [ " S " , " M " , " XL " ] }
{ " _id " : 3, " item " : " vest " , " sizes " : [ " M " , " L " , " XL " , " XXL " ] } What does the following query return?
db.clothing.find({ " sizes " : " M " })
Answer: B
Explanation:
MongoDB supports direct equality matching against elements contained in an array. When the predicate is { sizes: " M " } and sizes is an array field, a document matches when at least one element of the array equals the scalar value " M " . Document 1 contains only " XS " and " S " , so it does not match. Document 2 contains " M " in [ ' S ' , ' M ' , ' XL ' ], and document 3 contains " M " in [ ' M ' , ' L ' , ' XL ' , ' XXL ' ]; both therefore match. No $elemMatch expression is required for this simple scalar membership test. $elemMatch becomes important when multiple conditions must be satisfied by the same array element, particularly for arrays of embedded documents or compound conditions. This array equality behavior is a core part of MongoDB ' s document query model and allows concise filtering of array-valued fields. The correct result is consequently the t-shirt and vest documents, which corresponds to option D. This same matching behavior applies consistently whenever a scalar predicate targets values stored inside a BSON array field.
Study Guide reference/topic:MongoDB Architecture and Core Operations - querying array fields and equality predicates.
NEW QUESTION # 30
Which of the following operator can be used to control the number of items of an array that a query returns?
Answer: D
NEW QUESTION # 31
What is the use of mongodump and mongorestore tools?
Answer: C
NEW QUESTION # 32
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