Point out the correct statement.
1.In practice, the documents in a collection share a different structure
2.Data in MongoDB has a flexible schema
3.The key challenge in data modeling is balancing the needs of the application, the performance characteristics of the database engine, and the data retrieval patterns
4.None of the mentioned
Answer:2
Posted Date:-2022-01-23 23:41:26
1.cp
2. copy
3. snap
4.None of the mentioned
Answer 11. getTime()
2.getTimestamp()
3.Timestamp()
4.None of the mentioned
Answer 21.Journal must reside on the same logical volume as the other MongoDB data files
2. To get a consistent snapshot of a sharded system, you must disable the balancer
3.Backups produced by copying the underlying data do not support point in time recovery
4.All of the Mentioned
Answer 41.journaling
2.replication
3.MMS
4.All of the Mentioned
Answer 11.Grid
2.MMS
3.GridFS
4. none of the mentioned
Answer 31.composite index
2. secondary index
3.compound index
4.None of the mentioned
Answer 31._id
2. _uid
3._uuid
4.All of the Mentioned
Answer 11.All database records
2. Query selectors
3.Update definitions
4. All of the mentioned
Answer 41. normalized
2.denormalized
3.non relational
4.relational
Answer 21.Driver
2.Parent
3.Rank
4.None of the mentioned
Answer 11.JSON
2.XML
3. JScript
4.All of the Mentioned
Answer 11.225
2.255
3.256
4.None of the mentioned
Answer 21.$type
2. $server
3.$agent
4.None of the mentioned
Answer 11.chunks
2.files
3.bson
4. none of the mentioned
Answer 11. unique
2.single
3. non unique
4.None of the mentioned
Answer 11. 1
2. 2
3.9
4.None of the mentioned
Answer 21.Materialized Paths
2.BinData
3. String
4.None of the mentioned
Answer 21.field1:; value1
2.Field1: value1;
3. field1: value1
4.None of the mentioned
Answer 31.BSON
2. JSON
3.GSON
4. none of the mentioned
Answer 11.Dot
2.Array
3.Nested Sets
4.None of the mentioned
Answer 11. primary
2. secondary
3. composite
4.All of the Mentioned
Answer 11.In practice, the documents in a collection share a different structure
2.Data in MongoDB has a flexible schema
3.The key challenge in data modeling is balancing the needs of the application, the performance characteristics of the database engine, and the data retrieval patterns
4.None of the mentioned
Answer 21.GridFS uses two collections to store files
2.You cannot perform range queries on files stored through GridFS
3.Applications that handle temporal and spatial data often require capturing fractional units of currency
4. All of the mentioned
Answer 11.ObjectIds are small, likely unique, fast to generate, and ordered
2.ObjectIds are large, likely unique, and ordered
3.ObjectIds values consists of 18-byte
4.All of the Mentioned
Answer 11.MongoDB stores chunks on disk in the XML serialization format
2. MongoDB stores documents on disk in the BSON serialization format
3.MongoDB stores documents on RAM in the JSON serialization format
4.All of the Mentioned
Answer 11. Update definitions define what fields to modify during an update
2.Query specifications, which define what fields to index
3.Index selectors, which define what records to select for read, update, and delete operations
4. All of the mentioned
Answer 11.he key decision in designing data models for MongoDB applications revolves around the structure of documents and how the application represents relationships between data
2.There are two tools that allow applications to represent these relationships: references and embedded documents
3.When designing data models, always consider the application usage of the data (i.e. queries, updates, and processing of the data) as well as the inherent structure of the data itself
4.All of the Mentioned
Answer 41. Chunks in the context of GridFS is related to the use of the term chunks in the context of sharding
2.The default chunk size changed from 256k to 255k
3.If you need to query the database for exact, mathematically valid matches, use Ambiguity Precision
4.None of the mentioned
Answer 11. BSON Date is a 32-bit integer that represents the number of milliseconds
2.The BSON timestamp type is for internal MongoDB use
3. If you need to query the database for exact, mathematically valid matches, use Ambiguity Precision
4.None of the mentioned
Answer 11. The field names cannot start with the dollar sign ($) character
2. The field names cannot contain the dot (.) character
3.The field names cannot contain the null character
4.None of the mentioned
Answer 41.Some documents created by internal MongoDB processes may have duplicate fields
2. no MongoDB process will ever add duplicate fields to an existing user document
3.The maximum BSON document size is 16 megabytes
4.None of the mentioned
Answer 31.MongoDB Cloud Manager Backup offers point in time recovery of MongoDB replica sets
2. MongoDB Cloud Manager continually backs up MongoDB replica sets
3.MMS achieves point in time recovery by storing oplog data
4. none of the mentioned
Answer 31.$unset
2. $set
3.$Nested
4.None of the mentioned
Answer 11.chunks
2.files
3.bson
4.None of the mentioned
Answer 11.x
2.array
3.field
4.none of the above
Answer 41._id
2.id
3.Ob_id
4.None of the mentioned
Answer 11.mdump
2.mongodump
3.mongod
4.All of the Mentioned
Answer 21.mongostore
2.mongorestore
3.mongod
4.None of the mentioned
Answer 21.mongod
2.mongo
3. iscript
4. none of the mentioned
Answer 21.2
2.3
3.4
4.None of the mentioned
Answer 21. JSON
2.XML
3. JScript
4.None of the mentioned
Answer 41.Renaming
2.Joining
3.Nesting
4.None of the mentioned
Answer 11.client
2.Server
3. Agent
4.None of the mentioned
Answer 11.Double
2. String
3.Object
4.Undefined
Answer 41. x = ObjectIdAdd()
2.x = addObjectId()
3. x = ObjectId()
4.None of the mentioned
Answer 31.BSON
2.GridFS
3.JSON
4.None of the mentioned
Answer 11. toStringJava()
2. toString()
3. String()
4. none of the mentioned
Answer 21.FSpec
2.GridFS
3.Grid
4.None of the mentioned
Answer 21. Capped
2. Embedded
3. External
4. References
Answer 41.Capped
2.Embedded
3.External
4. Internal
Answer 2