Point out the correct statement.
1.The query to retrieve the parent of a node is fast and straightforward
2.The query to retrieve the parent of a node is slow and straightforward
3.The query to retrieve the parent of a node is slow and complex
4.All of the Mentioned
Answer:1
Posted Date:-2022-01-22 01:37:01
1.plan
2.shape
3.stats
4.All of the Mentioned
Answer 21.normalized
2.denormalized
3.non relational
4.relational
Answer 21.An equality match on the unique _id field is less selective as it can match at most one document
2. The selectivity of regular expressions depends on the expressions themselves
3.Less selective queries can use indexes effectively or even at all
4. All of the mentioned
Answer 21.Child
2.Parent
3.Root
4. none of the mentioned
Answer 11.n
2.name
3.object
4.2n
Answer 11.DeReferences
2. References
3. Cursor
4.Collectors
Answer 21.execution
2. unordered
3.ordered
4.None of the mentioned
Answer 31.FIFO
2.LIFO
3.LRU
4.MRU
Answer 11.8KB
2.28KB
3. 68KB
4.108KB
Answer 11.contains
2. isa
3.inheritance
4.All of the Mentioned
Answer 11.MAPv1
2.MAPv2
3.MAPv3
4. MAPv4
Answer 31.1
2.2
3.3
4.4
Answer 21. { _id: "joe", name: "Joe Bookreader", address: { street: "123 Fake Street", city: "Faketon", state: "MA", zip: "12345"
2. { _id: "joe", name: "Joe Bookreader", address-> { street: "123 Fake Street", city: "Faketon", state: &quo
3. { _id: "joe", name: "Joe Bookreader", address:: { street: "123 Fake Street", city: "Faketon", state: "M
4.All of the Mentioned
Answer 11.collection
2.document
3.row
4. All of the mentioned
Answer 21.namespaces
2.collections
3.documents
4.None of the mentioned
Answer 11.relativeness
2. references
3. evaluation
4.None of the mentioned
Answer 21. 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.With MongoDB, you cannot embed related data in a single structure or document
2.The key consideration for the structure of your documents is the decision to embed or to use references
3. Reference schema is generally known as “denormalized” models
4.None of the mentioned
Answer 21.One-to-One Relationships with embedded documents presents a data model that uses embedded documents to describe one-to-one relationships between connected data
2.One-to-One Relationships with document references presents a data model that uses embedded documents to describe one-to-one relationships between connected data
3.One-to-Many Relationships with embedded documents presents a data model that uses embedded documents to describe one-to-one relationships between connected data
4. All of the mentioned
Answer 11.The query to retrieve the parent of a node is fast and straightforward
2.The query to retrieve the parent of a node is slow and straightforward
3.The query to retrieve the parent of a node is slow and complex
4.All of the Mentioned
Answer 11.The 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.Embedded data models make it possible to update related data in a single atomic write operation
2. Embedding related data in documents may lead to situations where documents grow after creation
3. With the MMAPv1 storage engine, document growth can impact write performance and lead to data fragmentation
4.All of the Mentioned
Answer 41.By default GridFS limits chunk size to 255k
2.GridFS is useful only for storing files that exceed 16MB
3.When you query a GridFS store for a file, the driver or client will reassemble the chunks as needed
4.All of the Mentioned
Answer 21.Client libraries provide a convenient, injection free, process to build these objects
2.MongoDB represents queries as BSON objects
3. Field names in MongoDB’s query language have semantic meaning
4.All of the Mentioned
Answer 41.Decisions that affect how you model data can affect application performance and database capacity
2.Collections do enforce document structure
3.Data in MongoDB has a flexible schema
4.None of the mentioned
Answer 21.You cannot query for a node in the children field to find its parent node only
2.You can query for a node in the children field to find its parent node as well as its siblings
3.You can query for a node in the children field to find its siblings only
4.None of the mentioned
Answer 21. 3.0
2. 2.4.9
3.2.4.10
4. none of the mentioned
Answer 21.parent
2.child
3.top
4.None of the mentioned
Answer 11.find
2.read
3. update
4.modify
Answer 31.Child
2. Parent
3.Root
4.All of the Mentioned
Answer 21. UPDATE
2. OP_UPDATE
3.OP_UPDATES
4.All of the Mentioned
Answer 21. Child
2. Parent
3.Root
4.None of the mentioned
Answer 21.TEL
2.TTL
3.TPL
4.None of the mentioned
Answer 21.mongod
2.mongo
3. json
4. none of the mentioned
Answer 21.db.system.namespaces.countc()
2.db.system.namespaces.count(*)
3. db.system.namespaces.count()
4.All of the Mentioned
Answer 31.period
2.dot
3.comma
4.colon
Answer 21.chunks
2.files
3.data
4. log
Answer 11.repairDatabase
2.repairedDatabase
3.recoverDatabase
4.All of the Mentioned
Answer 11. One-to-One Relationships with Embedded Documents
2.One-to-Many Relationships with Embedded Documents
3.One-to-Many Relationships with Document References
4.None of the mentioned
Answer 21.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 41.2 Sized
2.3 Sized
3. 4 Sized
4.5 Sized
Answer 11.modify()
2.update()
3.find()
4.None of the mentioned
Answer 21.Query optimizer
2. Query selector
3.Update definitions
4. All of the mentioned
Answer 41.db.explain()
2.cursor.explain()
3. cursor.explainstats()
4.All of the Mentioned
Answer 21.Capped
2. Embedded
3. External
4.References
Answer 41.files._id
2. file._id
3.fileobj._id
4. none of the mentioned
Answer 11.Reference
2.Embedded
3. External
4.None of the mentioned
Answer 21.Capped
2. Embedded
3.External
4.Internal
Answer 21.DataFS
2.GridFS
3.ReadFS
4.None of the mentioned
Answer 21.deallocation
2.allocation
3.pre-allocation
4. none of the mentioned
Answer 3