View Full MongoDB C100DBA Exam Dumps and Practice Test Dumps
Question 281
Which update operator renames an existing field?
- $rename
- $replace
- $relabel
- $modifyName
Correct Answer: 1
Explanation:
The $rename update operator changes the name of an existing field without changing its stored value. It is useful when a schema evolves and an application needs a field to use a new name. The operator takes a mapping from the current field name to the desired field name. For example, $rename: { “oldName”: “newName” } changes oldName to newName. MongoDB performs the operation as part of the update. The other choices are not valid MongoDB update operators for renaming document fields.
Question 282
Which operator multiplies a numeric field by a specified value?
- $multiply
- $times
- $mul
- $scale
Correct Answer: 3
Explanation:
The $mul update operator multiplies the value of a numeric field by a specified number. It is useful for operations such as adjusting prices, counters, quantities, or other numeric attributes without first reading the existing value into application code. For example, an update using $mul: { price: 1.1 } increases the stored price by ten percent. MongoDB applies the multiplication directly to the selected documents. $multiply is an aggregation expression rather than the corresponding update modifier, while $times and $scale are not valid MongoDB update operators.
Question 283
Which update operator assigns the current date to a field?
- $now
- $dateNow
- $timestamp
- $currentDate
Correct Answer: 4
Explanation:
The $currentDate update operator sets a field to the current date or timestamp. It is useful when applications need MongoDB itself to record when a document was modified. The operator can produce a BSON Date value or, when configured appropriately, a BSON Timestamp. Using $currentDate avoids relying on an application server’s clock when updating timestamp-related fields. This makes it particularly useful for maintaining modification metadata. The other choices are not standard MongoDB update operators. Developers can combine $currentDate with other update operators when several document fields need to change atomically.
Question 284
Which array modifier removes an element from the beginning or end?
- $trim
- $pop
- $shift
- $remove
Correct Answer: 2
Explanation:
The $pop update modifier removes one element from an array. A value of -1 removes the first element, while a value of 1 removes the last element. This makes $pop useful for maintaining queue-like or stack-like arrays directly within a MongoDB document. The operation modifies the selected document rather than requiring the application to retrieve and rewrite the entire array. $trim, $shift, and $remove are not MongoDB update modifiers for this purpose. When more specific array selection is required, other operators such as $pull may be more appropriate.
Question 285
Which operator removes all matching values from an array?
- $pullAll
- $removeAll
- $clearValues
- $erase
Correct Answer: 1
Explanation:
The $pullAll update operator removes every occurrence of specified values from an array. It accepts an array containing the values that should be removed. For example, $pullAll: { tags: [“old”, “unused”] } removes matching values from the tags array. Unlike an operation that removes only one occurrence, $pullAll handles all matching instances of each specified value. It is useful when several known values need to be eliminated in a single update. $removeAll, $clearValues, and $erase are not MongoDB update operators.
Question 286
Which modifier inserts multiple values with $push?
- $many
- $batch
- $append
- $each
Correct Answer: 4
Explanation:
The $each modifier allows multiple elements to be supplied to an array update, commonly with $push. For example, $push: { tags: { $each: [“red”, “blue”] } } adds both values to the array. $each can also be combined with other array modifiers such as $position, $slice, and $sort to control how inserted elements are arranged or retained. This makes it more flexible than repeatedly issuing individual updates. $many, $batch, and $append are not the MongoDB modifiers used for supplying multiple array elements.
Question 287
Which array modifier controls where $each inserts elements?
- $offset
- $position
- $indexAt
- $insertAt
Correct Answer: 2
Explanation:
The $position modifier specifies the insertion position when $each is used with $push. By default, new elements are appended to the end of the array. Setting $position allows the application to insert them at a particular index instead. For example, a position of zero inserts the supplied elements at the beginning of the array. $position is therefore useful when array ordering matters. $offset, $indexAt, and $insertAt are not the MongoDB modifiers used to specify an insertion index for $push.
Question 288
Which modifier limits the number of retained array elements?
- $limitArray
- $retain
- $slice
- $truncate
Correct Answer: 3
Explanation:
The $slice modifier can be combined with $push to limit the number of elements retained in an array after new values are added. This is useful for maintaining bounded arrays, such as recent events, latest messages, or rolling activity records. A positive slice keeps elements from the beginning, while a negative value keeps elements from the end. $slice can be combined with $each, $sort, and $position to construct more controlled array updates. $limitArray, $retain, and $truncate are not equivalent MongoDB array update modifiers.
Question 289
Which method deletes one matching document and can return it?
- findOneAndDelete()
- removeAndReturn()
- deleteAndFetch()
- findDeleteOne()
Correct Answer: 1
Explanation:
The findOneAndDelete() method finds a single document, deletes it, and can return the document that was removed. This makes it useful when an application needs both the deletion and the deleted document’s data as part of one operation. Selection can be controlled with a filter, while options can influence sorting and the returned result. The operation is especially useful for workflows involving queues, reservations, or one-at-a-time document removal. The other method names are not standard MongoDB CRUD methods.
Question 290
Which method replaces one matching document completely?
- replaceDocument()
- overwriteOne()
- swapOne()
- findOneAndReplace()
Correct Answer: 4
Explanation:
The findOneAndReplace() method finds one document and replaces its contents with a replacement document. Unlike an update that changes selected fields, replacement operations provide a complete replacement document, subject to MongoDB’s document rules. The method can also return the document before or after replacement depending on the specified options. This is useful when the application has constructed a complete new representation of a document. replaceDocument(), overwriteOne(), and swapOne() are not standard MongoDB CRUD methods for this operation.
Question 291
Which method sends multiple write operations together?
- multiExecute()
- writeBatch()
- bulkWrite()
- batchCommands()
Correct Answer: 3
Explanation:
The bulkWrite() method allows multiple write operations to be submitted as one bulk operation. A bulk request can contain different operation types, including inserts, updates, replacements, and deletes. This is useful when an application needs to process many independent write actions efficiently. Bulk operations can also be configured as ordered or unordered, affecting how MongoDB proceeds when an individual operation encounters an error. bulkWrite() therefore provides a convenient API for mixed write workloads. The other method names are not standard MongoDB collection methods for bulk writes.
Question 292
What happens with unordered bulk writes after an individual error?
- All later work is canceled
- Other operations may continue
- The entire request is rolled back
- Only inserts are retried
Correct Answer: 2
Explanation:
Unordered bulk writes allow MongoDB to continue processing other operations when an individual operation encounters an error. The server does not require the operations to execute strictly in their submitted order. This can improve throughput for workloads where individual failures should not prevent unrelated writes from being attempted. The application still receives information about errors so it can determine which operations failed. Unordered execution does not mean the entire request is rolled back, nor does it restrict processing to inserts. The behavior differs from ordered bulk execution, where processing generally stops after an error.
Question 293
Which command modifies collection options?
- alterCollection
- modifyCollection
- changeCollection
- collMod
Correct Answer: 4
Explanation:
The collMod database command modifies supported options for an existing collection or view. Depending on the object and MongoDB version, it can be used for settings such as validation rules and related collection configuration. This command is useful when an administrator needs to adjust collection behavior without recreating the collection and moving its documents. Because collection modification capabilities depend on the option being changed, administrators should use the documented command syntax for the target setting. alterCollection, modifyCollection, and changeCollection are not the standard MongoDB command names for this purpose.
Question 294
Which validation setting allows invalid documents but records warnings?
- validationAction: “warn”
- validationAction: “allow”
- validationMode: “warn”
- validationResult: “log”
Correct Answer: 1
Explanation:
The validationAction: “warn” setting causes MongoDB to report document validation failures without rejecting the write. This can be useful during a gradual schema migration when administrators want to identify documents that violate a new validation rule before enforcing that rule. With the error action, invalid writes are rejected instead. The warning approach therefore provides an intermediate stage between having no enforcement and strictly rejecting nonconforming documents. The other options are not the standard syntax for configuring MongoDB’s validation action.
Question 295
Which validation setting controls enforcement strictness?
- validationMode
- validationScope
- validationLevel
- validationPolicy
Correct Answer: 3
Explanation:
The validationLevel collection setting controls how MongoDB applies document validation rules. Its supported values include strict, moderate, and off. This allows administrators to choose whether validation should be consistently applied, applied with more limited behavior to existing nonconforming documents, or disabled. The setting is particularly useful during schema evolution because an organization may want to introduce validation without immediately disrupting legacy documents. validationMode, validationScope, and validationPolicy are not the standard MongoDB collection settings used to control validation enforcement level.
Question 296
Which validator operator defines JSON Schema rules?
- $schemaRules
- $jsonSchema
- $documentSchema
- $validateJson
Correct Answer: 2
Explanation:
The $jsonSchema query expression allows MongoDB document validation rules to be defined using JSON Schema syntax. It can specify requirements such as field types, required properties, numeric constraints, and nested document structure. Administrators commonly use $jsonSchema inside a collection validator when they want predictable document structure while retaining MongoDB’s flexible schema model. The validation configuration can then determine whether nonconforming writes generate warnings or errors. $schemaRules, $documentSchema, and $validateJson are not the MongoDB validator operator used for JSON Schema-based validation.
Question 297
Which option lets an authorized operation bypass validation?
- skipValidation
- ignoreValidator
- disableValidation
- bypassDocumentValidation
Correct Answer: 4
Explanation:
The bypassDocumentValidation option allows an authorized write operation to bypass the collection’s configured document validation rules. This can be useful for trusted administrative tasks, controlled data migrations, or situations where an operation intentionally needs to handle documents that do not satisfy normal application validation requirements. Bypassing validation should be used carefully because it can introduce documents that differ from the collection’s expected schema. The other options are not the standard MongoDB operation option for bypassing document validation. Authorization requirements also apply when MongoDB requires permission to bypass validation.
Question 298
Which BSON representation is commonly used for UUID values?
- BSON Date
- BSON Timestamp
- Binary subtype 4
- BSON Decimal128
Correct Answer: 3
Explanation:
UUID values are commonly represented in MongoDB using BSON Binary data, specifically the UUID binary subtype associated with subtype 4. This representation provides a standardized way to store UUID values while preserving their binary form. Drivers can provide language-specific UUID types and handle conversion between application objects and BSON. UUID representation details can vary by driver configuration, especially in older applications, so consistent driver settings are important when exchanging UUID data. BSON Date is intended for dates and times, Timestamp has a different purpose, and Decimal128 is designed for high-precision decimal numbers.
Question 299
Which aggregation option permits temporary disk usage?
- allowDiskUse
- useTempFiles
- diskOverflow
- enableSpill
Correct Answer: 1
Explanation:
The allowDiskUse aggregation option permits eligible aggregation stages to use temporary disk storage when processing requires more memory than the available in-memory limit. This can be important for memory-intensive operations such as large sorts or grouping workloads. Allowing disk use can help an aggregation complete instead of failing because of memory restrictions, although disk-based processing may be slower than keeping the workload in memory. Administrators should still design efficient pipelines and appropriate indexes. useTempFiles, diskOverflow, and enableSpill are not the standard MongoDB aggregation option names.
Question 300
Which feature controls locale-aware string comparison rules?
- stringRules
- collation
- localeConfig
- textOrdering
Correct Answer: 2
Explanation:
MongoDB collation controls language-sensitive rules for string comparison and sorting. A collation can specify settings such as locale, comparison strength, case handling, and numeric ordering. This is useful when an application needs sorting or matching behavior that follows linguistic rather than simple binary ordering rules. Collation can be specified for operations and indexes, depending on the workload. Applications should use consistent collation settings when the intended comparison behavior needs to be preserved across queries and indexed operations. stringRules, localeConfig, and textOrdering are not MongoDB’s standard feature name for these comparison rules.