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MongoDB C100DBA Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: CRUD Operations and Indexing | 20% | - Query optimization and aggregation - Index types, creation, and management - Create, Read, Update, Delete operations
|
| Topic 2: Sharding and Scalability | 10% | - Sharded cluster architecture - Shard keys, chunk management, balancing - Query routing and cluster operations
|
| Topic 3: Security and Access Control | 15% | - Authentication mechanisms - Role-based access control - Encryption, auditing, and security best practices
|
| Topic 4: MongoDB Architecture and Deployment | 20% | - Storage engines and server management - Core concepts, JSON/BSON, data model - Installation and configuration
|
| Topic 5: Replication and High Availability | 15% | - Failover, elections, read/write concern - Replica set architecture and components - Deployment and maintenance of replica sets
|
| Topic 6: Backup, Recovery and Maintenance | 10% | - Data consistency and integrity checks - Restore procedures and disaster recovery - Logical and physical backup methods
|
| Topic 7: Monitoring, Performance and Troubleshooting | 10% | - Diagnostics and resolving common issues - Performance tuning and optimization - Monitoring tools and metrics
|
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C100DBA復習教材、C100DBAコンポーネント
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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) 認定 C100DBA 試験問題 (Q103-Q108):
質問 # 103
A database administrator maintains a MongoDB database that stores scientific papers. A paper with DOI
10.1000/xyz123 is no longer relevant and needs to be removed.
What query should the administrator use to delete the paper with the DOI equal to 10.1000/xyz123?
- A. db.scientificPapers.findOneAndDelete({ scientificPapers: " orders " , doi: " 10.1000/xyz123 " })
- B. db.scientificPapers.deleteOne({ scientificPapers: " orders " }, { doi: " 10.1000/xyz123 " })
- C. db.scientificPapers.deleteOne({ doi: " 10.1000/xyz123 " })
- D. db.scientificPapers.drop({ doi: " 10.1000/xyz123 " })
正解:C
解説:
db.collection.deleteOne() deletes a single document that matches the supplied filter, so the direct operation is db.scientificPapers.deleteOne({ doi: " 10.1000/xyz123 " }). The DOI is the identifying criterion, and no additional filter is required. Option A is dangerous and incorrect: drop() removes the entire collection and its indexes rather than deleting a filtered document. Option B uses findOneAndDelete(), which can delete a single matching document, but the displayed filter also requires a nonexistent or inappropriate field/value pair, scientificPapers: " orders " , so the target document would not match. Option D misunderstands the method signature. The second argument to deleteOne() is an options document for settings such as write concern, collation, or hint; it is not a second query predicate. In production, a unique index on DOI could also ensure that the business identifier is unique and make the deletion highly selective. Among the presented commands, only option C cleanly and correctly deletes the one scientific-paper document identified by the specified DOI.
Study Guide reference/topic:MongoDB Architecture and Core Operations - delete operations, deleteOne(), filters, and collection management.
質問 # 104
In order to ensure that you can maintain high availability in the face of server failure, you should implement which of the following?
- A. Replication
- B. Put indexes on all of your documents
- C. Sharding
- D. The proper storage engine
- E. Properly defined user roles
正解:A
質問 # 105
A MongoDB administrator needs to create a new role with only the read privileges for the products database.
What command should the administrator use?
- A. db.createRole({ role: " productRead " , privileges: [ { resource: { db: " products " , collection: " * " }, actions: [ " readWrite " ] } ] , roles: [] }, { w: " majority " , wtimeout: 5000 })
- B. db.createRole({ role: " productRead " , privileges: [ { resource: { db: " products " , collection: " * " }, actions: [ " read " ] } ] , roles: [] }, { w: " majority " , wtimeout: 5000 })
- C. db.createRole({ role: " productRead " , privileges: [ { resource: { db: " products " , collection: " " }, actions: [ " find " ] } ] , roles: [] }, { w: " majority " , wtimeout: 5000 })
- D. db.createRole({ role: " productRead " , privileges: [ { resource: { db: " products " , collection: " * " }, actions: [ " readAnyDatabase " ] } ] , roles: [] }, { w: " majority " , wtimeout: 5000 })
正解:C
解説:
MongoDB custom roles are defined in terms of privileges, and each privilege specifies a resource plus one or more allowed actions. For read/query access, find is a valid privilege action. To represent all normal collections in a specified database, MongoDB uses a resource document with the target database and an empty collection name, for example { db: " products " , collection: " " }. Option B therefore combines the correct resource scope with the find action and does not grant write capability. The distractors confuse built-in role names with privilege actions. read, readWrite, and readAnyDatabase are built-in roles or role concepts, not the appropriate action values for the privileges[].actions list shown here. Likewise, a literal " * " collection value is not the documented database-wide resource form for this custom privilege. In practice, an administrator could also assign MongoDB ' s built-in read role rather than creating a custom role if its permissions exactly match the requirement. Given the specific createRole() choices, however, option B is the technically correct construction.
Study Guide reference/topic:Security, Networking, and Encryption - RBAC, custom roles, resources, and privilege actions.
質問 # 106
Consider the following document:
> db.c.find()
{ "_id" : 12, b : [ 3, 5, 7, 2, 1, -4, 3, 12 ] }
Which of the following queries on the "c" collection will return only the first five elements of the array in the
"b"
field? E.g.,
Document you want returned by your query:
{ "_id" : 12, "b" : [ 3, 5, 7, 2, 1 ] >
- A. db.c.find( { > , { b : { $slice : [ 0 , 5 ] } } )
- B. db.c.find( { > , { b : [ 0 , 5 ] > )
- C. db.c.find( { > , { b : [ 0, 1, 2, 3, 4, 5 ] > )
- D. db.c.find( { > , { b : { $substr[ 0 , 5 ] > > )
- E. db.c.find( { b : [ 0 , 5 ] > )
正解:A
質問 # 107
Below is a sample document of "orders" collection

正解:A
質問 # 108
......
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