認定するC100DBA試験 &合格スムーズC100DBA関連合格問題 |最新のC100DBA資格模擬MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4)

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C100DBA試験, C100DBA関連合格問題, C100DBA資格模擬, C100DBA復習攻略問題, C100DBAテストサンプル問題

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MongoDB C100DBA Exam Syllabus Topics:

Section Objectives
Server Administration - Database Operations
  • 1. Monitoring
  • 2. Configuration Management
  • 3. Storage Management
  • 4. Backup and Restore
CRUD Operations - Data Manipulation
  • 1. Update Operations
  • 2. Insert Operations
  • 3. Delete Operations
  • 4. Read Queries
Indexes - Index Management
  • 1. Index Selection
  • 2. Compound Indexes
  • 3. Single Field Indexes
  • 4. Query Performance Optimization
Philosophy and Features - MongoDB Architecture
  • 1. High Availability Concepts
  • 2. Scalability Concepts
  • 3. Document Model
  • 4. Collections and Databases
Replication - Replica Sets
  • 1. Read Preferences
  • 2. Write Concerns
  • 3. Elections
  • 4. Primary and Secondary Nodes
Application Administration - Security and Access Control
  • 1. User Management
  • 2. Role-Based Access Control
  • 3. Authorization
  • 4. Authentication
Sharding - Cluster Scaling
  • 1. Query Routing
  • 2. Shard Keys
  • 3. Balancer Operations
  • 4. Chunk Distribution

>> C100DBA試験 <<

実際的MongoDB C100DBA｜更新するC100DBA試験試験｜試験の準備方法MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4)関連合格問題

MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4)テストの準備は、主に当社のクライアントは、C100DBA試験に合格するのを助けると認証を得ることができます。この認証は、クライアントに大きなメリットをもたらします。クライアントは大企業に参入し、高給を稼ぐことができます。 C100DBA試験に合格すると、給与を2倍にすることができます。認定資格を所有している場合、C100DBAクイズトレントを十分にマスターし、優れた能力を所有していることを証明し、会社または工場で尊敬されます。あなたの仕事を変えたいなら、それはあなたにとっても良いことです。

MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) 認定 C100DBA 試験問題 (Q90-Q95):

質問 # 90
What is the purpose of elections in a replica set?

  • A. A mechanism to add new indexes to a running replica set.
  • B. A mechanism to add additional secondaries when the current secondaries are unavailable.
  • C. A mechanism to choose a new primary when the current primary is no longer available.
  • D. A mechanism for replicating data across all replica set members asynchronously.

正解：C

解説：
Replica-set elections determine which eligible member serves as primary. An election can occur after the current primary becomes unavailable, after certain reconfigurations, during replica-set initialization, or when a primary is deliberately stepped down. Eligible voting members exchange election information and, when a candidate obtains the required support, that candidate transitions to primary and begins accepting writes.
Option A describes asynchronous replication through the oplog, which is a separate mechanism. Option C is unrelated: index creation is an administrative database operation, not a function of elections. Option D is also incorrect because elections do not add members to the replica-set configuration; adding a secondary requires an explicit membership change such as rs.add() or equivalent configuration management. Elections are the foundation of automatic failover and are one reason MongoDB replica sets can provide high availability without a human manually designating a replacement primary after every failure. During an election there can be a brief period in which writes are unavailable, so applications should use retryable behavior and appropriate driver topology handling. The purpose described in option B is therefore correct.
Study Guide reference/topic:Cluster Reliability and Data Resilience - replica-set elections, primary selection, voting, and automatic failover.


質問 # 91
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 : { $substr[ 0 , 5 ] > > )
  • B. db.c.find( { > , { b : { $slice : [ 0 , 5 ] } } )
  • C. db.c.find( { b : [ 0 , 5 ] > )
  • D. db.c.find( { > , { b : [ 0 , 5 ] > )
  • E. db.c.find( { > , { b : [ 0, 1, 2, 3, 4, 5 ] > )

正解：B


質問 # 92
A user stores movie data in a collection called movies. The collection contains thousands of documents.
A sample document looks like this:
{ " title " : " Titanic " , " year " : 1997, " rating " : 8.6 }
The user runs the following query to sort movies first by year, and then by rating:
db.movies.find().sort({ " year " : 1, " rating " : -1 })
Which index would improve the query ' s performance the MOST?

  • A. db.movies.createIndex({ " rating " : -1, " year " : 1 })
  • B. db.movies.createIndex({ " year " : 1, " title " : 1, " rating " : -1 })
  • C. db.movies.createIndex({ " year " : -1, " rating " : 1 })
  • D. db.movies.createIndex({ " rating " : 1, " year " : -1 })

正解：C

解説：
MongoDB can use a compound index to satisfy a multi-field sort when the sort keys appear in the same sequence as the index keys and the requested directions either match the index pattern or are the exact reverse of the entire pattern. The query sorts by { year: 1, rating: -1 }. Option B defines { year: -1, rating: 1 }, which is the complete inverse, so MongoDB can scan that index backward and produce year ascending with rating descending without a blocking in-memory sort. Option A puts title between year and rating; because there is no equality condition fixing title, the index cannot provide a global ordering by { year, rating } across all titles. Options C and D put rating before year, so their primary index ordering does not match the query ' s primary sort key. For multi-field sorts, field sequence is just as important as direction. Therefore B is the strongest index among the presented choices. A forward index { year: 1, rating: -1 } would also be ideal, but it is not offered.
Study Guide reference/topic:Indexing and Query Optimization - compound index sort order, reverse traversal, and index prefixes.


質問 # 93
Which of the following needs to be performed prior to initiate backup on a sharded cluster?

  • A. db.stopServer( )
  • B. sh.stopBalancer( )
  • C. db.stopBalancer( )
  • D. sh.stopServer( )

正解：B


質問 # 94
What does the output x of the following MongoDB aggregation query result into; db.posts.aggregate( [ { $group: { _id; "$author", x: { $sum: $likes } } } ] )

  • A. Sum of likes on all the posts by an author, grouped by author
  • B. Average of likes on all the posts of an author, grouped by author
  • C. Number of posts by an author
  • D. Sum of likes on all the posts by all the authors

正解：A


質問 # 95
......

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