正確なC100DBA日本語版と英語版 - Jpexam内の全て

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MongoDB C100DBA Exam Syllabus Topics:

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

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) 認定 C100DBA 試験問題 (Q131-Q136):

質問 # 131
Consider a clothing collection that contains these documents:
{ " _id " : 1, " item " : " sweater " , " sizes " : [ " XS " , " S " ] }
{ " _id " : 2, " item " : " t-shirt " , " sizes " : [ " S " , " M " , " XL " ] }
{ " _id " : 3, " item " : " vest " , " sizes " : [ " M " , " L " , " XL " , " XXL " ] } What does the following query return?
db.clothing.find({ " sizes " : " M " })

正解：D

解説：
MongoDB supports direct equality matching against elements contained in an array. When the predicate is { sizes: " M " } and sizes is an array field, a document matches when at least one element of the array equals the scalar value " M " . Document 1 contains only " XS " and " S " , so it does not match. Document 2 contains " M " in [ ' S ' , ' M ' , ' XL ' ], and document 3 contains " M " in [ ' M ' , ' L ' , ' XL ' , ' XXL ' ]; both therefore match. No $elemMatch expression is required for this simple scalar membership test. $elemMatch becomes important when multiple conditions must be satisfied by the same array element, particularly for arrays of embedded documents or compound conditions. This array equality behavior is a core part of MongoDB ' s document query model and allows concise filtering of array-valued fields. The correct result is consequently the t-shirt and vest documents, which corresponds to option D. This same matching behavior applies consistently whenever a scalar predicate targets values stored inside a BSON array field.
Study Guide reference/topic:MongoDB Architecture and Core Operations - querying array fields and equality predicates.


質問 # 132
Consider that you have a collection called population which has fields state and city. Which of the following query will calculate the population grouped by state and city?

正解：C


質問 # 133
What tool should be used to access and administer a MongoDB cluster?

正解：A

解説：
mongosh, the MongoDB Shell, is the interactive command-line environment used to connect to MongoDB deployments and perform administrative and data operations. Through mongosh, a DBA can run CRUD queries, aggregation pipelines, user and role administration, replica-set commands, server diagnostics, index operations, and many other management tasks. mongod, option B, is the MongoDB database server process itself; it stores data and serves requests but is not the interactive administration client. mongostat, option C, is a monitoring utility that reports a concise stream of server activity metrics such as operation rates, memory, connections, and queue information. mongotop, option D, reports time spent reading and writing data by namespace and is likewise a diagnostic utility rather than a general administration shell. DBAs may also use MongoDB Compass, Atlas interfaces, Ops Manager, or automation tooling depending on the deployment, but among these four command-line tools, mongosh is the one intended for broad interactive access and administration. Therefore option A is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - MongoDB Shell, administration tools, server processes, and monitoring utilities.


質問 # 134
What operation updates the value of the unitsInStock field to 25 for a document with a " laptop " product, and inserts a new document if it does not exist?

正解：B

解説：
An upsert combines update behavior with conditional insertion. updateOne() first searches for a document matching { product: " laptop " }. If one exists, $set changes unitsInStock to 25. If none exists and the options document contains { upsert: true }, MongoDB inserts a new document based on the equality portions of the filter together with the update result. Option A uses exactly this pattern. Options B and C incorrectly use insertOne(), which inserts a supplied document and does not accept an update-operator document plus upsert semantics in this form. Option D uses the correct method and update structure but specifies True with a capital T. Mongosh uses JavaScript Boolean syntax, so the literal must be lowercase true. Upserts are useful when an application needs to ensure that a logical entity exists after an operation, but DBAs should consider a unique index on the identifying field when duplicate creation by concurrent requests must be prevented.
Given the choices, updateOne(..., {$set:...}, {upsert:true}) is the valid operation, so A is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - updateOne(), $set, upserts, and Boolean syntax.


質問 # 135
What is the on-premise solution having functionality equivalent to cloud manager?

正解：D


質問 # 136
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