C100DBA入門知識 & C100DBA日本語版

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人々は自分が将来何か成績を作るようにずっと努力しています。IT業界でのあなたも同じでしょう。自分の能力を高めるために、C100DBA試験に参加する必要があります。C100DBA試験に合格したら、あなたがより良く就職し輝かしい未来を持っています。この試験が非常に困難ですが、実は試験を準備するとき、もっと楽になることができます。我々のC100DBA問題集を入手するのはあなたの進めるべきの第一歩です。

MongoDB C100DBA Exam Syllabus Topics:

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

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) 認定 C100DBA 試験問題 (Q150-Q155):

質問 # 150
Which TWO indicators should an administrator keep an eye on to determine if the storage capacity is nearing its limit?

A. The number of available read or write tickets is consistently low.
B. Disk space utilization on the server is consistently above 90%.
C. The number of documents in the database is increasing.
D. The execution time of the same query increases over time.
E. Message errno:28 No space left on device is present in the log file.

正解：B、E

解説：
The most direct evidence that storage capacity is approaching exhaustion is high filesystem utilization and explicit operating-system errors showing that no space remains. Sustained disk utilization above 90% is a practical warning threshold because the deployment has little headroom for database growth, index builds, temporary files, journal activity, or operational spikes. The errno:28 No space left on device message is even stronger evidence: the operating system rejected a write because the relevant filesystem could not allocate additional space. The other choices can correlate with workload growth but do not specifically prove a capacity problem. Query execution time can increase because of poor indexes, cache misses, lock or ticket contention, or CPU pressure. A rising document count says nothing about remaining free space without knowing document size, index size, and volume capacity. Low read/write ticket availability reflects storage- engine concurrency pressure rather than filesystem capacity. Administrators should therefore monitor disk- used and disk-free metrics, alert well before full utilization, and investigate any ENOSPC-style log events immediately. B and D are the two storage-capacity indicators.
Study Guide reference/topic:Performance Monitoring and Tuning - disk capacity, storage metrics, alerts, and diagnostic logs.

質問 # 151
An employees collection contains documents with fields such as _id, name, age, department, and salary.
A database administrator needs to run a query that will return ONLY the name and age fields for all employees.
Which query meets this requirement?

A. db.employees.find({ }, { name: 1, age: 1 })
B. db.employees.find({ name: 1, age: 1, _id: 0 }, { })
C. db.employees.find({ }, { name: 1, age: 1, _id: 0 })
D. db.employees.find({ name: 1, age: 1 }, { })

正解：C

解説：
The first argument to find() is the query filter and the second argument is the projection. Because the requirement applies to every employee, the filter must be an empty document {}. The projection must include name and age while explicitly suppressing _id. MongoDB includes _id by default even in inclusion projections, so { name: 1, age: 1 } would return three fields: _id, name, and age. Adding _id: 0 is the documented exception that allows _id to be excluded from an otherwise inclusion-style projection. Option C therefore produces exactly the requested fields. Options A and B mistakenly place projection-like expressions in the filter position, which would cause MongoDB to search for documents where those fields literally match the specified values rather than controlling returned fields. Option D is close but violates the word "ONLY" because _id remains present. Projection design can also reduce network traffic and, when a suitable index covers both the predicate and projected fields, can contribute to covered-query plans. For this requirement, however, the essential syntax is find({}, {name:1, age:1, _id:0}), so C is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - find(), filters, projections, inclusion fields, and _id exclusion.

質問 # 152
What is the equivalent command in MongoDB for the following SQL query?
SELECT * FROM posts WHERE author like "%john%"

A. db.posts.find( { author: {$like: /John/} } )
B. db.posts.find( { $like: {author: /John/} } )
C. db.posts.find( { author: /AjohnA/ > )
D. db.posts.find( { author: /John/ } )

正解：D

質問 # 153
What is the output of following two commands in MongoDB: db. posts. insert({n_id":l}) db.posts.insert({"_id":l})

A. Two documents will be inserted with _id as 1
B. MongoDB will automatically increment the _id of the second document as 2
C. It will insert two documents and throw a warning to the user
D. This will throw a duplicate key error

正解：D

質問 # 154
Which of the following statements are true about the $match pipeline operator? Check all that apply.

A. You should use it early as possible in the pipeline
B. It has a sintax similar to findQ commands.
C. It can be used as many time as needed.

正解：A、B、C

質問 # 155
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MongoDB認定を取得したい場合は、行動し始めてみませんか？最初のステップは、C100DBA試験に合格することです。時間は誰も待っていません。 C100DBA試験に合格した場合にのみ、より良いプロモーションを取得できます。そして、あなたがより効率的にそれを渡したいなら、私たちはあなたにとって最高のパートナーでなければなりません。私たちはプロのC100DBA質問トレントプロバイダーであり、C100DBAトレーニング資料は信頼に値します。 C100DBAラーニングガイドに多大な努力を払っているため、10年以上にわたってこの分野でより良い成果を上げています。 C100DBA学習ガイドが最適です。

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