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MongoDB C100DBA Exam Syllabus Topics:

Section	Objectives
Data Modeling	- Schema design principles - Embedding vs referencing - Relationships in MongoDB
Indexing and Performance Tuning	- Index types and usage - Explain plans and diagnostics - Query performance optimization
Sharding and Scalability	- Balancing and scaling operations - Sharded cluster architecture - Shard keys and distribution strategy
Security	- Role-based access control (RBAC) - Authentication and authorization - Encryption at rest and in transit
Backup, Restore, and Operations	- Restore procedures - Monitoring and maintenance - Backup strategies and tools
MongoDB CRUD Operations	- Insert, update, and delete operations - Working with documents and BSON types - Querying and filtering documents
Aggregation Framework	- Aggregation operators - Data transformation and grouping - Aggregation pipeline stages
Replication and High Availability	- Failover and elections - Replica set architecture - Read/write concerns

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) 認定 C100DBA 試験問題 (Q35-Q40):

質問 # 35
What is the output of following two commands in MongoDB: db. posts. insert({n_id":l}) db.posts.insert({"_id":l})

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

正解：D

質問 # 36
What does the following query do when performed on the posts collection? db.posts.update({_id:l},{Title:This is post with ID 1"})

A. Updates the Title of the post
B. Syntax error
C. Replaces the complete document with _id as 1 with the document specified in second parameter
D. Updating a document is possible only with $set

正解：C

質問 # 37
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 all the authors
B. Sum of likes on all the posts by an author, grouped by author
C. Average of likes on all the posts of an author, grouped by author
D. Number of posts by an author

正解：B

質問 # 38
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 " })

A. All three documents.
B. Only document _id: 2.
C. Only document _id: 3.
D. Documents _id: 2 and _id: 3.

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 # 39
Which of the following is true about aggregation framework?

A. A single aggregation framework operator can be used more than once in a query
B. Pipeline expressions are stateless except accumulator expressions used with $group operator
C. Each aggregation operator need to return atleast one of more documents as a result
D. the aggregate command operates on a multiple collection

正解：A、B、C

質問 # 40
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