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MongoDB C100DBA Exam Overview:

Certification Vendor:	MongoDB
Exam Name:	MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4)
Exam Number:	C100DBA
Real Exam Qty:	60-66
Passing Score:	490/600
Related Certifications:	MongoDB Certified Developer Associate
Available Languages:	English
Exam Format:	Multiple Response, Multiple Choice
Exam Price:	$150 USD
Certificate Validity Period:	Not officially specified
Exam Duration:	90 minutes
Sample Questions:	MongoDB C100DBA Sample Questions
Exam Way:	Online proctored or authorized testing center
Pre Condition:	Recommended knowledge of fundamental database concepts, basic system administration, and basic JavaScript. No mandatory prerequisite exam.
Official Syllabus URL:	https://learn.mongodb.com/pages/mongodb-associate-database-administrator-exam

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Question C100DBA Explanations | C100DBA Latest Exam Review

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MongoDB Certified DBA Associate Exam (C100DBA) is an excellent opportunity for individuals who want to validate their skills in managing MongoDB databases. C100DBA Exam covers a wide range of topics and evaluates your skills in real-world scenarios. MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) certification is essential for individuals who want to pursue a career as a MongoDB DBA and enhances their resume to stand out from other candidates in the job market.

MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q98-Q103):

NEW QUESTION # 98
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. Only document _id: 2.
B. Only document _id: 3.
C. Documents _id: 2 and _id: 3.
D. All three documents.

Answer: C

Explanation:
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.

NEW QUESTION # 99
Which command is used to determine storage capacity of specific database?

A. mongostat
B. constats
C. dbstats
D. mongotop

Answer: C

NEW QUESTION # 100
Consider that our posts collection contains an array field called tags that contains tags that the user enters. {

Which of the following commands will find all the posts that have been tagged as tutorial.

A. db.posts.find( { tags : "tutorial" } );
B. db.posts.findInArray( { tags : "tutorial" > );
C. db.posts.find( { tags : ["tutorial"] } );
D. db.posts.find( { $array : {tags: "tutorial") > );

Answer: A

NEW QUESTION # 101
Consider that the posts collection contains an array called ratings which contains ratings given to the post by various users in the following format:

Which of the following query will return all the documents where the ratings array contains elements that in some combination satisfy the query conditions?

A. db.inventory.find( { ratings: { ratings.$: { $gt: 5, $lt: 9 } } } )
B. db.inventory.find( { ratings: { $elemMatch: { $gte: 3, $lte: 6 } } } )
C. db.inventory.find( { ratings: { $elemMatch: { $gt: 3, $lt: 6 }
D. db.inventory.find( { ratings: { ratings: { $gt: 5, $lt: 9 } } } )

Answer: D

NEW QUESTION # 102
A MongoDB collection named users contains sample documents with fields including name, age, address, description, city, and occupation.
The administrator uses the following query to perform a collection scan:
db.users.find({ city: " New York " , occupation: " Software Engineer " }) What compound index will improve the performance of the query the MOST?

A. db.users.createIndex({ city: 1, occupation: 1 })
B. db.users.createIndex({ city: 1, name: 1 })
C. db.users.createIndex({ occupation: 1, name: 1 })
D. db.users.createIndex({ occupation: 1, city: 1 })

Answer: A,D

Explanation:
The query contains equality predicates on both city and occupation, so an efficient compound index should contain both fields. Options A and C include only one query predicate plus the unrelated name field, forcing MongoDB to perform additional filtering that the index cannot resolve. Options B and D both contain the complete predicate set. For a query consisting entirely of equality predicates, MongoDB does not require those equality keys to appear in a particular order relative to one another for the query itself; { city: 1, occupation: 1 } and { occupation: 1, city: 1 } can both support the two equality conditions effectively. The original question appears to expect B because it mirrors the field order used in the query, but that distinction is not technically required under MongoDB ' s equality-key guidance. Field order becomes much more significant when the workload also needs a particular index prefix, sort order, range predicate, or when one ordering better supports additional common queries. Accordingly, the technically accurate review result is B and D, with B being the likely intended exam choice.
Study Guide reference/topic:Indexing and Query Optimization - compound indexes, equality predicates, and index key ordering.

NEW QUESTION # 103
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