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MongoDB is a popular NoSQL database that is widely used by businesses and organizations of all sizes. As the demand for MongoDB expertise continues to grow, the need for skilled MongoDB Certified DBAs has also increased. To meet this demand, MongoDB offers a certification program that helps individuals demonstrate their proficiency in administering MongoDB databases. The MongoDB Certified DBA Associate Exam, also known as the C100DBA, is the entry-level certification exam for aspiring MongoDB DBAs.

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MongoDB C100DBA Exam is designed to validate the skills and knowledge of individuals who want to become certified MongoDB database administrators. C100DBA exam is based on MongoDB 4.4, the latest version of the popular NoSQL database. Candidates are expected to have a deep understanding of MongoDB's architecture, installation and configuration, data modeling, security, and performance tuning.

MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q18-Q23):

NEW QUESTION # 18
Consider a contacts collection that contains these documents:
{ " _id " : 1, " name " : " Poppy " , " birthday " : " 03-09-1984 " }
{ " _id " : 2, " name " : " Ashley " , " birthday " : " 08-12-1990 " }
{ " _id " : 3, " name " : " Cleo " , " birthday " : " 11-02-1976 " }
What query returns the document where the field name is " Poppy " ?

Answer: D

Explanation:
MongoDB equality filters use the form { field: value }. To return the document whose name field contains the exact string " Poppy " , the query therefore uses { name: " Poppy " }, as shown in option D. This shorthand equality syntax is equivalent to explicitly using $eq. Option B uses the correct field but the value is lowercase
" poppy " . Normal MongoDB string equality is case-sensitive unless a suitable collation or another case- insensitive technique is deliberately configured, so it does not match the displayed " Poppy " value. Option A uses name.Poppy as a dot-notation path. Dot notation is for accessing a nested field inside an embedded document, but here name stores a scalar string and has no nested Poppy field. Option C searches for a field literally named Poppy, which the sample documents do not contain. This question tests the basic field/value predicate syntax used by find(). The correct command is db.contacts.find({ " name " : " Poppy " }), making option D correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - find(), equality predicates, string matching, and dot notation.


NEW QUESTION # 19
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?

Answer: D


NEW QUESTION # 20
If you have created a compound index on (A,B, C) which of the following access pattern will not be able to utilize the index?

Answer: A


NEW QUESTION # 21
Which format/standard is used by MongoDB internally to store documents?

Answer: A


NEW QUESTION # 22
You have the following index on the toys collection:
{
"manufacturer" : 1,
"name" : 1,
"date" : -1
}
Which of the following is able to use the index for the query? Check all that apply.

Answer: A,B,C


NEW QUESTION # 23
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