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The MongoDB C100DBA certification exam offers a great opportunity to advance your career. With the MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) certification exam beginners and experienced professionals can demonstrate their expertise and knowledge. After passing the MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) (C100DBA) exam you can stand out in a crowded job market. The MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) (C100DBA) certification exam shows that you have taken the time and effort to learn the necessary skills and have met the standards in the market.

MongoDB C100DBA exam consists of 60 multiple-choice questions that cover a wide range of topics related to MongoDB administration. C100DBA exam is conducted online and can be taken from anywhere in the world. The duration of the exam is 90 minutes, and a passing score of 65% or above is required to obtain the certification.

To prepare for the C100DBA exam, MongoDB offers a variety of resources, including an exam study guide, online courses, and practice exams. C100DBA Exam Study Guide covers all the topics included in the exam and provides sample questions and answers. MongoDB University offers several online courses, including MongoDB Basics, MongoDB for DBAs, and MongoDB for Developers, which cover the topics included in the exam. MongoDB also provides practice exams to help candidates assess their readiness for the actual exam.

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C100DBA test questions: MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) & C100DBA pass for sure

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The C100DBA certification exam is based on the latest version of MongoDB, version 4.4. It covers a wide range of topics related to database administration, including installation and configuration, performance optimization, security, backup and recovery, and data modeling. C100DBA Exam is designed to test the skills and knowledge of professionals who work with MongoDB databases on a daily basis and are responsible for ensuring that they are running smoothly and efficiently.

MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q168-Q173):

NEW QUESTION # 168
Consider a collection posts which has fields: Jd, post_text, post_author, post_timestamp, post_tags etc.
Which of the following query retrieves ONLY the key named post_text from the first document retrieved?

A. db.posts.finOne({},{post_text:1})
B. db.posts.finOne({},{_id:0, post_text:1})
C. db.posts.findOne({post_text: 1})
D. db.posts.find({},{_id:Of post_text:1})

Answer: B

NEW QUESTION # 169
Aggregation Pipelines have a limit of:

A. 2 MB document and no limit on RAM
B. No limit on document and 100 MB RAM
C. 2 MB document and 100 MB RAM
D. 16 MB document and 100 MB RAM

Answer: D

NEW QUESTION # 170
Which of the following commands will return all the posts with number of likes greater than 100 and less than 200, both inclusive?

A. db.posts.find({ likes : { $gte : 100, $lt : 200 } } );
B. db.posts.find({ likes : { $gt : 100 , $lte : 200 } } );
C. db.posts.find({ likes : { $gte : 100 , $lte : 200 } } );
D. db.posts.find({ likes : { $gt : 100, $lt : 200 > > );

Answer: C

NEW QUESTION # 171
What is the equivalent command in MongoDB for the following SQL query?
SELECT * FROM posts WHERE author like "%john%"

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

Answer: C

NEW QUESTION # 172
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. Documents _id: 2 and _id: 3.
B. Only document _id: 2.
C. All three documents.
D. Only document _id: 3.

Answer: A

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 # 173
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