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MongoDB C100DBA certification exam is an excellent opportunity for individuals who want to demonstrate their skills and knowledge in MongoDB database administration. MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) certification is globally recognized, and it can help the candidate to enhance their career opportunities in the field of database administration. C100DBA Exam covers a wide range of topics related to database administration, and passing the exam requires a solid understanding of MongoDB concepts and hands-on experience in database administration.
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MongoDB C100DBA Certification Exam is designed for database administrators who work with MongoDB databases. C100DBA exam is based on MongoDB version 4.4 and assesses the skills and knowledge required to install, configure, manage, and maintain MongoDB databases. MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) certification is ideal for individuals who want to demonstrate their expertise in MongoDB database administration and advance their career in this field.
NEW QUESTION # 125
Using an arbiter allows one to easily ensure an odd number of voters in replica sets. Why is this important?
Answer: D
NEW QUESTION # 126
What does the output x of the following MongoDB aggregation query result into; db.posts.aggregate( [ { $group: { _id; "$author", x: { $sum: $likes } } } ] )
Answer: A
NEW QUESTION # 127
To add a new user and enable authentication in MongoDB, which of the following steps need be executed?
Answer: C
NEW QUESTION # 128
Write the command(s) are correct to enable sharding on a database " testdb " and shard a collection " testCollection " with _id as shard key.
Answer:
Explanation:
sh.enableSharding("testdb") & sh.shardCollection("testdb.testCollection", {_id : 1 }, true )
NEW QUESTION # 129
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 " })
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 # 130
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