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Prerequisites of MongoDB Certified Developer Associate Exam

The MongoDB Certified Developer Associate Exam is a multiple-choice exam.

Prerequisites:

To take the exam, you must first become a member of the MongoDB University Program. You can do this by registering for an account at MongoDB signup.

The following are recommended prerequisites for taking this exam:

• Basic knowledge of SQL and relational databases;

• An understanding of JavaScript programming;

• Working knowledge of UNIX or Linux operating systems.

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Which MongoDB C100DEV Exam objectives are covered in the exam?

The MongoDB C100DEV exam is a new certification for MongoDB developers. It has been developed to help you demonstrate your knowledge of basic MongoDB features and to help you prepare for the more advanced MongoDB Engineer Certification. MongoDB C100DEV Dumps is the best and most effective way to pass your MongoDB Certified Developer 100-Dev certification.

The exam will cover:

Basic Concepts: These include topics such as installation, configuration, and concepts like the underlying architecture of MongoDB.

Core Concepts: Topics include data modeling, documents, indexes, queries, and performance tuning.

Advanced Concepts: Advanced topics include sharding and replication across multiple instances of MongoDB.

MongoDB Certified Developer Associate Exam Sample Questions (Q200-Q205):

NEW QUESTION # 200
Assign typical operational tasks to the Mongo Developer.

• A. create user, create index
• B. read data
• C. write data, read data

Answer: C

NEW QUESTION # 201
What stages will cause a merge on the primary shard for a database?

• A. $group
• B. $out
• C. $lookup

Answer: B,C

Explanation:
$group stage can potentially result in a merge, but a random shard will be selected for the merging.
https://docs.mongodb.com/manual/reference/operator/aggregation/out/
https://docs.mongodb.com/manual/reference/operator/aggregation/lookup/
https://docs.mongodb.com/manual/reference/operator/aggregation/group/

NEW QUESTION # 202
You are working in a team on a certain application in the gaming sector. Queries similar to the following are quite often executed by your application. db.gamers.find( { level: 10, is_active: true } ) How can you speed up the execution of similar queries? Choose the best option.

• A. Create the given index:
• B. There is no way to speed up this query.
• C. Create the given index:
• D. db.gamers.createIndex( { level: 1 } )
• E. Create the given index:
• F. db.gamers.createIndex( { level: 1, is_active: 1 } )
• G. db.gamers.createIndex( { is_active: 1 } )

Answer: F

Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.createIndex/

NEW QUESTION # 203
Select all true statements about covered queries.

• A. For a covered query, you service the operation entirely from the index, which is usually faster than checking each document.
• B. All fields used in a query filter must be in the index used by the query.
• C. Covered queries don't use indexes.
• D. All fields returned in the result must be in the index used by the query.

Answer: A,B,D

Explanation:
https://docs.mongodb.com/manual/core/query-optimization/#covered-query

NEW QUESTION # 204
Data modeling. You are considering the use of nesting or references in your data model. Documents can grow rapidly. Which option would be more appropriate?

• A. Use of reference.
• B. Use of nesting.

Answer: A

Explanation:
https://docs.mongodb.com/manual/core/data-modeling-introduction/

NEW QUESTION # 205
......

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