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Who needs the MongoDB C100DEV Certification?

The MongoDB Certified Developer Associate Certification is ideal for individuals who have:

• Experience working with relational databases like SQL Server or Oracle
• A technical background with experience in software development or data engineering
• A solid understanding of object-oriented programming concepts such as classes, inheritance, encapsulation, and polymorphism

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If you want to get started with MongoDB, then you should consider getting the MongoDB Certified Developer Associate certification. As a MongoDB Certified Developer Associate, you will be able to use key data modeling skills and concepts, as well as get an understanding of how to use MongoDB effectively in your applications. Our complete package free demo can help improve your preparation for the certified professionals exam pass guarantee. If you fail the exam, we will refund your full purchase price. The best way to be successful in the Developer Associate by getting MongoDB C100DEV Certified is by studying hard and taking practice exams. Read these tips on how you can do that: Study hard: The first thing you need to do is to study hard. You can't just memorize things and expect them to come out right in the exam. You need to understand concepts and practice them until they become second nature. And don't forget about practice exams! They are very useful when it comes to preparing for exams like these because they allow you to test yourself before going into the actual exam room. Take practice exams: While studying is important and all, practice exams are even more important if you want to pass your exam on the first try! MongoDB C100DEV Dumps help give you a sense of what kinds of questions will appear on your exam so that when you go into the actual room, there won't be any surprises or unexpected questions popping up! >> C100DEV Latest Study Guide <<

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MongoDB C100DEV Exam Reference

MongoDB Certified Developer Associate Exam Sample Questions (Q23-Q28):

NEW QUESTION # 23
What is a MongoDB view?

• A. MongoDB does not support views.
• B. It is a different name for collection.
• C. A MongoDB view is a queryable object whose contents are defined by an aggregation pipeline on other collections or views.

Answer: C Explanation:
https://docs.mongodb.com/manual/core/views/
NEW QUESTION # 24
To ensure high availability in the event of a server failure, which of the following MongoDB features should you use?

• A. Proper storage engine.
• B. Replication.
• C. Sharding.
• D. Properly defined indexes.
• E. Properly defined views.

Answer: B Explanation:
https://docs.mongodb.com/manual/replication/#replication
NEW QUESTION # 25
Complete the sentence below.

• A. have an field_id index.
• B. have no index.
• C. By default, all MongoDB user-created collections...
• D. have an _id index.

Answer: D Explanation:
https://docs.mongodb.com/manual/core/document/
https://docs.mongodb.com/manual/reference/method/ObjectId/
NEW QUESTION # 26
Given a movies collection where each document has the following structure: { _id: ObjectId('573a1390f29313caabcd60e4'), genres: [ 'Short', 'Comedy', 'Drama' ], title: 'The Immigrant', year: 1917, imdb: { rating: 7.8, votes: 4680, id: 8133 }, countries: [ 'USA' ] } Which of the following queries will find all the movies that have more votes than the year in which they were released?

• A. db.movies.find({ $expr: { $gt: ["$imdb.votes", "$year"] } } )
• B. db.movies.find({ $expr: { $lt: ["$imdb.votes", "$year"] } } )
• C. db.movies.find({ $expr: { $gt: ["imdb.votes", "year"] } } )

Answer: A Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.find/
NEW QUESTION # 27
Suppose you have a following index for footballpalyers collection: { "lastname": 1, "details.country": 1, "details.club": 1, "age": 1 } Determine which queries are able to successfully use a given index for both filtering and sorting.

• A. db.footballplayers.find( { "lastname": "Lewandowski" } ).sort( { "details.country": 1, "details.club": 1 } )
• B. db.footballplayers.find( { "lastname": { "$gte": "L" } } ).sort( { "details.club": -1 } )
• C. db.footballplayers.find( { "lastname": "Lewandowski", "details.country": { "$gt": "D" } } ).sort( { "details.country": 1 } )

Answer: A,C Explanation:
db.footballplayers.find( { "lastname": "Lewandowski", "details.country": { "$gt": "D" } } ).sort( { "details.country": 1 } ) Yes, because it uses the same field for equality and sorting. db.footballplayers.find( { "lastname": { "$gte": "L" } } ).sort( { "details.club": -1 } ) No, this query doesn't use equality on the index prefix.
NEW QUESTION # 28
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