Biography
C100DEV New Guide Files | Latest C100DEV Test Cram
We will have a dedicated specialist to check if our C100DEV learning materials are updated daily. We can guarantee that our C100DEV exam question will keep up with the changes, and we will do our best to help our customers obtain the latest information. If you choose to purchase our C100DEV quiz torrent, you will have the right to get the update for free. Once our C100DEV Learning Materials are updated, we will automatically send you the latest information about our C100DEV exam question. We assure you that our company will provide customers with a sustainable update system.
MongoDB C100DEV Certification Exam is a challenging and rewarding opportunity for developers looking to validate their skills and expertise in MongoDB development. MongoDB Certified Developer Associate Exam certification serves as a valuable credential for professionals looking to advance their careers and gain recognition for their proficiency in MongoDB. With the increasing adoption of MongoDB by businesses worldwide, the demand for MongoDB certified developers is only going to grow, making this certification an excellent investment for any developer looking to stay ahead of the curve.
>> C100DEV New Guide Files <<
Latest C100DEV Test Cram - Reliable C100DEV Test Book
With the MongoDB C100DEV practice test, users can reduce stress, and improve their confidence to succeed. The desktop-based MongoDB Certified Developer Associate Exam (C100DEV) practice test software is compatible with Windows only. But the web-based C100DEV Practice Test is compatible with all operating systems.
Being MongoDB Certified Developer Associate can provide several benefits, such as boosting a developer's career prospects, demonstrating their knowledge and skills to employers, and increasing their credibility in the industry. It also gives developers access to exclusive resources, such as the MongoDB Certified Developer Portal and a community of certified professionals around the world. Overall, the MongoDB C100DEV Exam is an excellent opportunity for developers to validate their skills and advance their careers.
MongoDB Certified Developer Associate Exam Sample Questions (Q137-Q142):
NEW QUESTION # 137
Select all true statements about covered queries.
- A. All fields used in a query filter must be in the index used by the query.
- B. For a covered query, you service the operation entirely from the index, which is usually faster than checking each document.
- 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 # 138
Given a companies collection where each document has the following structure: { _id: ObjectId("52cdef7c4bab8bd675297efd"), name: 'ZoomInfo', homepage_url: 'http://www.zoominfo.com', blog_url: 'http://zoominfoblogger.wordpress.com/', twitter_username: 'ZoomInfo', founded_year: 2000, email_address: '' } Extract all companies from this collection that have the same Twitter username as the company name. Which query should you use?
- A. db.companies.find( { $expr: { $eq: ['$name', 'twitter_username'] } } )
- B. db.companies.find( { $expr: { $eq: ['$name', '$twitter_username'] } } )
- C. db.companies.find( { $expr: { $eq: ['name', 'twitter_username'] } } )
- D. db.companies.find( { $expr: { $ne: ['$name', '$twitter_username'] } } )
Answer: B
Explanation:
db.companies.find( { $expr: { $eq: ['$name', 'twitter_username'] } } ) You have to use $ sign to evaluate twitter_username field. db.companies.find( { $expr: { $eq: ['name', 'twitter_username'] } } ) You have to use $ sign to evaluate name and twitter_username fields. https://docs.mongodb.com/manual/reference/operator/query/expr/
NEW QUESTION # 139
You have the following configuration file: storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled You have to update this file such that: * mongod sends logs to /var/mongodb/logs/mongod.log * mongod is forked and run as a daemon Select correct Answer.
- A. storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled systemLog: destination: file path: "/var/mongodb/logs/mongod.log"
- B. storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled processManagement: fork: true
- C. storage: dbPath: /var/mongodb/db net: bindIp: localhost port: 27000 security: authorization: enabled systemLog: destination: file path: "/var/mongodb/logs/mongod.log" processManagement: fork: true
Answer: C
Explanation:
https://docs.mongodb.com/manual/reference/configuration-options/
NEW QUESTION # 140
Select all true statements about differences between using aggregate() and find() methods?
- A. find() allows us to compute and reshape data in the cursor.
- B. aggregate() allows us to compute and reshape data in the cursor (like $group, $min and other stages).
- C. Any aggregation pipeline can be translated into a find() query.
- D. Any find() query can be translated into an aggregation pipeline.
Answer: B,D
Explanation:
https://docs.mongodb.com/manual/reference/method/db.collection.find/ https://docs.mongodb.com/manual/reference/method/db.collection.aggregate/
NEW QUESTION # 141
We have a restaurants collection with the following document structure: { _id: ObjectId("5eb3d668b31de5d588f42a7d"), address: { building: '605', coord: [ -74.0060152, 40.7372653 ], street: 'Hudson Street', zipcode: '10014' }, cuisine: 'French', grades: [ { date: ISODate("2014-06-30T00:00:00.000Z"), grade: 'A', score: 10 }, { date: ISODate("2013-05-20T00:00:00.000Z"), grade: 'A', score: 13 }, { date: ISODate("2012-12-11T00:00:00.000Z"), grade: 'A', score: 9 } ], name: 'La Ripaille Restaurant' } We need to use Aggregation Framework to calculate the total number of restaurants for top 5 cuisine (sorted in descending order by the number of restaurants). Expected output: [ { _id: 'American', total_restaurants: 6183 }, { _id: 'Chinese', total_restaurants: 2418 }, { _id: 'Cafao/Coffee/Tea', total_restaurants: 1214 }, { _id: 'Pizza', total_restaurants: 1163 }, { _id: 'Italian', total_restaurants: 1069 } ] Which pipeline should you use?
- A. [{ $group: { _id: "$cuisine", total_restaurants: { $sum: 1 } } }, { $sort: { total_restaurants: 1 } }, { $limit: 5 }]
- B. [{ $group: { _id: "$cuisine", total_restaurants: { $sum: 1 } } }, { $sort: { total_restaurants: -1 } }, { $limit: 5 }]
- C. [{ $group: { _id: "cuisine", total_restaurants: { $sum: 1 } } }, { $sort: { total_restaurants: -1 } }, { $limit: 5 }]
- D. [{ $group: { _id: "$cuisine", total_restaurants: { $sum: 1 } } }, { $limit: 5 }, { $sort: { total_restaurants: -1 } }]
Answer: B
Explanation:
https://docs.mongodb.com/manual/aggregation/
NEW QUESTION # 142
......
Latest C100DEV Test Cram: https://www.pass4surecert.com/MongoDB/C100DEV-practice-exam-dumps.html
