Reliable C100DBA training materials bring you the best C100DBA guide exam: MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) - Exam4Labs

Up to now our C100DBA practice materials consist of three versions, all those three basic types are favorites for supporters according to their preference and inclinations. On your way moving towards success, our C100DBA preparation materials will always serves great support. As long as you have any questions on our C100DBA Exam Questions, you can just contact our services, they can give you according suggestion on the first time and ensure that you can pass the C100DBA exam for the best way.

MongoDB C100DBA Exam Syllabus Topics:

Section	Objectives
Indexes	- Index Management 1. Query Performance Optimization 2. Index Selection 3. Single Field Indexes 4. Compound Indexes
Replication	- Replica Sets 1. Primary and Secondary Nodes 2. Elections 3. Write Concerns 4. Read Preferences
Sharding	- Cluster Scaling 1. Shard Keys 2. Query Routing 3. Chunk Distribution 4. Balancer Operations
Server Administration	- Database Operations 1. Monitoring 2. Configuration Management 3. Backup and Restore 4. Storage Management
Philosophy and Features	- MongoDB Architecture 1. Scalability Concepts 2. High Availability Concepts 3. Collections and Databases 4. Document Model
CRUD Operations	- Data Manipulation 1. Insert Operations 2. Update Operations 3. Read Queries 4. Delete Operations
Application Administration	- Security and Access Control 1. Authentication 2. User Management 3. Authorization 4. Role-Based Access Control

>> Practice C100DBA Exams Free <<

Pass Guaranteed MongoDB - C100DBA - MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Accurate Practice Exams Free

Do you long to get the C100DBA certification to improve your life? Are you worried about how to choose the C100DBA learning product that is suitable for you? If your answer is yes, we are willing to tell you that you are a lucky dog, because you meet us, it is very easy for us to help you solve your problem. The C100DBA latest question from our company can help people get their C100DBA certification in a short time.

MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q68-Q73):

NEW QUESTION # 68
JSON stands for

A. None of the above
B. JavaScript Object Notice
C. JavaScript Object Notation
D. JavaScript Object Naming

Answer: C

NEW QUESTION # 69
Consider that you have a collection called population which has fields state and city. Which of the following query will calculate the population grouped by state and city?

A. db.population.aggregate( [{ $group: { _id: { city: " $city " },pop: { $sum: " $pop " } } }] )Multi Document Transaction is not supported by MongoDB
B. db.population.aggregate( [{ $group: { _id: { state: Estate " , city: " $city " },pop: { $sum: 1 > > > ] )
C. db.population.aggregate( [{ $group: { _id: { state: Estate " , city: " $city " },pop: { $sum: " $pop " } }
}] )
D. db.population.aggregate( [{ $group: { _id: { state: " $state " , city: " $city " },pop: { $pop: 1 } } }] )

Answer: C

NEW QUESTION # 70
What does the output x of the following MongoDB aggregation query result into; db.posts.aggregate( [ {
$group: { _id; "$author", x: { $sum: $likes } } } ] )

A. Sum of likes on all the posts by all the authors
B. Average of likes on all the posts of an author, grouped by author
C. Number of posts by an author
D. Sum of likes on all the posts by an author, grouped by author

Answer: D

NEW QUESTION # 71
A user stores movie data in a collection called movies. The collection contains thousands of documents.
A sample document looks like this:
{ " title " : " Titanic " , " year " : 1997, " rating " : 8.6 }
The user runs the following query to sort movies first by year, and then by rating:
db.movies.find().sort({ " year " : 1, " rating " : -1 })
Which index would improve the query ' s performance the MOST?

A. db.movies.createIndex({ " year " : 1, " title " : 1, " rating " : -1 })
B. db.movies.createIndex({ " rating " : -1, " year " : 1 })
C. db.movies.createIndex({ " rating " : 1, " year " : -1 })
D. db.movies.createIndex({ " year " : -1, " rating " : 1 })

Answer: D

Explanation:
MongoDB can use a compound index to satisfy a multi-field sort when the sort keys appear in the same sequence as the index keys and the requested directions either match the index pattern or are the exact reverse of the entire pattern. The query sorts by { year: 1, rating: -1 }. Option B defines { year: -1, rating: 1 }, which is the complete inverse, so MongoDB can scan that index backward and produce year ascending with rating descending without a blocking in-memory sort. Option A puts title between year and rating; because there is no equality condition fixing title, the index cannot provide a global ordering by { year, rating } across all titles. Options C and D put rating before year, so their primary index ordering does not match the query ' s primary sort key. For multi-field sorts, field sequence is just as important as direction. Therefore B is the strongest index among the presented choices. A forward index { year: 1, rating: -1 } would also be ideal, but it is not offered.
Study Guide reference/topic:Indexing and Query Optimization - compound index sort order, reverse traversal, and index prefixes.

NEW QUESTION # 72
The MongoDB explain() method does not support which of the following verbosity mode:

A. queryPlanner
B. allPlansExecution
C. executionStats
D. customExecutionStats

Answer: C

NEW QUESTION # 73
......

Now is not the time to be afraid to take any more difficult C100DBA certification exams. Our C100DBA learning quiz can relieve you of the issue within limited time. Our website provides excellent C100DBA learning guidance, practical questions and answers, and questions for your choice which are your real strength. You can take the C100DBA Training Materials and pass it without any difficulty.

C100DBA Reliable Test Vce: https://www.exam4labs.com/C100DBA-practice-torrent.html