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MongoDB C100DBA Exam Syllabus Topics:

Section	Objectives
Topic 1: Application Administration	- Security and Access Control 1. Authentication 2. Role-Based Access Control 3. Authorization 4. User Management
Topic 2: CRUD Operations	- Data Manipulation 1. Read Queries 2. Delete Operations 3. Update Operations 4. Insert Operations
Topic 3: Replication	- Replica Sets 1. Elections 2. Write Concerns 3. Read Preferences 4. Primary and Secondary Nodes
Topic 4: Sharding	- Cluster Scaling 1. Chunk Distribution 2. Shard Keys 3. Query Routing 4. Balancer Operations
Topic 5: Server Administration	- Database Operations 1. Monitoring 2. Storage Management 3. Configuration Management 4. Backup and Restore
Topic 6: Philosophy and Features	- MongoDB Architecture 1. High Availability Concepts 2. Scalability Concepts 3. Collections and Databases 4. Document Model
Topic 7: Indexes	- Index Management 1. Index Selection 2. Query Performance Optimization 3. Compound Indexes 4. Single Field Indexes

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q95-Q100):

NEW QUESTION # 95
Which mongodb tools allow us to work with our data in a human readable format?

A. mongostat
B. mongoimport
C. mongoexport
D. mongodump

Answer: B,C

NEW QUESTION # 96
Which of the following collections stores authentication credentials in MongoDB?

A. test.users
B. users.users
C. local.users
D. system.users

Answer: D

NEW QUESTION # 97
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, " rating " : 1 })
B. db.movies.createIndex({ " rating " : 1, " year " : -1 })
C. db.movies.createIndex({ " rating " : -1, " year " : 1 })
D. db.movies.createIndex({ " year " : 1, " title " : 1, " rating " : -1 })

Answer: A

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 # 98
Consider the following example document from the sample collection. All documents in this collection have the same schema.

Which of the following queries will replace this with the document.

A. db.sample.update( { "_id" : 3 } , { "$set" : { "_id" : 7 , "c" : 4 } } )
B. db.sample.update( { "_id" : 3 } , { "_id" : 7 , "c" : 4 } )
C. db.sample.update( { "_id" : 3 } , { "_id" : 7 , "c" : 4 } , { "justOne" : true } ) // This operation cannot be done with a single query.
D. db.sample.update( { "_id" : 3 } , { "_id" : 7 , "c" : 4 , { "$unset" : [ "a" , "b" ] } } )

Answer: D

NEW QUESTION # 99
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 an author, grouped by author
B. Number of posts by an author
C. Sum of likes on all the posts by all the authors
D. Average of likes on all the posts of an author, grouped by author

Answer: A

NEW QUESTION # 100
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