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MongoDB C100DBA Exam Syllabus Topics:

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

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q77-Q82):

NEW QUESTION # 77
'mongoimport' command is used for

Answer: D


NEW QUESTION # 78
Which of the documents below will be retrieved by the following query? Assume the documents are stored in a collection called "sample". Check all that apply.
db.sample.find( { "$or" : [ { "a" : { "$in" : [ 3, 10] > }, { "b" : { "$lt" : 2 > > ] > )

Answer: A,E,G,H,I


NEW QUESTION # 79
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?

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 # 80
Which is the correct order (lowest to highest) in which MongoDB compares the BSON types?

Answer: C


NEW QUESTION # 81
Given a collection posts as shown below having a document array comments, which of the following command will create an index on the comment author descending?