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MongoDB C100DBA Exam Syllabus Topics:

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

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q32-Q37):

NEW QUESTION # 32
Given the following MongoDB documents in the cars collection:
{
" carid " : 1,
" make " : " Toyota " ,
" model " : " Celica " ,
" mileage " : 143121,
" color " : " Red " ,
" year " : 2003,
" features " : [ " Leather Interior " , " 2WD " , " CD Player " ]
},
{
" carid " : 2,
" make " : " Honda " ,
" model " : " Civic " ,
" mileage " : 12000,
" color " : " White " ,
" year " : 2020,
" features " : [ " Cloth Interior " , " Sun Roof " , " XM Radio " ]
},
{
" carid " : 3,
" make " : " Tesla " ,
" model " : " Model S " ,
" mileage " : 5,
" color " : " Silver " ,
" year " : 2022,
" features " : [ " Leather Interior " , " Sun Roof " , " Auto Pilot " ]
}
What documents are returned from running the following $in query?
db.cars.find({ " features " : { $in: [ " Leather Interior " , " 2WD " , " Auto Pilot " ]}})

Answer: A

Explanation:
The $in query predicate matches a document when the queried field equals any value listed in the $in array.
When the target field is itself an array, MongoDB compares the array elements against the values supplied to
$in; one matching element is sufficient. Car 1 qualifies because its features array contains both " Leather Interior " and " 2WD " . Car 3 also qualifies because its array contains " Leather Interior " and " Auto Pilot " .
Car 2 contains " Cloth Interior " , " Sun Roof " , and " XM Radio " , none of which are in the predicate array, so it is excluded. A common mistake is to read $in as requiring all values to be present. It does not: the semantics are an OR-style membership test. If the requirement were to ensure that several specified values were all present in an array, a different construct such as $all would be appropriate. Therefore, the result consists of the Toyota Celica and Tesla Model S documents only, making option A correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - querying documents, arrays, and the $in predicate.


NEW QUESTION # 33
Consider the following posts document:

Which of the following queries will return the documents but with only the first two tags in the tags array?

Answer: D


NEW QUESTION # 34
What does the output x of the following MongoDB aggregation query result into; db.posts.aggregate( [ {
$group: { _id; "$author", x: { $sum: $likes } } } ] )

Answer: A


NEW QUESTION # 35
You are comparing values of different BSON types in mongodb. You want to compare from lowest to highest.
Which comparison order is used?