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MongoDB C100DBA Exam Syllabus Topics:

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

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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q34-Q39):

NEW QUESTION # 34
Below is a sample document of "orders" collection

Answer: A


NEW QUESTION # 35
A collection named scores includes:
[
{ _id: 1, home_score: 6, away_score: [ 5, 7 ] },
{ _id: 2, home_score: [ 8, 6 ], away_score: 9 },
{ _id: 3, home_score: [ 5, 8 ], away_score: [ 9, 6 ] },
{ _id: 4, home_score: 5, away_score: 10 }
]
Given the following index:
db.scores.createIndex( { home_score: 1, away_score: 1 } )
What document will cause the index to fail?

Answer: C

Explanation:
The proposed index is a compound index across home_score and away_score. MongoDB supports compound multikey indexes, but it imposes an important restriction: for any one indexed document, no more than one field covered by the compound index may contain an array. Document 1 is valid because only away_score is an array. Document 2 is also valid because only home_score is an array. Document 4 contains scalar values for both fields. Document 3 contains arrays in both indexed fields: home_score: [5,8] and away_score: [9,6] .
Indexing that document would require a compound multikey index to expand two independent array dimensions, which MongoDB prohibits. Therefore document 3 prevents the compound index from being valid. The restriction is important because a single multikey field already creates multiple index keys per document; allowing multiple independently array-valued keys in the same compound index would create ambiguous and potentially combinatorial key combinations. DBAs designing indexes over document schemas with arrays must understand these multikey constraints before building compound indexes. The failing document is _id:3, making option D correct.
Study Guide reference/topic:Indexing and Query Optimization - multikey indexes, compound multikey restrictions, and array-valued fields.


NEW QUESTION # 36
The MongoDB explain() method does not support which of the following verbosity mode:

Answer: B


NEW QUESTION # 37
Consider the following documents:

You perform the following query;

How many documents will be updated by the query?

Answer: E


NEW QUESTION # 38
If you have created a compound index on (A,B, C) which of the following access pattern will not be able to utilize the index?

Answer: A


NEW QUESTION # 39
......

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