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| Section | Objectives |
|---|---|
| Topic 1: Data Modeling | - Embedding vs referencing - Schema design principles - Relationships in MongoDB |
| Topic 2: Aggregation Framework | - Aggregation operators - Data transformation and grouping - Aggregation pipeline stages |
| Topic 3: Indexing and Performance Tuning | - Explain plans and diagnostics - Index types and usage - Query performance optimization |
| Topic 4: Replication and High Availability | - Replica set architecture - Failover and elections - Read/write concerns |
| Topic 5: Security | - Role-based access control (RBAC) - Authentication and authorization - Encryption at rest and in transit |
| Topic 6: Sharding and Scalability | - Sharded cluster architecture - Shard keys and distribution strategy - Balancing and scaling operations |
| Topic 7: MongoDB CRUD Operations | - Insert, update, and delete operations - Querying and filtering documents - Working with documents and BSON types |
| Topic 8: Backup, Restore, and Operations | - Restore procedures - Backup strategies and tools - Monitoring and maintenance |
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NEW QUESTION # 39
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: A
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 # 40
Below is a sample document of "orders" collection
Answer: A
NEW QUESTION # 41
Consider the following documents:
You perform the following query;
How many documents will be updated by the query?
Answer: B
NEW QUESTION # 42
Below is a sample document in a given collection test.
{ a : 5, b : 3, c: 2, d : 1 >
Given a compound index { a: 1, b:l, c:l, d:l}, Which of the below query will not use in-memory sorting? Select all valid.
Answer: B,D
NEW QUESTION # 43
Which of the following needs to be performed prior to initiate backup on a sharded cluster?
Answer: A
NEW QUESTION # 44
......
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