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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Replication and High Availability | 15% | - Replica set architecture and components - Deployment and maintenance of replica sets - Failover, elections, read/write concern |
| Topic 2: Security and Access Control | 15% | - Role-based access control - Encryption, auditing, and security best practices - Authentication mechanisms |
| Topic 3: CRUD Operations and Indexing | 20% | - Query optimization and aggregation - Create, Read, Update, Delete operations - Index types, creation, and management |
| Topic 4: Monitoring, Performance and Troubleshooting | 10% | - Performance tuning and optimization - Monitoring tools and metrics - Diagnostics and resolving common issues |
| Topic 5: Backup, Recovery and Maintenance | 10% | - Restore procedures and disaster recovery - Data consistency and integrity checks - Logical and physical backup methods |
| Topic 6: Sharding and Scalability | 10% | - Sharded cluster architecture - Query routing and cluster operations - Shard keys, chunk management, balancing |
| Topic 7: MongoDB Architecture and Deployment | 20% | - Core concepts, JSON/BSON, data model - Storage engines and server management - Installation and configuration |
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NEW QUESTION # 58
Which of the following commands can cause the database to be locked?
Answer: A
NEW QUESTION # 59
Consider a clothing collection that contains these documents:
{ " _id " : 1, " item " : " sweater " , " sizes " : [ " XS " , " S " ] }
{ " _id " : 2, " item " : " t-shirt " , " sizes " : [ " S " , " M " , " XL " ] }
{ " _id " : 3, " item " : " vest " , " sizes " : [ " M " , " L " , " XL " , " XXL " ] } What does the following query return?
db.clothing.find({ " sizes " : " M " })
Answer: D
Explanation:
MongoDB supports direct equality matching against elements contained in an array. When the predicate is { sizes: " M " } and sizes is an array field, a document matches when at least one element of the array equals the scalar value " M " . Document 1 contains only " XS " and " S " , so it does not match. Document 2 contains " M " in [ ' S ' , ' M ' , ' XL ' ], and document 3 contains " M " in [ ' M ' , ' L ' , ' XL ' , ' XXL ' ]; both therefore match. No $elemMatch expression is required for this simple scalar membership test. $elemMatch becomes important when multiple conditions must be satisfied by the same array element, particularly for arrays of embedded documents or compound conditions. This array equality behavior is a core part of MongoDB ' s document query model and allows concise filtering of array-valued fields. The correct result is consequently the t-shirt and vest documents, which corresponds to option D. This same matching behavior applies consistently whenever a scalar predicate targets values stored inside a BSON array field.
Study Guide reference/topic:MongoDB Architecture and Core Operations - querying array fields and equality predicates.
NEW QUESTION # 60
Addding the index {a:l} can potentially decrease the speed of which of the following operations? Check all that apply.
Answer: A,C
NEW QUESTION # 61
The difference between $push and $addToSet is:
Answer: C
NEW QUESTION # 62
The MongoDB explain() method does not support which of the following verbosity mode:
Answer: A
NEW QUESTION # 63
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