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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: MongoDB Architecture and Deployment | 20% | - Installation and configuration - Storage engines and server management - Core concepts, JSON/BSON, data model |
| Topic 2: Monitoring, Performance and Troubleshooting | 10% | - Performance tuning and optimization - Monitoring tools and metrics - Diagnostics and resolving common issues |
| Topic 3: Replication and High Availability | 15% | - Deployment and maintenance of replica sets - Failover, elections, read/write concern - Replica set architecture and components |
| Topic 4: Security and Access Control | 15% | - Authentication mechanisms - Role-based access control - Encryption, auditing, and security best practices |
| Topic 5: Sharding and Scalability | 10% | - Query routing and cluster operations - Sharded cluster architecture - Shard keys, chunk management, balancing |
| Topic 6: Backup, Recovery and Maintenance | 10% | - Restore procedures and disaster recovery - Data consistency and integrity checks - Logical and physical backup methods |
| Topic 7: CRUD Operations and Indexing | 20% | - Index types, creation, and management - Query optimization and aggregation - Create, Read, Update, Delete operations |
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NEW QUESTION # 20
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: C,E,F,H,J
NEW QUESTION # 21
What is the replication factor for a replicated cluster with 1 primary, 3 secondaries with one of them hidden. The set also has an arbiter?
Answer: A
NEW QUESTION # 22
The________operator can be used to identify an element in the array to be updated without explicitly specifying the position of the element.
Answer: C
NEW QUESTION # 23
Consider a contacts collection that contains these documents:
{ " _id " : 1, " name " : " Poppy " , " birthday " : " 03-09-1984 " }
{ " _id " : 2, " name " : " Ashley " , " birthday " : " 08-12-1990 " }
{ " _id " : 3, " name " : " Cleo " , " birthday " : " 11-02-1976 " }
What query returns the document where the field name is " Poppy " ?
Answer: D
Explanation:
MongoDB equality filters use the form { field: value }. To return the document whose name field contains the exact string " Poppy " , the query therefore uses { name: " Poppy " }, as shown in option D. This shorthand equality syntax is equivalent to explicitly using $eq. Option B uses the correct field but the value is lowercase
" poppy " . Normal MongoDB string equality is case-sensitive unless a suitable collation or another case- insensitive technique is deliberately configured, so it does not match the displayed " Poppy " value. Option A uses name.Poppy as a dot-notation path. Dot notation is for accessing a nested field inside an embedded document, but here name stores a scalar string and has no nested Poppy field. Option C searches for a field literally named Poppy, which the sample documents do not contain. This question tests the basic field/value predicate syntax used by find(). The correct command is db.contacts.find({ " name " : " Poppy " }), making option D correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - find(), equality predicates, string matching, and dot notation.
NEW QUESTION # 24
Which of the following is correct about MongoDB?
Answer: B
NEW QUESTION # 25
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