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| Section | Weight | Objectives |
|---|---|---|
| Replication and High Availability | 15% | - Failover, elections, read/write concern - Deployment and maintenance of replica sets - Replica set architecture and components |
| MongoDB Architecture and Deployment | 20% | - Storage engines and server management - Installation and configuration - Core concepts, JSON/BSON, data model |
| CRUD Operations and Indexing | 20% | - Query optimization and aggregation - Create, Read, Update, Delete operations - Index types, creation, and management |
| Sharding and Scalability | 10% | - Sharded cluster architecture - Shard keys, chunk management, balancing - Query routing and cluster operations |
| Security and Access Control | 15% | - Encryption, auditing, and security best practices - Role-based access control - Authentication mechanisms |
| Backup, Recovery and Maintenance | 10% | - Restore procedures and disaster recovery - Logical and physical backup methods - Data consistency and integrity checks |
| Monitoring, Performance and Troubleshooting | 10% | - Monitoring tools and metrics - Performance tuning and optimization - Diagnostics and resolving common issues |
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NEW QUESTION # 60
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 # 61
In a sharded replica set environment, the w Option provides ability for write concern and j Option provides ability for the data to be written on disk journal. Consider that we have a seven member replica set and we want to assure that the writes are committed to journal. What should be the value of j?
Answer: B
NEW QUESTION # 62
You perform the following query on the sayings collection, which has the index
{ quote : "text" }:
Assuming the documents below are in the collection, which ones will the following query return? Check all that apply.
db.sayings.find( { $text : { $search : "fact find" } } )
Answer: A,C
NEW QUESTION # 63
Below is a sample document of "orders" collection
Answer: A
NEW QUESTION # 64
A MongoDB collection named users contains sample documents with fields including name, age, address, description, city, and occupation.
The administrator uses the following query to perform a collection scan:
db.users.find({ city: " New York " , occupation: " Software Engineer " }) What compound index will improve the performance of the query the MOST?
Answer: A,D
Explanation:
The query contains equality predicates on both city and occupation, so an efficient compound index should contain both fields. Options A and C include only one query predicate plus the unrelated name field, forcing MongoDB to perform additional filtering that the index cannot resolve. Options B and D both contain the complete predicate set. For a query consisting entirely of equality predicates, MongoDB does not require those equality keys to appear in a particular order relative to one another for the query itself; { city: 1, occupation: 1 } and { occupation: 1, city: 1 } can both support the two equality conditions effectively. The original question appears to expect B because it mirrors the field order used in the query, but that distinction is not technically required under MongoDB ' s equality-key guidance. Field order becomes much more significant when the workload also needs a particular index prefix, sort order, range predicate, or when one ordering better supports additional common queries. Accordingly, the technically accurate review result is B and D, with B being the likely intended exam choice.
Study Guide reference/topic:Indexing and Query Optimization - compound indexes, equality predicates, and index key ordering.
NEW QUESTION # 65
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