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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
|
| Backup, Recovery and Maintenance | 10% | - Logical and physical backup methods - Data consistency and integrity checks - Restore procedures and disaster recovery
|
| Security and Access Control | 15% | - Role-based access control - Authentication mechanisms - Encryption, auditing, and security best practices
|
| MongoDB Architecture and Deployment | 20% | - Core concepts, JSON/BSON, data model - Installation and configuration - Storage engines and server management
|
| Monitoring, Performance and Troubleshooting | 10% | - Diagnostics and resolving common issues - Monitoring tools and metrics - Performance tuning and optimization
|
| CRUD Operations and Indexing | 20% | - Query optimization and aggregation - Create, Read, Update, Delete operations - Index types, creation, and management
|
| Sharding and Scalability | 10% | - Query routing and cluster operations - Shard keys, chunk management, balancing - Sharded cluster architecture
|
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MongoDB Certified DBA Associate Exam (Based on MongoDB 4.4) Sample Questions (Q50-Q55):
NEW QUESTION # 50
Below is a sample document of " orders " collection

Answer:
Explanation:
$project
NEW QUESTION # 51
What does the following $slice query return using the following command? db.posts.find( {}, { comments: {
$slice: [ -10, 5 ] } } )
- A. Returns 5 comments, beginning with the first 10 items
- B. Returns 5 comments, beginning with the last 10 items
- C. Returns 10 comments, beginning with the last
- D. Returns 10 comments, beginning with the first
Answer: B
NEW QUESTION # 52
A database administrator maintains a MongoDB database that stores scientific papers. A paper with DOI
10.1000/xyz123 is no longer relevant and needs to be removed.
What query should the administrator use to delete the paper with the DOI equal to 10.1000/xyz123?
- A. db.scientificPapers.deleteOne({ scientificPapers: " orders " }, { doi: " 10.1000/xyz123 " })
- B. db.scientificPapers.findOneAndDelete({ scientificPapers: " orders " , doi: " 10.1000/xyz123 " })
- C. db.scientificPapers.deleteOne({ doi: " 10.1000/xyz123 " })
- D. db.scientificPapers.drop({ doi: " 10.1000/xyz123 " })
Answer: C
Explanation:
db.collection.deleteOne() deletes a single document that matches the supplied filter, so the direct operation is db.scientificPapers.deleteOne({ doi: " 10.1000/xyz123 " }). The DOI is the identifying criterion, and no additional filter is required. Option A is dangerous and incorrect: drop() removes the entire collection and its indexes rather than deleting a filtered document. Option B uses findOneAndDelete(), which can delete a single matching document, but the displayed filter also requires a nonexistent or inappropriate field/value pair, scientificPapers: " orders " , so the target document would not match. Option D misunderstands the method signature. The second argument to deleteOne() is an options document for settings such as write concern, collation, or hint; it is not a second query predicate. In production, a unique index on DOI could also ensure that the business identifier is unique and make the deletion highly selective. Among the presented commands, only option C cleanly and correctly deletes the one scientific-paper document identified by the specified DOI.
Study Guide reference/topic:MongoDB Architecture and Core Operations - delete operations, deleteOne(), filters, and collection management.
NEW QUESTION # 53
Suposse tou have the following collection with only 2 documents:

If you run an aggregation query and use { $unwind: " $traits " } as the first stage, how many documents will be passed to the next stage of the aggregation pipeline?
Answer: B
NEW QUESTION # 54
Consider that our posts collection contains an array field called tags that contains tags that the user enters. {

Which of the following commands will find all the posts that have been tagged as tutorial.
- A. db.posts.find( { $array : {tags: " tutorial " ) > );
- B. db.posts.findInArray( { tags : " tutorial " > );
- C. db.posts.find( { tags : [ " tutorial " ] } );
- D. db.posts.find( { tags : " tutorial " } );
Answer: D
NEW QUESTION # 55
......
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