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| Section | Objectives |
|---|---|
| Replication and High Availability | - Failover and elections - Replica set architecture - Read/write concerns |
| Sharding and Scalability | - Balancing and scaling operations - Shard keys and distribution strategy - Sharded cluster architecture |
| Security | - Role-based access control (RBAC) - Encryption at rest and in transit - Authentication and authorization |
| Indexing and Performance Tuning | - Explain plans and diagnostics - Query performance optimization - Index types and usage |
| MongoDB CRUD Operations | - Insert, update, and delete operations - Querying and filtering documents - Working with documents and BSON types |
| Data Modeling | - Relationships in MongoDB - Embedding vs referencing - Schema design principles |
| Aggregation Framework | - Data transformation and grouping - Aggregation operators - Aggregation pipeline stages |
| Backup, Restore, and Operations | - Monitoring and maintenance - Backup strategies and tools - Restore procedures |
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NEW QUESTION # 19
What is a limitation of encryption at rest?
Answer: A
Explanation:
Encryption at rest protects persisted database data on storage media, but it is not a complete defense against every form of data exposure or breach. MongoDB ' s encrypted storage capabilities protect files and storage- level data, yet applications and the database server must still process authorized data in usable form. A compromised application account, stolen database credentials, excessive privileges, or a malicious authorized user can therefore expose data even when the underlying storage is encrypted. Network traffic also requires separate transport protection such as TLS; encryption at rest does not secure data as it travels between clients and servers. Option B incorrectly describes transport encryption rather than an at-rest capability. Option A is too subjective and not an inherent limitation, particularly in managed deployments where storage encryption may be enabled automatically. Option D is similarly overstated; encryption adds cryptographic work, but severe performance impact is not an intrinsic defining limitation. The correct security model is defense in depth: combine at-rest encryption with TLS, strong authentication, least-privilege authorization, auditing, and secure key management. Among the choices, C best captures the limitation that at-rest encryption alone cannot prevent all data breaches.
Study Guide reference/topic:Security, Networking, and Encryption - encryption at rest, TLS, authorization, and defense in depth.
NEW QUESTION # 20
Which of the following about Capped Collections is correct?
Answer: D
NEW QUESTION # 21
What feature is one of the differences between using MongoDB and a relational database management system (RDBMS) database?
Answer: B
Explanation:
MongoDB ' s flexible document schema is a defining distinction from the conventional fixed-table model associated with relational database systems. Documents in the same MongoDB collection can contain different fields, nested structures, arrays, or representations when the application domain requires that flexibility. MongoDB can still enforce schema rules through validation, so a flexible schema does not mean the absence of governance; it means the physical model is not inherently restricted to one rigid row structure for every record. The other choices are not sufficiently distinguishing. Relational database platforms can provide replication, authentication, and horizontal partitioning or sharding techniques, so those capabilities are not unique architectural differences. MongoDB ' s BSON document model also allows data that is commonly normalized across multiple relational tables to be embedded within one application-oriented document where that design is appropriate. This can reduce joins and map more naturally to object structures used by applications. DBAs must still choose schemas carefully based on access patterns, document growth, duplication, and consistency requirements. Among the choices, Flexible Schema most accurately represents a fundamental MongoDB-versus-RDBMS difference, so option D is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - document databases, BSON data modeling, flexible schemas, and relational-model differences.
NEW QUESTION # 22
Update If Correct is an approach for which of the following concepts in MongoDB:
Answer: C
NEW QUESTION # 23
Given the following MongoDB document in the users collection:
{ " userid " : 1, " first " : " John " , " roles " : " Basic " }
Which statement results in this document?
{ " userid " : 1, " first " : " John " , " roles " : " SuperUser " }
Answer: B
Explanation:
replaceOne() replaces the matched document ' s content with the replacement document, except that the immutable _id value is preserved when it is not explicitly changed. Ordinary application fields that are omitted from the replacement disappear. The required final document must retain userid, retain first, and change roles to " SuperUser " . Option B supplies all three fields and therefore produces the requested document structure. Option A omits userid, so that ordinary field would be removed from the replacement.
Option C omits both userid and first, leaving only roles in addition to the preserved _id. Option D incorrectly uses the update operator $set inside a replacement document. $set belongs with update operations such as updateOne() or updateMany(); a replaceOne() replacement must be a replacement document rather than an update-operator document. This distinction is important for DBAs and application developers because accidental use of a partial replacement can delete fields that were intended to remain. If the goal is only to change one field, updateOne({userid:1}, {$set:{roles: " SuperUser " }}) would normally be safer. Given the choices, B is correct.
Study Guide reference/topic:MongoDB Architecture and Core Operations - replaceOne(), full-document replacement, and update-versus-replacement semantics.
NEW QUESTION # 24
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